From ebd968fe51d28f408da88b00cedaa568f83609a4 Mon Sep 17 00:00:00 2001 From: FelipeMarra Date: Tue, 10 Dec 2024 09:26:08 -0300 Subject: [PATCH] add code --- .gitignore | 9 + README.md | 33 +- assets/bardo_overview.png | Bin 0 -> 76302 bytes experiments/cotw/cotw.py | 154 ++ experiments/eval/download_soudtrack.py | 8 + experiments/eval/fad_metrics_table.py | 77 + experiments/eval/kld_metrics_table.py | 59 + experiments/eval/metrics_table.py | 59 + experiments/eval/playlists_duration.py | 27 + experiments/eval/run_fad_cmd.py | 7 + experiments/eval/short_kld_metrics_table.py | 67 + experiments/osni/osni.py | 154 ++ playground/notebooks/ollama_bardo_0_pt-br .py | 34 + .../notebooks/ollama_bardo_0_pt-br.ipynb | 182 ++ .../notebooks/ollama_bardo_1_pt-br.ipynb | 131 ++ .../notebooks/ollama_bardo_2_pt-br.ipynb | 164 ++ .../notebooks/ollama_bardo_3_2_pt-br.ipynb | 145 ++ .../notebooks/ollama_bardo_3_pt-br.ipynb | 179 ++ playground/notebooks/sig_kld.ipynb | 131 ++ playground/notebooks/test_get_mel.ipynb | 453 +++++ .../test_mtg_baseline_best_model.ipynb | 474 +++++ .../notebooks/test_passt_1_epoch_model.ipynb | 1644 +++++++++++++++++ .../test_passt_1_epoch_on_bardos.ipynb | 1622 ++++++++++++++++ .../basic_continuation_encodec_crossfade.py | 102 + playground/scripts/basic_continuation_gen.py | 73 + playground/scripts/basic_continuation_mdb.py | 63 + playground/scripts/continuation_test_set.py | 317 ++++ playground/scripts/long_gen.py | 76 + playground/scripts/ollama_api_test.py | 29 + playground/scripts/skip_encodec_test.py | 328 ++++ project.toml | 8 + requirements.txt | 208 +++ setup.cfg | 2 + setup.py | 53 + src/__init__.py | 0 src/babel_bardo/__init__.py | 7 + src/babel_bardo/bardo.py | 143 ++ .../cache/transcripts/Pf4HzTdA2WE.json | 1 + .../cache/transcripts/tZWU5iPjQpI.json | 1 + src/babel_bardo/constants.py | 10 + src/babel_bardo/eval_metrics.py | 357 ++++ src/babel_bardo/log.py | 38 + src/babel_bardo/music_gen_bypass.py | 60 + src/babel_bardo/ollama_api.py | 81 + src/babel_bardo/passt/passt.py | 33 + src/babel_bardo/templates.py | 349 ++++ src/babel_bardo/transcript_iter.py | 137 ++ src/babel_bardo/video_manager.py | 134 ++ 48 files changed, 8421 insertions(+), 2 deletions(-) create mode 100644 assets/bardo_overview.png create mode 100644 experiments/cotw/cotw.py create mode 100644 experiments/eval/download_soudtrack.py create mode 100644 experiments/eval/fad_metrics_table.py create mode 100644 experiments/eval/kld_metrics_table.py create mode 100644 experiments/eval/metrics_table.py create mode 100644 experiments/eval/playlists_duration.py create mode 100644 experiments/eval/run_fad_cmd.py create mode 100644 experiments/eval/short_kld_metrics_table.py create mode 100644 experiments/osni/osni.py create mode 100644 playground/notebooks/ollama_bardo_0_pt-br .py create mode 100644 playground/notebooks/ollama_bardo_0_pt-br.ipynb create mode 100644 playground/notebooks/ollama_bardo_1_pt-br.ipynb create mode 100644 playground/notebooks/ollama_bardo_2_pt-br.ipynb create mode 100644 playground/notebooks/ollama_bardo_3_2_pt-br.ipynb create mode 100644 playground/notebooks/ollama_bardo_3_pt-br.ipynb create mode 100644 playground/notebooks/sig_kld.ipynb create mode 100644 playground/notebooks/test_get_mel.ipynb create mode 100644 playground/notebooks/test_mtg_baseline_best_model.ipynb create mode 100644 playground/notebooks/test_passt_1_epoch_model.ipynb create mode 100644 playground/notebooks/test_passt_1_epoch_on_bardos.ipynb create mode 100644 playground/scripts/basic_continuation_encodec_crossfade.py create mode 100644 playground/scripts/basic_continuation_gen.py create mode 100644 playground/scripts/basic_continuation_mdb.py create mode 100644 playground/scripts/continuation_test_set.py create mode 100644 playground/scripts/long_gen.py create mode 100644 playground/scripts/ollama_api_test.py create mode 100644 playground/scripts/skip_encodec_test.py create mode 100644 project.toml create mode 100644 requirements.txt create mode 100644 setup.cfg create mode 100644 setup.py create mode 100644 src/__init__.py create mode 100644 src/babel_bardo/__init__.py create mode 100644 src/babel_bardo/bardo.py create mode 100644 src/babel_bardo/cache/transcripts/Pf4HzTdA2WE.json create mode 100644 src/babel_bardo/cache/transcripts/tZWU5iPjQpI.json create mode 100644 src/babel_bardo/constants.py create mode 100644 src/babel_bardo/eval_metrics.py create mode 100644 src/babel_bardo/log.py create mode 100644 src/babel_bardo/music_gen_bypass.py create mode 100644 src/babel_bardo/ollama_api.py create mode 100644 src/babel_bardo/passt/passt.py create mode 100644 src/babel_bardo/templates.py create mode 100644 src/babel_bardo/transcript_iter.py create mode 100644 src/babel_bardo/video_manager.py diff --git a/.gitignore b/.gitignore index 82f9275..e89026f 100644 --- a/.gitignore +++ b/.gitignore @@ -160,3 +160,12 @@ cython_debug/ # and can be added to the global gitignore or merged into this file. For a more nuclear # option (not recommended) you can uncomment the following to ignore the entire idea folder. #.idea/ + +#Pytorch Pickle Numpy +*.pickle +*.pth +*.npy + +# Bardo Results +experiments/cotw/results/ +experiments/osni/results/ \ No newline at end of file diff --git a/README.md b/README.md index 0301497..cb5bd35 100644 --- a/README.md +++ b/README.md @@ -1,2 +1,31 @@ -# babel-bardo -Coming Soon +# Babel Bardo +## Introdution +Babel bardo is a system designed to generate music for Tabletop Role-Playing Games (TRPGs) in real-time. The system works in a 30 seconds window, by executing the following procedure: + +``` + For each 30s of gamplay: + Extract the players dialogs transcriptions with a Speech Recognition (SR) system + Use a LLM to transform the transcription in a music description + Feed a Text-to-music model (TTM) with the music description + Play the generated piece of music +``` + +A visual representation of the system can be seen in the Figure 1. + +![Figure 1. And overview o the Babel Bardo system](/assets/bardo_overview.png) + +By prompting the LLM in different ways we obtained different versions of the system. For more details head towards the paper here. The following list presents the nomeclature difference between the systems in the paper and the ones presented in this repository: + +* Babel Bardo - Baseline (B): Bardo 1 +* Babel Bardo - Emotion (E): Bardo 0 +* Babel Bardo - Description (D): Bardo 2 +* Babel Bardo - Description Continuation (DC): Bardo 3 + +## Installation +#TODO collab + +## Usage +#TODO + +## Techinical Details +#TODO \ No newline at end of file diff --git a/assets/bardo_overview.png b/assets/bardo_overview.png new file mode 100644 index 0000000000000000000000000000000000000000..5b5d35f15726b3eeac1e7b4bf7182332668ed28c GIT binary patch literal 76302 zcmYhj2RN7Q`#-J{B`TDRNE%9H3mGXPiIVI+v-e&_iI61OD^U`Xl`<2u$t;`fL`FjR zzwYPz|Nefz&+#0`=Xr|v`@XOHy3X^p&O7M3qAV2!BLxWw3Dp%jX=M@;(r6Nr?V-EK z@F!MDZO`$4q>dM_sO-Z3ymlD};=dW3E~`7;v^8~dHE=K?F|)C?HsNwKaxgKmalCEo zG`FK%0zY(;_@PS2wk5IY$#iw@n#zUK6wkN2boAs_XSYeyUVV5)LMGz2LgV6b z-jgR!GDbuvvh(IL?Frl|XsGt~uKKn#qm-4xJs;-=k8BRje8`iF`KGf}l5LrNwI|Q) 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z3~p_+zbVp)gyw2|V=ShORJGZ{hA!;8q>_^f(O|8!qA@9M%nAqQNU2b~Hr0DnsKY^f z5nf3G&pv;)1`R4DH8lwlkRT#K+a4#9BKiZOHgX$*NZHlZWhB zn_q&U`QKMp^g69m)PGM4>izJG|NGLn{@-68QDe03n5N-K8<8f8#w{I{Ql-1k{tqb3 B$w&YI literal 0 HcmV?d00001 diff --git a/experiments/cotw/cotw.py b/experiments/cotw/cotw.py new file mode 100644 index 0000000..8cd1536 --- /dev/null +++ b/experiments/cotw/cotw.py @@ -0,0 +1,154 @@ +#! python3 -m pip uninstall pt_brdo -y && python3 -m pip install --no-dependencies -e . +import os +import json +import pathlib +import shutil +from pytubefix import Playlist + +from babel_bardo.templates import * +from babel_bardo import Bardo, fit_audio_in_video +from babel_bardo.eval_metrics import get_kld, get_kld_for_transitions, get_fad_vggish, get_kld_for_segments_transitions + + +RPGNAME = 'Call Of The Wild' +PLAYLIST = 'https://www.youtube.com/playlist?list=PLMZlu4rxEyKKl-Ecgca3bbVDMZ89SaQHN' +EXCERPT_LENGTH = 60 * 30 +BARDO_ROOT_PATH = pathlib.Path(__file__).parent.joinpath('results').resolve() +SOUNDTRACK_PATH = None # path for FAD background statistics + +playlist = Playlist(PLAYLIST) +playlist = [(video.video_id, video.length) for video in playlist.videos] + +no_sub_vids = ['d4WEJ2thu4E'] + +def write_eps_start(template:BardoTemplate, eps_start:dict): + if not os.path.isdir(template.root_path): + os.makedirs(template.root_path) + + with open(template.eps_start_file, "w") as json_file: + json.dump(eps_start, json_file, indent=4) + +def load_eps_start(template:BardoTemplate, playlist) -> dict: + eps_start = None + + if os.path.isfile(template.eps_start_file): + with open(template.eps_start_file, 'r') as json_file: + eps_start = json.load(json_file) + else: + eps_start = {video_id:None for video_id, _ in playlist} + + return eps_start + +def write_metrics(template:BardoTemplate, metrics:dict, type:str): + file = '' + if type == 'kld': + file = template.kld_file + elif type == 'fad': + file = template.fad_file + elif type == 't_kld': + file = template.transitions_kld_metrics_file + elif type == 's_t_kld': + file = template.segments_transitions_kld_metrics_file + + with open(file, "w") as json_file: + json.dump(metrics, json_file, indent=4) + +def load_metrics(path_to_file:str) -> dict: + metrics = None + + if os.path.isfile(path_to_file): + with open(path_to_file, 'r') as json_file: + metrics = json.load(json_file) + else: + metrics = {} + + return metrics + +wav_background_path = '' + +for idx_v, video in enumerate(playlist): + video_id, video_length = video + + bardo_templates:list[BardoTemplate] = [ + Bardo1(RPGNAME, BARDO_ROOT_PATH, video_id, translate=False), #Bardo1 commes 1st because it don't use Ollama + Bardo0(RPGNAME, BARDO_ROOT_PATH, video_id), + Bardo2(RPGNAME, BARDO_ROOT_PATH, video_id), + Bardo3(RPGNAME, BARDO_ROOT_PATH, video_id) + ] + + if video_id in no_sub_vids: + continue + + for idx_t, template in enumerate(bardo_templates): + is_last_template = idx_t == len(bardo_templates) -1 + + # Set the same start for the same episode in set_random_excerpt + eps_start = load_eps_start(template, playlist) + + if eps_start[video_id] != None: + print(f"\n LOADED eps_start {eps_start[video_id]} for {video_id} \n") + + eps_start[video_id] = template.set_random_excerpt(EXCERPT_LENGTH, video_length, eps_start[video_id]) + + print(f"\n Video {video_id} is starting at {eps_start[video_id]}") + write_eps_start(template, eps_start) + + print(template.log_header) + + # Bardo Play + if not os.path.isfile(template.generated_audio_file): + bardo = Bardo(template) + bardo.play() + else: + print("Skipping generating", template.generated_audio_file) + + fit_audio_in_video(template, video_id) + + # Get Metrics + # KLD + kld_metrics = load_metrics(template.kld_file) + + if kld_metrics.get(template.bardo_name) == None: + kld_data = get_kld(template.original_audios_path, template.original_audio_file, template.generated_audio_file) + + print(f"\n MEAN KLD for {template.bardo_name}, video {video_id} = {kld_data['mean']} \n") + + kld_metrics[template.bardo_name] = {k:str(v) for k,v in kld_data.items()} + write_metrics(template, kld_metrics, 'kld') + + # KLD for segments transitions + s_t_kld_metrics = load_metrics(template.segments_transitions_kld_metrics_file) + + if s_t_kld_metrics.get(template.bardo_name) == None: + s_t_kld_data = get_kld_for_segments_transitions(template.generated_audio_file) + + print(f"\n MEAN SEGMENT TRANSITION KLD for {template.bardo_name}, video {video_id} = {s_t_kld_data['mean']} \n") + + s_t_kld_metrics[template.bardo_name] = {k:str(v) for k,v in s_t_kld_data.items()} + write_metrics(template, s_t_kld_metrics, 's_t_kld') + + # KLD for transitions + t_kld_metrics = load_metrics(template.transitions_kld_metrics_file) + + if t_kld_metrics.get(template.bardo_name) == None: + t_kld_data = get_kld_for_transitions(template.original_audios_path, template.original_audio_file, template.generated_audio_file, template.transitions_eval_audios_path) + + print(f"\n MEAN TRANSITION KLD for {template.bardo_name}, video {video_id} = {t_kld_data['mean']} \n") + + t_kld_metrics[template.bardo_name] = {k:str(v) for k,v in t_kld_data.items()} + write_metrics(template, t_kld_metrics, 't_kld') + + #FAD + if SOUNDTRACK_PATH != None: + fad_metrics = load_metrics(template.fad_file) + if fad_metrics.get(template.bardo_name) == None: + overall_fad, ep_fad, wav_background_path = get_fad_vggish(SOUNDTRACK_PATH, template.generated_audios_path, template.generated_audio_file, False) + + fad_metrics[template.bardo_name] = {} + fad_metrics[template.bardo_name]['ep'] = str(ep_fad) + fad_metrics[template.bardo_name]['overall'] = str(overall_fad) + + print(f"\n FAD for {template.bardo_name} = ep: {ep_fad}, overall: {overall_fad} \n") + write_metrics(template, fad_metrics, 'fad') + +shutil.rmtree(wav_background_path) \ No newline at end of file diff --git a/experiments/eval/download_soudtrack.py b/experiments/eval/download_soudtrack.py new file mode 100644 index 0000000..b7212e1 --- /dev/null +++ b/experiments/eval/download_soudtrack.py @@ -0,0 +1,8 @@ +from babel_bardo.video_manager import get_audio_playlist_for_fad + +DOWNLOAD_PATH = '/home/felipe/Desktop/movies_soundtracks/inter' +PLAYLIST = 'https://www.youtube.com/playlist?list=PLco_u-O9FeQ_cV5gc3VdUHoQYBI73MYkU' + +print(DOWNLOAD_PATH) + +get_audio_playlist_for_fad(DOWNLOAD_PATH, PLAYLIST) \ No newline at end of file diff --git a/experiments/eval/fad_metrics_table.py b/experiments/eval/fad_metrics_table.py new file mode 100644 index 0000000..68cf6eb --- /dev/null +++ b/experiments/eval/fad_metrics_table.py @@ -0,0 +1,77 @@ +#%% Imports & Constants +import os +import json + +import pandas as pd +import matplotlib.pyplot as plt + +RPG = 'cotw' +METRICS_FOLDER = f'/home/felipe/Documents/Github/Pt-Brdo/experiments/{RPG}/results/metrics' +EPS_START_FILE = f'/home/felipe/Documents/Github/Pt-Brdo/experiments/{RPG}/results/eps_start.json' + +BARDOS = ['bardo_1', 'bardo_0', 'bardo_2', 'bardo_3'] + +#%% +def load_dict(path:str) -> dict: + with open(path, 'r') as json_file: + my_dict = json.load(json_file) + + return my_dict + +#%% +data_dict = {bardo:[] for bardo in BARDOS} +data_index = [] + +eps_start = load_dict(EPS_START_FILE) +last_video = list(eps_start.keys())[-1] +videos_ids = list(eps_start.items()) +valid_vides_ids = [video_id for video_id, start_time in videos_ids if start_time != None] + +latex_table = "" +overall_row = "" +added_overall = False + +for v_idx, video_id in enumerate(valid_vides_ids): + metrics_file = os.path.join(METRICS_FOLDER, f"fad_{video_id}.json") + + #data_index.append(f"Ep {idx+1} ({video_id}) KLD Mean|Std:") + latex_table += "\multicolumn{1}{c}{\\textbf{"+f"{v_idx+1}"+"}} & " + data_index.append(f"Ep {v_idx+1}") + + for b_idx, bardo in enumerate(BARDOS): + video_metrics = load_dict(metrics_file) + fad_ep = round(float(video_metrics[bardo]['ep']), 2) + + if b_idx == len(BARDOS)-1: + latex_table += f"{fad_ep} \\\\ \n" + else: + latex_table += f"{fad_ep} & " + + data_dict[bardo].append(f"{fad_ep}") + + if video_id == last_video: + fad_overall = round(float(video_metrics[bardo]['overall']), 2) + data_dict[bardo].append(fad_overall) + + if not added_overall: + overall_row += "\multicolumn{1}{c}{\\textbf{Overall}} &" + added_overall = True + + if b_idx == len(BARDOS)-1: + overall_row += f"{fad_overall} \\\\ \n" + else: + overall_row += f"{fad_overall} & " + + if video_id == last_video: + data_index.append("Overall:") + +latex_table += overall_row + +# %% +print(latex_table) + +# %% +df = pd.DataFrame(data_dict, index=data_index) + +#df +df.style.set_caption("Mean KLD for COTW").highlight_min(color='blue', axis=1) \ No newline at end of file diff --git a/experiments/eval/kld_metrics_table.py b/experiments/eval/kld_metrics_table.py new file mode 100644 index 0000000..f42b0e1 --- /dev/null +++ b/experiments/eval/kld_metrics_table.py @@ -0,0 +1,59 @@ +#%% Imports & Constants +import os +import json + +import pandas as pd +import matplotlib.pyplot as plt + +RPG = 'cotw' +EPS_START_FILE = f'/home/felipe/Documents/Github/Pt-Brdo/experiments/{RPG}/results/eps_start.json' + +#METRICS_FOLDER = f'/home/felipe/Documents/Github/Pt-Brdo/experiments/{RPG}/results/metrics' +#METRICS_FOLDER = f'/home/felipe/Documents/Github/Pt-Brdo/experiments/{RPG}/results/transitions_eval/metrics' +METRICS_FOLDER = f'/home/felipe/Documents/Github/Pt-Brdo/experiments/{RPG}/results/segments_transitions_eval' + +BARDOS = ['bardo_1', 'bardo_0', 'bardo_2', 'bardo_3'] + +#%% +def load_dict(path:str) -> dict: + with open(path, 'r') as json_file: + my_dict = json.load(json_file) + + return my_dict + +#%% +data_dict = {bardo:[] for bardo in BARDOS} +data_index = [] + +eps_start = load_dict(EPS_START_FILE) +videos_ids = list(eps_start.items()) +valid_vides_ids = [video_id for video_id, start_time in videos_ids if start_time != None] + +latex_table = "" + +for v_idx, video_id in enumerate(valid_vides_ids): + metrics_file = os.path.join(METRICS_FOLDER, f"s_t_kld_{video_id}.json") + + #data_index.append(f"Ep {idx+1} ({video_id}) KLD Mean|Std:") + latex_table += "\multicolumn{1}{c}{\\textbf{"+f"{v_idx+1}"+"}} & " + data_index.append(f"Ep {v_idx+1}") + + for b_idx, bardo in enumerate(BARDOS): + video_metrics = load_dict(metrics_file) + kld_mean = round(float(video_metrics[bardo]['mean']), 2) + kld_std = round(float(video_metrics[bardo]['std']), 2) + + if b_idx == len(BARDOS)-1: + latex_table += f"{kld_mean}$\pm${kld_std} \\\\ \n" + else: + latex_table += f"{kld_mean}$\pm${kld_std} & " + + data_dict[bardo].append(f"{kld_mean}$\pm${kld_std}") + +# %% +print(latex_table) +# %% +df = pd.DataFrame(data_dict, index=data_index) + +#df +df.style.set_caption("Mean KLD for COTW").highlight_min(color='blue', axis=1) \ No newline at end of file diff --git a/experiments/eval/metrics_table.py b/experiments/eval/metrics_table.py new file mode 100644 index 0000000..b9568d6 --- /dev/null +++ b/experiments/eval/metrics_table.py @@ -0,0 +1,59 @@ +#%% Imports & Constants +import os +import json +import pandas as pd + +METRICS_FOLDER = '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/results/metrics' +EPS_START_FILE = '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/results/eps_start.json' + +#METRICS_FOLDER = '/home/felipe/Documents/Github/Pt-Brdo/experiments/osni/results/metrics' +#EPS_START_FILE = '/home/felipe/Documents/Github/Pt-Brdo/experiments/osni/results/eps_start.json' + +BARDOS = ['bardo_0', 'bardo_1', 'bardo_2', 'bardo_3'] + +#%% +def load_dict(path:str) -> dict: + with open(path, 'r') as json_file: + my_dict = json.load(json_file) + + return my_dict + +#%% +data_dict = {bardo:[] for bardo in BARDOS} +data_index = [] + +eps_start = load_dict(EPS_START_FILE) +last_video = list(eps_start.keys())[-1] +videos_ids = list(eps_start.items()) + +for idx, values in enumerate(videos_ids): + video_id, start_time = values + + if start_time == None: + continue + + metrics_file = os.path.join(METRICS_FOLDER, f"metrics_{video_id}.json") + + data_index.append(f"Ep {idx+1} ({video_id}) BCE:") + #data_index.append(f"Ep {idx+1} KLD:") + + for bardo in BARDOS: + video_metrics = load_dict(metrics_file) + mkld = round(float(video_metrics[bardo]['bce']['mean']), 5) + data_dict[bardo].append(mkld) + + #if video_id == last_video: + # fad = round(float(video_metrics[bardo]['fad']), 5) + # data_dict[bardo].append(fad) + + #if video_id == last_video: + # data_index.append("FAD:") + +# %% +df = pd.DataFrame(data_dict, index=data_index) + +df +df.style.highlight_min(color = 'blue', axis = 1) +#df.style.text_gradient(cmap="RdYlGn", vmin=2, vmax=15) + +# %% diff --git a/experiments/eval/playlists_duration.py b/experiments/eval/playlists_duration.py new file mode 100644 index 0000000..da3b8fe --- /dev/null +++ b/experiments/eval/playlists_duration.py @@ -0,0 +1,27 @@ +import datetime +from pytubefix import Playlist +import numpy as np + +PLAYLIST = 'https://www.youtube.com/playlist?list=PLJ3A9Ntb1tg69P94-iQo0xCdgaBVX-ecu' +playlist = Playlist(PLAYLIST) +playlist = [(video.video_id, video.length) for video in playlist.videos] + +no_sub_vids = ['wiGlOf3mCVM', '6yHpP3dsaws', '-ucsTx0u4Lo'] +video_lengths = [] + +for idx_v, video in enumerate(playlist): + video_id, video_length = video + + if video_id in no_sub_vids: + continue + + print(video, video_length) + video_lengths.append(video_length) + +video_lengths = np.array(video_lengths) + +total = str(datetime.timedelta(seconds=int(video_lengths.sum()))) +mean = str(datetime.timedelta(seconds=int(video_lengths.mean()))) +std = str(datetime.timedelta(seconds=int(video_lengths.std()))) + +print("Total:", total, "Mean:", mean, "Std:", std) \ No newline at end of file diff --git a/experiments/eval/run_fad_cmd.py b/experiments/eval/run_fad_cmd.py new file mode 100644 index 0000000..924181b --- /dev/null +++ b/experiments/eval/run_fad_cmd.py @@ -0,0 +1,7 @@ +from babel_bardo.eval_metrics import get_fad_vggish + +back_path = '/root/soudtrack' +eval_path = '/root/Pt-Brdo/experiments/cotw/results/original/audios' +overall_fad, ep_fad, wav_background_path = get_fad_vggish(back_path, eval_path, None, remove_back = False) + +print(overall_fad, ep_fad, wav_background_path) \ No newline at end of file diff --git a/experiments/eval/short_kld_metrics_table.py b/experiments/eval/short_kld_metrics_table.py new file mode 100644 index 0000000..0379475 --- /dev/null +++ b/experiments/eval/short_kld_metrics_table.py @@ -0,0 +1,67 @@ +#%% Imports & Constants +import os +import json + +import pandas as pd +import numpy as np + +RPG = 'cotw' +EPS_START_FILE = f'/home/felipe/Documents/Github/Pt-Brdo/experiments/{RPG}/results/eps_start.json' + +METRICS_FOLDER = f'/home/felipe/Documents/Github/Pt-Brdo/experiments/{RPG}/results/metrics' +#METRICS_FOLDER = f'/home/felipe/Documents/Github/Pt-Brdo/experiments/{RPG}/results/transitions_eval/metrics' +#METRICS_FOLDER = f'/home/felipe/Documents/Github/Pt-Brdo/experiments/{RPG}/results/segments_transitions_eval' + +BARDOS = ['bardo_1', 'bardo_0', 'bardo_2', 'bardo_3'] + +#%% +def load_dict(path:str) -> dict: + with open(path, 'r') as json_file: + my_dict = json.load(json_file) + + return my_dict + +#%% +data_dict = {bardo:[] for bardo in BARDOS} + +eps_start = load_dict(EPS_START_FILE) +videos_ids = list(eps_start.items()) +valid_vides_ids = [video_id for video_id, start_time in videos_ids if start_time != None] + +latex_table = "\multicolumn{1}{c} & " + +for v_idx, video_id in enumerate(valid_vides_ids): + metrics_file = os.path.join(METRICS_FOLDER, f"kld_{video_id}.json") + + + for b_idx, bardo in enumerate(BARDOS): + video_metrics = load_dict(metrics_file) + + klds = video_metrics[bardo]['list'][1:-2].split(',') + klds = [float(kld) for kld in klds] + + data_dict[bardo] = data_dict[bardo] + klds + +for b_idx, bardo in enumerate(BARDOS): + klds = np.array(data_dict[bardo]) + + klds_mean = round(klds.mean(), 2) + klds_std = round(klds.std(), 2) + + if b_idx == len(BARDOS)-1: + latex_table += f"{klds_mean}$\pm${klds_std} \\\\ \n" + else: + latex_table += f"{klds_mean}$\pm${klds_std} & " + + data_dict[bardo] = [klds_mean] + +print(data_dict) + + +# %% +print(latex_table) +# %% +df = pd.DataFrame(data_dict) + +#df +df.style.set_caption("Mean KLD for COTW").highlight_min(color='blue', axis=1) \ No newline at end of file diff --git a/experiments/osni/osni.py b/experiments/osni/osni.py new file mode 100644 index 0000000..8a082a9 --- /dev/null +++ b/experiments/osni/osni.py @@ -0,0 +1,154 @@ +#! python3 -m pip uninstall pt_brdo -y && python3 -m pip install --no-dependencies -e . +import json +import pathlib +import shutil + +from pytubefix import Playlist + +from babel_bardo.templates import * +from babel_bardo import Bardo, fit_audio_in_video +from babel_bardo.eval_metrics import get_kld, get_kld_for_segments_transitions, get_kld_for_transitions, get_fad_vggish + +RPGNAME = 'O Segredo Na Ilha' +PLAYLIST = 'https://www.youtube.com/playlist?list=PLJ3A9Ntb1tg69P94-iQo0xCdgaBVX-ecu' +EXCERPT_LENGTH = 60 * 30 +BARDO_ROOT_PATH = pathlib.Path(__file__).parent.joinpath('results').resolve() +SOUNDTRACK_PATH = None # path for FAD background statistics + +playlist = Playlist(PLAYLIST) +playlist = [(video.video_id, video.length) for video in playlist.videos] + +no_sub_vids = ['wiGlOf3mCVM', '6yHpP3dsaws', '-ucsTx0u4Lo'] + +def write_eps_start(template:BardoTemplate, eps_start:dict): + if not os.path.isdir(template.root_path): + os.makedirs(template.root_path) + + with open(template.eps_start_file, "w") as json_file: + json.dump(eps_start, json_file, indent=4) + +def load_eps_start(template:BardoTemplate, playlist) -> dict: + eps_start = None + + if os.path.isfile(template.eps_start_file): + with open(template.eps_start_file, 'r') as json_file: + eps_start = json.load(json_file) + else: + eps_start = {video_id:None for video_id, _ in playlist} + + return eps_start + +def write_metrics(template:BardoTemplate, metrics:dict, type:str): + file = '' + if type == 'kld': + file = template.kld_file + elif type == 'fad': + file = template.fad_file + elif type == 't_kld': + file = template.transitions_kld_metrics_file + elif type == 's_t_kld': + file = template.segments_transitions_kld_metrics_file + + with open(file, "w") as json_file: + json.dump(metrics, json_file, indent=4) + +def load_metrics(path_to_file:str) -> dict: + metrics = None + + if os.path.isfile(path_to_file): + with open(path_to_file, 'r') as json_file: + metrics = json.load(json_file) + else: + metrics = {} + + return metrics + +wav_background_path = '' + +for idx_v, video in enumerate(playlist): + video_id, video_length = video + + bardo_templates:list[BardoTemplate] = [ + Bardo1(RPGNAME, BARDO_ROOT_PATH, video_id, translate=True, language='pt'), #Bardo1 commes 1st because it don't use Ollama + Bardo0(RPGNAME, BARDO_ROOT_PATH, video_id, language='pt'), + Bardo2(RPGNAME, BARDO_ROOT_PATH, video_id, language='pt'), + Bardo3(RPGNAME, BARDO_ROOT_PATH, video_id, language='pt') + ] + + if video_id in no_sub_vids: + continue + + for idx_t, template in enumerate(bardo_templates): + is_last_template = idx_t == len(bardo_templates) -1 + + # Set the same start for the same episode in set_random_excerpt + eps_start = load_eps_start(template, playlist) + + if eps_start[video_id] != None: + print(f"\n LOADED eps_start {eps_start[video_id]} for {video_id} \n") + + eps_start[video_id] = template.set_random_excerpt(EXCERPT_LENGTH, video_length, eps_start[video_id]) + + print(f"\n Video {video_id} is starting at {eps_start[video_id]}") + write_eps_start(template, eps_start) + + print(template.log_header) + + # Bardo Play + if not os.path.isfile(template.generated_audio_file): + bardo = Bardo(template) + bardo.play() + else: + print("Skipping generating", template.generated_audio_file) + + fit_audio_in_video(template, video_id) + + # Get Metrics + #KLD + kld_metrics = load_metrics(template.kld_file) + + if kld_metrics.get(template.bardo_name) == None: + kld_data = get_kld(template.original_audios_path, template.original_audio_file, template.generated_audio_file) + + print(f"\n MEAN KLD for {template.bardo_name}, video {video_id} = {kld_data['mean']} \n") + + kld_metrics[template.bardo_name] = {k:str(v) for k,v in kld_data.items()} + write_metrics(template, kld_metrics, 'kld') + + #KLD for segments transitions + s_t_kld_metrics = load_metrics(template.segments_transitions_kld_metrics_file) + + if s_t_kld_metrics.get(template.bardo_name) == None: + s_t_kld_data = get_kld_for_segments_transitions(template.generated_audio_file) + + print(f"\n MEAN SEGMENT TRANSITION KLD for {template.bardo_name}, video {video_id} = {s_t_kld_data['mean']} \n") + + s_t_kld_metrics[template.bardo_name] = {k:str(v) for k,v in s_t_kld_data.items()} + write_metrics(template, s_t_kld_metrics, 's_t_kld') + + # KLD for transitions + t_kld_metrics = load_metrics(template.transitions_kld_metrics_file) + + if t_kld_metrics.get(template.bardo_name) == None: + t_kld_data = get_kld_for_transitions(template.original_audios_path, template.original_audio_file, template.generated_audio_file, template.transitions_eval_audios_path) + + print(f"\n MEAN TRANSITION KLD for {template.bardo_name}, video {video_id} = {t_kld_data['mean']} \n") + + t_kld_metrics[template.bardo_name] = {k:str(v) for k,v in t_kld_data.items()} + write_metrics(template, t_kld_metrics, 't_kld') + + #FAD + if SOUNDTRACK_PATH != None: + fad_metrics = load_metrics(template.fad_file) + if fad_metrics.get(template.bardo_name) == None: + overall_fad, ep_fad, wav_background_path = get_fad_vggish(SOUNDTRACK_PATH, template.generated_audios_path, template.generated_audio_file, False) + + fad_metrics[template.bardo_name] = {} + fad_metrics[template.bardo_name]['ep'] = str(ep_fad) + fad_metrics[template.bardo_name]['overall'] = str(overall_fad) + + print(f"\n FAD for {template.bardo_name} = ep: {ep_fad}, overall: {overall_fad} \n") + + write_metrics(template, fad_metrics, 'fad') + +shutil.rmtree(wav_background_path) \ No newline at end of file diff --git a/playground/notebooks/ollama_bardo_0_pt-br .py b/playground/notebooks/ollama_bardo_0_pt-br .py new file mode 100644 index 0000000..adeb014 --- /dev/null +++ b/playground/notebooks/ollama_bardo_0_pt-br .py @@ -0,0 +1,34 @@ +# %% +from babel_bardo import OllamaChat, TranscriptIter +from itertools import islice + +# %% +SEED = 2147483647 +ollamaChat = OllamaChat(SEED) + +# %% +VIDEO_ID = 'Pf4HzTdA2WE' +START_TIME = 15529 +END_TIME = 15829 +t_iter = TranscriptIter(VIDEO_ID, start_time=START_TIME, end_time=END_TIME) + +# %% +common_setup = "You are going to receive a series of Role-playing Game (RPG) video transcript excerpts from players dialogs playing a campaing called O Segredo na Ilha. " +task_setup = "You will classify each dialog into one of the following emotions: Happy, Calm, Agitated, or Suspenseful. Your answer will be just one word, that is, one of those exact emotions." +prompt_setup = common_setup + task_setup + +res = ollamaChat.send(prompt_setup, setup=True) +print(res) + +# %% +for description in islice(t_iter, 20): + frases, _ = description + res = ollamaChat.send(frases) + + print("Frases:", frases) + print("Ollama:", res) + print(ollamaChat.chat_state) + print(len(ollamaChat.chat_state)) + print() + + diff --git a/playground/notebooks/ollama_bardo_0_pt-br.ipynb b/playground/notebooks/ollama_bardo_0_pt-br.ipynb new file mode 100644 index 0000000..8b1130b --- /dev/null +++ b/playground/notebooks/ollama_bardo_0_pt-br.ipynb @@ -0,0 +1,182 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "usage: ipykernel_launcher.py [-h] [--train-data TRAIN_DATA]\n", + " [--val-data VAL_DATA] [--freeze-text]\n", + " [--freeze-text-after FREEZE_TEXT_AFTER]\n", + " [--train-ipc TRAIN_IPC] [--val-ipc VAL_IPC]\n", + " [--train-num-samples TRAIN_NUM_SAMPLES]\n", + " [--val-num-samples VAL_NUM_SAMPLES]\n", + " [--dataset-type {webdataset,csv,auto,toy}]\n", + " [--csv-separator CSV_SEPARATOR]\n", + " [--csv-img-key CSV_IMG_KEY]\n", + " [--csv-caption-key CSV_CAPTION_KEY]\n", + " [--imagenet-val IMAGENET_VAL]\n", + " [--imagenet-v2 IMAGENET_V2]\n", + " [--datasetnames DATASETNAMES [DATASETNAMES ...]]\n", + " [--full-train-dataset FULL_TRAIN_DATASET [FULL_TRAIN_DATASET ...]]\n", + " [--exclude-eval-dataset EXCLUDE_EVAL_DATASET [EXCLUDE_EVAL_DATASET ...]]\n", + " [--datasetinfos DATASETINFOS [DATASETINFOS ...]]\n", + " [--dataset-proportion DATASET_PROPORTION]\n", + " [--remotedata]\n", + " [--class-label-path CLASS_LABEL_PATH]\n", + " [--datasetpath DATASETPATH] [--logs LOGS]\n", + " [--log-local] [--name NAME] [--workers WORKERS]\n", + " [--batch-size BATCH_SIZE] [--epochs EPOCHS]\n", + " [--lr LR] [--beta1 BETA1] [--beta2 BETA2]\n", + " [--eps EPS] [--momentum MOMENTUM] [--wd WD]\n", + " [--split-opt] [--lr-pretrained LR_PRETRAINED]\n", + " [--beta1-pretrained BETA1_PRETRAINED]\n", + " [--beta2-pretrained BETA2_PRETRAINED]\n", + " [--eps-pretrained EPS_PRETRAINED]\n", + " [--wd-pretrained WD_PRETRAINED]\n", + " [--momentum-pretrained MOMENTUM_PRETRAINED]\n", + " [--lr-new LR_NEW] [--beta1-new BETA1_NEW]\n", + " [--beta2-new BETA2_NEW] [--eps-new EPS_NEW]\n", + " [--wd-new WD_NEW] [--momentum-new MOMENTUM_NEW]\n", + " [--warmup WARMUP] [--use-bn-sync]\n", + " [--skip-scheduler]\n", + " [--save-frequency SAVE_FREQUENCY]\n", + " [--save-top-performance SAVE_TOP_PERFORMANCE]\n", + " [--save-most-recent]\n", + " [--zeroshot-frequency ZEROSHOT_FREQUENCY]\n", + " [--val-frequency VAL_FREQUENCY] [--resume RESUME]\n", + " [--precision {amp,fp16,fp32}] [--amodel AMODEL]\n", + " [--tmodel TMODEL]\n", + " [--pretrained-audio PRETRAINED_AUDIO]\n", + " [--pretrained-text PRETRAINED_TEXT]\n", + " [--pretrained PRETRAINED] [--pretrained-image]\n", + " [--lock-image]\n", + " [--lock-image-unlocked-groups LOCK_IMAGE_UNLOCKED_GROUPS]\n", + " [--lock-image-freeze-bn-stats] [--local-loss]\n", + " [--gather-with-grad] [--force-quick-gelu]\n", + " [--torchscript] [--trace] [--dist-url DIST_URL]\n", + " [--dist-backend DIST_BACKEND]\n", + " [--report-to REPORT_TO]\n", + " [--wandb-notes WANDB_NOTES] [--C C] [--debug]\n", + " [--copy-codebase] [--horovod]\n", + " [--ddp-static-graph] [--no-set-device-rank]\n", + " [--seed SEED]\n", + " [--top-k-checkpoint-select-dataset TOP_K_CHECKPOINT_SELECT_DATASET]\n", + " [--top-k-checkpoint-select-metric TOP_K_CHECKPOINT_SELECT_METRIC]\n", + " [--openai-model-cache-dir OPENAI_MODEL_CACHE_DIR]\n", + " [--optimizer OPTIMIZER] [--parallel-eval]\n", + " [--no-eval] [--lp-mlp] [--lp-freeze]\n", + " [--lp-act LP_ACT] [--lp-loss LP_LOSS]\n", + " [--lp-metrics LP_METRICS] [--lp-lr LP_LR]\n", + " [--kappa KAPPA] [--data-filling DATA_FILLING]\n", + " [--data-truncating DATA_TRUNCATING]\n", + " [--clap-mlploss] [--wandb-id WANDB_ID]\n", + " [--sleep SLEEP] [--enable-fusion]\n", + " [--fusion-type FUSION_TYPE] [--mixup]\n", + " [--text-augment-selection TEXT_AUGMENT_SELECTION]\n", + " [--prefetch-factor PREFETCH_FACTOR]\n", + "ipykernel_launcher.py: error: ambiguous option: --f=/home/felipe/.local/share/jupyter/runtime/kernel-v2-2148319bunsuK3SbGtB.json could match --freeze-text, --freeze-text-after, --full-train-dataset, --force-quick-gelu, --fusion-type\n" + ] + }, + { + "ename": "SystemExit", + "evalue": "2", + "output_type": "error", + "traceback": [ + "An exception has occurred, use %tb to see the full traceback.\n", + "\u001b[0;31mSystemExit\u001b[0m\u001b[0;31m:\u001b[0m 2\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/felipe/Documents/Github/Pt-Brdo/env/lib/python3.10/site-packages/IPython/core/interactiveshell.py:3585: UserWarning: To exit: use 'exit', 'quit', or Ctrl-D.\n", + " warn(\"To exit: use 'exit', 'quit', or Ctrl-D.\", stacklevel=1)\n" + ] + } + ], + "source": [ + "from babel_bardo import OllamaChat, TranscriptIter\n", + "from itertools import islice" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "SEED = 2147483647\n", + "ollamaChat = OllamaChat(SEED)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "VIDEO_ID = 'Pf4HzTdA2WE'\n", + "START_TIME = 15529\n", + "END_TIME = 15829\n", + "t_iter = TranscriptIter(VIDEO_ID, start_time=START_TIME, end_time=END_TIME)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "common_setup = \"You are going to receive a series of Role-playing Game (RPG) video transcript excerpts from players dialogs playing a campaing called O Segredo na Ilha. \"\n", + "task_setup = \"You will classify each dialog into one of the following emotions: Happy, Calm, Agitated, or Suspenseful. Your answer will be just one word, that is, one of those exact emotions.\"\n", + "prompt_setup = common_setup + task_setup\n", + "\n", + "res = ollamaChat.send(prompt_setup, setup=True)\n", + "res" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "for description in islice(t_iter, 20):\n", + " frases, _ = description\n", + " res = ollamaChat.send(frases)\n", + "\n", + " print(\"Frases:\", frases)\n", + " print(\"Ollama:\", res)\n", + " print(len(ollamaChat.chat_state))\n", + " print()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "env", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/playground/notebooks/ollama_bardo_1_pt-br.ipynb b/playground/notebooks/ollama_bardo_1_pt-br.ipynb new file mode 100644 index 0000000..ed5d56c --- /dev/null +++ b/playground/notebooks/ollama_bardo_1_pt-br.ipynb @@ -0,0 +1,131 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/felipe/Documents/Github/Pt-Brdo/env/lib/python3.10/site-packages/torch/cuda/__init__.py:138: UserWarning: CUDA initialization: CUDA unknown error - this may be due to an incorrectly set up environment, e.g. changing env variable CUDA_VISIBLE_DEVICES after program start. Setting the available devices to be zero. (Triggered internally at ../c10/cuda/CUDAFunctions.cpp:108.)\n", + " return torch._C._cuda_getDeviceCount() > 0\n", + "/home/felipe/Documents/Github/Pt-Brdo/env/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n" + ] + } + ], + "source": [ + "from babel_bardo import OllamaChat, TranscriptIter\n", + "from itertools import islice" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "SEED = 2147483647\n", + "ollamaChat = OllamaChat(SEED)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "VIDEO_ID = 'Pf4HzTdA2WE'\n", + "START_TIME = 15529\n", + "END_TIME = 15829\n", + "t_iter = TranscriptIter(VIDEO_ID, start_time=START_TIME, end_time=END_TIME)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "''" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "common_setup = \"You are going to receive a series of Role-playing Game (RPG) video transcript excerpts from players dialogs playing a campaing called O Segredo na Ilha. \"\n", + "task_setup = \"For each transcript excerpt you will translate the dialog to english. Your answer will contain translation only.\"\n", + "prompt_setup = common_setup + task_setup\n", + "\n", + "res = ollamaChat.send(prompt_setup, setup=True)\n", + "res" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Using cached transcript located at /home/felipe/Documents/Github/Pt-Brdo/src/pt_brdo/cache/transcripts/Pf4HzTdA2WE.json\n", + "Frases: quadro grande no fim do corredor e quando você era para ele sozinha mesmo de longe você começa a sentir um pouco estranha né se você senti como se ele tivesse quase te chamando bom e você segue em direção a ele E você tá parada na frente dele vai parede você ta observando\n", + "Ollama: There's a large painting at the end of the corridor and when you're alone in front of it, even from a distance, you start to feel a little strange, right? As if you felt like it was almost calling you, okay? And you follow in its direction. You stop in front of it, against the wall, observing it.\n", + "\n", + "Frases: essa aventura o que você sente e com Salt observasse de volta se você sente os pelos o seu braço arrepiarem e quando você se dá conta os seus dedos estão tremendo e essa noiva e essa mulher alma dela brisa no quadro que olhando de volta se você sente algo pingando no seu braço que são Lágrimas\n", + "Ollama: in this adventure, what you feel is that as Salt observes back, you feel the hairs on your arm standing up and when you realize it, your fingers are trembling. And that bride, that woman's soul whispers in the painting, looking back at you, you feel something dripping down your arm, which are tears.\n", + "\n", + "Frases: são suas lágrimas ela está chorando e sem parar a aventura e começa a se mover e o movimento do líquido derretendo sutilmente e hipnótico e ela te entendi o hábito a conversa com você\n", + "Ollama: they're her tears, she's crying and the adventure starts to move and the movement of the liquid is subtly melting and hypnotic. And she understands you, she's accustomed to talking to you.\n", + "\n", + "Frases: ela te chamou para cá o que você veio até aqui você viu toda a sua vida para finalmente entender isso essa pintura e não tem mais volta se você não consegue mais olhar para nenhuma outra coisa o e através do Véu e ela também não consegue olhar para nada e além de você\n", + "Ollama: she called you here, that's why you came all the way to this place, you saw your whole life to finally understand this, this painting. And there's no going back if you can't look at anything else anymore, and through the veil, she also can't look at anything beyond you.\n", + "\n", + "Frases: é a verdadeira arte é só um reflexo dos Sentimentos de quem a contempla E como você se sente agora ele se você pudesse definir o principal sentimento que tá dormindo a sua mente agora o seu coração e uma palavra E qual seria ela vazio o vazio\n", + "Ollama: it's the true art, it's just a reflection of the feelings of who contemplates it. And how do you feel now? If you could define the main feeling that's dwelling in your mind right now, your heart, and one word... Which would it be? Empty... The emptiness.\n", + "\n" + ] + } + ], + "source": [ + "for description in islice(t_iter, 5):\n", + " frases, _ = description\n", + " res = ollamaChat.send(frases)\n", + "\n", + " print(\"Frases:\", frases)\n", + " print(\"Ollama:\", res)\n", + " print()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "env", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/playground/notebooks/ollama_bardo_2_pt-br.ipynb b/playground/notebooks/ollama_bardo_2_pt-br.ipynb new file mode 100644 index 0000000..813673a --- /dev/null +++ b/playground/notebooks/ollama_bardo_2_pt-br.ipynb @@ -0,0 +1,164 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/felipe/Documents/Github/Pt-Brdo/env/lib/python3.10/site-packages/torch/cuda/__init__.py:138: UserWarning: CUDA initialization: CUDA unknown error - this may be due to an incorrectly set up environment, e.g. changing env variable CUDA_VISIBLE_DEVICES after program start. Setting the available devices to be zero. (Triggered internally at ../c10/cuda/CUDAFunctions.cpp:108.)\n", + " return torch._C._cuda_getDeviceCount() > 0\n", + "/home/felipe/Documents/Github/Pt-Brdo/env/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n" + ] + } + ], + "source": [ + "from babel_bardo import OllamaChat, TranscriptIter\n", + "from itertools import islice" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "SEED = 2147483647\n", + "ollamaChat = OllamaChat(SEED)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "VIDEO_ID = 'Pf4HzTdA2WE'\n", + "START_TIME = 15529\n", + "END_TIME = 15829\n", + "t_iter = TranscriptIter(VIDEO_ID, start_time=START_TIME, end_time=END_TIME)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "''" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "common_setup = \"You are going to receive a series of Role-playing Game (RPG) video transcript excerpts from players dialogs playing a campaing called O Segredo na Ilha. \"\n", + "task_setup = \"For each transcript excerpt you will, in english, describe a piece of background music that matches that excerpt. Your answer will be fed to a text to music model and should only contain a music description. The description should be concise. Do not mention any dialog excerpt details. Here is a prompt that worked well with the music model: A grand orchestral arrangement with thunderous percussion, epic brass fanfares, and soaring strings, creating a cinematic atmosphere fit for a heroic battle.\"\n", + "prompt_setup = common_setup + task_setup\n", + "\n", + "res = ollamaChat.send(prompt_setup, setup=True)\n", + "res" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Using cached transcript located at /home/felipe/Documents/Github/Pt-Brdo/src/pt_brdo/cache/transcripts/Pf4HzTdA2WE.json\n", + "Frases: quadro grande no fim do corredor e quando você era para ele sozinha mesmo de longe você começa a sentir um pouco estranha né se você senti como se ele tivesse quase te chamando bom e você segue em direção a ele E você tá parada na frente dele vai parede você ta observando\n", + "Ollama: A soft, eerie ambiance with a solo piano playing a slow, contemplative melody, accompanied by subtle, whispery sound effects and an underlying sense of tension, creating an atmosphere of quiet unease and foreboding.\n", + "\n", + "Frases: essa aventura o que você sente e com Salt observasse de volta se você sente os pelos o seu braço arrepiarem e quando você se dá conta os seus dedos estão tremendo e essa noiva e essa mulher alma dela brisa no quadro que olhando de volta se você sente algo pingando no seu braço que são Lágrimas\n", + "Ollama: A haunting, ethereal soundscape with a mournful cello and a soft, whispery choir, accompanied by the faint sound of wind chimes and a subtle, pulsing heartbeat, creating an atmosphere of sorrowful longing and otherworldly presence.\n", + "\n", + "Frases: são suas lágrimas ela está chorando e sem parar a aventura e começa a se mover e o movimento do líquido derretendo sutilmente e hipnótico e ela te entendi o hábito a conversa com você\n", + "Ollama: A mesmerizing, ambient texture with a gentle, flowing water sound and a soft, wordless vocal hum, accompanied by a subtle, shimmering piano pattern and a gradual, swelling strings section, creating an atmosphere of hypnotic calmness and mystical connection.\n", + "\n", + "Frases: ela te chamou para cá o que você veio até aqui você viu toda a sua vida para finalmente entender isso essa pintura e não tem mais volta se você não consegue mais olhar para nenhuma outra coisa o e através do Véu e ela também não consegue olhar para nada e além de você\n", + "Ollama: A profound, cinematic soundscape with a soaring strings section and a deep, resonant cello, accompanied by a subtle, shimmering piano pattern and a gradual, building crescendo, creating an atmosphere of intense emotional revelation and irreversible transformation.\n", + "\n", + "Frases: é a verdadeira arte é só um reflexo dos Sentimentos de quem a contempla E como você se sente agora ele se você pudesse definir o principal sentimento que tá dormindo a sua mente agora o seu coração e uma palavra E qual seria ela vazio o vazio\n", + "Ollama: A sparse, atmospheric soundscape with a solo piano playing a simple, haunting melody, accompanied by a subtle, eerie ambiance and a gradual, fading resonance, creating an atmosphere of profound emptiness and contemplative silence.\n", + "\n", + "Frases: se você sente você tá dentro do vazio você é vazia todo o os seus arredores é vazio e você sente ela e atrás de você você olha para a praça e ela tá de frente para você uma figura encapuzada derretida olhando no fundo da sua alma\n", + "Ollama: A dark, ominous soundscape with a low, pulsing drone and a faint, whispery voice, accompanied by the sound of distant, mournful whispers and a subtle, unsettling creaking, creating an atmosphere of foreboding presence and eerie, soul-piercing scrutiny.\n", + "\n", + "Frases: se você sente vindo de dentro do vazio e e você vai palavras E por que que você fez isso comigo ou menos 2 unidade 1 E aí e eu converso com ela possa você pode tentar se você realmente me ama por quê que foi a minha vida eu não quero destruir você eu nem sei quem é você e nos dois unidade 1\n", + "Ollama: A heart-wrenching, emotional soundscape with a solo violin playing a mournful, yearning melody, accompanied by a subtle, pulsing heartbeat and a faint, whispery echo of distant memories, creating an atmosphere of desperate longing and anguished introspection.\n", + "\n", + "Frases: eu já consigo correr me chama pelo meu nome a dor Alva se você os estrago tudo se alguém se alguém descobrir isso a descobrir o que menos dois descer idade e E aí e quantos Km dá de Jaraguá AM [Música]\n", + "Ollama: A frantic, urgent soundscape with a driving rhythm and a pulsing electronic beat, accompanied by a soaring synth lead and a sense of building tension, creating an atmosphere of desperate flight and panicked escape.\n", + "\n" + ] + }, + { + "ename": "KeyboardInterrupt", + "evalue": "", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[5], line 3\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m description \u001b[38;5;129;01min\u001b[39;00m islice(t_iter, \u001b[38;5;241m20\u001b[39m):\n\u001b[1;32m 2\u001b[0m frases, _ \u001b[38;5;241m=\u001b[39m description\n\u001b[0;32m----> 3\u001b[0m res \u001b[38;5;241m=\u001b[39m \u001b[43mollamaChat\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msend\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfrases\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 5\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mFrases:\u001b[39m\u001b[38;5;124m\"\u001b[39m, frases)\n\u001b[1;32m 6\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mOllama:\u001b[39m\u001b[38;5;124m\"\u001b[39m, res)\n", + "File \u001b[0;32m~/Documents/Github/Pt-Brdo/src/pt_brdo/ollama_api.py:55\u001b[0m, in \u001b[0;36mOllamaChat.send\u001b[0;34m(self, prompt, setup)\u001b[0m\n\u001b[1;32m 53\u001b[0m \u001b[38;5;28;01mwhile\u001b[39;00m fail \u001b[38;5;241m==\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m \u001b[38;5;129;01mand\u001b[39;00m count \u001b[38;5;241m<\u001b[39m \u001b[38;5;241m5\u001b[39m:\n\u001b[1;32m 54\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m---> 55\u001b[0m res \u001b[38;5;241m=\u001b[39m \u001b[43mrequests\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpost\u001b[49m\u001b[43m(\u001b[49m\u001b[43murl\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mjson\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mpayload\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mheaders\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mheaders\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 56\u001b[0m fail \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m\n\u001b[1;32m 57\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n", + "File \u001b[0;32m~/Documents/Github/Pt-Brdo/env/lib/python3.10/site-packages/requests/api.py:115\u001b[0m, in \u001b[0;36mpost\u001b[0;34m(url, data, json, **kwargs)\u001b[0m\n\u001b[1;32m 103\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mpost\u001b[39m(url, data\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, json\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[1;32m 104\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124mr\u001b[39m\u001b[38;5;124;03m\"\"\"Sends a POST request.\u001b[39;00m\n\u001b[1;32m 105\u001b[0m \n\u001b[1;32m 106\u001b[0m \u001b[38;5;124;03m :param url: URL for the new :class:`Request` object.\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 112\u001b[0m \u001b[38;5;124;03m :rtype: requests.Response\u001b[39;00m\n\u001b[1;32m 113\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[0;32m--> 115\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mrequest\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mpost\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43murl\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdata\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdata\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mjson\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mjson\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/Documents/Github/Pt-Brdo/env/lib/python3.10/site-packages/requests/api.py:59\u001b[0m, in \u001b[0;36mrequest\u001b[0;34m(method, url, **kwargs)\u001b[0m\n\u001b[1;32m 55\u001b[0m \u001b[38;5;66;03m# By using the 'with' statement we are sure the session is closed, thus we\u001b[39;00m\n\u001b[1;32m 56\u001b[0m \u001b[38;5;66;03m# avoid leaving sockets open which can trigger a ResourceWarning in some\u001b[39;00m\n\u001b[1;32m 57\u001b[0m \u001b[38;5;66;03m# cases, and look like a memory leak in others.\u001b[39;00m\n\u001b[1;32m 58\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m sessions\u001b[38;5;241m.\u001b[39mSession() \u001b[38;5;28;01mas\u001b[39;00m session:\n\u001b[0;32m---> 59\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43msession\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrequest\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmethod\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmethod\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43murl\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43murl\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/Documents/Github/Pt-Brdo/env/lib/python3.10/site-packages/requests/sessions.py:589\u001b[0m, in \u001b[0;36mSession.request\u001b[0;34m(self, method, url, params, data, headers, cookies, files, auth, timeout, allow_redirects, proxies, hooks, stream, verify, cert, json)\u001b[0m\n\u001b[1;32m 584\u001b[0m send_kwargs \u001b[38;5;241m=\u001b[39m {\n\u001b[1;32m 585\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtimeout\u001b[39m\u001b[38;5;124m\"\u001b[39m: timeout,\n\u001b[1;32m 586\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mallow_redirects\u001b[39m\u001b[38;5;124m\"\u001b[39m: allow_redirects,\n\u001b[1;32m 587\u001b[0m }\n\u001b[1;32m 588\u001b[0m send_kwargs\u001b[38;5;241m.\u001b[39mupdate(settings)\n\u001b[0;32m--> 589\u001b[0m resp \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msend\u001b[49m\u001b[43m(\u001b[49m\u001b[43mprep\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43msend_kwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 591\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m resp\n", + "File \u001b[0;32m~/Documents/Github/Pt-Brdo/env/lib/python3.10/site-packages/requests/sessions.py:703\u001b[0m, in \u001b[0;36mSession.send\u001b[0;34m(self, request, **kwargs)\u001b[0m\n\u001b[1;32m 700\u001b[0m start \u001b[38;5;241m=\u001b[39m preferred_clock()\n\u001b[1;32m 702\u001b[0m \u001b[38;5;66;03m# Send the request\u001b[39;00m\n\u001b[0;32m--> 703\u001b[0m r \u001b[38;5;241m=\u001b[39m \u001b[43madapter\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msend\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrequest\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 705\u001b[0m \u001b[38;5;66;03m# Total elapsed time of the request (approximately)\u001b[39;00m\n\u001b[1;32m 706\u001b[0m elapsed \u001b[38;5;241m=\u001b[39m preferred_clock() \u001b[38;5;241m-\u001b[39m start\n", + "File \u001b[0;32m~/Documents/Github/Pt-Brdo/env/lib/python3.10/site-packages/requests/adapters.py:667\u001b[0m, in \u001b[0;36mHTTPAdapter.send\u001b[0;34m(self, request, stream, timeout, verify, cert, proxies)\u001b[0m\n\u001b[1;32m 664\u001b[0m timeout \u001b[38;5;241m=\u001b[39m TimeoutSauce(connect\u001b[38;5;241m=\u001b[39mtimeout, read\u001b[38;5;241m=\u001b[39mtimeout)\n\u001b[1;32m 666\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 667\u001b[0m resp \u001b[38;5;241m=\u001b[39m \u001b[43mconn\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43murlopen\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 668\u001b[0m \u001b[43m \u001b[49m\u001b[43mmethod\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrequest\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmethod\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 669\u001b[0m \u001b[43m \u001b[49m\u001b[43murl\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43murl\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 670\u001b[0m \u001b[43m \u001b[49m\u001b[43mbody\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrequest\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mbody\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 671\u001b[0m \u001b[43m \u001b[49m\u001b[43mheaders\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrequest\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mheaders\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 672\u001b[0m \u001b[43m \u001b[49m\u001b[43mredirect\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m 673\u001b[0m \u001b[43m \u001b[49m\u001b[43massert_same_host\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m 674\u001b[0m \u001b[43m \u001b[49m\u001b[43mpreload_content\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m 675\u001b[0m \u001b[43m \u001b[49m\u001b[43mdecode_content\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m 676\u001b[0m \u001b[43m \u001b[49m\u001b[43mretries\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmax_retries\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 677\u001b[0m \u001b[43m \u001b[49m\u001b[43mtimeout\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtimeout\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 678\u001b[0m \u001b[43m \u001b[49m\u001b[43mchunked\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mchunked\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 679\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 681\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m (ProtocolError, \u001b[38;5;167;01mOSError\u001b[39;00m) \u001b[38;5;28;01mas\u001b[39;00m err:\n\u001b[1;32m 682\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mConnectionError\u001b[39;00m(err, request\u001b[38;5;241m=\u001b[39mrequest)\n", + "File \u001b[0;32m~/Documents/Github/Pt-Brdo/env/lib/python3.10/site-packages/urllib3/connectionpool.py:789\u001b[0m, in \u001b[0;36mHTTPConnectionPool.urlopen\u001b[0;34m(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, preload_content, decode_content, **response_kw)\u001b[0m\n\u001b[1;32m 786\u001b[0m response_conn \u001b[38;5;241m=\u001b[39m conn \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m release_conn \u001b[38;5;28;01melse\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m 788\u001b[0m \u001b[38;5;66;03m# Make the request on the HTTPConnection object\u001b[39;00m\n\u001b[0;32m--> 789\u001b[0m response \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_make_request\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 790\u001b[0m \u001b[43m \u001b[49m\u001b[43mconn\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 791\u001b[0m \u001b[43m \u001b[49m\u001b[43mmethod\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 792\u001b[0m \u001b[43m \u001b[49m\u001b[43murl\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 793\u001b[0m \u001b[43m \u001b[49m\u001b[43mtimeout\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtimeout_obj\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 794\u001b[0m \u001b[43m \u001b[49m\u001b[43mbody\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mbody\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 795\u001b[0m \u001b[43m \u001b[49m\u001b[43mheaders\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mheaders\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 796\u001b[0m \u001b[43m \u001b[49m\u001b[43mchunked\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mchunked\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 797\u001b[0m \u001b[43m \u001b[49m\u001b[43mretries\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mretries\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 798\u001b[0m \u001b[43m \u001b[49m\u001b[43mresponse_conn\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mresponse_conn\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 799\u001b[0m \u001b[43m \u001b[49m\u001b[43mpreload_content\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mpreload_content\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 800\u001b[0m \u001b[43m \u001b[49m\u001b[43mdecode_content\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdecode_content\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 801\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mresponse_kw\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 802\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 804\u001b[0m \u001b[38;5;66;03m# Everything went great!\u001b[39;00m\n\u001b[1;32m 805\u001b[0m clean_exit \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n", + "File \u001b[0;32m~/Documents/Github/Pt-Brdo/env/lib/python3.10/site-packages/urllib3/connectionpool.py:536\u001b[0m, in \u001b[0;36mHTTPConnectionPool._make_request\u001b[0;34m(self, conn, method, url, body, headers, retries, timeout, chunked, response_conn, preload_content, decode_content, enforce_content_length)\u001b[0m\n\u001b[1;32m 534\u001b[0m \u001b[38;5;66;03m# Receive the response from the server\u001b[39;00m\n\u001b[1;32m 535\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 536\u001b[0m response \u001b[38;5;241m=\u001b[39m \u001b[43mconn\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgetresponse\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 537\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m (BaseSSLError, \u001b[38;5;167;01mOSError\u001b[39;00m) \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m 538\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_raise_timeout(err\u001b[38;5;241m=\u001b[39me, url\u001b[38;5;241m=\u001b[39murl, timeout_value\u001b[38;5;241m=\u001b[39mread_timeout)\n", + "File \u001b[0;32m~/Documents/Github/Pt-Brdo/env/lib/python3.10/site-packages/urllib3/connection.py:464\u001b[0m, in \u001b[0;36mHTTPConnection.getresponse\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 461\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mresponse\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m HTTPResponse\n\u001b[1;32m 463\u001b[0m \u001b[38;5;66;03m# Get the response from http.client.HTTPConnection\u001b[39;00m\n\u001b[0;32m--> 464\u001b[0m httplib_response \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgetresponse\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 466\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m 467\u001b[0m assert_header_parsing(httplib_response\u001b[38;5;241m.\u001b[39mmsg)\n", + "File \u001b[0;32m/usr/lib/python3.10/http/client.py:1375\u001b[0m, in \u001b[0;36mHTTPConnection.getresponse\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 1373\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m 1374\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m-> 1375\u001b[0m \u001b[43mresponse\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mbegin\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1376\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mConnectionError\u001b[39;00m:\n\u001b[1;32m 1377\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mclose()\n", + "File \u001b[0;32m/usr/lib/python3.10/http/client.py:318\u001b[0m, in \u001b[0;36mHTTPResponse.begin\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 316\u001b[0m \u001b[38;5;66;03m# read until we get a non-100 response\u001b[39;00m\n\u001b[1;32m 317\u001b[0m \u001b[38;5;28;01mwhile\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[0;32m--> 318\u001b[0m version, status, reason \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_read_status\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 319\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m status \u001b[38;5;241m!=\u001b[39m CONTINUE:\n\u001b[1;32m 320\u001b[0m \u001b[38;5;28;01mbreak\u001b[39;00m\n", + "File \u001b[0;32m/usr/lib/python3.10/http/client.py:279\u001b[0m, in \u001b[0;36mHTTPResponse._read_status\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 278\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_read_status\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[0;32m--> 279\u001b[0m line \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mstr\u001b[39m(\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mreadline\u001b[49m\u001b[43m(\u001b[49m\u001b[43m_MAXLINE\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m+\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m)\u001b[49m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124miso-8859-1\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 280\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(line) \u001b[38;5;241m>\u001b[39m _MAXLINE:\n\u001b[1;32m 281\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m LineTooLong(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mstatus line\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", + "File \u001b[0;32m/usr/lib/python3.10/socket.py:705\u001b[0m, in \u001b[0;36mSocketIO.readinto\u001b[0;34m(self, b)\u001b[0m\n\u001b[1;32m 703\u001b[0m \u001b[38;5;28;01mwhile\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[1;32m 704\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 705\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_sock\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrecv_into\u001b[49m\u001b[43m(\u001b[49m\u001b[43mb\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 706\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m timeout:\n\u001b[1;32m 707\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_timeout_occurred \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n", + "\u001b[0;31mKeyboardInterrupt\u001b[0m: " + ] + } + ], + "source": [ + "for description in islice(t_iter, 20):\n", + " frases, _ = description\n", + " res = ollamaChat.send(frases)\n", + "\n", + " print(\"Frases:\", frases)\n", + " print(\"Ollama:\", res)\n", + " print()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "env", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/playground/notebooks/ollama_bardo_3_2_pt-br.ipynb b/playground/notebooks/ollama_bardo_3_2_pt-br.ipynb new file mode 100644 index 0000000..dc47f63 --- /dev/null +++ b/playground/notebooks/ollama_bardo_3_2_pt-br.ipynb @@ -0,0 +1,145 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/felipe/Documents/Github/Pt-Brdo/env/lib/python3.10/site-packages/torch/cuda/__init__.py:138: UserWarning: CUDA initialization: CUDA unknown error - this may be due to an incorrectly set up environment, e.g. changing env variable CUDA_VISIBLE_DEVICES after program start. Setting the available devices to be zero. (Triggered internally at ../c10/cuda/CUDAFunctions.cpp:108.)\n", + " return torch._C._cuda_getDeviceCount() > 0\n", + "/home/felipe/Documents/Github/Pt-Brdo/env/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n" + ] + } + ], + "source": [ + "from babel_bardo import OllamaChat, TranscriptIter\n", + "from itertools import islice" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "SEED = 2147483647\n", + "ollamaChat = OllamaChat(SEED)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "VIDEO_ID = 'Pf4HzTdA2WE'\n", + "START_TIME = 15529\n", + "END_TIME = 15829\n", + "t_iter = TranscriptIter(VIDEO_ID, start_time=START_TIME, end_time=END_TIME)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "''" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "common_setup = \"You are going to receive a series of Role-playing Game (RPG) video transcript excerpts from players dialogs playing a campaing called O Segredo na Ilha. \"\n", + "task_setup = \"Your task is to determine whether each excerpt is from the same campaign chapter as the previous one, and based on this determination, either return the word 'CONTINUE.' or generate a music description in english. If no previous transcript has been provided, consider that the current excerpt is the beginning of a new chapter. For each transcript excerpt you will describe a piece of background music that matches that excerpt. If the excerpt is part of the same story chapter as the previous excerpt, the given answer should only contain the word 'CONTINUE.' Your description will be fed to a text to music model. The description should be concise. Do not mention anythom about the dialog excerpt. Here is a prompt that worked well with the music model: A grand orchestral arrangement with thunderous percussion, epic brass fanfares, and soaring strings, creating a cinematic atmosphere fit for a heroic battle.\"\n", + "prompt_setup = common_setup + task_setup\n", + "res = ollamaChat.send(prompt_setup, setup=True)\n", + "res" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Using cached transcript located at /home/felipe/Documents/Github/Pt-Brdo/src/pt_brdo/cache/transcripts/Pf4HzTdA2WE.json\n", + "Frases: quadro grande no fim do corredor e quando você era para ele sozinha mesmo de longe você começa a sentir um pouco estranha né se você senti como se ele tivesse quase te chamando bom e você segue em direção a ele E você tá parada na frente dele vai parede você ta observando\n", + "Ollama: A soft, eerie ambiance with a solo piano playing a slow, contemplative melody, accompanied by subtle, whispery sound effects, creating an atmosphere of quiet unease and foreboding curiosity.\n", + "\n", + "Frases: essa aventura o que você sente e com Salt observasse de volta se você sente os pelos o seu braço arrepiarem e quando você se dá conta os seus dedos estão tremendo e essa noiva e essa mulher alma dela brisa no quadro que olhando de volta se você sente algo pingando no seu braço que são Lágrimas\n", + "Ollama: A haunting, ethereal soundscape with a mournful cello solo, accompanied by faint, ghostly whispers and the soft, mournful sighs of a distant choir, evoking an atmosphere of sorrow, longing, and otherworldly presence.\n", + "\n", + "Frases: são suas lágrimas ela está chorando e sem parar a aventura e começa a se mover e o movimento do líquido derretendo sutilmente e hipnótico e ela te entendi o hábito a conversa com você\n", + "Ollama: CONTINUE.\n", + "\n", + "Frases: ela te chamou para cá o que você veio até aqui você viu toda a sua vida para finalmente entender isso essa pintura e não tem mais volta se você não consegue mais olhar para nenhuma outra coisa o e através do Véu e ela também não consegue olhar para nada e além de você\n", + "Ollama: A poignant, introspective piano piece with a simple yet powerful melody, accompanied by the soft rustling of fabric and the faint whisper of a woman's voice, creating an atmosphere of tender intimacy, longing, and shared understanding.\n", + "\n", + "Frases: é a verdadeira arte é só um reflexo dos Sentimentos de quem a contempla E como você se sente agora ele se você pudesse definir o principal sentimento que tá dormindo a sua mente agora o seu coração e uma palavra E qual seria ela vazio o vazio\n", + "Ollama: A desolate, ambient soundscape with a lone, mournful violin playing a slow, elegiac melody, accompanied by the faint echo of empty space and the soft whisper of wind, evoking an atmosphere of haunting emptiness and profound desolation.\n", + "\n", + "Frases: se você sente você tá dentro do vazio você é vazia todo o os seus arredores é vazio e você sente ela e atrás de você você olha para a praça e ela tá de frente para você uma figura encapuzada derretida olhando no fundo da sua alma\n", + "Ollama: A dark, foreboding atmosphere with a low, ominous drone, accompanied by the soft creaking of old wooden floorboards and the faint whisper of distant, mournful chanting, evoking an atmosphere of creeping dread and malevolent presence.\n", + "\n", + "Frases: se você sente vindo de dentro do vazio e e você vai palavras E por que que você fez isso comigo ou menos 2 unidade 1 E aí e eu converso com ela possa você pode tentar se você realmente me ama por quê que foi a minha vida eu não quero destruir você eu nem sei quem é você e nos dois unidade 1\n", + "Ollama: CONTINUE.\n", + "\n", + "Frases: eu já consigo correr me chama pelo meu nome a dor Alva se você os estrago tudo se alguém se alguém descobrir isso a descobrir o que menos dois descer idade e E aí e quantos Km dá de Jaraguá AM [Música]\n", + "Ollama: A frantic, pulsing electronic track with a driving beat and urgent synths, accompanied by the sound of footsteps pounding the pavement and distant, muffled voices, evoking an atmosphere of desperate urgency and panicked flight.\n", + "\n", + "Frases: e você vai acabar Toy dois vocês escutam o outro lado da mansão Oi amile perrando e se fossemos algo tão puro entendeu tudo errado e a gente vai começar a frisar que o parada você grita por socorro essa figura\n", + "Ollama: A chaotic, discordant soundscape with shattering glass and splintering wood, accompanied by the sound of frantic screams and desperate pleas for help, evoking an atmosphere of utter panic and catastrophic collapse.\n", + "\n", + "Frases: encosta em você e ou menos 2 cm idade e e você entra em choque você deixa o avião cai ele quebra e você sai você para de olhar para o quadro que você tá fazendo até agora o que vocês curtam americano do outro lado da missão se você tem que louquecer Camille você tem três rodadas para alguém tirar dessa dessa situação\n", + "Ollama: A jarring, disorienting soundscape with the sound of screeching tires and crunching metal, accompanied by the distant hum of sirens and the muffled voices of people in a state of panic, evoking an atmosphere of intense chaos and desperate urgency.\n", + "\n" + ] + } + ], + "source": [ + "for description in islice(t_iter, 20):\n", + " frases, _ = description\n", + " res = ollamaChat.send(frases)\n", + "\n", + " print(\"Frases:\", frases)\n", + " print(\"Ollama:\", res)\n", + " print()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "env", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/playground/notebooks/ollama_bardo_3_pt-br.ipynb b/playground/notebooks/ollama_bardo_3_pt-br.ipynb new file mode 100644 index 0000000..ae68836 --- /dev/null +++ b/playground/notebooks/ollama_bardo_3_pt-br.ipynb @@ -0,0 +1,179 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/felipe/Documents/Github/Pt-Brdo/env/lib/python3.10/site-packages/torch/cuda/__init__.py:138: UserWarning: CUDA initialization: CUDA unknown error - this may be due to an incorrectly set up environment, e.g. changing env variable CUDA_VISIBLE_DEVICES after program start. Setting the available devices to be zero. (Triggered internally at ../c10/cuda/CUDAFunctions.cpp:108.)\n", + " return torch._C._cuda_getDeviceCount() > 0\n", + "/home/felipe/Documents/Github/Pt-Brdo/env/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n" + ] + } + ], + "source": [ + "from babel_bardo import OllamaChat, TranscriptIter\n", + "from itertools import islice" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "SEED = 2147483647\n", + "ollamaChat = OllamaChat(SEED)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "VIDEO_ID = 'Pf4HzTdA2WE'\n", + "START_TIME = 15529\n", + "END_TIME = 15829\n", + "t_iter = TranscriptIter(VIDEO_ID, start_time=START_TIME, end_time=END_TIME)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "''" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "common_setup = \"You are going to receive a series of Role-playing Game (RPG) video transcript excerpts from players dialogs playing a campaing called O Segredo na Ilha. \"\n", + "\n", + "task_setup = \"\"\"\n", + "Task Overview:\n", + "Your task is to determine whether each excerpt is from the same campaign chapter as the previous one, and based on this determination, either continue without action or generate a music description in english.\n", + "\n", + "Initial Setup:\n", + "If no previous transcript has been provided, consider that the current excerpt is the beginning of a new chapter.\n", + "\n", + "For Each Dialog Transcript Excerpt:\n", + " Step 1: \n", + " Evaluate if the current excerpt belongs to the same campaign chapter as the previous one. This involves determining if the context or content of the excerpt suggests continuity from the previous one.\n", + "\n", + " Step 2:\n", + " If the current excerpt is part of the same chapter as the previous one, return the word \"CONTINUE.\"\n", + " If the current excerpt is not part of the same chapter, generate a music description in english fitting for that scene. The description should be concise and focus on the mood, instruments, and purpose of the music. For example: \"A grand orchestral arrangement with thunderous percussion, epic brass fanfares, and soaring strings, creating a cinematic atmosphere fit for a heroic battle.\"\n", + "\n", + "Output Formatting:\n", + "If the condition in Step 2 returns \"CONTINUE,\" output only the word \"CONTINUE.\"\n", + "If the condition in Step 2 requires a music description, output only the music description text.\n", + "Do not explain what you are doing, just do what you were told to. \n", + "\"\"\"\n", + "\n", + "prompt_setup = common_setup + task_setup\n", + "\n", + "res = ollamaChat.send(prompt_setup, setup=True)\n", + "res" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Using cached transcript located at /home/felipe/Documents/Github/Pt-Brdo/src/pt_brdo/cache/transcripts/Pf4HzTdA2WE.json\n", + "Frases: quadro grande no fim do corredor e quando você era para ele sozinha mesmo de longe você começa a sentir um pouco estranha né se você senti como se ele tivesse quase te chamando bom e você segue em direção a ele E você tá parada na frente dele vai parede você ta observando\n", + "Ollama: A soft, eerie melody played by a solo violin, accompanied by the faint whisper of a flute, creating an atmosphere of foreboding curiosity, as if the music itself is beckoning you closer to the mysterious painting.\n", + "\n", + "Frases: essa aventura o que você sente e com Salt observasse de volta se você sente os pelos o seu braço arrepiarem e quando você se dá conta os seus dedos estão tremendo e essa noiva e essa mulher alma dela brisa no quadro que olhando de volta se você sente algo pingando no seu braço que são Lágrimas\n", + "Ollama: A haunting, ethereal soundscape of whispering voices and mournful cello notes, evoking a sense of sorrow and longing, as the music seems to weep alongside you, echoing the tears that fall from your eyes.\n", + "\n", + "Frases: são suas lágrimas ela está chorando e sem parar a aventura e começa a se mover e o movimento do líquido derretendo sutilmente e hipnótico e ela te entendi o hábito a conversa com você\n", + "Ollama: A mesmerizing, ambient soundscape of gentle water flows and soft, wordless vocalizations, creating a sense of hypnotic connection with the mysterious woman in the painting, as if the music is dissolving the boundaries between reality and art.\n", + "\n", + "Frases: ela te chamou para cá o que você veio até aqui você viu toda a sua vida para finalmente entender isso essa pintura e não tem mais volta se você não consegue mais olhar para nenhuma outra coisa o e através do Véu e ela também não consegue olhar para nada e além de você\n", + "Ollama: A lush, sweeping orchestral arrangement with soaring strings and poignant woodwind solos, evoking a sense of profound connection and mutual understanding, as if the music is bridging the gap between two souls, suspended in a world beyond time and space.\n", + "\n", + "Frases: é a verdadeira arte é só um reflexo dos Sentimentos de quem a contempla E como você se sente agora ele se você pudesse definir o principal sentimento que tá dormindo a sua mente agora o seu coração e uma palavra E qual seria ela vazio o vazio\n", + "Ollama: CONTINUE.\n", + "\n", + "Frases: se você sente você tá dentro do vazio você é vazia todo o os seus arredores é vazio e você sente ela e atrás de você você olha para a praça e ela tá de frente para você uma figura encapuzada derretida olhando no fundo da sua alma\n", + "Ollama: A haunting, atmospheric soundscape of eerie silence and faint, mournful whispers, punctuated by the soft rustling of fabric, creating an sense of oppressive emptiness and foreboding presence, as if the music is echoing the void within your soul.\n", + "\n" + ] + }, + { + "ename": "KeyboardInterrupt", + "evalue": "", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[5], line 3\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m description \u001b[38;5;129;01min\u001b[39;00m islice(t_iter, \u001b[38;5;241m10\u001b[39m):\n\u001b[1;32m 2\u001b[0m frases, _ \u001b[38;5;241m=\u001b[39m description\n\u001b[0;32m----> 3\u001b[0m res \u001b[38;5;241m=\u001b[39m \u001b[43mollamaChat\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msend\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfrases\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 5\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mFrases:\u001b[39m\u001b[38;5;124m\"\u001b[39m, frases)\n\u001b[1;32m 6\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mOllama:\u001b[39m\u001b[38;5;124m\"\u001b[39m, res)\n", + "File \u001b[0;32m~/Documents/Github/Pt-Brdo/src/pt_brdo/ollama_api.py:55\u001b[0m, in \u001b[0;36mOllamaChat.send\u001b[0;34m(self, prompt, setup)\u001b[0m\n\u001b[1;32m 53\u001b[0m \u001b[38;5;28;01mwhile\u001b[39;00m fail \u001b[38;5;241m==\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m \u001b[38;5;129;01mand\u001b[39;00m count \u001b[38;5;241m<\u001b[39m \u001b[38;5;241m5\u001b[39m:\n\u001b[1;32m 54\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m---> 55\u001b[0m res \u001b[38;5;241m=\u001b[39m \u001b[43mrequests\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpost\u001b[49m\u001b[43m(\u001b[49m\u001b[43murl\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mjson\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mpayload\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mheaders\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mheaders\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 56\u001b[0m fail \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m\n\u001b[1;32m 57\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n", + "File \u001b[0;32m~/Documents/Github/Pt-Brdo/env/lib/python3.10/site-packages/requests/api.py:115\u001b[0m, in \u001b[0;36mpost\u001b[0;34m(url, data, json, **kwargs)\u001b[0m\n\u001b[1;32m 103\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mpost\u001b[39m(url, data\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, json\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[1;32m 104\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124mr\u001b[39m\u001b[38;5;124;03m\"\"\"Sends a POST request.\u001b[39;00m\n\u001b[1;32m 105\u001b[0m \n\u001b[1;32m 106\u001b[0m \u001b[38;5;124;03m :param url: URL for the new :class:`Request` object.\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 112\u001b[0m \u001b[38;5;124;03m :rtype: requests.Response\u001b[39;00m\n\u001b[1;32m 113\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[0;32m--> 115\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mrequest\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mpost\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43murl\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdata\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdata\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mjson\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mjson\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/Documents/Github/Pt-Brdo/env/lib/python3.10/site-packages/requests/api.py:59\u001b[0m, in \u001b[0;36mrequest\u001b[0;34m(method, url, **kwargs)\u001b[0m\n\u001b[1;32m 55\u001b[0m \u001b[38;5;66;03m# By using the 'with' statement we are sure the session is closed, thus we\u001b[39;00m\n\u001b[1;32m 56\u001b[0m \u001b[38;5;66;03m# avoid leaving sockets open which can trigger a ResourceWarning in some\u001b[39;00m\n\u001b[1;32m 57\u001b[0m \u001b[38;5;66;03m# cases, and look like a memory leak in others.\u001b[39;00m\n\u001b[1;32m 58\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m sessions\u001b[38;5;241m.\u001b[39mSession() \u001b[38;5;28;01mas\u001b[39;00m session:\n\u001b[0;32m---> 59\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43msession\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrequest\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmethod\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmethod\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43murl\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43murl\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/Documents/Github/Pt-Brdo/env/lib/python3.10/site-packages/requests/sessions.py:589\u001b[0m, in \u001b[0;36mSession.request\u001b[0;34m(self, method, url, params, data, headers, cookies, files, auth, timeout, allow_redirects, proxies, hooks, stream, verify, cert, json)\u001b[0m\n\u001b[1;32m 584\u001b[0m send_kwargs \u001b[38;5;241m=\u001b[39m {\n\u001b[1;32m 585\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtimeout\u001b[39m\u001b[38;5;124m\"\u001b[39m: timeout,\n\u001b[1;32m 586\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mallow_redirects\u001b[39m\u001b[38;5;124m\"\u001b[39m: allow_redirects,\n\u001b[1;32m 587\u001b[0m }\n\u001b[1;32m 588\u001b[0m send_kwargs\u001b[38;5;241m.\u001b[39mupdate(settings)\n\u001b[0;32m--> 589\u001b[0m resp \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msend\u001b[49m\u001b[43m(\u001b[49m\u001b[43mprep\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43msend_kwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 591\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m resp\n", + "File \u001b[0;32m~/Documents/Github/Pt-Brdo/env/lib/python3.10/site-packages/requests/sessions.py:703\u001b[0m, in \u001b[0;36mSession.send\u001b[0;34m(self, request, **kwargs)\u001b[0m\n\u001b[1;32m 700\u001b[0m start \u001b[38;5;241m=\u001b[39m preferred_clock()\n\u001b[1;32m 702\u001b[0m \u001b[38;5;66;03m# Send the request\u001b[39;00m\n\u001b[0;32m--> 703\u001b[0m r \u001b[38;5;241m=\u001b[39m \u001b[43madapter\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msend\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrequest\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 705\u001b[0m \u001b[38;5;66;03m# Total elapsed time of the request (approximately)\u001b[39;00m\n\u001b[1;32m 706\u001b[0m elapsed \u001b[38;5;241m=\u001b[39m preferred_clock() \u001b[38;5;241m-\u001b[39m start\n", + "File \u001b[0;32m~/Documents/Github/Pt-Brdo/env/lib/python3.10/site-packages/requests/adapters.py:667\u001b[0m, in \u001b[0;36mHTTPAdapter.send\u001b[0;34m(self, request, stream, timeout, verify, cert, proxies)\u001b[0m\n\u001b[1;32m 664\u001b[0m timeout \u001b[38;5;241m=\u001b[39m TimeoutSauce(connect\u001b[38;5;241m=\u001b[39mtimeout, read\u001b[38;5;241m=\u001b[39mtimeout)\n\u001b[1;32m 666\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 667\u001b[0m resp \u001b[38;5;241m=\u001b[39m \u001b[43mconn\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43murlopen\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 668\u001b[0m \u001b[43m \u001b[49m\u001b[43mmethod\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrequest\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmethod\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 669\u001b[0m \u001b[43m \u001b[49m\u001b[43murl\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43murl\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 670\u001b[0m \u001b[43m \u001b[49m\u001b[43mbody\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrequest\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mbody\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 671\u001b[0m \u001b[43m \u001b[49m\u001b[43mheaders\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrequest\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mheaders\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 672\u001b[0m \u001b[43m \u001b[49m\u001b[43mredirect\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m 673\u001b[0m \u001b[43m \u001b[49m\u001b[43massert_same_host\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m 674\u001b[0m \u001b[43m \u001b[49m\u001b[43mpreload_content\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m 675\u001b[0m \u001b[43m \u001b[49m\u001b[43mdecode_content\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m 676\u001b[0m \u001b[43m \u001b[49m\u001b[43mretries\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmax_retries\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 677\u001b[0m \u001b[43m \u001b[49m\u001b[43mtimeout\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtimeout\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 678\u001b[0m \u001b[43m \u001b[49m\u001b[43mchunked\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mchunked\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 679\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 681\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m (ProtocolError, \u001b[38;5;167;01mOSError\u001b[39;00m) \u001b[38;5;28;01mas\u001b[39;00m err:\n\u001b[1;32m 682\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mConnectionError\u001b[39;00m(err, request\u001b[38;5;241m=\u001b[39mrequest)\n", + "File \u001b[0;32m~/Documents/Github/Pt-Brdo/env/lib/python3.10/site-packages/urllib3/connectionpool.py:789\u001b[0m, in \u001b[0;36mHTTPConnectionPool.urlopen\u001b[0;34m(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, preload_content, decode_content, **response_kw)\u001b[0m\n\u001b[1;32m 786\u001b[0m response_conn \u001b[38;5;241m=\u001b[39m conn \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m release_conn \u001b[38;5;28;01melse\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m 788\u001b[0m \u001b[38;5;66;03m# Make the request on the HTTPConnection object\u001b[39;00m\n\u001b[0;32m--> 789\u001b[0m response \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_make_request\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 790\u001b[0m \u001b[43m \u001b[49m\u001b[43mconn\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 791\u001b[0m \u001b[43m \u001b[49m\u001b[43mmethod\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 792\u001b[0m \u001b[43m \u001b[49m\u001b[43murl\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 793\u001b[0m \u001b[43m \u001b[49m\u001b[43mtimeout\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtimeout_obj\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 794\u001b[0m \u001b[43m \u001b[49m\u001b[43mbody\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mbody\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 795\u001b[0m \u001b[43m \u001b[49m\u001b[43mheaders\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mheaders\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 796\u001b[0m \u001b[43m \u001b[49m\u001b[43mchunked\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mchunked\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 797\u001b[0m \u001b[43m \u001b[49m\u001b[43mretries\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mretries\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 798\u001b[0m \u001b[43m \u001b[49m\u001b[43mresponse_conn\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mresponse_conn\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 799\u001b[0m \u001b[43m \u001b[49m\u001b[43mpreload_content\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mpreload_content\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 800\u001b[0m \u001b[43m \u001b[49m\u001b[43mdecode_content\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdecode_content\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 801\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mresponse_kw\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 802\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 804\u001b[0m \u001b[38;5;66;03m# Everything went great!\u001b[39;00m\n\u001b[1;32m 805\u001b[0m clean_exit \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n", + "File \u001b[0;32m~/Documents/Github/Pt-Brdo/env/lib/python3.10/site-packages/urllib3/connectionpool.py:536\u001b[0m, in \u001b[0;36mHTTPConnectionPool._make_request\u001b[0;34m(self, conn, method, url, body, headers, retries, timeout, chunked, response_conn, preload_content, decode_content, enforce_content_length)\u001b[0m\n\u001b[1;32m 534\u001b[0m \u001b[38;5;66;03m# Receive the response from the server\u001b[39;00m\n\u001b[1;32m 535\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 536\u001b[0m response \u001b[38;5;241m=\u001b[39m \u001b[43mconn\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgetresponse\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 537\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m (BaseSSLError, \u001b[38;5;167;01mOSError\u001b[39;00m) \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m 538\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_raise_timeout(err\u001b[38;5;241m=\u001b[39me, url\u001b[38;5;241m=\u001b[39murl, timeout_value\u001b[38;5;241m=\u001b[39mread_timeout)\n", + "File \u001b[0;32m~/Documents/Github/Pt-Brdo/env/lib/python3.10/site-packages/urllib3/connection.py:464\u001b[0m, in \u001b[0;36mHTTPConnection.getresponse\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 461\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mresponse\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m HTTPResponse\n\u001b[1;32m 463\u001b[0m \u001b[38;5;66;03m# Get the response from http.client.HTTPConnection\u001b[39;00m\n\u001b[0;32m--> 464\u001b[0m httplib_response \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgetresponse\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 466\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m 467\u001b[0m assert_header_parsing(httplib_response\u001b[38;5;241m.\u001b[39mmsg)\n", + "File \u001b[0;32m/usr/lib/python3.10/http/client.py:1375\u001b[0m, in \u001b[0;36mHTTPConnection.getresponse\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 1373\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m 1374\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m-> 1375\u001b[0m \u001b[43mresponse\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mbegin\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1376\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mConnectionError\u001b[39;00m:\n\u001b[1;32m 1377\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mclose()\n", + "File \u001b[0;32m/usr/lib/python3.10/http/client.py:318\u001b[0m, in \u001b[0;36mHTTPResponse.begin\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 316\u001b[0m \u001b[38;5;66;03m# read until we get a non-100 response\u001b[39;00m\n\u001b[1;32m 317\u001b[0m \u001b[38;5;28;01mwhile\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[0;32m--> 318\u001b[0m version, status, reason \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_read_status\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 319\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m status \u001b[38;5;241m!=\u001b[39m CONTINUE:\n\u001b[1;32m 320\u001b[0m \u001b[38;5;28;01mbreak\u001b[39;00m\n", + "File \u001b[0;32m/usr/lib/python3.10/http/client.py:279\u001b[0m, in \u001b[0;36mHTTPResponse._read_status\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 278\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_read_status\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[0;32m--> 279\u001b[0m line \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mstr\u001b[39m(\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mreadline\u001b[49m\u001b[43m(\u001b[49m\u001b[43m_MAXLINE\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m+\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m)\u001b[49m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124miso-8859-1\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 280\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(line) \u001b[38;5;241m>\u001b[39m _MAXLINE:\n\u001b[1;32m 281\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m LineTooLong(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mstatus line\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", + "File \u001b[0;32m/usr/lib/python3.10/socket.py:705\u001b[0m, in \u001b[0;36mSocketIO.readinto\u001b[0;34m(self, b)\u001b[0m\n\u001b[1;32m 703\u001b[0m \u001b[38;5;28;01mwhile\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[1;32m 704\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 705\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_sock\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrecv_into\u001b[49m\u001b[43m(\u001b[49m\u001b[43mb\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 706\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m timeout:\n\u001b[1;32m 707\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_timeout_occurred \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n", + "\u001b[0;31mKeyboardInterrupt\u001b[0m: " + ] + } + ], + "source": [ + "for description in islice(t_iter, 10):\n", + " frases, _ = description\n", + " res = ollamaChat.send(frases)\n", + "\n", + " print(\"Frases:\", frases)\n", + " print(\"Ollama:\", res)\n", + " print()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "env", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/playground/notebooks/sig_kld.ipynb b/playground/notebooks/sig_kld.ipynb new file mode 100644 index 0000000..cdb339e --- /dev/null +++ b/playground/notebooks/sig_kld.ipynb @@ -0,0 +1,131 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "import torch" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "tensor([-1.6118e+01, -1.6118e+01, -1.6118e+01, -1.1921e-07])\n", + "tensor([-0.1054, -2.3026, -2.3026, -2.3026])\n" + ] + } + ], + "source": [ + "# back_distrib = torch.tensor([0.0034, 0.9966])\n", + "# eval_distrib = torch.tensor([0.0069, 0.9931])\n", + "\n", + "back_distrib = torch.tensor([0.0000001, 0.0000001, 0.0000001, 0.9999999])\n", + "eval_distrib = torch.tensor([0.9, 0.1, 0.1, 0.1])\n", + "\n", + "log_back_distrib = back_distrib.log()\n", + "log_eval_distrib = eval_distrib.log()\n", + "\n", + "print(log_back_distrib)\n", + "print(log_eval_distrib)" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "tensor([-16.0127, -13.8155, -13.8155, 2.3026])" + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "diff = log_back_distrib - log_eval_distrib\n", + "diff" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "tensor([-1.6013e-06, -1.3816e-06, -1.3816e-06, 2.3026e+00])" + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "mult = back_distrib * diff\n", + "mult" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "tensor(2.3026)" + ] + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sum(mult)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "env", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/playground/notebooks/test_get_mel.ipynb b/playground/notebooks/test_get_mel.ipynb new file mode 100644 index 0000000..fa0a6fe --- /dev/null +++ b/playground/notebooks/test_get_mel.ipynb @@ -0,0 +1,453 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[ INFO ] MusicExtractorSVM: no classifier models were configured by default\n" + ] + } + ], + "source": [ + "import os\n", + "\n", + "import pickle\n", + "import numpy as np\n", + "import ffmpeg\n", + "\n", + "import torch\n", + "import torch.nn as nn\n", + "\n", + "from essentia.standard import *\n", + "import essentia" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "def get_dictionary(fn):\n", + " with open(fn, 'rb') as pf:\n", + " dictionary = pickle.load(pf)\n", + " return dictionary" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "fn = '/home/felipe/Documents/Github/Pt-Brdo/playground/notebooks/moodtheme_test_dict.pickle'\n", + "mel_dict = get_dictionary(fn)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "/home/felipe/Desktop/mtg-mood-theme-mel/00/13400.npy\n", + "00/13400.mp3\n", + "torch.Size([96, 9602])\n" + ] + }, + { + "data": { + "text/plain": [ + "tensor([[-69.5358, -48.5393, -56.4544, ..., -90.0000, -90.0000, -90.0000],\n", + " [-64.7463, -49.1767, -52.0730, ..., -90.0000, -90.0000, -90.0000],\n", + " [-61.8604, -57.5374, -57.4104, ..., -90.0000, -90.0000, -90.0000],\n", + " ...,\n", + " [-90.0000, -90.0000, -88.5863, ..., -90.0000, -90.0000, -90.0000],\n", + " [-90.0000, -90.0000, -90.0000, ..., -90.0000, -90.0000, -90.0000],\n", + " [-90.0000, -90.0000, -90.0000, ..., -90.0000, -90.0000, -90.0000]],\n", + " device='cuda:0')" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "index = 0\n", + "\n", + "fn = os.path.join('/home/felipe/Desktop/mtg-mood-theme-mel', mel_dict[index]['path'][:-3]+'npy')\n", + "print(fn)\n", + "\n", + "\n", + "tags = mel_dict[index]['tags']\n", + "tags = tags.astype('float32')\n", + "\n", + "path = mel_dict[index]['path']\n", + "\n", + "audio = np.array(np.load(fn))\n", + "audio = audio.astype('float32')\n", + "audio = torch.tensor(audio).cuda()\n", + "\n", + "print(path)\n", + "print(audio.shape)\n", + "audio" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "def load_audio(filename, sampleRate=12000, segment_duration=None):\n", + " audio = MonoLoader(filename=filename, sampleRate=sampleRate)()\n", + "\n", + " if segment_duration:\n", + " segment_duration = round(segment_duration*sampleRate)\n", + " segment_start = (len(audio) - segment_duration) // 2\n", + " segment_end = segment_start + segment_duration\n", + " else:\n", + " segment_start = 0\n", + " segment_end = len(audio)\n", + "\n", + " if segment_start < 0 or segment_end > len(audio):\n", + " raise ValueError('Segment duration is larger than the input audio duration')\n", + "\n", + " return audio[segment_start:segment_end]\n", + "\n", + "\n", + "def melspectrogram(audio, \n", + " sampleRate=12000, frameSize=512, hopSize=256,\n", + " window='hann', zeroPadding=0, center=True,\n", + " numberBands=96, lowFrequencyBound=0, highFrequencyBound=None,\n", + " weighting='linear', warpingFormula='slaneyMel',\n", + " normalize='unit_tri'):\n", + "\n", + " if highFrequencyBound is None:\n", + " highFrequencyBound = sampleRate/2\n", + " \n", + " windowing = Windowing(type=window, normalized=False, zeroPadding=zeroPadding)\n", + " spectrum = Spectrum()\n", + " melbands = MelBands(numberBands=numberBands,\n", + " sampleRate=sampleRate,\n", + " lowFrequencyBound=lowFrequencyBound, \n", + " highFrequencyBound=highFrequencyBound,\n", + " inputSize=(frameSize+zeroPadding)//2+1,\n", + " weighting=weighting,\n", + " normalize=normalize,\n", + " warpingFormula=warpingFormula,\n", + " type='power')\n", + " amp2db = UnaryOperator(type='lin2db', scale=2)\n", + "\n", + " pool = essentia.Pool()\n", + " for frame in FrameGenerator(audio, \n", + " frameSize=frameSize, hopSize=hopSize,\n", + " startFromZero=not center):\n", + " pool.add('mel', amp2db(melbands(spectrum(windowing(frame)))))\n", + "\n", + " return pool['mel'].T\n", + "\n", + "def get_mel(in_audio_file, is_full_audio):\n", + " \"\"\"\n", + " in_audio_file: input audio file\n", + " out_npy_file: output NPY file to store mel-spectrogram\n", + " is_full_audio: analyze full audio instead of a centered 29.1s segment\n", + " \"\"\"\n", + " if is_full_audio:\n", + " # Analyze full audio duration.\n", + " segment_duration=None\n", + " else:\n", + " # Duration for the Choi's VGG model.\n", + " segment_duration=29.1\n", + "\n", + " audio = load_audio(in_audio_file, segment_duration=segment_duration)\n", + " mel = melspectrogram(audio)\n", + " return mel" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "class CNN(nn.Module):\n", + " def __init__(self, num_class=15):\n", + " super(CNN, self).__init__()\n", + "\n", + " # init bn\n", + " self.bn_init = nn.BatchNorm2d(1)\n", + "\n", + " # layer 1\n", + " self.conv_1 = nn.Conv2d(1, 64, 3, padding=1)\n", + " self.bn_1 = nn.BatchNorm2d(64)\n", + " self.mp_1 = nn.MaxPool2d((2, 4))\n", + "\n", + " # layer 2\n", + " self.conv_2 = nn.Conv2d(64, 128, 3, padding=1)\n", + " self.bn_2 = nn.BatchNorm2d(128)\n", + " self.mp_2 = nn.MaxPool2d((2, 4))\n", + "\n", + " # layer 3\n", + " self.conv_3 = nn.Conv2d(128, 128, 3, padding=1)\n", + " self.bn_3 = nn.BatchNorm2d(128)\n", + " self.mp_3 = nn.MaxPool2d((2, 4))\n", + "\n", + " # layer 4\n", + " self.conv_4 = nn.Conv2d(128, 128, 3, padding=1)\n", + " self.bn_4 = nn.BatchNorm2d(128)\n", + " self.mp_4 = nn.MaxPool2d((3, 5))\n", + "\n", + " # layer 5\n", + " self.conv_5 = nn.Conv2d(128, 64, 3, padding=1)\n", + " self.bn_5 = nn.BatchNorm2d(64)\n", + " self.mp_5 = nn.MaxPool2d((4, 4))\n", + "\n", + " # classifier\n", + " self.dense = nn.Linear(64, num_class)\n", + " self.dropout = nn.Dropout(0.5)\n", + "\n", + " def forward(self, x):\n", + " x = x.unsqueeze(1)\n", + "\n", + " # init bn\n", + " x = self.bn_init(x)\n", + "\n", + " # layer 1\n", + " x = self.mp_1(nn.ELU()(self.bn_1(self.conv_1(x))))\n", + "\n", + " # layer 2\n", + " x = self.mp_2(nn.ELU()(self.bn_2(self.conv_2(x))))\n", + "\n", + " # layer 3\n", + " x = self.mp_3(nn.ELU()(self.bn_3(self.conv_3(x))))\n", + "\n", + " # layer 4\n", + " x = self.mp_4(nn.ELU()(self.bn_4(self.conv_4(x))))\n", + "\n", + " # layer 5\n", + " x = self.mp_5(nn.ELU()(self.bn_5(self.conv_5(x))))\n", + "\n", + " # classifier\n", + " x = x.view(x.size(0), -1)\n", + " x = self.dropout(x)\n", + " logit = nn.Sigmoid()(self.dense(x))\n", + "\n", + " return logit" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'44100'" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ffmpeg.probe('/home/felipe/Desktop/13400.mp3')['streams'][0]['sample_rate']" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "torch.Size([96, 1366])\n" + ] + } + ], + "source": [ + "my_mel = get_mel('/home/felipe/Desktop/13400.mp3', False)\n", + "my_mel = torch.tensor(my_mel).cuda()\n", + "print(my_mel.shape)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "model = CNN(num_class=56)\n", + "\n", + "S = torch.load('/home/felipe/Documents/Github/Pt-Brdo/src/pt_brdo/mtg_jamendo_baseline/models/best_model.pth')\n", + "model.load_state_dict(S)\n", + "\n", + "# inference\n", + "model.eval()\n", + "model = model.cuda()" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "torch.Size([96, 1366]) torch.Size([96, 9602])\n" + ] + } + ], + "source": [ + "print(my_mel.shape, audio.shape)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "tensor([ -68.7867, -66.1242, -64.2244, -60.4956, -64.7527, -45.0095,\n", + " -33.6146, -30.6942, -34.6825, -45.1362, -58.1798, -61.0160,\n", + " -53.6519, -52.8619, -60.4019, -63.8609, -49.7360, -45.2003,\n", + " -48.1572, -53.9476, -59.2078, -65.1857, -71.0518, -67.2471,\n", + " -59.2665, -60.8922, -67.2135, -67.3332, -76.5795, -87.5193,\n", + " -77.2087, -74.1364, -71.9692, -61.4227, -59.3152, -65.9897,\n", + " -80.8679, -95.9277, -86.9317, -86.6582, -90.3115, -87.4826,\n", + " -82.6069, -86.3694, -97.4053, -82.9761, -85.6829, -90.4414,\n", + " -88.1095, -100.4650, -98.0056, -99.5761, -92.6636, -90.8258,\n", + " -95.0165, -99.5775, -99.0912, -95.4591, -101.1901, -102.0378,\n", + " -91.7656, -89.2219, -90.7442, -98.7360, -110.1632, -99.4069,\n", + " -96.4395, -110.8693, -105.2903, -102.0307, -108.4406, -109.5085,\n", + " -96.4408, -101.0703, -106.6503, -105.7251, -115.9824, -101.9469,\n", + " -97.7877, -101.8304, -103.0302, -112.0833, -109.7323, -113.5758,\n", + " -100.6791, -108.1434, -106.2161, -115.6197, -111.8232, -107.7378,\n", + " -103.1406, -103.6600, -112.2472, -114.8488, -113.3029, -114.3072],\n", + " device='cuda:0')" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "my_mel[:, 0]" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "tensor([-69.5358, -64.7463, -61.8604, -59.8808, -58.1119, -58.2752, -58.9025,\n", + " -60.2660, -62.0527, -64.3706, -68.4771, -72.2208, -75.7047, -79.4953,\n", + " -85.4376, -85.6893, -81.9504, -80.0834, -79.7122, -82.1272, -89.4751,\n", + " -90.0000, -90.0000, -90.0000, -90.0000, -88.8482, -86.1220, -84.0110,\n", + " -81.6328, -81.6245, -82.9754, -83.6547, -85.0630, -88.5137, -90.0000,\n", + " -87.7471, -85.0853, -82.7995, -84.5712, -88.1776, -88.0879, -86.8838,\n", + " -89.5533, -90.0000, -84.0632, -81.3411, -83.6548, -87.9001, -90.0000,\n", + " -90.0000, -88.2064, -84.8365, -85.5288, -87.3742, -88.8410, -90.0000,\n", + " -90.0000, -85.1121, -83.0755, -86.6247, -90.0000, -89.6840, -87.7929,\n", + " -84.6036, -86.9026, -90.0000, -90.0000, -87.8175, -83.3707, -84.7766,\n", + " -90.0000, -90.0000, -90.0000, -90.0000, -90.0000, -88.1323, -90.0000,\n", + " -88.8589, -90.0000, -90.0000, -90.0000, -88.7473, -90.0000, -89.0149,\n", + " -90.0000, -90.0000, -90.0000, -90.0000, -90.0000, -90.0000, -88.6646,\n", + " -90.0000, -90.0000, -90.0000, -90.0000, -90.0000], device='cuda:0')" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "audio[:, 0]" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "torch.Size([1, 56])\n" + ] + }, + { + "data": { + "text/plain": [ + "tensor([[0.0048, 0.0232, 0.0116, 0.0129, 0.0027, 0.0041, 0.0053, 0.0162, 0.0073,\n", + " 0.0163, 0.0115, 0.0197, 0.0021, 0.0122, 0.0055, 0.0043, 0.0399, 0.0115,\n", + " 0.1539, 0.0109, 0.0106, 0.0691, 0.0314, 0.0194, 0.1319, 0.0082, 0.1034,\n", + " 0.0013, 0.0033, 0.0023, 0.0136, 0.0295, 0.0034, 0.0080, 0.1580, 0.0050,\n", + " 0.0112, 0.0023, 0.0160, 0.0090, 0.0024, 0.0174, 0.0212, 0.0095, 0.0074,\n", + " 0.0071, 0.0156, 0.0020, 0.0046, 0.0143, 0.0073, 0.0054, 0.0013, 0.0084,\n", + " 0.0272, 0.0206]], device='cuda:0', grad_fn=)" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "logits = model(my_mel.unsqueeze(0))\n", + "print(logits.shape)\n", + "logits" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "env", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/playground/notebooks/test_mtg_baseline_best_model.ipynb b/playground/notebooks/test_mtg_baseline_best_model.ipynb new file mode 100644 index 0000000..c2ea6fb --- /dev/null +++ b/playground/notebooks/test_mtg_baseline_best_model.ipynb @@ -0,0 +1,474 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[ INFO ] MusicExtractorSVM: no classifier models were configured by default\n" + ] + } + ], + "source": [ + "import os\n", + "import typing as tp\n", + "import math\n", + "\n", + "import pickle\n", + "import numpy as np\n", + "import ffmpeg\n", + "import matplotlib.pyplot as plt\n", + "\n", + "import torch\n", + "import torch.nn as nn\n", + "\n", + "from essentia.standard import *\n", + "import essentia" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "def load_audio(filename, sampleRate=12000, segment_duration=None):\n", + " audio = MonoLoader(filename=filename, sampleRate=sampleRate)()\n", + "\n", + " if segment_duration:\n", + " segment_duration = round(segment_duration*sampleRate)\n", + " segment_start = (len(audio) - segment_duration) // 2\n", + " segment_end = segment_start + segment_duration\n", + " else:\n", + " segment_start = 0\n", + " segment_end = len(audio)\n", + "\n", + " if segment_start < 0 or segment_end > len(audio):\n", + " raise ValueError('Segment duration is larger than the input audio duration')\n", + "\n", + " return audio[segment_start:segment_end]\n", + "\n", + "\n", + "def melspectrogram(audio, \n", + " sampleRate=12000, frameSize=512, hopSize=256,\n", + " window='hann', zeroPadding=0, center=True,\n", + " numberBands=96, lowFrequencyBound=0, highFrequencyBound=None,\n", + " weighting='linear', warpingFormula='slaneyMel',\n", + " normalize='unit_tri'):\n", + "\n", + " if highFrequencyBound is None:\n", + " highFrequencyBound = sampleRate/2\n", + " \n", + " windowing = Windowing(type=window, normalized=False, zeroPadding=zeroPadding)\n", + " spectrum = Spectrum()\n", + " melbands = MelBands(numberBands=numberBands,\n", + " sampleRate=sampleRate,\n", + " lowFrequencyBound=lowFrequencyBound, \n", + " highFrequencyBound=highFrequencyBound,\n", + " inputSize=(frameSize+zeroPadding)//2+1,\n", + " weighting=weighting,\n", + " normalize=normalize,\n", + " warpingFormula=warpingFormula,\n", + " type='power')\n", + " amp2db = UnaryOperator(type='lin2db', scale=2)\n", + "\n", + " pool = essentia.Pool()\n", + " for frame in FrameGenerator(audio, \n", + " frameSize=frameSize, hopSize=hopSize,\n", + " startFromZero=not center):\n", + " pool.add('mel', amp2db(melbands(spectrum(windowing(frame)))))\n", + "\n", + " return pool['mel'].T\n", + "\n", + "def get_mel(in_audio_file, is_full_audio):\n", + " \"\"\"\n", + " in_audio_file: input audio file\n", + " out_npy_file: output NPY file to store mel-spectrogram\n", + " is_full_audio: analyze full audio instead of a centered 29.1s segment\n", + " \"\"\"\n", + " if is_full_audio:\n", + " # Analyze full audio duration.\n", + " segment_duration=None\n", + " else:\n", + " # Duration for the Choi's VGG model.\n", + " segment_duration=29.1\n", + "\n", + " audio = load_audio(in_audio_file, segment_duration=segment_duration)\n", + " mel = melspectrogram(audio)\n", + " return mel" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "class CNN(nn.Module):\n", + " def __init__(self, num_class=15):\n", + " super(CNN, self).__init__()\n", + "\n", + " # init bn\n", + " self.bn_init = nn.BatchNorm2d(1)\n", + "\n", + " # layer 1\n", + " self.conv_1 = nn.Conv2d(1, 64, 3, padding=1)\n", + " self.bn_1 = nn.BatchNorm2d(64)\n", + " self.mp_1 = nn.MaxPool2d((2, 4))\n", + "\n", + " # layer 2\n", + " self.conv_2 = nn.Conv2d(64, 128, 3, padding=1)\n", + " self.bn_2 = nn.BatchNorm2d(128)\n", + " self.mp_2 = nn.MaxPool2d((2, 4))\n", + "\n", + " # layer 3\n", + " self.conv_3 = nn.Conv2d(128, 128, 3, padding=1)\n", + " self.bn_3 = nn.BatchNorm2d(128)\n", + " self.mp_3 = nn.MaxPool2d((2, 4))\n", + "\n", + " # layer 4\n", + " self.conv_4 = nn.Conv2d(128, 128, 3, padding=1)\n", + " self.bn_4 = nn.BatchNorm2d(128)\n", + " self.mp_4 = nn.MaxPool2d((3, 5))\n", + "\n", + " # layer 5\n", + " self.conv_5 = nn.Conv2d(128, 64, 3, padding=1)\n", + " self.bn_5 = nn.BatchNorm2d(64)\n", + " self.mp_5 = nn.MaxPool2d((4, 4))\n", + "\n", + " # classifier\n", + " self.dense = nn.Linear(64, num_class)\n", + " self.dropout = nn.Dropout(0.5)\n", + "\n", + " def forward(self, x):\n", + " x = x.unsqueeze(1)\n", + "\n", + " # init bn\n", + " x = self.bn_init(x)\n", + "\n", + " # layer 1\n", + " x = self.mp_1(nn.ELU()(self.bn_1(self.conv_1(x))))\n", + "\n", + " # layer 2\n", + " x = self.mp_2(nn.ELU()(self.bn_2(self.conv_2(x))))\n", + "\n", + " # layer 3\n", + " x = self.mp_3(nn.ELU()(self.bn_3(self.conv_3(x))))\n", + "\n", + " # layer 4\n", + " x = self.mp_4(nn.ELU()(self.bn_4(self.conv_4(x))))\n", + "\n", + " # layer 5\n", + " x = self.mp_5(nn.ELU()(self.bn_5(self.conv_5(x))))\n", + "\n", + " # classifier\n", + " x = x.view(x.size(0), -1)\n", + " x = self.dropout(x)\n", + " logit = nn.Sigmoid()(self.dense(x))\n", + "\n", + " return logit" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "def mel_iter(audio_path:str, window_size) -> tp.Generator[torch.Tensor, None, None]:\n", + " mel = get_mel(audio_path, True)\n", + " mel = torch.tensor(mel).cuda()\n", + " mel_time_dim = mel.shape[1]\n", + "\n", + " for start in range(0, mel.shape[1], window_size):\n", + " end = start+window_size\n", + " end = end if end <= mel_time_dim else mel_time_dim\n", + "\n", + " yield mel[:, start:end]" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "model = CNN(num_class=56)\n", + "\n", + "S = torch.load('/home/felipe/Documents/Github/Pt-Brdo/src/pt_brdo/mtg_jamendo_baseline/models/best_model.pth')\n", + "model.load_state_dict(S)\n", + "\n", + "# inference\n", + "model.eval()\n", + "model = model.cuda()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def get_tag_list(option):\n", + " if option == 'top50tags':\n", + " tag_list = np.load('tag_list_50.npy')\n", + " else:\n", + " tag_list = np.load('tag_list.npy')\n", + " if option == 'genre':\n", + " tag_list = tag_list[:87]\n", + " elif option == 'instrument':\n", + " tag_list = tag_list[87:127]\n", + " elif option == 'moodtheme':\n", + " tag_list = tag_list[127:]\n", + " return list(tag_list)\n", + "\n", + "tags = get_tag_list('moodtheme')\n", + "\n", + "for idx, tag in enumerate(tags):\n", + " tags[idx] = tag.split('---')[-1]\n", + "\n", + "tags" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "def plot_model_out(model_out:torch.Tensor, song:str):\n", + "\n", + " model_out = (model_out * 100)\n", + " max_value = math.ceil(model_out.max().item())\n", + " model_out = model_out.cpu().detach().numpy()[0]\n", + "\n", + " # set width of bar \n", + " barWidth = 0.8\n", + " fig, ax = plt.subplots(figsize =(12 , 6)) \n", + " print(len(model_out))\n", + " # Set position of bar on X axis \n", + " br_orig = np.arange(len(model_out))\n", + "\n", + " # Add x, y gridlines\n", + " plt.grid(color ='grey',\n", + " linestyle ='-.', linewidth = 0.5,\n", + " alpha = 0.4)\n", + "\n", + " # Make the plot\n", + " plt.bar(br_orig, model_out, color ='r', width = barWidth, edgecolor ='grey') \n", + "\n", + " # Adding Xticks \n", + " plt.xlabel('Tags', fontweight ='bold', fontsize = 15) \n", + " plt.ylabel('Percentage', fontweight ='bold', fontsize = 15)\n", + " plt.xticks([r + barWidth//2 for r in range(len(tags))], tags, rotation='vertical')\n", + " plt.yticks([x for x in range(max_value)])\n", + " plt.title(song)\n", + "\n", + " plt.legend()\n", + " plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Moonlight Sonata" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "moonlight_path = '/home/felipe/Desktop/moonlight_sonata.mp3'" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Central 29.1s window" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "moonlight_segment = get_mel(moonlight_path, False)\n", + "moonlight_segment = torch.tensor(moonlight_segment).cuda().unsqueeze(0)\n", + "print(moonlight_segment.shape)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "model_out = model(moonlight_segment)\n", + "model_out" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "plot_model_out(model_out, 'Moonlight Sonata - Cetered 29.1s Segment')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Prision Song" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "prision_path = '/home/felipe/Desktop/prison_song.mp3'" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Central 29.1s window" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "prision_segment = get_mel(prision_path, False)\n", + "prision_segment = torch.tensor(prision_segment).cuda().unsqueeze(0)\n", + "print(prision_segment.shape)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "model_out = model(prision_segment)\n", + "model_out" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "plot_model_out(model_out, 'Prision Song - Cetered 29.1s Segment')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# 93 milion miles" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "milion_path = '/home/felipe/Desktop/93_million_miles.mp3'" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Central 29.1s window" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "milion_segment = get_mel(milion_path, False)\n", + "milion_segment = torch.tensor(milion_segment).cuda().unsqueeze(0)\n", + "print(milion_segment.shape)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "model_out = model(milion_segment)\n", + "model_out" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "plot_model_out(model_out, '93 Milion Miles - Cetered 29.1s Segment')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Full audio" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# moonlight_iter = mel_iter(moonlight_path)\n", + "# my_mel = torch.tensor(my_mel).cuda()\n", + "# print(my_mel.shape)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "env", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/playground/notebooks/test_passt_1_epoch_model.ipynb b/playground/notebooks/test_passt_1_epoch_model.ipynb new file mode 100644 index 0000000..23019bf --- /dev/null +++ b/playground/notebooks/test_passt_1_epoch_model.ipynb @@ -0,0 +1,1644 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "import typing as tp\n", + "import math\n", + "\n", + "import pickle\n", + "import numpy as np\n", + "import ffmpeg\n", + "import matplotlib.pyplot as plt\n", + "\n", + "import torch\n", + "import torch.nn as nn\n", + "import torchaudio\n", + "\n", + "from hear21passt.base import get_basic_model, get_model_passt" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "class PaSSTMTG(nn.Module):\n", + " def __init__(self, n_classes=183):\n", + " super(PaSSTMTG, self).__init__()\n", + "\n", + " self.passt = get_basic_model(mode=\"logits\")\n", + " self.passt.net = get_model_passt(arch=\"passt_s_swa_p16_128_ap476\", n_classes=n_classes)\n", + "\n", + " def forward(self, x):\n", + " passt_logit = self.passt(x)\n", + " logit = nn.Sigmoid()(passt_logit)\n", + "\n", + " return logit\n", + "\n", + "def get_passt():\n", + " passt = PaSSTMTG()\n", + " state_dict = torch.load('/home/felipe/Documents/Github/Pt-Brdo/src/pt_brdo/passt/passt_epoch_1_acc_0.975.pth')\n", + " passt.load_state_dict(state_dict)\n", + " return passt" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Warning: FMAX is None setting to 15000 \n", + "\n", + "\n", + " Loading PASST TRAINED ON AUDISET \n", + "\n", + "\n", + "PaSST(\n", + " (patch_embed): PatchEmbed(\n", + " (proj): Conv2d(1, 768, kernel_size=(16, 16), stride=(10, 10))\n", + " (norm): Identity()\n", + " )\n", + " (pos_drop): Dropout(p=0.0, inplace=False)\n", + " (blocks): Sequential(\n", + " (0): Block(\n", + " (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n", + " (attn): Attention(\n", + " (qkv): Linear(in_features=768, out_features=2304, bias=True)\n", + " (attn_drop): Dropout(p=0.0, inplace=False)\n", + " (proj): Linear(in_features=768, out_features=768, bias=True)\n", + " 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bias=True)\n", + " (proj_drop): Dropout(p=0.0, inplace=False)\n", + " )\n", + " (drop_path): Identity()\n", + " (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n", + " (mlp): Mlp(\n", + " (fc1): Linear(in_features=768, out_features=3072, bias=True)\n", + " (act): GELU(approximate='none')\n", + " (fc2): Linear(in_features=3072, out_features=768, bias=True)\n", + " (drop): Dropout(p=0.0, inplace=False)\n", + " )\n", + " )\n", + " (7): Block(\n", + " (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n", + " (attn): Attention(\n", + " (qkv): Linear(in_features=768, out_features=2304, bias=True)\n", + " (attn_drop): Dropout(p=0.0, inplace=False)\n", + " (proj): Linear(in_features=768, out_features=768, bias=True)\n", + " (proj_drop): Dropout(p=0.0, inplace=False)\n", + " )\n", + " (drop_path): Identity()\n", + " (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n", + " (mlp): Mlp(\n", + " (fc1): Linear(in_features=768, out_features=3072, bias=True)\n", + " (act): GELU(approximate='none')\n", + " (fc2): Linear(in_features=3072, out_features=768, bias=True)\n", + " (drop): Dropout(p=0.0, inplace=False)\n", + " )\n", + " )\n", + " (8): Block(\n", + " (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n", + " (attn): Attention(\n", + " (qkv): Linear(in_features=768, out_features=2304, bias=True)\n", + " (attn_drop): Dropout(p=0.0, inplace=False)\n", + " (proj): Linear(in_features=768, out_features=768, bias=True)\n", + " (proj_drop): Dropout(p=0.0, inplace=False)\n", + " )\n", + " (drop_path): Identity()\n", + " (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n", + " (mlp): Mlp(\n", + " (fc1): Linear(in_features=768, out_features=3072, bias=True)\n", + " (act): GELU(approximate='none')\n", + " (fc2): Linear(in_features=3072, out_features=768, bias=True)\n", + " (drop): Dropout(p=0.0, inplace=False)\n", + " )\n", + " )\n", + " (9): Block(\n", + " (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n", + " (attn): Attention(\n", + " (qkv): Linear(in_features=768, out_features=2304, bias=True)\n", + " (attn_drop): Dropout(p=0.0, inplace=False)\n", + " (proj): Linear(in_features=768, out_features=768, bias=True)\n", + " (proj_drop): Dropout(p=0.0, inplace=False)\n", + " )\n", + " (drop_path): Identity()\n", + " (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n", + " (mlp): Mlp(\n", + " (fc1): Linear(in_features=768, out_features=3072, bias=True)\n", + " (act): GELU(approximate='none')\n", + " (fc2): Linear(in_features=3072, out_features=768, bias=True)\n", + " (drop): Dropout(p=0.0, inplace=False)\n", + " )\n", + " )\n", + " (10): Block(\n", + " (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n", + " (attn): Attention(\n", + " (qkv): Linear(in_features=768, out_features=2304, bias=True)\n", + " (attn_drop): Dropout(p=0.0, inplace=False)\n", + " (proj): Linear(in_features=768, out_features=768, bias=True)\n", + " (proj_drop): Dropout(p=0.0, inplace=False)\n", + " )\n", + " (drop_path): Identity()\n", + " (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n", + " (mlp): Mlp(\n", + " (fc1): Linear(in_features=768, out_features=3072, bias=True)\n", + " (act): GELU(approximate='none')\n", + " (fc2): Linear(in_features=3072, out_features=768, bias=True)\n", + " (drop): Dropout(p=0.0, inplace=False)\n", + " )\n", + " )\n", + " (11): Block(\n", + " (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n", + " (attn): Attention(\n", + " (qkv): Linear(in_features=768, out_features=2304, bias=True)\n", + " (attn_drop): Dropout(p=0.0, inplace=False)\n", + " (proj): Linear(in_features=768, out_features=768, bias=True)\n", + " (proj_drop): Dropout(p=0.0, inplace=False)\n", + " )\n", + " (drop_path): Identity()\n", + " (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n", + " (mlp): Mlp(\n", + " (fc1): Linear(in_features=768, out_features=3072, bias=True)\n", + " (act): GELU(approximate='none')\n", + " (fc2): Linear(in_features=3072, out_features=768, bias=True)\n", + " (drop): Dropout(p=0.0, inplace=False)\n", + " )\n", + " )\n", + " )\n", + " (norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n", + " (pre_logits): Identity()\n", + " (head): Sequential(\n", + " (0): LayerNorm((768,), eps=1e-05, elementwise_affine=True)\n", + " (1): Linear(in_features=768, out_features=183, bias=True)\n", + " )\n", + " (head_dist): Linear(in_features=768, out_features=183, bias=True)\n", + ")\n" + ] + } + ], + "source": [ + "model = PaSSTMTG()\n", + "\n", + "S = torch.load('/home/felipe/Documents/Github/Pt-Brdo/src/pt_brdo/passt/passt_epoch_1_acc_0.975.pth')\n", + "model.load_state_dict(S)\n", + "\n", + "# inference\n", + "model.eval()\n", + "model = model.cuda()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['60s',\n", + " '70s',\n", + " '80s',\n", + " '90s',\n", + " 'acidjazz',\n", + " 'alternative',\n", + " 'alternativerock',\n", + " 'ambient',\n", + " 'atmospheric',\n", + " 'blues',\n", + " 'bluesrock',\n", + " 'bossanova',\n", + " 'breakbeat',\n", + " 'celtic',\n", + " 'chanson',\n", + " 'chillout',\n", + " 'choir',\n", + " 'classical',\n", + " 'classicrock',\n", + " 'club',\n", + " 'contemporary',\n", + " 'country',\n", + " 'dance',\n", + " 'darkambient',\n", + " 'darkwave',\n", + " 'deephouse',\n", + " 'disco',\n", + " 'downtempo',\n", + " 'drumnbass',\n", + " 'dub',\n", + " 'dubstep',\n", + " 'easylistening',\n", + " 'edm',\n", + " 'electronic',\n", + " 'electronica',\n", + " 'electropop',\n", + " 'ethno',\n", + " 'eurodance',\n", + " 'experimental',\n", + " 'folk',\n", + " 'funk',\n", + " 'fusion',\n", + " 'groove',\n", + " 'grunge',\n", + " 'hard',\n", + " 'hardrock',\n", + " 'hiphop',\n", + " 'house',\n", + " 'idm',\n", + " 'improvisation',\n", + " 'indie',\n", + " 'industrial',\n", + " 'instrumentalpop',\n", + " 'instrumentalrock',\n", + " 'jazz',\n", + " 'jazzfusion',\n", + " 'latin',\n", + " 'lounge',\n", + " 'medieval',\n", + " 'metal',\n", + " 'minimal',\n", + " 'newage',\n", + " 'newwave',\n", + " 'orchestral',\n", + " 'pop',\n", + " 'popfolk',\n", + " 'poprock',\n", + " 'postrock',\n", + " 'progressive',\n", + " 'psychedelic',\n", + " 'punkrock',\n", + " 'rap',\n", + " 'reggae',\n", + " 'rnb',\n", + " 'rock',\n", + " 'rocknroll',\n", + " 'singersongwriter',\n", + " 'soul',\n", + " 'soundtrack',\n", + " 'swing',\n", + " 'symphonic',\n", + " 'synthpop',\n", + " 'techno',\n", + " 'trance',\n", + " 'triphop',\n", + " 'world',\n", + " 'worldfusion',\n", + " 'accordion',\n", + " 'acousticbassguitar',\n", + " 'acousticguitar',\n", + " 'bass',\n", + " 'beat',\n", + " 'bell',\n", + " 'bongo',\n", + " 'brass',\n", + " 'cello',\n", + " 'clarinet',\n", + " 'classicalguitar',\n", + " 'computer',\n", + " 'doublebass',\n", + " 'drummachine',\n", + " 'drums',\n", + " 'electricguitar',\n", + " 'electricpiano',\n", + " 'flute',\n", + " 'guitar',\n", + " 'harmonica',\n", + " 'harp',\n", + " 'horn',\n", + " 'keyboard',\n", + " 'oboe',\n", + " 'orchestra',\n", + " 'organ',\n", + " 'pad',\n", + " 'percussion',\n", + " 'piano',\n", + " 'pipeorgan',\n", + " 'rhodes',\n", + " 'sampler',\n", + " 'saxophone',\n", + " 'strings',\n", + " 'synthesizer',\n", + " 'trombone',\n", + " 'trumpet',\n", + " 'viola',\n", + " 'violin',\n", + " 'voice',\n", + " 'action',\n", + " 'adventure',\n", + " 'advertising',\n", + " 'background',\n", + " 'ballad',\n", + " 'calm',\n", + " 'children',\n", + " 'christmas',\n", + " 'commercial',\n", + " 'cool',\n", + " 'corporate',\n", + " 'dark',\n", + " 'deep',\n", + " 'documentary',\n", + " 'drama',\n", + " 'dramatic',\n", + " 'dream',\n", + " 'emotional',\n", + " 'energetic',\n", + " 'epic',\n", + " 'fast',\n", + " 'film',\n", + " 'fun',\n", + " 'funny',\n", + " 'game',\n", + " 'groovy',\n", + " 'happy',\n", + " 'heavy',\n", + " 'holiday',\n", + " 'hopeful',\n", + " 'inspiring',\n", + " 'love',\n", + " 'meditative',\n", + " 'melancholic',\n", + " 'melodic',\n", + " 'motivational',\n", + " 'movie',\n", + " 'nature',\n", + " 'party',\n", + " 'positive',\n", + " 'powerful',\n", + " 'relaxing',\n", + " 'retro',\n", + " 'romantic',\n", + " 'sad',\n", + " 'sexy',\n", + " 'slow',\n", + " 'soft',\n", + " 'soundscape',\n", + " 'space',\n", + " 'sport',\n", + " 'summer',\n", + " 'trailer',\n", + " 'travel',\n", + " 'upbeat',\n", + " 'uplifting']" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "def get_tag_list(option):\n", + " if option == 'top50tags':\n", + " tag_list = np.load('tag_list_50.npy')\n", + " else:\n", + " tag_list = np.load('tag_list.npy')\n", + " if option == 'genre':\n", + " tag_list = tag_list[:87]\n", + " elif option == 'instrument':\n", + " tag_list = tag_list[87:127]\n", + " elif option == 'moodtheme':\n", + " tag_list = tag_list[127:]\n", + " return list(tag_list)\n", + "\n", + "tags = get_tag_list('all')\n", + "\n", + "for idx, tag in enumerate(tags):\n", + " tags[idx] = tag.split('---')[-1]\n", + "\n", + "tags" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "def plot_model_out(model_out:torch.Tensor, song:str):\n", + " model_out = (model_out * 100)\n", + " max_value = math.ceil(model_out.max().item())\n", + " model_out = model_out.cpu().detach().numpy()[0]\n", + "\n", + " # set width of bar\n", + " barWidth = 0.4\n", + " fig, ax = plt.subplots(figsize =(24 , 6))\n", + " print(len(model_out))\n", + " # Set position of bar on X axis \n", + " br_orig = np.arange(len(model_out))\n", + "\n", + " # Add x, y gridlines\n", + " plt.grid(color ='grey',\n", + " linestyle ='-.', linewidth = 0.5,\n", + " alpha = 0.4)\n", + "\n", + " # Make the plot\n", + " plt.bar(br_orig, model_out, color ='r', width = barWidth, edgecolor ='grey') \n", + "\n", + " # Adding Xticks \n", + " plt.xlabel('Tags', fontweight ='bold', fontsize = 15) \n", + " plt.ylabel('Percentage', fontweight ='bold', fontsize = 15)\n", + " plt.xticks([r + barWidth//2 for r in range(len(tags))], tags, rotation='vertical')\n", + " plt.yticks([x*4 for x in range(max_value//4 + 2)])\n", + " plt.title(song)\n", + "\n", + " plt.legend()\n", + " plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Moonlight Sonata" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "/home/felipe/Desktop/moonlight/moonlight_sonata_%03d.wav\n" + ] + } + ], + "source": [ + "moonlight_path = '/home/felipe/Desktop/moonlight_sonata.mp3'\n", + "\n", + "moonlight_file = 'moonlight_sonata.mp3'\n", + "out_file = moonlight_file.split('.')[0]+'_%03d.wav'\n", + "out_file = os.path.join('/home/felipe/Desktop/moonlight', out_file)\n", + "print(out_file)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "ffmpeg version N-116327-gb3aeef3bf9 Copyright (c) 2000-2024 the FFmpeg developers\n", + " built with gcc 11 (Ubuntu 11.4.0-1ubuntu1~22.04)\n", + " configuration: --enable-nonfree --enable-cuda-nvcc --enable-libnpp --extra-cflags=-I/usr/local/cuda/include --extra-ldflags=-L/usr/local/cuda/lib64 --disable-static --enable-shared\n", + " libavutil 59. 28.100 / 59. 28.100\n", + " libavcodec 61. 10.100 / 61. 10.100\n", + " libavformat 61. 5.101 / 61. 5.101\n", + " libavdevice 61. 2.100 / 61. 2.100\n", + " libavfilter 10. 2.102 / 10. 2.102\n", + " libswscale 8. 2.100 / 8. 2.100\n", + " libswresample 5. 2.100 / 5. 2.100\n", + "Input #0, mp3, from '/home/felipe/Desktop/moonlight_sonata.mp3':\n", + " Metadata:\n", + " major_brand : mp42\n", + " minor_version : 0\n", + " compatible_brands: isommp42\n", + " encoder : Lavf58.29.100\n", + " Duration: 00:15:00.02, start: 0.025057, bitrate: 192 kb/s\n", + " Stream #0:0: Audio: mp3 (mp3float), 44100 Hz, stereo, fltp, 192 kb/s\n", + " Metadata:\n", + " encoder : Lavc58.54\n", + "Stream mapping:\n", + " Stream #0:0 -> #0:0 (mp3 (mp3float) -> pcm_s16le (native))\n", + "Press [q] to stop, [?] for help\n", + "[segment @ 0x56152de221c0] Opening '/home/felipe/Desktop/moonlight/moonlight_sonata_000.wav' for writing\n", + "Output #0, segment, to '/home/felipe/Desktop/moonlight/moonlight_sonata_%03d.wav':\n", + " Metadata:\n", + " major_brand : mp42\n", + " minor_version : 0\n", + " compatible_brands: isommp42\n", + " encoder : Lavf61.5.101\n", + " Stream #0:0: Audio: pcm_s16le, 32000 Hz, mono, s16, 512 kb/s\n", + " Metadata:\n", + " encoder : Lavc61.10.100 pcm_s16le\n", + "[segment @ 0x56152de221c0] Opening '/home/felipe/Desktop/moonlight/moonlight_sonata_001.wav' for writing\n", + "[segment @ 0x56152de221c0] Opening '/home/felipe/Desktop/moonlight/moonlight_sonata_002.wav' for writing\n", + "[segment @ 0x56152de221c0] Opening '/home/felipe/Desktop/moonlight/moonlight_sonata_003.wav' for writing\n", + "[segment @ 0x56152de221c0] Opening '/home/felipe/Desktop/moonlight/moonlight_sonata_004.wav' for writing\n", + "[segment @ 0x56152de221c0] Opening '/home/felipe/Desktop/moonlight/moonlight_sonata_005.wav' for writing\n", + "[segment @ 0x56152de221c0] Opening '/home/felipe/Desktop/moonlight/moonlight_sonata_006.wav' for writing\n", + "[segment @ 0x56152de221c0] Opening '/home/felipe/Desktop/moonlight/moonlight_sonata_007.wav' for writing\n", + "[segment @ 0x56152de221c0] Opening '/home/felipe/Desktop/moonlight/moonlight_sonata_008.wav' for writing\n", + "[segment @ 0x56152de221c0] Opening '/home/felipe/Desktop/moonlight/moonlight_sonata_009.wav' for writing\n", + "[segment @ 0x56152de221c0] Opening '/home/felipe/Desktop/moonlight/moonlight_sonata_010.wav' for writing\n", + "[segment @ 0x56152de221c0] Opening '/home/felipe/Desktop/moonlight/moonlight_sonata_011.wav' for writing\n", + "[segment @ 0x56152de221c0] 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"[segment @ 0x56152de221c0] Opening '/home/felipe/Desktop/moonlight/moonlight_sonata_074.wav' for writing\n", + "[segment @ 0x56152de221c0] Opening '/home/felipe/Desktop/moonlight/moonlight_sonata_075.wav' for writing\n", + "[segment @ 0x56152de221c0] Opening '/home/felipe/Desktop/moonlight/moonlight_sonata_076.wav' for writing\n", + "[segment @ 0x56152de221c0] Opening '/home/felipe/Desktop/moonlight/moonlight_sonata_077.wav' for writing\n", + "[segment @ 0x56152de221c0] Opening '/home/felipe/Desktop/moonlight/moonlight_sonata_078.wav' for writing\n", + "[segment @ 0x56152de221c0] Opening '/home/felipe/Desktop/moonlight/moonlight_sonata_079.wav' for writing\n", + "[segment @ 0x56152de221c0] Opening '/home/felipe/Desktop/moonlight/moonlight_sonata_080.wav' for writing\n", + "[segment @ 0x56152de221c0] Opening '/home/felipe/Desktop/moonlight/moonlight_sonata_081.wav' for writing\n", + "[segment @ 0x56152de221c0] Opening '/home/felipe/Desktop/moonlight/moonlight_sonata_082.wav' for 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+ }, + { + "data": { + "text/plain": [ + "(None, None)" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Convert to mono 32khz wav and split in 10s segments\n", + "stream = ffmpeg.input(moonlight_path)\n", + "stream = ffmpeg.output(stream, out_file, f='segment', segment_time=10, ar=32000, ac=1)\n", + "ffmpeg.run(stream)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Central 29.1s window" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "device(type='cuda', index=0)" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "moonlight_audio = torchaudio.load('/home/felipe/Desktop/moonlight/moonlight_sonata_045.wav')\n", + "moonlight_audio = moonlight_audio[0].squeeze()[:32000 * 10].cuda()\n", + "moonlight_audio.device" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/felipe/Documents/Github/Pt-Brdo/env/lib/python3.10/site-packages/torch/functional.py:650: UserWarning: stft with return_complex=False is deprecated. In a future pytorch release, stft will return complex tensors for all inputs, and return_complex=False will raise an error.\n", + "Note: you can still call torch.view_as_real on the complex output to recover the old return format. (Triggered internally at ../aten/src/ATen/native/SpectralOps.cpp:863.)\n", + " return _VF.stft(input, n_fft, hop_length, win_length, window, # type: ignore[attr-defined]\n", + "/home/felipe/Documents/Github/Pt-Brdo/env/lib/python3.10/site-packages/hear21passt/models/passt.py:304: UserWarning: Input image size (128*1000) doesn't match model (128*998).\n", + " warnings.warn(f\"Input image size ({H}*{W}) doesn't match model ({self.img_size[0]}*{self.img_size[1]}).\")\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "x torch.Size([1, 1, 128, 1000])\n", + "self.norm(x) torch.Size([1, 768, 12, 99])\n", + " patch_embed : torch.Size([1, 768, 12, 99])\n", + " self.time_new_pos_embed.shape torch.Size([1, 768, 1, 99])\n", + " self.freq_new_pos_embed.shape torch.Size([1, 768, 12, 1])\n", + "X flattened torch.Size([1, 1188, 768])\n", + " self.new_pos_embed.shape torch.Size([1, 2, 768])\n", + " self.cls_tokens.shape torch.Size([1, 1, 768])\n", + " self.dist_token.shape torch.Size([1, 1, 768])\n", + " final sequence x torch.Size([1, 1190, 768])\n", + " after 12 atten blocks x torch.Size([1, 1190, 768])\n", + "forward_features torch.Size([1, 768])\n", + "head torch.Size([1, 183])\n" + ] + }, + { + "data": { + "text/plain": [ + "tensor([[5.2283e-05, 9.4762e-05, 1.0478e-04, 1.4799e-03, 6.6386e-05, 1.1210e-02,\n", + " 1.5698e-05, 2.0359e-02, 8.1040e-03, 1.7129e-02, 9.0354e-06, 6.5680e-04,\n", + " 1.5068e-04, 1.7113e-04, 1.1152e-03, 9.7142e-03, 9.7163e-05, 9.0460e-01,\n", + " 6.9582e-05, 4.2097e-04, 3.8501e-03, 1.0943e-03, 1.2064e-03, 1.0449e-03,\n", + " 2.3926e-04, 5.4880e-05, 3.0625e-04, 5.3411e-04, 8.9750e-05, 3.0131e-04,\n", + " 2.3841e-04, 7.7390e-02, 1.7164e-04, 1.1799e-02, 4.3739e-04, 8.3635e-04,\n", + " 1.6251e-04, 2.4958e-04, 2.0501e-02, 9.5136e-03, 5.3072e-04, 1.4216e-03,\n", + " 3.4340e-04, 4.4718e-05, 2.9831e-05, 1.5446e-04, 2.7859e-03, 2.4770e-04,\n", + " 7.8763e-05, 1.4316e-02, 7.3222e-03, 2.5565e-05, 1.1149e-02, 1.2956e-03,\n", + " 1.8692e-01, 6.0046e-04, 1.3686e-03, 2.9770e-03, 1.0460e-04, 4.1551e-04,\n", + " 6.8187e-03, 1.7892e-02, 4.3353e-05, 2.8357e-02, 4.2198e-02, 1.0461e-02,\n", + " 1.8981e-03, 5.7032e-05, 6.7755e-04, 1.0569e-03, 6.3098e-05, 6.8855e-04,\n", + " 2.0319e-03, 1.7389e-03, 3.2657e-03, 6.5664e-05, 1.1977e-03, 7.2974e-03,\n", + " 2.5631e-01, 3.9958e-04, 4.2346e-03, 3.4728e-04, 2.3825e-04, 7.0771e-04,\n", + " 5.3311e-04, 1.0596e-02, 1.2919e-04, 4.9442e-03, 1.1878e-03, 2.8421e-03,\n", + " 4.4726e-03, 8.1268e-04, 1.4273e-03, 2.1621e-04, 1.1089e-03, 1.9539e-02,\n", + " 1.8834e-03, 1.3257e-03, 1.2107e-03, 6.1435e-04, 5.6674e-04, 9.3505e-03,\n", + " 2.6141e-03, 8.0653e-03, 3.9393e-03, 2.4599e-03, 5.3144e-05, 1.8746e-03,\n", + " 5.2398e-04, 2.4595e-03, 3.0813e-03, 3.8751e-03, 1.8341e-04, 5.7679e-05,\n", + " 2.5305e-04, 8.6993e-01, 3.5320e-03, 6.0024e-04, 9.7547e-04, 2.2921e-03,\n", + " 5.6425e-03, 3.3155e-03, 1.1997e-03, 1.6331e-03, 2.9189e-04, 2.0446e-02,\n", + " 5.5046e-04, 1.0143e-03, 1.7917e-02, 2.9214e-03, 2.4823e-02, 3.2641e-03,\n", + " 2.0697e-03, 5.9214e-03, 1.9441e-03, 2.4698e-02, 2.8112e-03, 2.0136e-03,\n", + " 2.3896e-03, 1.5248e-04, 4.6227e-02, 3.7172e-03, 2.5969e-03, 4.9346e-03,\n", + " 5.5250e-02, 5.7834e-03, 1.1540e-03, 1.7491e-03, 9.4384e-03, 6.1072e-04,\n", + " 1.4259e-03, 7.3837e-05, 6.3321e-04, 1.4077e-02, 3.5139e-05, 6.9656e-04,\n", + " 9.7347e-03, 2.1594e-02, 6.6381e-03, 1.2659e-02, 4.6357e-02, 5.2412e-03,\n", + " 2.1844e-03, 1.3919e-03, 5.0695e-03, 5.6181e-04, 3.6535e-03, 1.0209e-03,\n", + " 1.0940e-01, 4.2910e-04, 1.4711e-02, 1.5958e-02, 1.2940e-05, 3.4020e-03,\n", + " 1.3317e-02, 1.5404e-03, 3.9282e-04, 4.4971e-04, 1.8133e-04, 4.8702e-04,\n", + " 1.3976e-04, 3.6341e-04, 4.6148e-03]], device='cuda:0',\n", + " grad_fn=)" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model_out = model(moonlight_audio.unsqueeze(0))\n", + "model_out" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "183\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_336718/2492542175.py:29: UserWarning: No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n", + " plt.legend()\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "

" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plot_model_out(model_out, 'Moonlight Sonata - Passt Cetered 10s Segment')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Prison Song" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "/home/felipe/Desktop/prision/prison_song_%03d.wav\n" + ] + } + ], + "source": [ + "prison_path = '/home/felipe/Desktop/prison_song.mp3'\n", + "\n", + "prison_file = 'prison_song.mp3'\n", + "out_file = prison_file.split('.')[0]+'_%03d.wav'\n", + "out_file = os.path.join('/home/felipe/Desktop/prison', out_file)\n", + "print(out_file)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Central 29.1s window" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "ffmpeg version N-116327-gb3aeef3bf9 Copyright (c) 2000-2024 the FFmpeg developers\n", + " built with gcc 11 (Ubuntu 11.4.0-1ubuntu1~22.04)\n", + " configuration: --enable-nonfree --enable-cuda-nvcc --enable-libnpp --extra-cflags=-I/usr/local/cuda/include --extra-ldflags=-L/usr/local/cuda/lib64 --disable-static --enable-shared\n", + " libavutil 59. 28.100 / 59. 28.100\n", + " libavcodec 61. 10.100 / 61. 10.100\n", + " libavformat 61. 5.101 / 61. 5.101\n", + " libavdevice 61. 2.100 / 61. 2.100\n", + " libavfilter 10. 2.102 / 10. 2.102\n", + " libswscale 8. 2.100 / 8. 2.100\n", + " libswresample 5. 2.100 / 5. 2.100\n", + "Input #0, mp3, from '/home/felipe/Desktop/prison_song.mp3':\n", + " Metadata:\n", + " encoder : Lavf58.29.100\n", + " Duration: 00:03:24.74, start: 0.023021, bitrate: 128 kb/s\n", + " Stream #0:0: Audio: mp3 (mp3float), 48000 Hz, stereo, fltp, 128 kb/s\n", + " Metadata:\n", + " encoder : Lavc58.54\n", + "Stream mapping:\n", + " Stream #0:0 -> #0:0 (mp3 (mp3float) -> pcm_s16le (native))\n", + "Press [q] to stop, [?] for help\n", + "[segment @ 0x55805ce0e2c0] Opening '/home/felipe/Desktop/prision/prison_song_000.wav' for writing\n", + "Output #0, segment, to '/home/felipe/Desktop/prision/prison_song_%03d.wav':\n", + " Metadata:\n", + " encoder : Lavf61.5.101\n", + " Stream #0:0: Audio: pcm_s16le, 32000 Hz, mono, s16, 512 kb/s\n", + " Metadata:\n", + " encoder : Lavc61.10.100 pcm_s16le\n", + "[segment @ 0x55805ce0e2c0] Opening '/home/felipe/Desktop/prision/prison_song_001.wav' for writing\n", + "[segment @ 0x55805ce0e2c0] Opening '/home/felipe/Desktop/prision/prison_song_002.wav' for writing\n", + "[segment @ 0x55805ce0e2c0] Opening '/home/felipe/Desktop/prision/prison_song_003.wav' for writing\n", + "[segment @ 0x55805ce0e2c0] Opening '/home/felipe/Desktop/prision/prison_song_004.wav' for writing\n", + "[segment @ 0x55805ce0e2c0] Opening '/home/felipe/Desktop/prision/prison_song_005.wav' for writing\n", + "[segment @ 0x55805ce0e2c0] Opening '/home/felipe/Desktop/prision/prison_song_006.wav' for writing\n", + "[segment @ 0x55805ce0e2c0] Opening '/home/felipe/Desktop/prision/prison_song_007.wav' for writing\n", + "[segment @ 0x55805ce0e2c0] Opening '/home/felipe/Desktop/prision/prison_song_008.wav' for writing\n", + "[segment @ 0x55805ce0e2c0] Opening '/home/felipe/Desktop/prision/prison_song_009.wav' for writing\n", + "[segment @ 0x55805ce0e2c0] Opening '/home/felipe/Desktop/prision/prison_song_010.wav' for writing\n", + "[segment @ 0x55805ce0e2c0] Opening '/home/felipe/Desktop/prision/prison_song_011.wav' for writing\n", + "[segment @ 0x55805ce0e2c0] Opening '/home/felipe/Desktop/prision/prison_song_012.wav' for writing\n", + "[segment @ 0x55805ce0e2c0] Opening '/home/felipe/Desktop/prision/prison_song_013.wav' for writing\n", + "[segment @ 0x55805ce0e2c0] Opening '/home/felipe/Desktop/prision/prison_song_014.wav' for writing\n", + "[segment @ 0x55805ce0e2c0] Opening '/home/felipe/Desktop/prision/prison_song_015.wav' for writing\n", + "[segment @ 0x55805ce0e2c0] Opening '/home/felipe/Desktop/prision/prison_song_016.wav' for writing\n", + "[segment @ 0x55805ce0e2c0] Opening '/home/felipe/Desktop/prision/prison_song_017.wav' for writing\n", + "[segment @ 0x55805ce0e2c0] Opening '/home/felipe/Desktop/prision/prison_song_018.wav' for writing\n", + "[segment @ 0x55805ce0e2c0] Opening '/home/felipe/Desktop/prision/prison_song_019.wav' for writing\n", + "[segment @ 0x55805ce0e2c0] Opening '/home/felipe/Desktop/prision/prison_song_020.wav' for writing\n", + "[out#0/segment @ 0x55805ce0e0c0] video:0KiB audio:12795KiB subtitle:0KiB other streams:0KiB global headers:0KiB muxing overhead: unknown\n", + "size=N/A time=00:03:24.71 bitrate=N/A speed= 510x \n" + ] + }, + { + "data": { + "text/plain": [ + "(None, None)" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Convert to mono 32khz wav and split in 10s segments\n", + "stream = ffmpeg.input(prison_path)\n", + "stream = ffmpeg.output(stream, out_file, f='segment', segment_time=10, ar=32000, ac=1)\n", + "ffmpeg.run(stream)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "device(type='cuda', index=0)" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "prison_audio = torchaudio.load('/home/felipe/Desktop/prision/prison_song_010.wav')\n", + "prison_audio = prison_audio[0].squeeze()[:32000 * 10].cuda()\n", + "prison_audio.device" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/felipe/Documents/Github/Pt-Brdo/env/lib/python3.10/site-packages/torch/functional.py:650: UserWarning: stft with return_complex=False is deprecated. In a future pytorch release, stft will return complex tensors for all inputs, and return_complex=False will raise an error.\n", + "Note: you can still call torch.view_as_real on the complex output to recover the old return format. (Triggered internally at ../aten/src/ATen/native/SpectralOps.cpp:863.)\n", + " return _VF.stft(input, n_fft, hop_length, win_length, window, # type: ignore[attr-defined]\n", + "/home/felipe/Documents/Github/Pt-Brdo/env/lib/python3.10/site-packages/hear21passt/models/passt.py:304: UserWarning: Input image size (128*1000) doesn't match model (128*998).\n", + " warnings.warn(f\"Input image size ({H}*{W}) doesn't match model ({self.img_size[0]}*{self.img_size[1]}).\")\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "x torch.Size([1, 1, 128, 1000])\n", + "self.norm(x) torch.Size([1, 768, 12, 99])\n", + " patch_embed : torch.Size([1, 768, 12, 99])\n", + " self.time_new_pos_embed.shape torch.Size([1, 768, 1, 99])\n", + " self.freq_new_pos_embed.shape torch.Size([1, 768, 12, 1])\n", + "X flattened torch.Size([1, 1188, 768])\n", + " self.new_pos_embed.shape torch.Size([1, 2, 768])\n", + " self.cls_tokens.shape torch.Size([1, 1, 768])\n", + " self.dist_token.shape torch.Size([1, 1, 768])\n", + " final sequence x torch.Size([1, 1190, 768])\n", + " after 12 atten blocks x torch.Size([1, 1190, 768])\n", + "forward_features torch.Size([1, 768])\n", + "head torch.Size([1, 183])\n" + ] + }, + { + "data": { + "text/plain": [ + "tensor([[1.2621e-06, 3.3079e-06, 4.8010e-05, 3.9177e-03, 1.2617e-05, 1.2896e-01,\n", + " 2.2973e-03, 3.9751e-03, 7.0039e-05, 1.7809e-03, 1.9229e-05, 1.8927e-04,\n", + " 1.2613e-04, 8.2476e-03, 2.2041e-06, 7.5287e-05, 1.5297e-05, 6.8936e-04,\n", + " 2.3680e-04, 5.0662e-05, 5.6833e-06, 6.4368e-05, 1.7532e-04, 1.0202e-05,\n", + " 2.0829e-04, 2.8137e-06, 2.4734e-04, 7.3205e-06, 9.3213e-05, 1.3242e-06,\n", + " 9.1910e-06, 1.1064e-03, 1.3293e-05, 5.4538e-04, 8.7225e-06, 2.6076e-05,\n", + " 1.5126e-04, 3.9116e-06, 1.7926e-03, 5.6024e-04, 5.2149e-02, 4.8225e-02,\n", + " 4.1469e-04, 2.8740e-03, 3.8473e-04, 5.3181e-03, 1.8383e-04, 2.8309e-05,\n", + " 3.3052e-05, 5.7884e-05, 2.0404e-03, 2.2500e-03, 7.0533e-05, 3.7664e-03,\n", + " 7.2907e-02, 1.4637e-04, 3.3628e-05, 1.2477e-04, 2.6925e-05, 3.8950e-01,\n", + " 6.8688e-06, 3.9794e-05, 2.0973e-04, 3.3548e-05, 8.2319e-03, 1.8925e-04,\n", + " 6.9586e-04, 5.3334e-04, 1.0176e-02, 9.9342e-05, 1.5205e-01, 4.2075e-04,\n", + " 6.5411e-04, 3.9540e-04, 1.0662e-01, 8.4883e-04, 2.7665e-05, 1.2238e-05,\n", + " 1.6437e-03, 5.1895e-05, 1.9175e-04, 2.3854e-06, 1.7985e-04, 2.4737e-04,\n", + " 2.8125e-05, 2.0848e-04, 9.0980e-06, 5.6303e-05, 5.5146e-05, 9.7860e-04,\n", + " 5.2507e-01, 1.2996e-04, 4.0896e-05, 1.1216e-03, 7.8830e-05, 4.1110e-05,\n", + " 2.1567e-05, 5.6242e-04, 2.7042e-04, 3.0061e-03, 3.2725e-03, 4.3337e-01,\n", + " 5.1017e-01, 5.4070e-04, 1.2222e-03, 2.7805e-03, 1.6785e-04, 1.9159e-04,\n", + " 9.5367e-06, 2.4796e-03, 2.7916e-05, 4.3135e-05, 1.0722e-05, 5.0902e-06,\n", + " 4.2526e-05, 4.3691e-04, 1.8140e-04, 1.1721e-05, 3.8680e-05, 2.3092e-03,\n", + " 1.7223e-04, 1.0816e-03, 1.1754e-05, 1.3127e-02, 3.0559e-05, 2.4915e-03,\n", + " 1.0809e-01, 4.9886e-04, 8.4631e-05, 1.0837e-05, 3.2746e-05, 2.2644e-05,\n", + " 4.2854e-05, 4.1463e-05, 1.7478e-04, 8.8108e-06, 8.9568e-05, 3.6777e-06,\n", + " 7.3458e-04, 3.6651e-05, 1.0666e-05, 4.3582e-05, 1.0586e-05, 1.3678e-05,\n", + " 1.8746e-05, 1.4761e-02, 3.4965e-03, 2.4186e-03, 3.7191e-05, 4.2673e-04,\n", + " 6.9461e-04, 6.1801e-05, 2.9861e-03, 9.1386e-04, 3.3740e-03, 3.0559e-05,\n", + " 2.4070e-05, 1.3779e-05, 6.3537e-04, 1.5482e-05, 8.6523e-04, 1.2051e-02,\n", + " 6.0932e-06, 6.6379e-05, 1.1880e-05, 2.0852e-04, 1.3963e-04, 1.5267e-03,\n", + " 1.1234e-04, 1.0436e-04, 1.2798e-04, 6.1349e-05, 1.6419e-05, 3.2686e-06,\n", + " 7.9278e-06, 1.5516e-05, 1.1927e-04, 6.4561e-06, 6.4027e-06, 1.3428e-06,\n", + " 1.4114e-05, 1.2246e-04, 6.7780e-04]], device='cuda:0',\n", + " grad_fn=)" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model_out = model(prison_audio.unsqueeze(0))\n", + "model_out" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "183\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_359332/2492542175.py:29: UserWarning: No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n", + " plt.legend()\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plot_model_out(model_out, 'Prison Song - Passt Cetered 10s Segment')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# 93 milion miles" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "/home/felipe/Desktop/milion/93_million_miles_%03d.wav\n" + ] + } + ], + "source": [ + "milion_path = '/home/felipe/Desktop/93_million_miles.mp3'\n", + "\n", + "milion_file = '93_million_miles.mp3'\n", + "out_file = milion_file.split('.')[0]+'_%03d.wav'\n", + "out_file = os.path.join('/home/felipe/Desktop/milion', out_file)\n", + "print(out_file)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Central 29.1s window" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "ffmpeg version N-116327-gb3aeef3bf9 Copyright (c) 2000-2024 the FFmpeg developers\n", + " built with gcc 11 (Ubuntu 11.4.0-1ubuntu1~22.04)\n", + " configuration: --enable-nonfree --enable-cuda-nvcc --enable-libnpp --extra-cflags=-I/usr/local/cuda/include --extra-ldflags=-L/usr/local/cuda/lib64 --disable-static --enable-shared\n", + " libavutil 59. 28.100 / 59. 28.100\n", + " libavcodec 61. 10.100 / 61. 10.100\n", + " libavformat 61. 5.101 / 61. 5.101\n", + " libavdevice 61. 2.100 / 61. 2.100\n", + " libavfilter 10. 2.102 / 10. 2.102\n", + " libswscale 8. 2.100 / 8. 2.100\n", + " libswresample 5. 2.100 / 5. 2.100\n", + "Input #0, mp3, from '/home/felipe/Desktop/93_million_miles.mp3':\n", + " Metadata:\n", + " major_brand : mp42\n", + " minor_version : 0\n", + " compatible_brands: isommp42\n", + " encoder : Lavf58.29.100\n", + " Duration: 00:03:44.05, start: 0.025057, bitrate: 192 kb/s\n", + " Stream #0:0: Audio: mp3 (mp3float), 44100 Hz, stereo, fltp, 192 kb/s\n", + " Metadata:\n", + " encoder : Lavc58.54\n", + "Stream mapping:\n", + " Stream #0:0 -> #0:0 (mp3 (mp3float) -> pcm_s16le (native))\n", + "Press [q] to stop, [?] for help\n", + "[segment @ 0x55c3e15f41c0] Opening '/home/felipe/Desktop/milion/93_million_miles_000.wav' for writing\n", + "Output #0, segment, to '/home/felipe/Desktop/milion/93_million_miles_%03d.wav':\n", + " Metadata:\n", + " major_brand : mp42\n", + " minor_version : 0\n", + " compatible_brands: isommp42\n", + " encoder : Lavf61.5.101\n", + " Stream #0:0: Audio: pcm_s16le, 32000 Hz, mono, s16, 512 kb/s\n", + " Metadata:\n", + " encoder : Lavc61.10.100 pcm_s16le\n", + "[segment @ 0x55c3e15f41c0] Opening '/home/felipe/Desktop/milion/93_million_miles_001.wav' for writing\n", + "[segment @ 0x55c3e15f41c0] Opening '/home/felipe/Desktop/milion/93_million_miles_002.wav' for writing\n", + "[segment @ 0x55c3e15f41c0] Opening '/home/felipe/Desktop/milion/93_million_miles_003.wav' for writing\n", + "[segment @ 0x55c3e15f41c0] Opening '/home/felipe/Desktop/milion/93_million_miles_004.wav' for writing\n", + "[segment @ 0x55c3e15f41c0] Opening '/home/felipe/Desktop/milion/93_million_miles_005.wav' for writing\n", + "[segment @ 0x55c3e15f41c0] Opening '/home/felipe/Desktop/milion/93_million_miles_006.wav' for writing\n", + "[segment @ 0x55c3e15f41c0] Opening '/home/felipe/Desktop/milion/93_million_miles_007.wav' for writing\n", + "[segment @ 0x55c3e15f41c0] Opening '/home/felipe/Desktop/milion/93_million_miles_008.wav' for writing\n", + "[segment @ 0x55c3e15f41c0] Opening '/home/felipe/Desktop/milion/93_million_miles_009.wav' for writing\n", + "[segment @ 0x55c3e15f41c0] Opening '/home/felipe/Desktop/milion/93_million_miles_010.wav' for writing\n", + "[segment @ 0x55c3e15f41c0] Opening '/home/felipe/Desktop/milion/93_million_miles_011.wav' for writing\n", + "[segment @ 0x55c3e15f41c0] Opening '/home/felipe/Desktop/milion/93_million_miles_012.wav' for writing\n", + "[segment @ 0x55c3e15f41c0] Opening '/home/felipe/Desktop/milion/93_million_miles_013.wav' for writing\n", + "[segment @ 0x55c3e15f41c0] Opening '/home/felipe/Desktop/milion/93_million_miles_014.wav' for writing\n", + "[segment @ 0x55c3e15f41c0] Opening '/home/felipe/Desktop/milion/93_million_miles_015.wav' for writing\n", + "[segment @ 0x55c3e15f41c0] Opening '/home/felipe/Desktop/milion/93_million_miles_016.wav' for writing\n", + "[segment @ 0x55c3e15f41c0] Opening '/home/felipe/Desktop/milion/93_million_miles_017.wav' for writing\n", + "[segment @ 0x55c3e15f41c0] Opening '/home/felipe/Desktop/milion/93_million_miles_018.wav' for writing\n", + "[segment @ 0x55c3e15f41c0] Opening '/home/felipe/Desktop/milion/93_million_miles_019.wav' for writing\n", + "[segment @ 0x55c3e15f41c0] Opening '/home/felipe/Desktop/milion/93_million_miles_020.wav' for writing\n", + "[segment @ 0x55c3e15f41c0] Opening '/home/felipe/Desktop/milion/93_million_miles_021.wav' for writing\n", + "[segment @ 0x55c3e15f41c0] Opening '/home/felipe/Desktop/milion/93_million_miles_022.wav' for writing\n", + "[out#0/segment @ 0x55c3e15f4000] video:0KiB audio:14002KiB subtitle:0KiB other streams:0KiB global headers:0KiB muxing overhead: unknown\n", + "size=N/A time=00:03:44.02 bitrate=N/A speed= 480x \n" + ] + }, + { + "data": { + "text/plain": [ + "(None, None)" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Convert to mono 32khz wav and split in 10s segments\n", + "stream = ffmpeg.input(milion_path)\n", + "stream = ffmpeg.output(stream, out_file, f='segment', segment_time=10, ar=32000, ac=1)\n", + "ffmpeg.run(stream)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "device(type='cuda', index=0)" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "milion_audio = torchaudio.load('/home/felipe/Desktop/milion/93_million_miles_010.wav')\n", + "milion_audio = milion_audio[0].squeeze()[:32000 * 10].cuda()\n", + "milion_audio.device" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/felipe/Documents/Github/Pt-Brdo/env/lib/python3.10/site-packages/torch/functional.py:650: UserWarning: stft with return_complex=False is deprecated. In a future pytorch release, stft will return complex tensors for all inputs, and return_complex=False will raise an error.\n", + "Note: you can still call torch.view_as_real on the complex output to recover the old return format. (Triggered internally at ../aten/src/ATen/native/SpectralOps.cpp:863.)\n", + " return _VF.stft(input, n_fft, hop_length, win_length, window, # type: ignore[attr-defined]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "x torch.Size([1, 1, 128, 998])\n", + "self.norm(x) torch.Size([1, 768, 12, 99])\n", + " patch_embed : torch.Size([1, 768, 12, 99])\n", + " self.time_new_pos_embed.shape torch.Size([1, 768, 1, 99])\n", + " self.freq_new_pos_embed.shape torch.Size([1, 768, 12, 1])\n", + "X flattened torch.Size([1, 1188, 768])\n", + " self.new_pos_embed.shape torch.Size([1, 2, 768])\n", + " self.cls_tokens.shape torch.Size([1, 1, 768])\n", + " self.dist_token.shape torch.Size([1, 1, 768])\n", + " final sequence x torch.Size([1, 1190, 768])\n", + " after 12 atten blocks x torch.Size([1, 1190, 768])\n", + "forward_features torch.Size([1, 768])\n", + "head torch.Size([1, 183])\n" + ] + }, + { + "data": { + "text/plain": [ + "tensor([[4.6761e-04, 1.0942e-04, 2.7683e-04, 2.1022e-03, 5.3380e-04, 4.8123e-02,\n", + " 1.1560e-02, 3.0535e-02, 4.8383e-03, 2.6024e-03, 1.5566e-04, 3.5097e-04,\n", + " 5.2814e-04, 1.2617e-03, 1.2441e-04, 5.3767e-03, 1.9570e-05, 4.3241e-03,\n", + " 2.5480e-03, 6.3604e-05, 2.8274e-04, 1.3151e-01, 2.4301e-03, 2.5206e-04,\n", + " 1.5027e-04, 2.0564e-05, 7.6653e-04, 5.5643e-04, 6.8892e-05, 1.2961e-04,\n", + " 1.0639e-04, 2.3540e-02, 2.2688e-04, 2.6467e-02, 1.8087e-04, 2.6268e-02,\n", + " 7.8722e-04, 2.7506e-05, 5.9887e-03, 2.3067e-01, 5.6090e-03, 1.1726e-02,\n", + " 4.4560e-04, 3.5693e-03, 1.0537e-04, 3.9319e-03, 3.0859e-04, 1.2102e-03,\n", + " 8.5924e-06, 6.3218e-04, 6.1935e-02, 1.4986e-03, 1.4416e-03, 2.2507e-03,\n", + " 5.0460e-02, 1.8144e-03, 3.5591e-02, 5.6443e-03, 4.1480e-05, 6.5043e-03,\n", + " 9.0253e-05, 1.6792e-03, 1.3978e-04, 3.5937e-03, 5.7448e-01, 3.3888e-01,\n", + " 1.4538e-01, 5.2145e-04, 1.0561e-02, 3.0554e-03, 1.1503e-03, 1.1242e-04,\n", + " 2.8848e-04, 1.0465e-03, 2.4209e-01, 3.7803e-03, 1.8599e-02, 2.0526e-03,\n", + " 7.5357e-03, 3.6734e-03, 2.2603e-04, 2.2170e-03, 8.3585e-04, 6.6477e-04,\n", + " 9.0651e-04, 2.1916e-02, 1.3423e-04, 6.7738e-03, 4.8003e-03, 9.3906e-02,\n", + " 2.6612e-01, 8.5089e-05, 2.1452e-03, 3.9335e-05, 3.1691e-04, 6.3385e-03,\n", + " 1.1611e-03, 3.7198e-03, 6.8622e-03, 1.9015e-03, 1.5433e-02, 3.0769e-01,\n", + " 1.1148e-01, 9.7358e-03, 2.2593e-03, 1.5525e-01, 9.2443e-04, 1.1247e-03,\n", + " 1.1436e-03, 1.2921e-01, 9.1435e-04, 1.8187e-02, 3.0938e-04, 4.6814e-05,\n", + " 2.5986e-03, 1.7655e-01, 4.5635e-03, 5.4006e-05, 3.4207e-03, 1.2832e-03,\n", + " 2.1406e-03, 1.0880e-01, 3.3810e-05, 7.5585e-04, 5.7130e-02, 6.2967e-02,\n", + " 5.4055e-02, 1.1221e-04, 1.1643e-03, 3.2768e-04, 1.0856e-04, 2.6117e-03,\n", + " 8.7024e-05, 1.1138e-03, 1.3407e-03, 8.2007e-05, 1.3100e-03, 1.9553e-04,\n", + " 7.2756e-04, 1.6204e-03, 4.9750e-05, 1.4370e-04, 6.0321e-04, 6.1084e-04,\n", + " 3.8855e-04, 7.9737e-03, 6.0563e-04, 3.8131e-04, 5.9311e-04, 3.3889e-03,\n", + " 3.4183e-04, 2.6546e-05, 1.2001e-04, 6.2461e-02, 8.6020e-04, 4.1179e-04,\n", + " 4.5803e-03, 1.3040e-03, 2.7127e-02, 1.8612e-04, 8.0289e-03, 3.1880e-02,\n", + " 3.8320e-04, 6.8122e-05, 2.1794e-04, 1.4037e-04, 1.7422e-03, 8.7249e-05,\n", + " 3.5434e-03, 2.4742e-04, 5.5466e-03, 4.5551e-04, 2.4796e-05, 5.6952e-04,\n", + " 1.2370e-04, 1.1533e-03, 7.3570e-05, 5.4025e-05, 7.8742e-04, 1.4085e-05,\n", + " 1.8700e-04, 7.1126e-03, 9.0829e-03]], device='cuda:0',\n", + " grad_fn=)" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model_out = model(milion_audio.unsqueeze(0))\n", + "model_out" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "183\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_350686/2492542175.py:29: UserWarning: No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n", + " plt.legend()\n" + ] + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plot_model_out(model_out, '93 Milion Miles - Passt Cetered 10s Segment')" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "env", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/playground/notebooks/test_passt_1_epoch_on_bardos.ipynb b/playground/notebooks/test_passt_1_epoch_on_bardos.ipynb new file mode 100644 index 0000000..b46c27b --- /dev/null +++ b/playground/notebooks/test_passt_1_epoch_on_bardos.ipynb @@ -0,0 +1,1622 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "import typing as tp\n", + "import math\n", + "import shutil\n", + "\n", + "import pickle\n", + "import numpy as np\n", + "import ffmpeg\n", + "import matplotlib.pyplot as plt\n", + "\n", + "import torch\n", + "import torch.nn as nn\n", + "import torchaudio\n", + "\n", + "from hear21passt.base import get_basic_model, get_model_passt" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "class PaSSTMTG(nn.Module):\n", + " def __init__(self, n_classes=183):\n", + " super(PaSSTMTG, self).__init__()\n", + "\n", + " self.passt = get_basic_model(mode=\"logits\")\n", + " self.passt.net = get_model_passt(arch=\"passt_s_swa_p16_128_ap476\", n_classes=n_classes)\n", + "\n", + " def forward(self, x):\n", + " passt_logit = self.passt(x)\n", + " logit = nn.Sigmoid()(passt_logit)\n", + "\n", + " return logit\n", + "\n", + "def get_passt():\n", + " passt = PaSSTMTG()\n", + " state_dict = torch.load('/home/felipe/Documents/Github/Pt-Brdo/src/pt_brdo/passt/passt_epoch_1_acc_0.975.pth')\n", + " passt.load_state_dict(state_dict)\n", + " return passt" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Warning: FMAX is None setting to 15000 \n", + "\n", + "\n", + " Loading PASST TRAINED ON AUDISET \n", + "\n", + "\n", + "PaSST(\n", + " (patch_embed): PatchEmbed(\n", + " (proj): Conv2d(1, 768, kernel_size=(16, 16), stride=(10, 10))\n", + " (norm): Identity()\n", + " )\n", + " (pos_drop): Dropout(p=0.0, inplace=False)\n", + " (blocks): Sequential(\n", + " (0): Block(\n", + " (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n", + " (attn): Attention(\n", + " (qkv): Linear(in_features=768, out_features=2304, bias=True)\n", + " (attn_drop): Dropout(p=0.0, inplace=False)\n", + " (proj): Linear(in_features=768, out_features=768, bias=True)\n", + " (proj_drop): 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elementwise_affine=True)\n", + " (attn): Attention(\n", + " (qkv): Linear(in_features=768, out_features=2304, bias=True)\n", + " (attn_drop): Dropout(p=0.0, inplace=False)\n", + " (proj): Linear(in_features=768, out_features=768, bias=True)\n", + " (proj_drop): Dropout(p=0.0, inplace=False)\n", + " )\n", + " (drop_path): Identity()\n", + " (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n", + " (mlp): Mlp(\n", + " (fc1): Linear(in_features=768, out_features=3072, bias=True)\n", + " (act): GELU(approximate='none')\n", + " (fc2): Linear(in_features=3072, out_features=768, bias=True)\n", + " (drop): Dropout(p=0.0, inplace=False)\n", + " )\n", + " )\n", + " (10): Block(\n", + " (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n", + " (attn): Attention(\n", + " (qkv): Linear(in_features=768, out_features=2304, bias=True)\n", + " (attn_drop): Dropout(p=0.0, inplace=False)\n", + " (proj): Linear(in_features=768, out_features=768, bias=True)\n", + " (proj_drop): Dropout(p=0.0, inplace=False)\n", + " )\n", + " (drop_path): Identity()\n", + " (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n", + " (mlp): Mlp(\n", + " (fc1): Linear(in_features=768, out_features=3072, bias=True)\n", + " (act): GELU(approximate='none')\n", + " (fc2): Linear(in_features=3072, out_features=768, bias=True)\n", + " (drop): Dropout(p=0.0, inplace=False)\n", + " )\n", + " )\n", + " (11): Block(\n", + " (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n", + " (attn): Attention(\n", + " (qkv): Linear(in_features=768, out_features=2304, bias=True)\n", + " (attn_drop): Dropout(p=0.0, inplace=False)\n", + " (proj): Linear(in_features=768, out_features=768, bias=True)\n", + " (proj_drop): Dropout(p=0.0, inplace=False)\n", + " )\n", + " (drop_path): Identity()\n", + " (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n", + " (mlp): Mlp(\n", + " (fc1): Linear(in_features=768, out_features=3072, bias=True)\n", + " (act): GELU(approximate='none')\n", + " (fc2): Linear(in_features=3072, out_features=768, bias=True)\n", + " (drop): Dropout(p=0.0, inplace=False)\n", + " )\n", + " )\n", + " )\n", + " (norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n", + " (pre_logits): Identity()\n", + " (head): Sequential(\n", + " (0): LayerNorm((768,), eps=1e-05, elementwise_affine=True)\n", + " (1): Linear(in_features=768, out_features=183, bias=True)\n", + " )\n", + " (head_dist): Linear(in_features=768, out_features=183, bias=True)\n", + ")\n" + ] + } + ], + "source": [ + "with torch.no_grad():\n", + " model = PaSSTMTG()\n", + "\n", + " S = torch.load('/home/felipe/Documents/Github/Pt-Brdo/src/pt_brdo/passt/passt_epoch_1_acc_0.975.pth')\n", + " model.load_state_dict(S)\n", + "\n", + " # inference\n", + " model.eval()\n", + " model = model.cuda()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['60s',\n", + " '70s',\n", + " '80s',\n", + " '90s',\n", + " 'acidjazz',\n", + " 'alternative',\n", + " 'alternativerock',\n", + " 'ambient',\n", + " 'atmospheric',\n", + " 'blues',\n", + " 'bluesrock',\n", + " 'bossanova',\n", + " 'breakbeat',\n", + " 'celtic',\n", + " 'chanson',\n", + " 'chillout',\n", + " 'choir',\n", + " 'classical',\n", + " 'classicrock',\n", + " 'club',\n", + " 'contemporary',\n", + " 'country',\n", + " 'dance',\n", + " 'darkambient',\n", + " 'darkwave',\n", + " 'deephouse',\n", + " 'disco',\n", + " 'downtempo',\n", + " 'drumnbass',\n", + " 'dub',\n", + " 'dubstep',\n", + " 'easylistening',\n", + " 'edm',\n", + " 'electronic',\n", + " 'electronica',\n", + " 'electropop',\n", + " 'ethno',\n", + " 'eurodance',\n", + " 'experimental',\n", + " 'folk',\n", + " 'funk',\n", + " 'fusion',\n", + " 'groove',\n", + " 'grunge',\n", + " 'hard',\n", + " 'hardrock',\n", + " 'hiphop',\n", + " 'house',\n", + " 'idm',\n", + " 'improvisation',\n", + " 'indie',\n", + " 'industrial',\n", + " 'instrumentalpop',\n", + " 'instrumentalrock',\n", + " 'jazz',\n", + " 'jazzfusion',\n", + " 'latin',\n", + " 'lounge',\n", + " 'medieval',\n", + " 'metal',\n", + " 'minimal',\n", + " 'newage',\n", + " 'newwave',\n", + " 'orchestral',\n", + " 'pop',\n", + " 'popfolk',\n", + " 'poprock',\n", + " 'postrock',\n", + " 'progressive',\n", + " 'psychedelic',\n", + " 'punkrock',\n", + " 'rap',\n", + " 'reggae',\n", + " 'rnb',\n", + " 'rock',\n", + " 'rocknroll',\n", + " 'singersongwriter',\n", + " 'soul',\n", + " 'soundtrack',\n", + " 'swing',\n", + " 'symphonic',\n", + " 'synthpop',\n", + " 'techno',\n", + " 'trance',\n", + " 'triphop',\n", + " 'world',\n", + " 'worldfusion',\n", + " 'accordion',\n", + " 'acousticbassguitar',\n", + " 'acousticguitar',\n", + " 'bass',\n", + " 'beat',\n", + " 'bell',\n", + " 'bongo',\n", + " 'brass',\n", + " 'cello',\n", + " 'clarinet',\n", + " 'classicalguitar',\n", + " 'computer',\n", + " 'doublebass',\n", + " 'drummachine',\n", + " 'drums',\n", + " 'electricguitar',\n", + " 'electricpiano',\n", + " 'flute',\n", + " 'guitar',\n", + " 'harmonica',\n", + " 'harp',\n", + " 'horn',\n", + " 'keyboard',\n", + " 'oboe',\n", + " 'orchestra',\n", + " 'organ',\n", + " 'pad',\n", + " 'percussion',\n", + " 'piano',\n", + " 'pipeorgan',\n", + " 'rhodes',\n", + " 'sampler',\n", + " 'saxophone',\n", + " 'strings',\n", + " 'synthesizer',\n", + " 'trombone',\n", + " 'trumpet',\n", + " 'viola',\n", + " 'violin',\n", + " 'voice',\n", + " 'action',\n", + " 'adventure',\n", + " 'advertising',\n", + " 'background',\n", + " 'ballad',\n", + " 'calm',\n", + " 'children',\n", + " 'christmas',\n", + " 'commercial',\n", + " 'cool',\n", + " 'corporate',\n", + " 'dark',\n", + " 'deep',\n", + " 'documentary',\n", + " 'drama',\n", + " 'dramatic',\n", + " 'dream',\n", + " 'emotional',\n", + " 'energetic',\n", + " 'epic',\n", + " 'fast',\n", + " 'film',\n", + " 'fun',\n", + " 'funny',\n", + " 'game',\n", + " 'groovy',\n", + " 'happy',\n", + " 'heavy',\n", + " 'holiday',\n", + " 'hopeful',\n", + " 'inspiring',\n", + " 'love',\n", + " 'meditative',\n", + " 'melancholic',\n", + " 'melodic',\n", + " 'motivational',\n", + " 'movie',\n", + " 'nature',\n", + " 'party',\n", + " 'positive',\n", + " 'powerful',\n", + " 'relaxing',\n", + " 'retro',\n", + " 'romantic',\n", + " 'sad',\n", + " 'sexy',\n", + " 'slow',\n", + " 'soft',\n", + " 'soundscape',\n", + " 'space',\n", + " 'sport',\n", + " 'summer',\n", + " 'trailer',\n", + " 'travel',\n", + " 'upbeat',\n", + " 'uplifting']" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "def get_tag_list(option):\n", + " if option == 'top50tags':\n", + " tag_list = np.load('tag_list_50.npy')\n", + " else:\n", + " tag_list = np.load('tag_list.npy')\n", + " if option == 'genre':\n", + " tag_list = tag_list[:87]\n", + " elif option == 'instrument':\n", + " tag_list = tag_list[87:127]\n", + " elif option == 'moodtheme':\n", + " tag_list = tag_list[127:]\n", + " return list(tag_list)\n", + "\n", + "tags = get_tag_list('all')\n", + "\n", + "for idx, tag in enumerate(tags):\n", + " tags[idx] = tag.split('---')[-1]\n", + "\n", + "tags" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "def plot_model_out(model_out:torch.Tensor, song:str):\n", + " model_out = (model_out * 100)\n", + " max_value = math.ceil(model_out.max().item())\n", + " model_out = model_out.cpu().detach().numpy()[0]\n", + "\n", + " # set width of bar\n", + " barWidth = 0.4\n", + " fig, ax = plt.subplots(figsize =(24, 6))\n", + "\n", + " # Set position of bar on X axis \n", + " br_orig = np.arange(len(model_out))\n", + "\n", + " # Add x, y gridlines\n", + " plt.grid(color ='grey',\n", + " linestyle ='-.', linewidth = 0.5,\n", + " alpha = 0.4)\n", + "\n", + " # Make the plot\n", + " plt.bar(br_orig, model_out, color ='r', width = barWidth, edgecolor ='grey') \n", + "\n", + " # Adding Xticks \n", + " plt.xlabel('Tags', fontweight ='bold', fontsize = 15) \n", + " plt.ylabel('Percentage', fontweight ='bold', fontsize = 15)\n", + " plt.xticks([r + barWidth//2 for r in range(len(tags))], tags, rotation='vertical')\n", + " plt.yticks([x*4 for x in range(max_value//4 + 2)])\n", + " plt.title(song)\n", + "\n", + " plt.legend()\n", + " plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "def plot_for_bardo(experiment, bardo, video_id, segment_idx, get_generated=True, get_original=True):\n", + " generated_path = f\"/home/felipe/Documents/Github/Pt-Brdo/experiments/{experiment}/results/{bardo}/audios/generated/{bardo}_{video_id}.wav\"\n", + " original_path = f\"/home/felipe/Documents/Github/Pt-Brdo/experiments/{experiment}/results/original/audios/{video_id}.wav\"\n", + "\n", + " # Temp dirs for 10s audios\n", + " tmp_dir = f\"/home/felipe/Documents/Github/Pt-Brdo/experiments/{experiment}/tmp_for_passt_viz\"\n", + " gen_tmp_dir = os.path.join(tmp_dir, \"generated\")\n", + " orig_tmp_dir = os.path.join(tmp_dir, \"original\")\n", + "\n", + " os.makedirs(gen_tmp_dir)\n", + " os.makedirs(orig_tmp_dir)\n", + "\n", + " gen_out_file = generated_path.split('/')[-1].split('.')[0]+'_%03d.wav'\n", + " gen_out_path = os.path.join(gen_tmp_dir, gen_out_file)\n", + "\n", + " orig_out_file = original_path.split('/')[-1].split('.')[0]+'_%03d.wav'\n", + " orig_out_path = os.path.join(orig_tmp_dir, orig_out_file)\n", + "\n", + " # Convert to mono 32khz wav and split in 10s segments\n", + " if get_generated:\n", + " stream = ffmpeg.input(generated_path)\n", + " stream = ffmpeg.output(stream, gen_out_path, f='segment', segment_time=10, ar=32000, ac=1)\n", + " ffmpeg.run(stream)\n", + "\n", + " if get_original:\n", + " stream = ffmpeg.input(original_path)\n", + " stream = ffmpeg.output(stream, orig_out_path, f='segment', segment_time=10, ar=32000, ac=1)\n", + " ffmpeg.run(stream)\n", + "\n", + " with torch.no_grad():\n", + "\n", + " # Gen Load 10s segment, Inferece && Plot\n", + " if get_generated:\n", + " gen_audio = torchaudio.load(os.path.join(gen_tmp_dir, gen_out_file.replace('%03d', f\"{str(segment_idx):03}\")))\n", + " gen_audio = gen_audio[0].squeeze()[:32000 * 10].unsqueeze(0).cuda()\n", + " gen_distrib = model(gen_audio)\n", + " plot_model_out(gen_distrib, f\"PaSST Predictions for Babel Bardo Emotion for Episode 8 from 0 to 10s\")\n", + " gen_audio.cpu()\n", + "\n", + " # Orig Load 10s segment, Inferece && Plot\n", + " if get_original:\n", + " orig_audio = torchaudio.load(os.path.join(orig_tmp_dir, orig_out_file.replace('%03d', f\"{str(segment_idx):03}\")))\n", + " orig_audio = orig_audio[0].squeeze()[:32000 * 10].unsqueeze(0).cuda()\n", + " orig_distrib = model(orig_audio)\n", + " plot_model_out(orig_distrib, f\"Original Audio for {video_id} - 10s Segment at {segment_idx*10}s\")\n", + " orig_audio.cpu()\n", + "\n", + " shutil.rmtree(tmp_dir)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Video 1 (tZWU5iPjQpI) at 0s" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "ffmpeg version N-116327-gb3aeef3bf9 Copyright (c) 2000-2024 the FFmpeg developers\n", + " built with gcc 11 (Ubuntu 11.4.0-1ubuntu1~22.04)\n", + " configuration: --enable-nonfree --enable-cuda-nvcc --enable-libnpp --extra-cflags=-I/usr/local/cuda/include --extra-ldflags=-L/usr/local/cuda/lib64 --disable-static --enable-shared\n", + " libavutil 59. 28.100 / 59. 28.100\n", + " libavcodec 61. 10.100 / 61. 10.100\n", + " libavformat 61. 5.101 / 61. 5.101\n", + " libavdevice 61. 2.100 / 61. 2.100\n", + " libavfilter 10. 2.102 / 10. 2.102\n", + " libswscale 8. 2.100 / 8. 2.100\n", + " libswresample 5. 2.100 / 5. 2.100\n", + "[aist#0:0/pcm_s16le @ 0x56467060b8c0] Guessed Channel Layout: stereo\n", + "Input #0, wav, from '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/results/original/audios/tZWU5iPjQpI.wav':\n", + " Metadata:\n", + " encoder : Lavf58.76.100\n", + " Duration: 00:30:00.00, bitrate: 1411 kb/s\n", + " Stream #0:0: Audio: pcm_s16le ([1][0][0][0] / 0x0001), 44100 Hz, stereo, s16, 1411 kb/s\n", + "Stream mapping:\n", + " Stream #0:0 -> #0:0 (pcm_s16le (native) -> pcm_s16le (native))\n", + "Press [q] to stop, [?] for help\n", + "[segment @ 0x5646705fb380] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/original/tZWU5iPjQpI_000.wav' for writing\n", + "Output #0, segment, to '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/original/tZWU5iPjQpI_%03d.wav':\n", + " Metadata:\n", + " encoder : Lavf61.5.101\n", + " Stream #0:0: Audio: pcm_s16le, 32000 Hz, mono, s16, 512 kb/s\n", + " Metadata:\n", + " encoder : Lavc61.10.100 pcm_s16le\n", + "[segment @ 0x5646705fb380] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/original/tZWU5iPjQpI_001.wav' for writing\n", + "[segment @ 0x5646705fb380] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/original/tZWU5iPjQpI_002.wav' for writing\n", + "[segment @ 0x5646705fb380] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/original/tZWU5iPjQpI_003.wav' for writing\n", + "[segment @ 0x5646705fb380] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/original/tZWU5iPjQpI_004.wav' for writing\n", + "[segment @ 0x5646705fb380] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/original/tZWU5iPjQpI_005.wav' for writing\n", + "[segment @ 0x5646705fb380] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/original/tZWU5iPjQpI_006.wav' for writing\n", + "[segment @ 0x5646705fb380] Opening 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"/home/felipe/Documents/Github/Pt-Brdo/env/lib/python3.10/site-packages/torch/functional.py:650: UserWarning: stft with return_complex=False is deprecated. In a future pytorch release, stft will return complex tensors for all inputs, and return_complex=False will raise an error.\n", + "Note: you can still call torch.view_as_real on the complex output to recover the old return format. (Triggered internally at ../aten/src/ATen/native/SpectralOps.cpp:863.)\n", + " return _VF.stft(input, n_fft, hop_length, win_length, window, # type: ignore[attr-defined]\n", + "/home/felipe/Documents/Github/Pt-Brdo/env/lib/python3.10/site-packages/hear21passt/models/passt.py:304: UserWarning: Input image size (128*1000) doesn't match model (128*998).\n", + " warnings.warn(f\"Input image size ({H}*{W}) doesn't match model ({self.img_size[0]}*{self.img_size[1]}).\")\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "x torch.Size([1, 1, 128, 1000])\n", + "self.norm(x) torch.Size([1, 768, 12, 99])\n", + " patch_embed : torch.Size([1, 768, 12, 99])\n", + " self.time_new_pos_embed.shape torch.Size([1, 768, 1, 99])\n", + " self.freq_new_pos_embed.shape torch.Size([1, 768, 12, 1])\n", + "X flattened torch.Size([1, 1188, 768])\n", + " self.new_pos_embed.shape torch.Size([1, 2, 768])\n", + " self.cls_tokens.shape torch.Size([1, 1, 768])\n", + " self.dist_token.shape torch.Size([1, 1, 768])\n", + " final sequence x torch.Size([1, 1190, 768])\n", + " after 12 atten blocks x torch.Size([1, 1190, 768])\n", + "forward_features torch.Size([1, 768])\n", + "head torch.Size([1, 183])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_56849/1832509984.py:28: UserWarning: No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n", + " plt.legend()\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plot_for_bardo('cotw', 'bardo_3', 'tZWU5iPjQpI', 0, get_generated=False)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Bardo 0 " + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "ffmpeg version N-116327-gb3aeef3bf9 Copyright (c) 2000-2024 the FFmpeg developers\n", + " built with gcc 11 (Ubuntu 11.4.0-1ubuntu1~22.04)\n", + " configuration: --enable-nonfree --enable-cuda-nvcc --enable-libnpp --extra-cflags=-I/usr/local/cuda/include --extra-ldflags=-L/usr/local/cuda/lib64 --disable-static --enable-shared\n", + " libavutil 59. 28.100 / 59. 28.100\n", + " libavcodec 61. 10.100 / 61. 10.100\n", + " libavformat 61. 5.101 / 61. 5.101\n", + " libavdevice 61. 2.100 / 61. 2.100\n", + " libavfilter 10. 2.102 / 10. 2.102\n", + " libswscale 8. 2.100 / 8. 2.100\n", + " libswresample 5. 2.100 / 5. 2.100\n", + "[aist#0:0/pcm_s16le @ 0x56502bf15540] Guessed Channel Layout: mono\n", + "Input #0, wav, from '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/results/bardo_0/audios/generated/bardo_0_EuLjzuOF5Nc.wav':\n", + " Metadata:\n", + " encoder : Lavf58.76.100\n", + " Duration: 00:29:59.00, bitrate: 512 kb/s\n", + " Stream #0:0: Audio: pcm_s16le ([1][0][0][0] / 0x0001), 32000 Hz, mono, s16, 512 kb/s\n", + "Stream mapping:\n", + " Stream #0:0 -> #0:0 (pcm_s16le (native) -> pcm_s16le (native))\n", + "Press [q] to stop, [?] for help\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_000.wav' for writing\n", + "Output #0, segment, to '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_%03d.wav':\n", + " Metadata:\n", + " encoder : Lavf61.5.101\n", + " Stream #0:0: Audio: pcm_s16le, 32000 Hz, mono, s16, 512 kb/s\n", + " Metadata:\n", + " encoder : Lavc61.10.100 pcm_s16le\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_001.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_002.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_003.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_004.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_005.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_006.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_007.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_008.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_009.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_010.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_011.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_012.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_013.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_014.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_015.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_016.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_017.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_018.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_019.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_020.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_021.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_022.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_023.wav' for writing\n", + "[segment 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"[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_030.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_031.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_032.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_033.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_034.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_035.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_036.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_037.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_038.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_039.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_040.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_041.wav' for 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for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_048.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_049.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_050.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_051.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_052.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening 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Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_059.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_060.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_061.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_062.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_063.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_064.wav' for writing\n", + "[segment @ 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"[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_077.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_078.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_079.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_080.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_081.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_082.wav' for writing\n", 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Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_106.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_107.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_108.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_109.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_110.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_111.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_112.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_113.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_114.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_115.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_116.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_117.wav' for writing\n", + "[segment 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"[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_124.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_125.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_126.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_127.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_128.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_129.wav' for writing\n", 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writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_136.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_137.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_138.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_139.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_140.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_141.wav' 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"[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_171.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_172.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_173.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_174.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_175.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_176.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_177.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_178.wav' for writing\n", + "[segment @ 0x56502bf2f100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_0_EuLjzuOF5Nc_179.wav' for writing\n", + "[out#0/segment @ 0x56502beecc80] video:0KiB audio:112438KiB subtitle:0KiB other streams:0KiB global headers:0KiB muxing overhead: unknown\n", + "size=N/A time=00:29:59.00 bitrate=N/A speed=2.51e+03x \n", + "/home/felipe/Documents/Github/Pt-Brdo/env/lib/python3.10/site-packages/hear21passt/models/passt.py:304: UserWarning: Input image size (128*1000) doesn't match model (128*998).\n", + " warnings.warn(f\"Input image size ({H}*{W}) doesn't match model ({self.img_size[0]}*{self.img_size[1]}).\")\n", + "/tmp/ipykernel_56849/1832509984.py:28: UserWarning: No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n", + " plt.legend()\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plot_for_bardo('cotw', 'bardo_0', 'EuLjzuOF5Nc', 0, get_original=False)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Bardo 3" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "ffmpeg version N-116327-gb3aeef3bf9 Copyright (c) 2000-2024 the FFmpeg developers\n", + " built with gcc 11 (Ubuntu 11.4.0-1ubuntu1~22.04)\n", + " configuration: --enable-nonfree --enable-cuda-nvcc --enable-libnpp --extra-cflags=-I/usr/local/cuda/include --extra-ldflags=-L/usr/local/cuda/lib64 --disable-static --enable-shared\n", + " libavutil 59. 28.100 / 59. 28.100\n", + " libavcodec 61. 10.100 / 61. 10.100\n", + " libavformat 61. 5.101 / 61. 5.101\n", + " libavdevice 61. 2.100 / 61. 2.100\n", + " libavfilter 10. 2.102 / 10. 2.102\n", + " libswscale 8. 2.100 / 8. 2.100\n", + " 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+ "[segment @ 0x5646fc486100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_3_tZWU5iPjQpI_036.wav' for writing\n", + "[segment @ 0x5646fc486100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_3_tZWU5iPjQpI_037.wav' for writing\n", + "[segment @ 0x5646fc486100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_3_tZWU5iPjQpI_038.wav' for writing\n", + "[segment @ 0x5646fc486100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_3_tZWU5iPjQpI_039.wav' for writing\n", + "[segment @ 0x5646fc486100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_3_tZWU5iPjQpI_040.wav' for writing\n", + "[segment @ 0x5646fc486100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_3_tZWU5iPjQpI_041.wav' for 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+ "[segment @ 0x5646fc486100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_3_tZWU5iPjQpI_130.wav' for writing\n", + "[segment @ 0x5646fc486100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_3_tZWU5iPjQpI_131.wav' for writing\n", + "[segment @ 0x5646fc486100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_3_tZWU5iPjQpI_132.wav' for writing\n", + "[segment @ 0x5646fc486100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_3_tZWU5iPjQpI_133.wav' for writing\n", + "[segment @ 0x5646fc486100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_3_tZWU5iPjQpI_134.wav' for writing\n", + "[segment @ 0x5646fc486100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_3_tZWU5iPjQpI_135.wav' for 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"[segment @ 0x5646fc486100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_3_tZWU5iPjQpI_171.wav' for writing\n", + "[segment @ 0x5646fc486100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_3_tZWU5iPjQpI_172.wav' for writing\n", + "[segment @ 0x5646fc486100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_3_tZWU5iPjQpI_173.wav' for writing\n", + "[segment @ 0x5646fc486100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_3_tZWU5iPjQpI_174.wav' for writing\n", + "[segment @ 0x5646fc486100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_3_tZWU5iPjQpI_175.wav' for writing\n", + "[segment @ 0x5646fc486100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_3_tZWU5iPjQpI_176.wav' for writing\n", + "[segment @ 0x5646fc486100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_3_tZWU5iPjQpI_177.wav' for writing\n", + "[segment @ 0x5646fc486100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_3_tZWU5iPjQpI_178.wav' for writing\n", + "[segment @ 0x5646fc486100] Opening '/home/felipe/Documents/Github/Pt-Brdo/experiments/cotw/tmp_for_passt_viz/generated/bardo_3_tZWU5iPjQpI_179.wav' for writing\n", + "[out#0/segment @ 0x5646fc443c80] video:0KiB audio:112438KiB subtitle:0KiB other streams:0KiB global headers:0KiB muxing overhead: unknown\n", + "size=N/A time=00:29:59.00 bitrate=N/A speed=1.76e+03x \n", + "/home/felipe/Documents/Github/Pt-Brdo/env/lib/python3.10/site-packages/hear21passt/models/passt.py:304: UserWarning: Input image size (128*1000) doesn't match model (128*998).\n", + " warnings.warn(f\"Input image size ({H}*{W}) doesn't match model ({self.img_size[0]}*{self.img_size[1]}).\")\n", + "/tmp/ipykernel_56849/1832509984.py:28: UserWarning: No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n", + " plt.legend()\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plot_for_bardo('cotw', 'bardo_3', 'tZWU5iPjQpI', 0, get_original=False)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "env", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/playground/scripts/basic_continuation_encodec_crossfade.py b/playground/scripts/basic_continuation_encodec_crossfade.py new file mode 100644 index 0000000..f7ade42 --- /dev/null +++ b/playground/scripts/basic_continuation_encodec_crossfade.py @@ -0,0 +1,102 @@ +#%% +import pathlib +import os + +import torch + +from audiocraft.models import MusicGen +from audiocraft.data.audio import audio_write + +from time import perf_counter + +SCRIPTS_PATH = pathlib.Path(__file__).parent.resolve() +SAVE_AUDIOS_PATH = SCRIPTS_PATH.joinpath('audios') +PROMPT = 'Imagine a track that begins with a soft, mystical ambiance, capturing the essence of stepping into an epic fantasy world. Gentle strings and ethereal chimes create an air of anticipation, setting the stage for the grand adventure ahead. As the dungeon master welcomes the players, the music subtly swells, introducing a light, rhythmic pulse that hints at the excitement and challenges to come. This composition should evoke a sense of camaraderie and heroism, with melodic undertones that reflect the promise of epic quests and the bond between the adventurers. Perfect for immersing players into the magical world of Dungeons & Dragons right from the start of their campaign.' + +if not os.path.isdir(SAVE_AUDIOS_PATH): + os.mkdir(SAVE_AUDIOS_PATH) + +model = MusicGen.get_pretrained('facebook/musicgen-small') + +#%% +model.set_generation_params( + use_sampling=True, + top_k=250, + duration=30, + extend_stride=10 +) + +#%% +start = perf_counter() +wav1, tokens1 = model.generate( + descriptions=[PROMPT], + return_tokens=True, + progress=True +) +end = perf_counter() +print("wav1.shape:", wav1.shape, "took:", end-start,"seconds") + +#%% +overlap = model.duration - model.extend_stride +cutted_wav1 = wav1[:, :, -overlap*model.sample_rate:] +print("cutted_wav1.shape:", cutted_wav1.shape) + + +#%% +start = perf_counter() +wav2, tokens2 = model.generate_continuation( + cutted_wav1, + prompt_sample_rate = model.sample_rate, + return_tokens=True, + progress=True + ) +end = perf_counter() +print("wav2.shape:", wav2.shape, "took:", end-start,"seconds") + +#%% +# Basiline +print("Direct concatenation between wav1 and wav2") +wav_out = torch.cat((wav1, wav2), 2) +wav_out = torch.squeeze(wav_out, 0) +audio_write(SAVE_AUDIOS_PATH.joinpath('baseline'), wav_out.cpu(), model.sample_rate, strategy="loudness", loudness_compressor=True) + +#%% +# Render wav2 getting part of wav1 +print("\nRender wav2 getting part of wav1") +tokens2_render = torch.cat((tokens1[:, :, -50:], tokens2), 2) +print("cat tokens1 -50: w/ tokens2", tokens2_render.shape) + +tokens2_render = model.compression_model.decode(tokens2_render) +print("decoded tokens2_render", tokens2_render.shape) + +tokens2_render = tokens2_render[:, :, model.sample_rate:] +print("cutted the wav1 extra 1s from tokens2_render", tokens2_render.shape) + +wav_out = torch.cat((wav1, tokens2_render), 2) +print("cat wa1 and tokens2_render", wav_out.shape) + +wav_out = torch.squeeze(wav_out, 0) +audio_write(SAVE_AUDIOS_PATH.joinpath('wav2_getting_1s_wa1'), wav_out.cpu(), model.sample_rate, strategy="loudness", loudness_compressor=True) + +#%% +# wav1/wav2 crossfade +print("\nwav1/wav2 crossfade") +tokens1_render = torch.cat((tokens1, tokens2[:, :, :50]), 2) +print("cat tokens1 w/ tokens2 :50", tokens1_render.shape) + +tokens2_render = torch.cat((tokens1[:, :, -50:], tokens2), 2) +print("cat tokens1 -50: w/ tokens2", tokens2_render.shape) + +tokens1_render = model.compression_model.decode(tokens1_render) +tokens2_render = model.compression_model.decode(tokens2_render) +print("decoded tokens1_render", tokens1_render.shape, "and tokens2_render", tokens2_render.shape) + +tokens1_render = tokens1_render[:, :, :-model.sample_rate] +tokens2_render = tokens2_render[:, :, model.sample_rate:] +print("cutted the extra 1s tokens1_render", tokens1_render.shape, "tokens2_render", tokens2_render.shape) + +wav_out = torch.cat((tokens1_render, tokens2_render), 2) +print("cat tokens1_render and tokens2_render", wav_out.shape) + +wav_out = torch.squeeze(wav_out, 0) +audio_write(SAVE_AUDIOS_PATH.joinpath('wav1_wav2_corssfade'), wav_out.cpu(), model.sample_rate, strategy="loudness", loudness_compressor=True) \ No newline at end of file diff --git a/playground/scripts/basic_continuation_gen.py b/playground/scripts/basic_continuation_gen.py new file mode 100644 index 0000000..9c2d490 --- /dev/null +++ b/playground/scripts/basic_continuation_gen.py @@ -0,0 +1,73 @@ +#%% +import pathlib +import os + +import torch + +from audiocraft.models import MusicGen +from audiocraft.data.audio import audio_write + +SCRIPTS_PATH = pathlib.Path(__file__).parent.resolve() +SAVE_AUDIOS_PATH = SCRIPTS_PATH.joinpath('audios') +PROMPT = 'Imagine a track that begins with a soft, mystical ambiance, capturing the essence of stepping into an epic fantasy world. Gentle strings and ethereal chimes create an air of anticipation, setting the stage for the grand adventure ahead. As the dungeon master welcomes the players, the music subtly swells, introducing a light, rhythmic pulse that hints at the excitement and challenges to come. This composition should evoke a sense of camaraderie and heroism, with melodic undertones that reflect the promise of epic quests and the bond between the adventurers. Perfect for immersing players into the magical world of Dungeons & Dragons right from the start of their campaign.' + +if not os.path.isdir(SAVE_AUDIOS_PATH): + os.mkdir(SAVE_AUDIOS_PATH) + +model = MusicGen.get_pretrained('facebook/musicgen-small') + +#%% +model.set_generation_params( + use_sampling=True, + top_k=250, + duration=30, + extend_stride=10 +) + +output = model.generate( + descriptions=[PROMPT], + progress=True +) + +#%% +# Hypothesis: +# To generate the continuation the context passed must +# be of duration 30s - extend_stride, getting the end +# of the last generated output + +# Although the assert for the continuation prompt being +# prompt.shape[3] < max_gen_len +# Where max_gen_len = self.duration * self.frame_rate = 30 * 50 +# And prompt comes from self.compression_model.encode(prompt), which +# for 30s and sample_rate of 32K receives 960.000 values and returns 1500 + +# The following apps based on MusicGen corroborates the Hyphotesis +# context/overlap size as input to model.generate_continuation +# https://colab.research.google.com/github/camenduru/MusicGen-colab/blob/main/MusicGen_long_colab.ipynb +# https://github.com/Oncorporation/audiocraft/blob/c39d98965cda19603cafe215fa7b68fd69f41009/app.py#L278C16-L278C84 + +overlap = model.duration - model.extend_stride +cutted_out = output[:, :, -overlap*model.sample_rate:] +print(cutted_out.shape) + +# As an extra example, this one trims the start and end, but the Hyphotesis +# makes more sence +# https://github.com/GrandaddyShmax/audiocraft_plus/blob/c9ff851e7b509d3b6dd735aaefe438823319674e/app.py#L497 + +#%% +continuation = model.generate_continuation( + cutted_out, + prompt_sample_rate = model.sample_rate, + progress=True + ) +# Cutting 1 second is sufficient already +print(continuation.shape) + +#%% +# Concatenate output and continuation +concat_outs = torch.cat((output, continuation), dim=1) + +# Squeeze to eliminate the first dim which indicates how many audios were generated (useless for when only 1 is generated) +output_sqz = torch.squeeze(concat_outs, 0) + +audio_write(SAVE_AUDIOS_PATH.joinpath('continuated_audio'), output_sqz.cpu(), model.sample_rate, strategy="loudness", loudness_compressor=True) \ No newline at end of file diff --git a/playground/scripts/basic_continuation_mdb.py b/playground/scripts/basic_continuation_mdb.py new file mode 100644 index 0000000..a3e6aa6 --- /dev/null +++ b/playground/scripts/basic_continuation_mdb.py @@ -0,0 +1,63 @@ +#%% +import pathlib +import os + +import torch + +from audiocraft.models import MusicGen, MultiBandDiffusion +from audiocraft.data.audio import audio_write + +SCRIPTS_PATH = pathlib.Path(__file__).parent.resolve() +SAVE_AUDIOS_PATH = SCRIPTS_PATH.joinpath('audios') +PROMPT = 'Imagine a track that begins with a soft, mystical ambiance, capturing the essence of stepping into an epic fantasy world. Gentle strings and ethereal chimes create an air of anticipation, setting the stage for the grand adventure ahead. As the dungeon master welcomes the players, the music subtly swells, introducing a light, rhythmic pulse that hints at the excitement and challenges to come. This composition should evoke a sense of camaraderie and heroism, with melodic undertones that reflect the promise of epic quests and the bond between the adventurers. Perfect for immersing players into the magical world of Dungeons & Dragons right from the start of their campaign.' + +if not os.path.isdir(SAVE_AUDIOS_PATH): + os.mkdir(SAVE_AUDIOS_PATH) + +#%% + +model = MusicGen.get_pretrained('facebook/musicgen-small') +mbd = MultiBandDiffusion.get_mbd_musicgen() + +#%% +model.set_generation_params( + use_sampling=True, + top_k=250, + duration=30, + extend_stride=10 +) + +wav1, tokens1 = model.generate( + descriptions=[PROMPT], + return_tokens=True, + progress=True +) + +wav1 = mbd.tokens_to_wav(tokens1) + +overlap = model.duration - model.extend_stride +cutted_out = wav1[:, :, -overlap*model.sample_rate:] +print(cutted_out.shape) + +# As an extra example, this one trims the start and end, but the Hyphotesis +# makes more sence +# https://github.com/GrandaddyShmax/audiocraft_plus/blob/c9ff851e7b509d3b6dd735aaefe438823319674e/app.py#L497 + +#%% +wav2, tokens2 = model.generate_continuation( + cutted_out, + prompt_sample_rate = model.sample_rate, + return_tokens=True, + progress=True + ) + +wav2 = mbd.tokens_to_wav(tokens2) + +#%% +# Concatenate output and continuation +concat_outs = torch.cat((wav1, wav2), dim=1) + +# Squeeze to eliminate the first dim which indicates how many audios were generated (useless for when only 1 is generated) +output_sqz = torch.squeeze(concat_outs, 0) + +audio_write(SAVE_AUDIOS_PATH.joinpath('mdb_audio'), output_sqz.cpu(), model.sample_rate, strategy="loudness", loudness_compressor=True) \ No newline at end of file diff --git a/playground/scripts/continuation_test_set.py b/playground/scripts/continuation_test_set.py new file mode 100644 index 0000000..85d31d8 --- /dev/null +++ b/playground/scripts/continuation_test_set.py @@ -0,0 +1,317 @@ +from typing import List +import os +from copy import deepcopy +import pathlib +from time import perf_counter + +import torch +import random +import numpy as np + +from audiocraft.models import MusicGen +from audiocraft.data.audio import audio_write + +SEED = 2147483647 +SCRIPTS_PATH = pathlib.Path(__file__).parent.resolve() +SAVE_AUDIOS_PATH = SCRIPTS_PATH.joinpath('continuation_test_audios') +DESCRIPTION = ['Imagine a track that begins with a soft, mystical ambiance, capturing the essence of stepping into an epic fantasy world. Gentle strings and ethereal chimes create an air of anticipation, setting the stage for the grand adventure ahead. As the dungeon master welcomes the players, the music subtly swells, introducing a light, rhythmic pulse that hints at the excitement and challenges to come. This composition should evoke a sense of camaraderie and heroism, with melodic undertones that reflect the promise of epic quests and the bond between the adventurers. Perfect for immersing players into the magical world of Dungeons & Dragons right from the start of their campaign.'] + +print('cuda.is_available:', torch.cuda.is_available()) + +class TestParams(): + def __init__(self, use_sampling: bool = True, top_k: int = 250, + top_p: float = 0.0, temperature: float = 1.0, + duration: float = 30.0, cfg_coef: float = 3.0, + two_step_cfg: bool = False, extend_stride: float = 18, + cut_prompt:bool=False, description=None): + """ + cut_prompt = If true prompt will be the overlap size (30-extend_strid). + Otherwise the prompt will be cutted off to 29s (the maximum allowed) if needed. + """ + self.use_sampling = use_sampling + self.top_k = top_k + self.top_p = top_p + self.temperature = temperature + self.duration = duration + self.cfg_coef = cfg_coef + self.two_step_cfg = two_step_cfg + self.extend_stride = extend_stride + self.cut_prompt = cut_prompt + self.description = description + + def __repr__(self): + return f"use_sampling={self.use_sampling}, \ntop_k={self.top_k}, \ntop_p={self.top_p}, \ntemperature={self.temperature}, \nduration={self.duration}, \ncfg_coef={self.cfg_coef}, \nextend_stride={self.extend_stride}, \ncut_prompt={self.cut_prompt}, \ndescription={self.description} \n" + +class ContinuationTest(): + def __init__(self, test_params_list: List[TestParams]) -> None: + self.test_params_list = test_params_list + + def log(self, path): + lines = [] + + for test_param in self.test_params_list: + lines.append(str(test_param)) + + with open(path, 'a') as file: + for line in lines: + file.write(line+'\n') + + def run(self, path, idx): + + model = MusicGen.get_pretrained('facebook/musicgen-small') + previous_out = None + test_output = None + + print("################ STARTING TEST:", idx) + for test_param in self.test_params_list: + start_test = perf_counter() + + model.set_generation_params( + use_sampling = test_param.use_sampling, + top_k = test_param.top_k, + top_p = test_param.top_p, + temperature = test_param.temperature, + duration = test_param.duration, + cfg_coef = test_param.cfg_coef, + two_step_cfg = test_param.two_step_cfg, + extend_stride = test_param.extend_stride + ) + + if previous_out == None: + print("Previous was none so generating") + previous_out = model.generate( + descriptions=test_param.description, + progress=True + ) + else: + _, _, T = previous_out.shape + print("Previous had shape", previous_out.shape) + + if test_param.cut_prompt: + overlap = model.duration - model.extend_stride + previous_out = previous_out[:, :, -overlap*model.sample_rate:] + print("Cutted to overlap size", previous_out.shape) + + if T >= model.sample_rate * model.duration: + # Cut 1 second + previous_out = previous_out[:, :, -29*model.sample_rate:] + print("Cutted 1 sec", previous_out.shape) + + previous_out = model.generate_continuation( + deepcopy(previous_out), + prompt_sample_rate = model.sample_rate, + descriptions=[test_param.description], + progress=True + ) + + print("Generated continuation with shape", previous_out.shape) + + end_test = perf_counter() + print(f"It took {(end_test-start_test):>2f}seconds") + + if test_output == None: + test_output = previous_out + else: + test_output = torch.cat((test_output, previous_out), dim=2) + print("Test output currently has shape", test_output.shape) + print() + + test_output = torch.squeeze(test_output, 0) + audio_write(path, test_output.cpu(), model.sample_rate, strategy="loudness", loudness_compressor=True) + +# top_k == 100 looks fine. +# Lowering the temperature is not a good idea. +# Lowering extend_stride doesn't seem to have much effect. +def set_tests() -> List[ContinuationTest]: + continuation_tests = [] + + ### Test 1 + test1 = ContinuationTest( + [ + TestParams(duration=40, description=DESCRIPTION), + TestParams(duration=40, extend_stride=10), + TestParams(duration=40, extend_stride=10) + ] + ) + continuation_tests.append(test1) + # Previous was none so generating + + # ####################### _generate_tokens ####################### + # Started with prompt_length 0 + # frame_rate 50 extend_stride 18 + + # While 0 < 2000 + # Generated size torch.Size([1, 4, 1500]) + # New prompt_length is 600 + # New current_gen_offset is 900 + # ############### ALL TOKENS: ################## + # torch.Size([1, 4, 1500]) + + # While 1500 < 2000 + # Generated size torch.Size([1, 4, 1100]) + # New prompt_length is 200 + # New current_gen_offset is 1800 + # ############### ALL TOKENS: ################## + # torch.Size([1, 4, 1500]) + # torch.Size([1, 4, 500]) + # It took 780.3322400280013 seconds + # Test output currently has shape torch.Size([1, 1, 1280000]) + + # Previous had shape torch.Size([1, 1, 1280000]) + # Cutted 1 sec torch.Size([1, 1, 928000]) + + # ####################### _generate_tokens ####################### + # Started with prompt_length 1450 + # frame_rate 50 extend_stride 10 + + # While 1450 < 2000 + # Generated size torch.Size([1, 4, 1500]) + # New prompt_length is 1000 + # New current_gen_offset is 500 + # ############### ALL TOKENS: ################## + # torch.Size([1, 4, 1450]) + # torch.Size([1, 4, 50]) + + # While 1500 < 2000 + # Generated size torch.Size([1, 4, 1500]) + # New prompt_length is 1000 + # New current_gen_offset is 1000 + # ############### ALL TOKENS: ################## + # torch.Size([1, 4, 1450]) + # torch.Size([1, 4, 50]) + # torch.Size([1, 4, 500]) + # Generated continuation with shape torch.Size([1, 1, 1280000]) + # It took 286.5574772749969 seconds + # Test output currently has shape torch.Size([1, 1, 2560000]) + + # Previous had shape torch.Size([1, 1, 1280000]) + # Cutted 1 sec torch.Size([1, 1, 928000]) + + # ####################### _generate_tokens ####################### + # Started with prompt_length 1450 + # frame_rate 50 extend_stride 10 + + # While 1450 < 2000 + # Generated size torch.Size([1, 4, 1500]) + # New prompt_length is 1000 + # New current_gen_offset is 500 + # ############### ALL TOKENS: ################## + # torch.Size([1, 4, 1450]) + # torch.Size([1, 4, 50]) + + # While 1500 < 2000 + # Generated size torch.Size([1, 4, 1500]) + # New prompt_length is 1000 + # New current_gen_offset is 1000 + # ############### ALL TOKENS: ################## + # torch.Size([1, 4, 1450]) + # torch.Size([1, 4, 50]) + # torch.Size([1, 4, 500]) + # Generated continuation with shape torch.Size([1, 1, 1280000]) + # It took 286.1960641080004 seconds + # Test output currently has shape torch.Size([1, 1, 3840000]) + + ### Test 2 + test2 = ContinuationTest( + [ + TestParams(duration=15, top_k=100, description=DESCRIPTION), + TestParams(duration=30, top_k=100, extend_stride=5) + ] + ) + #continuation_tests.append(test2) + + ### Test 3 + test3 = ContinuationTest( + [ + TestParams(duration=15, top_k=100, temperature=0.5, description=DESCRIPTION), + TestParams(duration=30, top_k=100, temperature=0.5, extend_stride=5) + ] + ) + #continuation_tests.append(test3) + + ### Test 4 + test4 = ContinuationTest( + [ + TestParams(duration=15, top_k=100, temperature=0, description=DESCRIPTION), + TestParams(duration=30, top_k=100, temperature=0, extend_stride=5) + ] + ) + #continuation_tests.append(test4) + + ### Test 5 + test5 = ContinuationTest( + [ + TestParams(duration=15, top_k=100, temperature=0, cfg_coef=1, description=DESCRIPTION), + TestParams(duration=30, top_k=100, temperature=0, cfg_coef=1, extend_stride=5) + ] + ) + #continuation_tests.append(test5) + + ### Test 6 + test6 = ContinuationTest( + [ + TestParams(duration=15, top_p=0.1, temperature=0, cfg_coef=1, description=DESCRIPTION), + TestParams(duration=30, top_p=0.1, temperature=0, cfg_coef=1, extend_stride=5) + ] + ) + #continuation_tests.append(test6) + + ### Test 7 + test7 = ContinuationTest( + [ + TestParams(duration=15, top_p=0.5, temperature=0, cfg_coef=1, description=DESCRIPTION), + TestParams(duration=30, top_p=0.5, temperature=0, cfg_coef=1, extend_stride=5) + ] + ) + #continuation_tests.append(test7) + + ### Test 8 + test8 = ContinuationTest( + [ + TestParams(duration=15, top_k=50, temperature=0.1, cfg_coef=3, description=DESCRIPTION), + TestParams(duration=30, top_k=50, temperature=0.2, cfg_coef=3, extend_stride=5), + TestParams(duration=30, top_k=50, temperature=0.3, cfg_coef=3, extend_stride=5) + ] + ) + #continuation_tests.append(test8) + + ### Test 9 + test9 = ContinuationTest( + [ + TestParams(duration=30, top_k=50, temperature=0.1, cfg_coef=3, description=DESCRIPTION), + TestParams(duration=30, top_k=50, temperature=0.1, cfg_coef=3, extend_stride=2), + TestParams(duration=30, top_k=50, temperature=0.1, cfg_coef=3, extend_stride=2) + ] + ) + #continuation_tests.append(test9) + + ### Test 10 + test10 = ContinuationTest( + [ + TestParams(duration=5, top_k=50, temperature=0.1, cfg_coef=3, description=DESCRIPTION), + TestParams(duration=10, top_k=50, temperature=0.1, cfg_coef=3, extend_stride=1), + TestParams(duration=15, top_k=50, temperature=0.1, cfg_coef=3, extend_stride=1) + ] + ) + #continuation_tests.append(test10) + + return continuation_tests + +def run_tests(): + torch.manual_seed(SEED) + random.seed(SEED) + np.random.seed(SEED) + + continuaiton_tests = set_tests() + + for idx, test in enumerate(continuaiton_tests): + idx_1 = idx+1 + test_path = SAVE_AUDIOS_PATH.joinpath(str(idx_1)) + + if not os.path.isdir(test_path): + os.makedirs(test_path) + + test.log(test_path.joinpath(f"{idx_1}_log.txt")) + test.run(test_path.joinpath(f"{idx_1}_audio"), idx_1) + +run_tests() \ No newline at end of file diff --git a/playground/scripts/long_gen.py b/playground/scripts/long_gen.py new file mode 100644 index 0000000..c82fd7a --- /dev/null +++ b/playground/scripts/long_gen.py @@ -0,0 +1,76 @@ +import pathlib +import os + +import torch + +from audiocraft.models import MusicGen +from audiocraft.data.audio import audio_write + +SCRIPTS_PATH = pathlib.Path(__file__).parent.resolve() +SAVE_AUDIOS_PATH = SCRIPTS_PATH.joinpath('audios') +PROMPT = 'Imagine a track that begins with a soft, mystical ambiance, capturing the essence of stepping into an epic fantasy world. Gentle strings and ethereal chimes create an air of anticipation, setting the stage for the grand adventure ahead. As the dungeon master welcomes the players, the music subtly swells, introducing a light, rhythmic pulse that hints at the excitement and challenges to come. This composition should evoke a sense of camaraderie and heroism, with melodic undertones that reflect the promise of epic quests and the bond between the adventurers. Perfect for immersing players into the magical world of Dungeons & Dragons right from the start of their campaign.' + +if not os.path.isdir(SAVE_AUDIOS_PATH): + os.mkdir(SAVE_AUDIOS_PATH) + +model = MusicGen.get_pretrained('facebook/musicgen-small') + +# For long generation just set duration for more than 30s. +# It will keep generating at most 30s and using extend_stride +# to know how much to extend the audio at each time, keeping +# the previously generated as context. +# A extend_stride=10 will generate 10s and keep 20 as context +model.set_generation_params( + use_sampling=True, + top_k=250, + duration=60, + extend_stride=10 +) + +output = model.generate( + descriptions=[PROMPT], + progress=True +) + +# Squeeze to eliminate the first dim which indicates how many audios were generated (useless for when only 1 is generated) +output_sqz = torch.squeeze(output, 0) + +audio_write(SAVE_AUDIOS_PATH.joinpath('long_audio'), output_sqz.cpu(), model.sample_rate, strategy="loudness", loudness_compressor=True) + +# ####################### _generate_tokens ####################### +# Started with prompt_length 0 +# stride_tokens 500 + +# While 0 < 3000 +# Generated size torch.Size([1, 4, 1500]) +# New prompt_length is 1000 +# New current_gen_offset is 500 +# ############### ALL TOKENS: ################## +# torch.Size([1, 4, 1500]) + +# While 1500 < 3000 +# Generated size torch.Size([1, 4, 1500]) +# New prompt_length is 1000 +# New current_gen_offset is 1000 +# ############### ALL TOKENS: ################## +# torch.Size([1, 4, 1500]) +# torch.Size([1, 4, 500]) + +# While 2000 < 3000 +# Generated size torch.Size([1, 4, 1500]) +# New prompt_length is 1000 +# New current_gen_offset is 1500 +# ############### ALL TOKENS: ################## +# torch.Size([1, 4, 1500]) +# torch.Size([1, 4, 500]) +# torch.Size([1, 4, 500]) + +# While 2500 < 3000 +# Generated size torch.Size([1, 4, 1500]) +# New prompt_length is 1000 +# New current_gen_offset is 2000 +# ############### ALL TOKENS: ################## +# torch.Size([1, 4, 1500]) +# torch.Size([1, 4, 500]) +# torch.Size([1, 4, 500]) +# torch.Size([1, 4, 500]) \ No newline at end of file diff --git a/playground/scripts/ollama_api_test.py b/playground/scripts/ollama_api_test.py new file mode 100644 index 0000000..9b5468a --- /dev/null +++ b/playground/scripts/ollama_api_test.py @@ -0,0 +1,29 @@ +#%% +import requests +import json +import os + +#%% +OLLAMA_ADDRES = os.environ['OLLAMA_ADDRES'] +print(OLLAMA_ADDRES) + +url = f"http://{OLLAMA_ADDRES}/api/chat" +payload = { + "model": "llama3.1:70b", + "stream": False, + "keep_alive":30, + "messages": [ + { "role": "user", "content": "why is the sky blue?" } + ] +} +headers = {} + +#%% +res = requests.post(url, json=payload, headers=headers) + +# %% +res_dict = json.loads(res.content.decode('utf-8')) +print(type(res_dict), res_dict) + +#%% +res_dict['message']['content'] \ No newline at end of file diff --git a/playground/scripts/skip_encodec_test.py b/playground/scripts/skip_encodec_test.py new file mode 100644 index 0000000..8a1bd9c --- /dev/null +++ b/playground/scripts/skip_encodec_test.py @@ -0,0 +1,328 @@ +from typing import List +import os +import pathlib +from time import perf_counter + +import torch +import random +import numpy as np + +from audiocraft.models import MusicGen +from audiocraft.data.audio import audio_write + +SEED = 2147483647 +SCRIPTS_PATH = pathlib.Path(__file__).parent.resolve() +SAVE_AUDIOS_PATH = SCRIPTS_PATH.joinpath('continuation_test_audios') +DESCRIPTION = ['Imagine a track that begins with a soft, mystical ambiance, capturing the essence of stepping into an epic fantasy world. Gentle strings and ethereal chimes create an air of anticipation, setting the stage for the grand adventure ahead. As the dungeon master welcomes the players, the music subtly swells, introducing a light, rhythmic pulse that hints at the excitement and challenges to come. This composition should evoke a sense of camaraderie and heroism, with melodic undertones that reflect the promise of epic quests and the bond between the adventurers. Perfect for immersing players into the magical world of Dungeons & Dragons right from the start of their campaign.'] + +print('cuda.is_available:', torch.cuda.is_available()) + +class TestParams(): + def __init__(self, use_sampling: bool = True, top_k: int = 250, + top_p: float = 0.0, temperature: float = 1.0, + duration: float = 30.0, cfg_coef: float = 3.0, + two_step_cfg: bool = False, extend_stride: float = 18, + cut_prompt:bool=False, description=None): + """ + cut_prompt = If true prompt will be the overlap size (30-extend_strid). + Otherwise the prompt will be cutted off to 29s (the maximum allowed) if needed. + """ + self.use_sampling = use_sampling + self.top_k = top_k + self.top_p = top_p + self.temperature = temperature + self.duration = duration + self.cfg_coef = cfg_coef + self.two_step_cfg = two_step_cfg + self.extend_stride = extend_stride + self.cut_prompt = cut_prompt + self.description = description + + def __repr__(self): + return f"use_sampling={self.use_sampling}, \ntop_k={self.top_k}, \ntop_p={self.top_p}, \ntemperature={self.temperature}, \nduration={self.duration}, \ncfg_coef={self.cfg_coef}, \nextend_stride={self.extend_stride}, \ncut_prompt={self.cut_prompt}, \ndescription={self.description} \n" + +class ContinuationTest(): + def __init__(self, test_params_list: List[TestParams]) -> None: + self.test_params_list = test_params_list + + def log(self, path): + lines = [] + + for test_param in self.test_params_list: + lines.append(str(test_param)) + + with open(path, 'a') as file: + for line in lines: + file.write(line+'\n') + + def run(self, path:pathlib.Path, idx:int): + + model = MusicGen.get_pretrained('facebook/musicgen-small') + previous_out = None + previous_tokens = None + + test_output = None + test_tokens = None + + print("################ STARTING TEST:", idx) + for test_param in self.test_params_list: + start_test = perf_counter() + + model.set_generation_params( + use_sampling = test_param.use_sampling, + top_k = test_param.top_k, + top_p = test_param.top_p, + temperature = test_param.temperature, + duration = test_param.duration, + cfg_coef = test_param.cfg_coef, + two_step_cfg = test_param.two_step_cfg, + extend_stride = test_param.extend_stride + ) + + if previous_out == None: + print("Previous was none so generating") + previous_out, previous_tokens = model.generate( + descriptions=test_param.description, + return_tokens=True, + progress=True + ) + else: + print("Previous had shape", previous_out.shape, previous_tokens.shape) + + if test_param.cut_prompt: + overlap = model.duration - model.extend_stride + previous_out = previous_out[:, :, -overlap*model.sample_rate:] + previous_tokens = previous_tokens[:, :, -overlap*model.frame_rate:] + print("Cutted to overlap size", previous_out.shape, previous_tokens.shape) + + if previous_out.shape[-1] >= model.sample_rate * model.duration: + # Cut 1 second + previous_out = previous_out[:, :, -29*model.sample_rate:] + previous_tokens = previous_tokens[:, :, -29*model.frame_rate:] + print("Cutted 1 sec", previous_out.shape, previous_tokens.shape) + + previous_tokens = previous_tokens.to(model.device) + previous_out = model.generate_continuation( + previous_out, + my_prompt_tokens= previous_tokens, + prompt_sample_rate = model.sample_rate, + descriptions=[test_param.description], + progress=True + ) + + print("Generated continuation with shape", previous_out.shape) + + end_test = perf_counter() + print(f"It took {(end_test-start_test):>2f}seconds") + + if test_output == None: + test_output = previous_out + test_tokens = previous_tokens + else: + test_output = torch.cat((test_output, previous_out), dim=2) + test_tokens = torch.cat((test_tokens, previous_tokens), dim=2) + print("Test output currently has shape", test_output.shape) + print() + + test_output = torch.squeeze(test_output, 0) + audio_write(path, test_output.cpu(), model.sample_rate, strategy="loudness", loudness_compressor=True) + + test_tokens = model.generate_audio(test_tokens) + test_tokens = torch.squeeze(test_tokens, 0) + audio_write(str(path)+'_from_tokens', test_tokens.cpu(), model.sample_rate, strategy="loudness", loudness_compressor=True) + +# top_k == 100 looks fine. +# Lowering the temperature is not a good idea. +# Lowering extend_stride doesn't seem to have much effect. +def set_tests() -> List[ContinuationTest]: + continuation_tests = [] + + ### Test 1 + test1 = ContinuationTest( + [ + TestParams(duration=30, description=DESCRIPTION, cut_prompt=True), + TestParams(duration=30, extend_stride=10, cut_prompt=True), + ] + ) + continuation_tests.append(test1) + # Previous was none so generating + + # ####################### _generate_tokens ####################### + # Started with prompt_length 0 + # frame_rate 50 extend_stride 18 + + # While 0 < 2000 + # Generated size torch.Size([1, 4, 1500]) + # New prompt_length is 600 + # New current_gen_offset is 900 + # ############### ALL TOKENS: ################## + # torch.Size([1, 4, 1500]) + + # While 1500 < 2000 + # Generated size torch.Size([1, 4, 1100]) + # New prompt_length is 200 + # New current_gen_offset is 1800 + # ############### ALL TOKENS: ################## + # torch.Size([1, 4, 1500]) + # torch.Size([1, 4, 500]) + # It took 780.3322400280013 seconds + # Test output currently has shape torch.Size([1, 1, 1280000]) + + # Previous had shape torch.Size([1, 1, 1280000]) + # Cutted 1 sec torch.Size([1, 1, 928000]) + + # ####################### _generate_tokens ####################### + # Started with prompt_length 1450 + # frame_rate 50 extend_stride 10 + + # While 1450 < 2000 + # Generated size torch.Size([1, 4, 1500]) + # New prompt_length is 1000 + # New current_gen_offset is 500 + # ############### ALL TOKENS: ################## + # torch.Size([1, 4, 1450]) + # torch.Size([1, 4, 50]) + + # While 1500 < 2000 + # Generated size torch.Size([1, 4, 1500]) + # New prompt_length is 1000 + # New current_gen_offset is 1000 + # ############### ALL TOKENS: ################## + # torch.Size([1, 4, 1450]) + # torch.Size([1, 4, 50]) + # torch.Size([1, 4, 500]) + # Generated continuation with shape torch.Size([1, 1, 1280000]) + # It took 286.5574772749969 seconds + # Test output currently has shape torch.Size([1, 1, 2560000]) + + # Previous had shape torch.Size([1, 1, 1280000]) + # Cutted 1 sec torch.Size([1, 1, 928000]) + + # ####################### _generate_tokens ####################### + # Started with prompt_length 1450 + # frame_rate 50 extend_stride 10 + + # While 1450 < 2000 + # Generated size torch.Size([1, 4, 1500]) + # New prompt_length is 1000 + # New current_gen_offset is 500 + # ############### ALL TOKENS: ################## + # torch.Size([1, 4, 1450]) + # torch.Size([1, 4, 50]) + + # While 1500 < 2000 + # Generated size torch.Size([1, 4, 1500]) + # New prompt_length is 1000 + # New current_gen_offset is 1000 + # ############### ALL TOKENS: ################## + # torch.Size([1, 4, 1450]) + # torch.Size([1, 4, 50]) + # torch.Size([1, 4, 500]) + # Generated continuation with shape torch.Size([1, 1, 1280000]) + # It took 286.1960641080004 seconds + # Test output currently has shape torch.Size([1, 1, 3840000]) + + ### Test 2 + test2 = ContinuationTest( + [ + TestParams(duration=15, top_k=100, description=DESCRIPTION), + TestParams(duration=30, top_k=100, extend_stride=5) + ] + ) + #continuation_tests.append(test2) + + ### Test 3 + test3 = ContinuationTest( + [ + TestParams(duration=15, top_k=100, temperature=0.5, description=DESCRIPTION), + TestParams(duration=30, top_k=100, temperature=0.5, extend_stride=5) + ] + ) + #continuation_tests.append(test3) + + ### Test 4 + test4 = ContinuationTest( + [ + TestParams(duration=15, top_k=100, temperature=0, description=DESCRIPTION), + TestParams(duration=30, top_k=100, temperature=0, extend_stride=5) + ] + ) + #continuation_tests.append(test4) + + ### Test 5 + test5 = ContinuationTest( + [ + TestParams(duration=15, top_k=100, temperature=0, cfg_coef=1, description=DESCRIPTION), + TestParams(duration=30, top_k=100, temperature=0, cfg_coef=1, extend_stride=5) + ] + ) + #continuation_tests.append(test5) + + ### Test 6 + test6 = ContinuationTest( + [ + TestParams(duration=15, top_p=0.1, temperature=0, cfg_coef=1, description=DESCRIPTION), + TestParams(duration=30, top_p=0.1, temperature=0, cfg_coef=1, extend_stride=5) + ] + ) + #continuation_tests.append(test6) + + ### Test 7 + test7 = ContinuationTest( + [ + TestParams(duration=15, top_p=0.5, temperature=0, cfg_coef=1, description=DESCRIPTION), + TestParams(duration=30, top_p=0.5, temperature=0, cfg_coef=1, extend_stride=5) + ] + ) + #continuation_tests.append(test7) + + ### Test 8 + test8 = ContinuationTest( + [ + TestParams(duration=15, top_k=50, temperature=0.1, cfg_coef=3, description=DESCRIPTION), + TestParams(duration=30, top_k=50, temperature=0.2, cfg_coef=3, extend_stride=5), + TestParams(duration=30, top_k=50, temperature=0.3, cfg_coef=3, extend_stride=5) + ] + ) + #continuation_tests.append(test8) + + ### Test 9 + test9 = ContinuationTest( + [ + TestParams(duration=30, top_k=50, temperature=0.1, cfg_coef=3, description=DESCRIPTION), + TestParams(duration=30, top_k=50, temperature=0.1, cfg_coef=3, extend_stride=2), + TestParams(duration=30, top_k=50, temperature=0.1, cfg_coef=3, extend_stride=2) + ] + ) + #continuation_tests.append(test9) + + ### Test 10 + test10 = ContinuationTest( + [ + TestParams(duration=5, top_k=50, temperature=0.1, cfg_coef=3, description=DESCRIPTION), + TestParams(duration=10, top_k=50, temperature=0.1, cfg_coef=3, extend_stride=1), + TestParams(duration=15, top_k=50, temperature=0.1, cfg_coef=3, extend_stride=1) + ] + ) + #continuation_tests.append(test10) + + return continuation_tests + +def run_tests(): + torch.manual_seed(SEED) + random.seed(SEED) + np.random.seed(SEED) + + continuaiton_tests = set_tests() + + for idx, test in enumerate(continuaiton_tests): + idx_1 = idx+1 + test_path = SAVE_AUDIOS_PATH.joinpath(str(idx_1)) + + if not os.path.isdir(test_path): + os.makedirs(test_path) + + test.log(test_path.joinpath(f"{idx_1}_log.txt")) + test.run(test_path.joinpath(f"{idx_1}_audio"), idx_1) + +run_tests() \ No newline at end of file diff --git a/project.toml b/project.toml new file mode 100644 index 0000000..a069e0c --- /dev/null +++ b/project.toml @@ -0,0 +1,8 @@ +[build-system] +requires = ["setuptools>=61.0"] +build-backend = "setuptools.build_meta" + +[tool.pytest.ini_options] +pythonpath = [ + "src" +] \ No newline at end of file diff --git a/requirements.txt b/requirements.txt new file mode 100644 index 0000000..655d9f3 --- /dev/null +++ b/requirements.txt @@ -0,0 +1,208 @@ +aiofiles==23.2.1 +annotated-types==0.7.0 +antlr4-python3-runtime==4.9.3 +anyio==4.4.0 +asttokens==2.4.1 +audiocraft==1.3.0 +audioread==3.0.1 +av==11.0.0 +blis==0.7.11 +braceexpand==0.1.7 +catalogue==2.0.10 +certifi==2024.7.4 +cffi==1.16.0 +charset-normalizer==3.3.2 +click==8.1.7 +cloudpathlib==0.18.1 +cloudpickle==3.0.0 +colorlog==6.8.2 +comm==0.2.2 +confection==0.1.5 +contourpy==1.2.1 +cycler==0.12.1 +cymem==2.0.8 +debugpy==1.8.2 +decorator==4.4.2 +demucs==4.0.1 +dnspython==2.6.1 +docker-pycreds==0.4.0 +docopt==0.6.2 +dora_search==0.1.12 +einops==0.8.0 +email_validator==2.2.0 +encodec==0.1.1 +essentia==2.1b6.dev1110 +exceptiongroup==1.2.2 +executing==2.0.1 +fastapi==0.111.1 +fastapi-cli==0.0.4 +ffmpeg==1.4 +ffmpeg-python==0.2.0 +ffmpy==0.4.0 +filelock==3.15.4 +fire==0.6.0 +flashy==0.0.2 +fonttools==4.53.1 +fsspec==2024.6.1 +ftfy==6.2.3 +future==1.0.0 +gitdb==4.0.11 +GitPython==3.1.43 +gradio==4.40.0 +gradio_client==1.2.0 +h11==0.14.0 +h5py==3.11.0 +hear21passt==0.0.26 +httpcore==1.0.5 +httptools==0.6.1 +httpx==0.27.0 +huggingface-hub==0.24.5 +hydra-colorlog==1.2.0 +hydra-core==1.3.2 +idna==3.7 +imageio==2.35.1 +imageio-ffmpeg==0.5.1 +importlib_resources==6.4.0 +ipykernel==6.29.5 +ipython==8.26.0 +ipywidgets==8.1.5 +jedi==0.19.1 +Jinja2==3.1.4 +joblib==1.4.2 +julius==0.2.7 +jupyter_client==8.6.2 +jupyter_core==5.7.2 +jupyterlab_widgets==3.0.13 +kiwisolver==1.4.5 +laion_clap==1.1.5 +lameenc==1.7.0 +langcodes==3.4.0 +language_data==1.2.0 +lazy_loader==0.4 +librosa==0.10.2.post1 +lightning-utilities==0.11.6 +llvmlite==0.43.0 +marisa-trie==1.2.0 +markdown-it-py==3.0.0 +MarkupSafe==2.1.5 +matplotlib==3.9.1 +matplotlib-inline==0.1.7 +mdurl==0.1.2 +moviepy==1.0.3 +mpmath==1.3.0 +msgpack==1.0.8 +murmurhash==1.0.10 +nest-asyncio==1.6.0 +networkx==3.3 +num2words==0.5.13 +numba==0.60.0 +numpy==1.23.4 +nvidia-cublas-cu12==12.1.3.1 +nvidia-cuda-cupti-cu12==12.1.105 +nvidia-cuda-nvrtc-cu12==12.1.105 +nvidia-cuda-runtime-cu12==12.1.105 +nvidia-cudnn-cu12==8.9.2.26 +nvidia-cufft-cu12==11.0.2.54 +nvidia-curand-cu12==10.3.2.106 +nvidia-cusolver-cu12==11.4.5.107 +nvidia-cusparse-cu12==12.1.0.106 +nvidia-nccl-cu12==2.18.1 +nvidia-nvjitlink-cu12==12.6.20 +nvidia-nvtx-cu12==12.1.105 +omegaconf==2.3.0 +openunmix==1.3.0 +orjson==3.10.6 +packaging==24.1 +pandas==2.2.2 +parso==0.8.4 +pexpect==4.9.0 +pillow==10.4.0 +platformdirs==4.2.2 +pooch==1.8.2 +preshed==3.0.9 +proglog==0.1.10 +progressbar==2.5 +prompt_toolkit==3.0.47 +protobuf==5.27.3 +psutil==6.0.0 +ptyprocess==0.7.0 +pure_eval==0.2.3 +pycparser==2.22 +pydantic==2.8.2 +pydantic_core==2.20.1 +pydub==0.25.1 +Pygments==2.18.0 +pyparsing==3.1.2 +python-dateutil==2.9.0.post0 +python-dotenv==1.0.1 +python-multipart==0.0.9 +pytubefix==6.13.0 +pytz==2024.1 +PyYAML==6.0.1 +pyzmq==26.0.3 +regex==2024.7.24 +requests==2.32.3 +resampy==0.4.3 +retrying==1.3.4 +rich==13.7.1 +ruff==0.5.5 +safetensors==0.4.3 +scikit-learn==1.5.1 +scipy==1.10.1 +semantic-version==2.10.0 +sentencepiece==0.2.0 +sentry-sdk==2.13.0 +setproctitle==1.3.3 +shellingham==1.5.4 +six==1.16.0 +smart-open==7.0.4 +smmap==5.0.1 +sniffio==1.3.1 +soundfile==0.12.1 +soxr==0.4.0 +spacy==3.7.5 +spacy-legacy==3.0.12 +spacy-loggers==1.0.5 +srsly==2.4.8 +stack-data==0.6.3 +starlette==0.37.2 +submitit==1.5.1 +sympy==1.13.1 +termcolor==2.4.0 +text-unidecode==1.3 +thinc==8.2.5 +threadpoolctl==3.5.0 +timm==1.0.9 +tokenizers==0.19.1 +tomlkit==0.12.0 +torch==2.1.0 +torchaudio==2.1.0 +torchdata==0.7.0 +torchlibrosa==0.1.0 +torchmetrics==1.4.0.post0 +torchtext==0.16.0 +torchvision==0.16.0 +tornado==6.4.2 +tqdm==4.66.4 +traitlets==5.14.3 +transformers==4.44.2 +treetable==0.2.5 +triton==2.1.0 +typer==0.12.3 +typing_extensions==4.12.2 +tzdata==2024.1 +urllib3==2.2.2 +uvicorn==0.30.4 +uvloop==0.19.0 +wandb==0.17.8 +wasabi==1.1.3 +watchfiles==0.22.0 +wcwidth==0.2.13 +weasel==0.4.1 +webdataset==0.2.96 +websockets==12.0 +wget==3.2 +widgetsnbextension==4.0.13 +wrapt==1.16.0 +xformers==0.0.22.post7 +youtube-transcript-api==0.6.2 diff --git a/setup.cfg b/setup.cfg new file mode 100644 index 0000000..8f917f5 --- /dev/null +++ b/setup.cfg @@ -0,0 +1,2 @@ +[metadata] +license_files = LICENSE.txt \ No newline at end of file diff --git a/setup.py b/setup.py new file mode 100644 index 0000000..e552500 --- /dev/null +++ b/setup.py @@ -0,0 +1,53 @@ +from pathlib import Path +from setuptools import find_packages, setup + +with open("README.md", 'r') as file: + long_description = file.read() + +HERE = Path(__file__).parent + +REQUIRED = [i.strip() for i in open(HERE / 'requirements.txt') if not i.startswith('#')] + +setup( + name="babel_bardo", + # Versions should comply with PEP 440: + # https://www.python.org/dev/peps/pep-0440/ + # + # For a discussion on single-sourcing the version across setup.py and the + # project code, see + # https://packaging.python.org/guides/single-sourcing-package-version/ + version="0.0.1", + description="Babel-Bardo", + long_description=long_description, + long_description_content_type="text/markdown", + url="https://github.com/FelipeMarra/babel-bardo", + author="Felipe Ferreira Marra et al", + author_email="felipeferreiramarra@gmail.com", + # Classifiers help users find your project by categorizing it. + # + # For a list of valid classifiers, see https://pypi.org/classifiers/ + classifiers=[ # Optional + # How mature is this project? Common values are + # 3 - Alpha + # 4 - Beta + # 5 - Production/Stable + "Development Status :: 3 - Alpha", + "Intended Audience :: Developers", + "Topic :: Scientific/Engineering :: Artificial Intelligence", + "License :: OSI Approved :: MIT License", + ], + keywords="generative, ai, model, music", + package_dir={"": "src"}, + packages=find_packages(where="src"), + python_requires=">=3.8.0", + install_requires=REQUIRED, + extras_require={ + "dev": ['pytest'], + }, + project_urls={ # Optional + "Bug Reports": "https://github.com/FelipeMarra/babel-bardo/issues", + # "Funding": "https://donate.pypi.org", + # "Say Thanks!": "http://saythanks.io/to/example", + "Source": "https://github.com/FelipeMarra/babel-bardo", + }, +) \ No newline at end of file diff --git a/src/__init__.py b/src/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/src/babel_bardo/__init__.py b/src/babel_bardo/__init__.py new file mode 100644 index 0000000..45fe407 --- /dev/null +++ b/src/babel_bardo/__init__.py @@ -0,0 +1,7 @@ +from babel_bardo.constants import * +from babel_bardo.transcript_iter import TranscriptIter +from babel_bardo.bardo import Bardo +from babel_bardo.ollama_api import OllamaChat, OllamaType, PromptConfig +from babel_bardo.video_manager import fit_audio_in_video +from babel_bardo.templates import * +from babel_bardo.eval_metrics import * \ No newline at end of file diff --git a/src/babel_bardo/bardo.py b/src/babel_bardo/bardo.py new file mode 100644 index 0000000..3576068 --- /dev/null +++ b/src/babel_bardo/bardo.py @@ -0,0 +1,143 @@ +import os +from copy import deepcopy +import random + +import argparse + +from .transcript_iter import TranscriptIter +from .music_gen_bypass import generate_bypass, generate_continuation_bypass, encodec_tailfade +from .ollama_api import OllamaChat, OllamaType +from .constants import * +from.log import clear_log, write_log_header, write_log_description +from .templates import BardoTemplate + +import numpy as np +import torch +from audiocraft.models import MusicGen +from audiocraft.data.audio import audio_write + +from tqdm import tqdm + +class Bardo(): + def __init__(self, template:BardoTemplate, model:MusicGen|None=None) -> None: + self.t = template + + self._create_dir_structure() + + clear_log(self.t.log_file) + write_log_header(self.t.log_file, self.t.log_header, self.t.prompt_config) + print(str(self.t.prompt_config)) + + # Set seed + self.seed = random.randint(0, 2**32 - 1) if self.t.seed == None else self.t.seed + print("Using seed:", self.seed, "for MusicGen & Ollama") + torch.manual_seed(self.seed) + random.seed(self.seed) + np.random.seed(self.seed) + + # Setup Ollama + if self.t.ollama_type != OllamaType.NONE: + self.ollama_chat = OllamaChat(self.seed) + + if self.t.prompt_config.setup != "": + # To set a setup prompt Ollama must be in CHAT mode + assert self.t.ollama_type == OllamaType.CHAT + + self.ollama_chat.send(self.t.prompt_config.setup, setup=True) + print("Setted Ollama prompt") + + # Setup MusicGen + if model == None: + self._set_model() + else: + self.model = model + + def _set_model(self): + self.model = MusicGen.get_pretrained(MODEL) + self.model.set_generation_params( + duration=DURATION, + extend_stride=EXTEND_STRIDE + ) + + def _create_dir_structure(self): + for dir in self.t.dirs_to_create: + if not os.path.isdir(dir): + os.makedirs(dir) + + def _parser(self): + parser = argparse.ArgumentParser() + + parser.add_argument("-cc", "--ClearCache", help = "Clears the transcripts cache", action='store_true') + + args = parser.parse_args() + + if args.ClearCache: + TranscriptIter.clear_transcript_cache() + + def play(self, save_every:int=-1): + self._parser() + + t_iter = TranscriptIter(self.t.video_id, start_time=self.t.start_time, end_time=self.t.end_time, language=self.t.language) + overlap = self.model.duration - self.model.extend_stride + + previous_tokens = None + previous_wav = None + + tqdm_iter = tqdm(enumerate(t_iter), total=len(t_iter), desc=f"Generating Songs For Video {t_iter.video_id}") + + for idx, description in tqdm_iter: + frases, _ = description + + if self.t.ollama_type != OllamaType.NONE: + text_prompt = self.ollama_chat.send(frases) + text_prompt = text_prompt.strip('\"') + text_prompt = self.t.prompt_config.start + text_prompt + self.t.prompt_config.end + else: + text_prompt = self.t.prompt_config.start + frases + self.t.prompt_config.end + + if text_prompt == "CONTINUE.": + tqdm.write('Received a "CONTINUE." command, sending text_prompt=None') + text_prompt=None + + tqdm.write(f"\nGenerating idx {idx} \nText Prompt: {text_prompt}") + + if idx == 0: + current_tokens = generate_bypass( + self.model, + descriptions=[text_prompt], + progress=True + ) + else: + previous_overlap = previous_tokens[:, :, -overlap*self.model.frame_rate:] + + current_tokens = generate_continuation_bypass( + self.model, + previous_overlap, + descriptions=[text_prompt], + prompt_sample_rate = self.model.sample_rate, + progress=True + ) + + write_log_description(self.model, self.t.log_file, frases, text_prompt, idx, self.t.start_time, tqdm_iter) + + # Concatenate outputs + if previous_wav == None: + # We're gonna play 29s and save 1s as crossfade + previous_wav = self.model.generate_audio(current_tokens)[:, :, :-CROSSFADE_DURATION*self.model.sample_rate] + else: + # Decode the current tokens with tailfade, getting context from the previous ones + current_wav = encodec_tailfade(self.model, CROSSFADE_DURATION, previous_tokens, current_tokens) + # Join the wav generated until now with the audio from previous_tokens+current_tokens + previous_wav = torch.cat((previous_wav, current_wav), dim=2) + + if save_every > 0 and (idx+1) % save_every == 0: + partial_wav = torch.squeeze(previous_wav, 0) + save_every_path = os.path.join(self.t.generated_audio_file_no_ext+'_partial', str(idx)) + audio_write(save_every_path, partial_wav.cpu(), self.model.sample_rate, strategy="loudness", loudness_compressor=True) + + # Update previous tokens + previous_tokens = deepcopy(current_tokens) + + # Save concatenated outputs + previous_wav = torch.squeeze(previous_wav, 0) + audio_write(self.t.generated_audio_file_no_ext, previous_wav.cpu(), self.model.sample_rate, strategy="loudness", loudness_compressor=True) diff --git a/src/babel_bardo/cache/transcripts/Pf4HzTdA2WE.json b/src/babel_bardo/cache/transcripts/Pf4HzTdA2WE.json new file mode 100644 index 0000000..5d5a5fb --- /dev/null +++ b/src/babel_bardo/cache/transcripts/Pf4HzTdA2WE.json @@ -0,0 +1 @@ +[{"text": "\u00e9 muito boa noite senhoras e senhores", "start": 0.0, "duration": 6.27}, {"text": "sejam muito bem vindos ao primeiro", "start": 2.46, "duration": 7.62}, {"text": "epis\u00f3dio e o Segredo na ilha eu sou", "start": 6.27, "duration": 6.21}, {"text": "Cellbit eu sou o criador de ordem parar", "start": 10.08, "duration": 4.2}, {"text": "na m\u00e3o e pedir que \u00e9 onde essa hist\u00f3ria", "start": 12.48, "duration": 3.54}, {"text": "Universo em que essa hist\u00f3ria vai se", "start": 14.28, "duration": 4.169}, {"text": "passar e o que a gente vai fazer hoje \u00e9", "start": 16.02, "duration": 4.65}, {"text": "jogar um RPG ou impedindo jogo de", "start": 18.449, "duration": 4.32}, {"text": "interpreta\u00e7\u00e3o \u00e9 basicamente como se", "start": 20.67, "duration": 4.31}, {"text": "tivesse passado os \u00faltimos cinco meses", "start": 22.769, "duration": 4.68}, {"text": "criando um videogame que a gente vai", "start": 24.98, "duration": 5.619}, {"text": "jogar ao vivo agora mas eu n\u00e3o jogo isso", "start": 27.449, "duration": 5.261}, {"text": "sozinho", "start": 30.599, "duration": 4.451}, {"text": "Ol\u00e1 eu sou s\u00f3 o narrador desta hist\u00f3ria", "start": 32.71, "duration": 5.189}, {"text": "s\u00f3 que os problemas s\u00f3 que os mist\u00e9rios", "start": 35.05, "duration": 6.84}, {"text": "os enigmas quem de fato vai viver essa", "start": 37.899, "duration": 6.361}, {"text": "aventura s\u00e3o os meus amigos que s\u00e3o os", "start": 41.89, "duration": 4.47}, {"text": "protagonistas desta hist\u00f3ria muito voar", "start": 44.26, "duration": 7.079}, {"text": "oi a\u00ed falou a\u00ed gente como certid\u00e3o a t\u00f4", "start": 46.36, "duration": 7.56}, {"text": "meio triste eu t\u00f4 com pressa t\u00e1 eu vou", "start": 51.339, "duration": 5.07}, {"text": "me levantar e foi embora da tabela Calma", "start": 53.92, "duration": 5.459}, {"text": "ela est\u00e1 feliz mas muita divers\u00e3o muita", "start": 56.409, "duration": 7.051}, {"text": "divers\u00e3o \u00e9 espera mana alegria temporada", "start": 59.379, "duration": 5.401}, {"text": "a gente tem a gente conseguir acabar com", "start": 63.46, "duration": 6.079}, {"text": "voc\u00ea voc\u00ea t\u00e1 feliz n\u00e9 um sorriso amigo", "start": 64.78, "duration": 7.5}, {"text": "tem muitos rostos novos aqui a\u00ed eu vou", "start": 69.539, "duration": 3.731}, {"text": "pedir para cada um de voc\u00eas se", "start": 72.28, "duration": 3.47}, {"text": "apresentar mas por voc\u00ea quem \u00e9 voc\u00ea", "start": 73.27, "duration": 6.14}, {"text": "Google Google", "start": 75.75, "duration": 3.66}, {"text": "eu sou um cara que faz coisa na internet", "start": 80.07, "duration": 4.469}, {"text": "a\u00ed a\u00ed", "start": 82.119, "duration": 4.981}, {"text": "eu sempre me chamou o dinheiro para ele", "start": 84.539, "duration": 4.021}, {"text": "t\u00e1 a\u00ed e", "start": 87.1, "duration": 5.54}, {"text": "\u00e9 isso foi surpresa e", "start": 88.56, "duration": 4.08}, {"text": "oi oi", "start": 92.72, "duration": 5.22}, {"text": "eu s\u00f3 vi a m\u00e3o eu sou cantora", "start": 93.55, "duration": 5.91}, {"text": "compositora", "start": 97.94, "duration": 5.49}, {"text": "streamer fa\u00e7o tudo e na internet e hoje", "start": 99.46, "duration": 6.37}, {"text": "vai ser ali e hoje voc\u00ea \u00e9 o dele t\u00e1", "start": 103.43, "duration": 6.59}, {"text": "vendo voc\u00eas dois obrigada obrigada", "start": 105.83, "duration": 7.19}, {"text": "Gabi", "start": 110.02, "duration": 3.0}, {"text": "[M\u00fasica]", "start": 113.96, "duration": 3.23}, {"text": "Ent\u00e3o eu vou passar a", "start": 119.17, "duration": 3.69}, {"text": "gente j\u00e1 esteve l\u00e1 atr\u00e1s tirando fotos e", "start": 131.77, "duration": 8.46}, {"text": "agora est\u00e1 assim olha que coisa louca n\u00e9", "start": 136.34, "duration": 7.4}, {"text": "muito animado A", "start": 140.23, "duration": 6.55}, {"text": "pergunta \u00e9 um crescimento fazer faltavam", "start": 143.74, "duration": 4.93}, {"text": "saudade arrepende Esse \u00e9 o m\u00e1ximo de", "start": 146.78, "duration": 3.03}, {"text": "tempo que a gente ficou sem qualquer", "start": 148.67, "duration": 4.06}, {"text": "coisa qualquer refrigerado voc\u00ea for 17", "start": 149.81, "duration": 5.789}, {"text": "h\u00e1 seis meses sem RPG", "start": 152.73, "duration": 5.52}, {"text": "e lembrar lembrar que o segredo a\u00ed", "start": 155.599, "duration": 4.301}, {"text": "apesar de se passar no universo de \u00f3leo", "start": 158.25, "duration": 4.17}, {"text": "para normal e usar o nosso sistema de", "start": 159.9, "duration": 4.86}, {"text": "regras que t\u00e1 se a gente est\u00e1 prestes a", "start": 162.42, "duration": 5.48}, {"text": "lan\u00e7ar a \u00e9 uma hist\u00f3ria completamente", "start": 164.76, "duration": 5.43}, {"text": "separada todas as personagens s\u00e3o novos", "start": 167.9, "duration": 4.869}, {"text": "ent\u00e3o se voc\u00ea nunca assistiu nenhum RPG", "start": 170.19, "duration": 4.859}, {"text": "ser muito bem-vindo eu espero que voc\u00ea", "start": 172.769, "duration": 4.47}, {"text": "se apaixone por esse universo assim como", "start": 175.049, "duration": 4.401}, {"text": "a gente \u00e9 apaixonado", "start": 177.239, "duration": 6.271}, {"text": "dito isso vamos pela primeira vez para", "start": 179.45, "duration": 8.2}, {"text": "nossa abertura e quando a gente voltar a", "start": 183.51, "duration": 6.63}, {"text": "gente vai estar direto no universo e o", "start": 187.65, "duration": 6.01}, {"text": "Segredo na ilha vambora", "start": 190.14, "duration": 6.21}, {"text": "E a\u00ed", "start": 193.66, "duration": 2.69}, {"text": "E a\u00ed", "start": 197.43, "duration": 2.21}, {"text": "E a\u00ed", "start": 209.44, "duration": 4.75}, {"text": "[M\u00fasica]", "start": 211.1, "duration": 3.09}, {"text": "E a\u00ed", "start": 223.819, "duration": 3.0}, {"text": "E a\u00ed", "start": 227.45, "duration": 2.06}, {"text": "[M\u00fasica]", "start": 230.45, "duration": 4.87}, {"text": "e o Paranormal", "start": 237.67, "duration": 5.64}, {"text": "e n\u00e3o vem para a nossa realidade", "start": 239.88, "duration": 5.55}, {"text": "e agora n\u00e3o n\u00e3o existe", "start": 243.31, "duration": 4.6}, {"text": "as hist\u00f3rias sobrenaturais", "start": 245.43, "duration": 6.59}, {"text": "eu sou s\u00f3 inven\u00e7\u00e3o lindas historinhas de", "start": 247.91, "duration": 6.23}, {"text": "filmes Jogos livros", "start": 252.02, "duration": 5.939}, {"text": "o mundo tem uma base de regras l\u00f3gica e", "start": 254.14, "duration": 5.409}, {"text": "tudo que \u00e9 bizarro pode ser", "start": 257.959, "duration": 4.701}, {"text": "eventualmente explicado cientificamente", "start": 259.549, "duration": 6.351}, {"text": "o Ou pelo menos isso que voc\u00eas", "start": 262.66, "duration": 7.43}, {"text": "acreditaram at\u00e9 hoje e voc\u00eas viveram as", "start": 265.9, "duration": 6.59}, {"text": "vidas de voc\u00eas na realidade Voc\u00eas", "start": 270.09, "duration": 4.43}, {"text": "nasceram cresceram estudaram trabalharam", "start": 272.49, "duration": 6.88}, {"text": "pro viram vidas completamente normais", "start": 274.52, "duration": 6.79}, {"text": "Ah mas essa", "start": 279.37, "duration": 5.78}, {"text": "n\u00e3o \u00e9 uma hist\u00f3ria normal", "start": 281.31, "duration": 6.9}, {"text": "e essa \u00e9 uma hist\u00f3ria de segredos", "start": 285.15, "duration": 7.25}, {"text": "\u00f3 e todo mundo tem um segredo \u00e9", "start": 288.21, "duration": 7.16}, {"text": "e a gente come\u00e7a num barco no meio do", "start": 292.4, "duration": 3.93}, {"text": "oceano", "start": 295.37, "duration": 4.44}, {"text": "se voc\u00ea escuta sons de ondas batendo", "start": 296.33, "duration": 6.179}, {"text": "contra o casco e consegue ver o sol os", "start": 299.81, "duration": 5.5}, {"text": "raios de sol nascendo", "start": 302.509, "duration": 5.461}, {"text": "t\u00e1 entrando pela janela do seu quarto", "start": 305.31, "duration": 5.46}, {"text": "voc\u00ea n\u00e3o tem certeza quantas horas se", "start": 307.97, "duration": 4.09}, {"text": "passaram desde que voc\u00ea pegou no sono", "start": 310.77, "duration": 4.32}, {"text": "uma dessas camas de beliche mas ele fica", "start": 312.06, "duration": 4.98}, {"text": "realmente muito mais desconfort\u00e1vel do", "start": 315.09, "duration": 4.47}, {"text": "que o colch\u00e3o da sua cama a\u00ed de uma", "start": 317.04, "duration": 6.27}, {"text": "figura encapuzada se levantando e agora", "start": 319.56, "duration": 5.55}, {"text": "vou pedir para o Goulart de escrever", "start": 323.31, "duration": 6.06}, {"text": "para mim como \u00e9 o olho vier Louren\u00e7o bom", "start": 325.11, "duration": 7.23}, {"text": "por exemplo esse esse cara a\u00ed que est\u00e3o", "start": 329.37, "duration": 4.56}, {"text": "vendo que era bem b\u00e1sico de estatura", "start": 332.34, "duration": 4.32}, {"text": "m\u00e9dia a\u00ed ele tem cabelo castanho olhos", "start": 333.93, "duration": 5.31}, {"text": "verdes e uma luva na m\u00e3o esquerda Ele", "start": 336.66, "duration": 4.26}, {"text": "n\u00e3o curte usar muito a manga da esquerda", "start": 339.24, "duration": 4.89}, {"text": "tamb\u00e9m e ele tem claramente uma cara de", "start": 340.92, "duration": 5.07}, {"text": "que n\u00e3o queria estar ali viu entediado", "start": 344.13, "duration": 3.36}, {"text": "assim dormindo atualmente n\u00e9 s\u00f3 que ele", "start": 345.99, "duration": 3.61}, {"text": "t\u00e1", "start": 347.49, "duration": 6.61}, {"text": "oi oi Bia voc\u00ea acordou ouvindo alguns", "start": 349.6, "duration": 7.05}, {"text": "barulhos estranhos na vida da parte de", "start": 354.1, "duration": 3.71}, {"text": "cima do barco", "start": 356.65, "duration": 7.07}, {"text": "sons de algo pesado caindo um o estudo", "start": 357.81, "duration": 8.39}, {"text": "e parece que atencioso demais", "start": 363.72, "duration": 4.86}, {"text": "deveria ter uma turbina girando agora", "start": 366.2, "duration": 5.53}, {"text": "levando voc\u00eas para frente mas o barco t\u00e1", "start": 368.58, "duration": 4.67}, {"text": "com o motor desligado", "start": 371.73, "duration": 3.75}, {"text": "Enquanto voc\u00ea se arrumou levantou e", "start": 373.25, "duration": 4.96}, {"text": "colocou a sua jaqueta Voc\u00ea parece o", "start": 375.48, "duration": 6.09}, {"text": "v\u00eddeo de do andar de cima do barco sons", "start": 378.21, "duration": 4.97}, {"text": "como Gritos abafados", "start": 381.57, "duration": 4.56}, {"text": "e voc\u00ea ouve Passos descendo as escadas", "start": 383.18, "duration": 7.25}, {"text": "de madeira do barco hanging on", "start": 386.13, "duration": 6.94}, {"text": "se voc\u00ea escuta que Passos parando na", "start": 390.43, "duration": 5.12}, {"text": "frente da sua porta e", "start": 393.07, "duration": 6.83}, {"text": "algu\u00e9m bate na porta de metal", "start": 395.55, "duration": 4.35}, {"text": "Ah t\u00e1", "start": 400.34, "duration": 5.25}, {"text": "porque tinha que \u00e9 que t\u00e1 a\u00ed a voc\u00ea", "start": 402.04, "duration": 5.11}, {"text": "consegue olhar para ele atrav\u00e9s da", "start": 405.59, "duration": 5.49}, {"text": "pequena janelinha que tem no seu na", "start": 407.15, "duration": 5.97}, {"text": "porta do seu quarto e voc\u00ea viu um homem", "start": 411.08, "duration": 6.089}, {"text": "alto grande Uma barba bem cheia e suja o", "start": 413.12, "duration": 5.97}, {"text": "cabelo dele t\u00e1 bem bagun\u00e7ado e ele tem", "start": 417.169, "duration": 3.661}, {"text": "os fios brancos uma ele tem v\u00e1rias", "start": 419.09, "duration": 4.35}, {"text": "pequenas cicatrizes no rosto e outra", "start": 420.83, "duration": 4.16}, {"text": "botar a boca na frente aqui", "start": 423.44, "duration": 5.789}, {"text": "a ele tem olhos grandes e azuis ele", "start": 424.99, "duration": 6.03}, {"text": "Veste uma roupa bastante suja com lama", "start": 429.229, "duration": 5.521}, {"text": "reconhece ele \u00e9 o Adrian \u00e9 o dono do", "start": 431.02, "duration": 4.7}, {"text": "barco", "start": 434.75, "duration": 4.48}, {"text": "e ele co\u00e7a a cabe\u00e7a a milh\u00e3o mano", "start": 435.72, "duration": 6.36}, {"text": "Me desculpa te acordei \u00e9 bom dia eu t\u00f4", "start": 439.23, "duration": 6.57}, {"text": "com problema aqui fora pode falar a voc\u00ea", "start": 442.08, "duration": 5.33}, {"text": "abra forte n\u00e3o", "start": 445.8, "duration": 4.05}, {"text": "Ok voc\u00ea ouvir o som dele meio abafado", "start": 447.41, "duration": 4.71}, {"text": "por tr\u00e1s da porta", "start": 449.85, "duration": 5.28}, {"text": "um problema em cima eu tentei ajudar ela", "start": 452.12, "duration": 4.75}, {"text": "mas ela come\u00e7ou a gritar falou que vai", "start": 455.13, "duration": 3.42}, {"text": "ser cancelado Se eu gostasse dela n\u00e3o", "start": 456.87, "duration": 3.99}, {"text": "entendi nada eu n\u00e3o sei o que fazer se", "start": 458.55, "duration": 6.29}, {"text": "voc\u00ea pode me d\u00e1 uma ajuda a\u00ed eu s\u00f3", "start": 460.86, "duration": 7.82}, {"text": "Ah t\u00e1 bom agora porta e eu gostei o puxa", "start": 464.84, "duration": 5.97}, {"text": "a porta na MIL pesada mas voc\u00ea consegue", "start": 468.68, "duration": 4.23}, {"text": "voc\u00ea v\u00ea que ele t\u00e1 meio apreensiva assim", "start": 470.81, "duration": 4.59}, {"text": "a\u00ed tem alguns problemas para resolver na", "start": 472.91, "duration": 5.25}, {"text": "mente dele t\u00e1 Vamo l\u00e1 ent\u00e3o que eu", "start": 475.4, "duration": 4.11}, {"text": "resolvesse que tu pode ficar tranquilo", "start": 478.16, "duration": 5.069}, {"text": "voc\u00ea abre a porta e voc\u00ea acompanha o", "start": 479.51, "duration": 6.12}, {"text": "Adrian ele come\u00e7a a seguir para as", "start": 483.229, "duration": 3.66}, {"text": "escadas para subir eu vou comprar ele", "start": 485.63, "duration": 4.259}, {"text": "voc\u00eas ent\u00e3o voc\u00eas dois ent\u00e3o s\u00f3 vem para", "start": 486.889, "duration": 6.06}, {"text": "o andar de cima do barco e chegando l\u00e1", "start": 489.889, "duration": 6.651}, {"text": "em cima voc\u00ea se depara com uma situa\u00e7\u00e3o", "start": 492.949, "duration": 8.22}, {"text": "extremamente inusitada voc\u00ea ver uma", "start": 496.54, "duration": 7.26}, {"text": "pessoa Ca\u00edda no Ch\u00e3o completamente", "start": 501.169, "duration": 5.68}, {"text": "maranhando \u00e9 um monte de corda", "start": 503.8, "duration": 5.29}, {"text": "e esse rebatendo", "start": 506.849, "duration": 5.301}, {"text": "a e agora vou pedir para Bia de escrever", "start": 509.09, "duration": 5.689}, {"text": "a Amelie torrense para mim por favor", "start": 512.15, "duration": 6.569}, {"text": "ent\u00e3o Amelie ela \u00e9 uma mulher bem alta", "start": 514.779, "duration": 6.901}, {"text": "bem alta cisg\u00eanero", "start": 518.719, "duration": 5.821}, {"text": "ent\u00e3o tem cabelos brancos e que v\u00e3o at\u00e9", "start": 521.68, "duration": 6.01}, {"text": "o ombro e nas pontas do cabelo dela ele", "start": 524.54, "duration": 5.15}, {"text": "\u00e9 um tom assim de um roxo mais escuro", "start": 527.69, "duration": 5.07}, {"text": "Ela veste uma blusa branca por baixo e", "start": 529.69, "duration": 5.83}, {"text": "um macac\u00e3o bordou ela tem o nariz bem", "start": 532.76, "duration": 4.56}, {"text": "cumprido e fino e o rosto dela \u00e9 um", "start": 535.52, "duration": 5.509}, {"text": "pouco mais fino tamb\u00e9m e \u00e9 isso", "start": 537.32, "duration": 7.05}, {"text": "voc\u00ea se viu Nessa situa\u00e7\u00e3o porque algo", "start": 541.029, "duration": 6.011}, {"text": "travou o motor do barco Enquanto voc\u00eas", "start": 544.37, "duration": 5.43}, {"text": "estavam viajando o Barqueiro pediu sua", "start": 547.04, "duration": 4.62}, {"text": "ajuda para pegar as cordas e de algum", "start": 549.8, "duration": 4.41}, {"text": "jeito Voc\u00ea pegou essas coisas esse bot\u00e3o", "start": 551.66, "duration": 4.8}, {"text": "uma situa\u00e7\u00e3o de imposs\u00edvel voc\u00ea sair", "start": 554.21, "duration": 3.9}, {"text": "sozinha ele tentou te ajudar mas voc\u00ea", "start": 556.46, "duration": 5.22}, {"text": "n\u00e3o deixou voc\u00ea ver a menina essa", "start": 558.11, "duration": 6.66}, {"text": "situa\u00e7\u00e3o onde a vontade para ele que que", "start": 561.68, "duration": 4.01}, {"text": "est\u00e1 fazendo", "start": 564.77, "duration": 3.509}, {"text": "eu n\u00e3o sei nem como eu vou fazer isso o", "start": 565.69, "duration": 4.97}, {"text": "menino \u00f3 e ele pediu ajuda ouvindo", "start": 568.279, "duration": 5.621}, {"text": "ajudar ele vergonha que vergonha o que", "start": 570.66, "duration": 4.77}, {"text": "eu t\u00f4 aqui eu n\u00e3o consigo me soltar", "start": 573.9, "duration": 3.15}, {"text": "sozinho n\u00e3o preciso de ajuda para o", "start": 575.43, "duration": 2.91}, {"text": "outro nunca mais com voc\u00ea que sabe disso", "start": 577.05, "duration": 3.36}, {"text": "n\u00e9 u\u00e9 pode ficar sozinho eu n\u00e3o gosto de", "start": 578.34, "duration": 4.32}, {"text": "voc\u00ea t\u00e1 eu quero ver o celular dela que", "start": 580.41, "duration": 3.81}, {"text": "ajuda ela sair das contas voc\u00ea chega", "start": 582.66, "duration": 3.81}, {"text": "pr\u00f3ximo ent\u00e3o n\u00e3o sei nem voc\u00ea vai ser\u00e1", "start": 584.22, "duration": 4.65}, {"text": "cancelada ou igual ele t\u00e1 bom fica ent\u00e3o", "start": 586.47, "duration": 6.14}, {"text": "eu consigo sair sozinha", "start": 588.87, "duration": 3.74}, {"text": "voc\u00ea vai ajudar ela agora n\u00e3o n\u00e3o quer", "start": 592.85, "duration": 7.36}, {"text": "agilidade para mim voc\u00ea tem ali na Sua", "start": 596.01, "duration": 6.02}, {"text": "Ficha n\u00e3o tem", "start": 600.21, "duration": 4.22}, {"text": "l\u00e1 em cima", "start": 602.03, "duration": 6.04}, {"text": "atributos agilidade Eu tenho 22 de 20", "start": 604.43, "duration": 4.92}, {"text": "para mim por", "start": 608.07, "duration": 6.0}, {"text": "favor que eu digo \u00e9", "start": 609.35, "duration": 4.72}, {"text": "o seu 17 18 18 voc\u00ea n\u00e3o consegue a beber", "start": 614.37, "duration": 6.78}, {"text": "na verdade retirado os 20 para sair voc\u00ea", "start": 619.11, "duration": 4.229}, {"text": "ver ela tentando sim tirar das cordas", "start": 621.15, "duration": 5.1}, {"text": "assim como voc\u00ea tenta sair das cordas", "start": 623.339, "duration": 6.0}, {"text": "ali \u00e9 o ela fica mordendo voc\u00ea n\u00e3o gosta", "start": 626.25, "duration": 7.79}, {"text": "de corda assim se deu aquelas coisas que", "start": 629.339, "duration": 4.701}, {"text": "a gente", "start": 634.46, "duration": 6.03}, {"text": "assim \u00f3 t\u00e1 desse jeito", "start": 636.56, "duration": 3.93}, {"text": "e eu quero Ent\u00e3o t\u00e1 D\u00e1 um teste de", "start": 643.279, "duration": 6.511}, {"text": "agilidade voc\u00eas dois agora \u00e9", "start": 646.65, "duration": 8.12}, {"text": "12 a 20 shows os na modalidade tem", "start": 649.79, "duration": 4.98}, {"text": "20 a perfeito a descreve para mim como", "start": 655.04, "duration": 7.45}, {"text": "voc\u00ea amarra com uma cara de rolagem", "start": 658.59, "duration": 5.6}, {"text": "tirou 20", "start": 662.49, "duration": 3.68}, {"text": "cara \u00e9 bom", "start": 664.19, "duration": 4.93}, {"text": "uma cara de desaprova\u00e7\u00e3o e Decepcionado", "start": 666.17, "duration": 6.01}, {"text": "tamb\u00e9m eu chego falo vai mexendo aqui a\u00ed", "start": 669.12, "duration": 6.81}, {"text": "eu come\u00e7o eu vou mostrar ela n\u00e3o n\u00e3o tem", "start": 672.18, "duration": 5.52}, {"text": "uma respirada funda e ficou olhando para", "start": 675.93, "duration": 4.95}, {"text": "ele assim que hoje n\u00e3o amor de Deus a\u00ed a", "start": 677.7, "duration": 5.66}, {"text": "gente vai l\u00e1 e puxa", "start": 680.88, "duration": 6.26}, {"text": "voc\u00ea vai", "start": 683.36, "duration": 3.78}, {"text": "conseguir fazer isso voc\u00ea vai", "start": 693.23, "duration": 4.98}, {"text": "desenrolando ao redor dela e finalmente", "start": 695.21, "duration": 7.15}, {"text": "voc\u00ea t\u00e1 livre das cordas eu conseguia", "start": 698.21, "duration": 6.36}, {"text": "sair sozinha n\u00e3o precisava da sua ajuda", "start": 702.36, "duration": 6.27}, {"text": "t\u00e1 bom \u00e9", "start": 704.57, "duration": 4.06}, {"text": "e voc\u00eas vem o sol nascendo no horizonte", "start": 709.54, "duration": 6.96}, {"text": "e na frente \u00e9 na frente do Sol quase", "start": 712.769, "duration": 6.401}, {"text": "caiu na parada aqui com Leco na frente", "start": 716.5, "duration": 6.269}, {"text": "do Sol voc\u00ea vem um homem Magrinho de", "start": 719.17, "duration": 5.58}, {"text": "chap\u00e9u olhando o horizonte Ele parece", "start": 722.769, "duration": 4.831}, {"text": "estar ignorando completamente Tudo e", "start": 724.75, "duration": 4.009}, {"text": "voc\u00eas est\u00e3o", "start": 727.6, "duration": 3.21}, {"text": "tudo que aconteceu com voc\u00ea tivesse", "start": 728.759, "duration": 5.83}, {"text": "focado em outra coisa voc\u00ea sabe que o", "start": 730.81, "duration": 6.42}, {"text": "nome dela \u00e9 Cavalcante porque voc\u00ea ouviu", "start": 734.589, "duration": 4.73}, {"text": "e se apresentando para os pais dele", "start": 737.23, "duration": 4.979}, {"text": "aproximar de voc\u00eas culpa no barco Mas \u00e9", "start": 739.319, "duration": 5.64}, {"text": "s\u00f3 isso voc\u00eas conhecem dele", "start": 742.209, "duration": 6.601}, {"text": "a o Barqueiro ele vira para voc\u00eas dois a", "start": 744.959, "duration": 6.851}, {"text": "professora que voc\u00eas est\u00e3o aqui alguma", "start": 748.81, "duration": 5.68}, {"text": "coisa gravou na turbina do motor", "start": 751.81, "duration": 5.74}, {"text": "o som do motor do barco outra eu e eu", "start": 754.49, "duration": 4.83}, {"text": "preciso de uma ajudinha eu achei que eu", "start": 757.55, "duration": 3.21}, {"text": "ia conseguir resolver s\u00f3 com ela mas ela", "start": 759.32, "duration": 4.079}, {"text": "acabou se trabalhando eu tentei te", "start": 760.76, "duration": 4.56}, {"text": "ajudar tamb\u00e9m \u00e9 bem nada na real Ent\u00e3o", "start": 763.399, "duration": 3.781}, {"text": "agora eu posso usar eu quero que isso", "start": 765.32, "duration": 4.35}, {"text": "n\u00e3o pode perceber alguma coisa e acabar", "start": 767.18, "duration": 6.8}, {"text": "com a especialidade T\u00e1 bom ent\u00e3o", "start": 769.67, "duration": 7.41}, {"text": "ele come\u00e7a a juntar as cordas de amarrar", "start": 773.98, "duration": 5.34}, {"text": "no ao redor do bra\u00e7o dele", "start": 777.08, "duration": 4.5}, {"text": "tem duas coisas que eu preciso que voc\u00eas", "start": 779.32, "duration": 5.62}, {"text": "fa\u00e7am eu vou tentar jogar essas coisas", "start": 781.58, "duration": 5.129}, {"text": "para fisgar Seja l\u00e1 o que t\u00e1 travando a", "start": 784.94, "duration": 3.72}, {"text": "turbina do motor eu preciso de um de", "start": 786.709, "duration": 4.891}, {"text": "voc\u00eas segura o Tim\u00e3o o bastante por s\u00f3", "start": 788.66, "duration": 4.799}, {"text": "de deixar comigo eu t\u00f4 pronta t\u00f4", "start": 791.6, "duration": 3.289}, {"text": "preparada", "start": 793.459, "duration": 5.63}, {"text": "e para segurar o Tim\u00e3o sim fui iogurte", "start": 794.889, "duration": 6.01}, {"text": "voc\u00eas M\u00e9xico", "start": 799.089, "duration": 5.35}, {"text": "o computador essas coisas o seu base o", "start": 800.899, "duration": 7.831}, {"text": "Carrossel serve a voc\u00ea sabe virar dois", "start": 804.439, "duration": 5.601}, {"text": "bot\u00f5es", "start": 808.73, "duration": 3.959}, {"text": "virar dois bot\u00f5es pode ver pelo amor de", "start": 810.04, "duration": 3.57}, {"text": "Deus", "start": 812.689, "duration": 5.551}, {"text": "n\u00e3o mexer no computador e", "start": 813.61, "duration": 4.63}, {"text": "e o teu cabelo quebra", "start": 825.61, "duration": 3.18}, {"text": "e", "start": 828.05, "duration": 4.53}, {"text": "olha bem o que voc\u00ea t\u00e1 falando de baixo", "start": 828.79, "duration": 7.57}, {"text": "tem uma painel os computadores eu eu s\u00f3", "start": 832.58, "duration": 6.15}, {"text": "preciso que voc\u00ea se inverta a turbina e", "start": 836.36, "duration": 4.11}, {"text": "outro segura o Tim\u00e3o para ela n\u00e3o ter", "start": 838.73, "duration": 4.169}, {"text": "levado pela corda sempre foi mais forte", "start": 840.47, "duration": 5.19}, {"text": "que \u00e9 voc\u00ea t\u00e1 bom fazer eu vou deixar", "start": 842.899, "duration": 4.891}, {"text": "ent\u00e3o eu vou pelo computador Prefeito", "start": 845.66, "duration": 4.47}, {"text": "Deixa eu s\u00f3 tirar o barco de cima do", "start": 847.79, "duration": 4.799}, {"text": "outro barco aqui botar voc\u00eas aqui do", "start": 850.13, "duration": 6.889}, {"text": "ladinho c\u00eas t\u00e3o voando calma muita calma", "start": 852.589, "duration": 6.381}, {"text": "a\u00ed", "start": 857.019, "duration": 6.63}, {"text": "isso foi deve ser cobrado a cobrar para", "start": 858.97, "duration": 4.679}, {"text": "cima e aqui em cima agora t\u00e1 os dois", "start": 864.459, "duration": 5.841}, {"text": "andares o barco ah ah", "start": 867.709, "duration": 5.841}, {"text": "ent\u00e3o voc\u00ea segue para dar de baixo n\u00e9", "start": 870.3, "duration": 5.25}, {"text": "ele vem aqui", "start": 873.55, "duration": 5.81}, {"text": "a ser feito a voc\u00ea passa por pelo Adrian", "start": 875.55, "duration": 7.2}, {"text": "o Adrian e Amelie voc\u00ea sobem a escada", "start": 879.36, "duration": 5.58}, {"text": "para parte de cima ali onde o painel de", "start": 882.75, "duration": 5.25}, {"text": "controle tim\u00e3o do barco e voc\u00ea v\u00ea o", "start": 884.94, "duration": 5.25}, {"text": "adriete apontando para espanhol aqui \u00f3", "start": 888.0, "duration": 4.62}, {"text": "tamb\u00e9m essa coisa que parece um volante", "start": 890.19, "duration": 5.79}, {"text": "de carro ruim eu s\u00f3 preciso de voc\u00ea", "start": 892.62, "duration": 6.27}, {"text": "segure isso bem forte n\u00e3o eu sou t\u00e1 voc\u00ea", "start": 895.98, "duration": 4.289}, {"text": "colocar com o m\u00e1ximo que eu posso depois", "start": 898.89, "duration": 2.509}, {"text": "eu sou forte", "start": 900.269, "duration": 5.461}, {"text": "eu vou estar em problema voc\u00ea desce a", "start": 901.399, "duration": 6.671}, {"text": "escada chegando no andar de baixo voc\u00ea", "start": 905.73, "duration": 3.9}, {"text": "mandar outro de cara na frente da escada", "start": 908.07, "duration": 4.35}, {"text": "com esse painel que tem v\u00e1rios v\u00e1rias", "start": 909.63, "duration": 4.769}, {"text": "informa\u00e7\u00f5es que voc\u00ea n\u00e3o consegue", "start": 912.42, "duration": 3.659}, {"text": "reconhecer muito bem d\u00e1 um teste de", "start": 914.399, "duration": 3.421}, {"text": "tecnologia para mim por favor o", "start": 916.079, "duration": 4.82}, {"text": "intelecto voc\u00ea pode ver que voc\u00ea tem", "start": 917.82, "duration": 7.11}, {"text": "dois voc\u00ea jogar dois dados e 70kg ainda", "start": 920.899, "duration": 5.141}, {"text": "tem nada a ver com a legi\u00e3o da", "start": 924.93, "duration": 4.05}, {"text": "segrega\u00e7\u00e3o dos dados em", "start": 926.04, "duration": 7.18}, {"text": "1525 1520 1510 ficiente voc\u00ea consegue", "start": 928.98, "duration": 5.68}, {"text": "reconhecer tem tem algumas informa\u00e7\u00f5es", "start": 933.22, "duration": 4.5}, {"text": "de altitude de Marge localiza\u00e7\u00e3o", "start": 934.66, "duration": 7.909}, {"text": "coordenadas e ao lado no cb3pp Tr\u00eas \u00c9", "start": 937.72, "duration": 7.59}, {"text": "outra coisa pra rodar que eu esqueci o", "start": 942.569, "duration": 4.44}, {"text": "nome agora a", "start": 945.31, "duration": 4.56}, {"text": "voc\u00ea e voc\u00ea duas dizendo falando sobre a", "start": 947.009, "duration": 5.221}, {"text": "turbina da escrita turbina ai turbina B", "start": 949.87, "duration": 5.459}, {"text": "T\u00e1 eu vou gritar Ent\u00e3o o velho \u00e9 para", "start": 952.23, "duration": 4.979}, {"text": "rodar o que aqui em", "start": 955.329, "duration": 4.88}, {"text": "eu vou dormir", "start": 957.209, "duration": 8.281}, {"text": "t\u00e1 t\u00e1 t\u00e1 eu eu posso j\u00e1 rodar agora", "start": 960.209, "duration": 8.581}, {"text": "segura a\u00ed", "start": 965.49, "duration": 3.3}, {"text": "e deixa eu ver ele vai", "start": 969.76, "duration": 4.5}, {"text": "segura seu bra\u00e7o d\u00e1 um teste de for\u00e7a", "start": 972.03, "duration": 4.17}, {"text": "para mim a\u00ed", "start": 974.26, "duration": 3.37}, {"text": "se", "start": 976.2, "duration": 5.87}, {"text": "fudeu porque foi", "start": 977.63, "duration": 4.44}, {"text": "Deus por favor Ilumina Minha Vida", "start": 983.72, "duration": 4.8}, {"text": "o futuro dois", "start": 990.329, "duration": 5.25}, {"text": "ele vai ele vai tirar o teu bra\u00e7o ele", "start": 992.779, "duration": 5.071}, {"text": "tirou seu bra\u00e7o", "start": 995.579, "duration": 5.25}, {"text": "tem que segurar o a m\u00e3o que \u00e9 meu irm\u00e3o", "start": 997.85, "duration": 5.949}, {"text": "eu n\u00e3o estava preparada Voc\u00ea n\u00e3o falou", "start": 1000.829, "duration": 5.55}, {"text": "para eu apertar agora s\u00f3 tava com a m\u00e3o", "start": 1003.799, "duration": 5.7}, {"text": "aqui ok pelo amor de Deus texto acordar", "start": 1006.379, "duration": 4.46}, {"text": "\u00e9 cara", "start": 1009.499, "duration": 4.53}, {"text": "eu t\u00f4 com sede n\u00e9 Muito forte essa cola", "start": 1010.839, "duration": 5.381}, {"text": "t\u00e1 n\u00e3o consegui sair sozinho agora outro", "start": 1014.029, "duration": 4.47}, {"text": "mais forte porque voc\u00ea morreu ele tem", "start": 1016.22, "duration": 6.059}, {"text": "algu\u00e9m na contagem em ele vai at\u00e9 a", "start": 1018.499, "duration": 6.241}, {"text": "parte de tr\u00e1s do barco ele apoia a perna", "start": 1022.279, "duration": 4.711}, {"text": "em cima da borda do barco assim que as o", "start": 1024.74, "duration": 3.51}, {"text": "fim do ano n\u00e9 voc\u00ea n\u00e3o t\u00f4 indo para", "start": 1026.99, "duration": 4.529}, {"text": "frente e ele joga acorda l\u00e1 para baixo", "start": 1028.25, "duration": 5.49}, {"text": "come\u00e7a", "start": 1031.519, "duration": 3.741}, {"text": "e tr\u00eas", "start": 1033.74, "duration": 5.9}, {"text": "e a\u00ed para te fazer uma coisa n\u00e3o \u00e9", "start": 1035.26, "duration": 8.52}, {"text": "e o jogador agora tanta depois de novo e", "start": 1039.64, "duration": 6.93}, {"text": "d\u00e1 pra voc\u00ea voc\u00ea d\u00e1 um teste de reflexo", "start": 1043.78, "duration": 4.62}, {"text": "mano ela vai voar certeza que reflexo", "start": 1046.57, "duration": 5.55}, {"text": "agilidade ir Ol\u00edvia", "start": 1048.4, "duration": 3.72}, {"text": "188", "start": 1052.86, "duration": 3.0}, {"text": "1717 voc\u00ea vira a a turbina bem na hora", "start": 1056.1, "duration": 5.17}, {"text": "que o que voc\u00ea escuta bem de fundinho", "start": 1059.71, "duration": 4.02}, {"text": "assim os gritos dele duas vira as duas", "start": 1061.27, "duration": 4.55}, {"text": "turbinas voc\u00ea ouve as urnas", "start": 1063.73, "duration": 5.93}, {"text": "mas a Mili voc\u00ea tenta segurar o \u00faltimo", "start": 1065.82, "duration": 6.37}, {"text": "girar muito e voc\u00ea n\u00e3o consegue que ele", "start": 1069.66, "duration": 7.06}, {"text": "vai virando para o lado eu olha a\u00ed voc\u00ea", "start": 1072.19, "duration": 7.14}, {"text": "come\u00e7a a\u00ed d\u00e1 mais um teste de for\u00e7a para", "start": 1076.72, "duration": 5.04}, {"text": "mim por favor mais grossa Ai eu t\u00f4", "start": 1079.33, "duration": 5.52}, {"text": "cagada hoje para ela A\u00ed \u00e9 por isso que", "start": 1081.76, "duration": 4.74}, {"text": "eu nunca Joga a\u00ed tem eu s\u00f3 me fodo nos", "start": 1084.85, "duration": 2.62}, {"text": "d\u00e1", "start": 1086.5, "duration": 2.159}, {"text": "s\u00f3", "start": 1087.47, "duration": 5.52}, {"text": "1414 ok Voc\u00ea consegue segurar e ele", "start": 1088.659, "duration": 7.931}, {"text": "entrou um filho Puxa voc\u00ea ouvir como se", "start": 1092.99, "duration": 5.22}, {"text": "estivesse pescado alguma coisa met\u00e1lica", "start": 1096.59, "duration": 6.959}, {"text": "e nessa hora muito o motor do barco liga", "start": 1098.21, "duration": 7.829}, {"text": "novamente e voc\u00eas come\u00e7am a seguir em", "start": 1103.549, "duration": 5.191}, {"text": "frente o bar do d\u00e1 uma l\u00e1 bancada para", "start": 1106.039, "duration": 4.561}, {"text": "frente voc\u00eas ouvir o cara de chap\u00e9u l\u00e1", "start": 1108.74, "duration": 5.939}, {"text": "na frente a gritando qual ele quase cai", "start": 1110.6, "duration": 5.76}, {"text": "para frente do barco mas ele se segura", "start": 1114.679, "duration": 4.831}, {"text": "assim ele olha para tr\u00e1s e ele volta a", "start": 1116.36, "duration": 5.28}, {"text": "olhar aos arredores dele voc\u00ea n\u00e3o", "start": 1119.51, "duration": 3.659}, {"text": "consegue ver quase nada no horizonte", "start": 1121.64, "duration": 3.93}, {"text": "escutar uma uma neblina bem bem pesada", "start": 1123.169, "duration": 5.141}, {"text": "porque s\u00e3o seis da manh\u00e3", "start": 1125.57, "duration": 6.76}, {"text": "Essa \u00e9 a Camille voc\u00ea voc\u00ea ouve algo", "start": 1128.31, "duration": 5.84}, {"text": "met\u00e1lico", "start": 1132.33, "duration": 5.57}, {"text": "ficando do seu lado e eu vou olhar eu", "start": 1134.15, "duration": 5.85}, {"text": "quero ver o que que era voc\u00ea viu que", "start": 1137.9, "duration": 5.43}, {"text": "parece um um peda\u00e7o de metal enferrujado", "start": 1140.0, "duration": 5.09}, {"text": "bem sujo assim", "start": 1143.33, "duration": 4.07}, {"text": "conseguimos j\u00e1", "start": 1145.09, "duration": 5.43}, {"text": "sabia que voc\u00eas eu consegui eu", "start": 1147.4, "duration": 6.99}, {"text": "posso pegar o pau", "start": 1150.52, "duration": 6.31}, {"text": "voc\u00ea consegue pegar o que caiu Com", "start": 1154.39, "duration": 5.76}, {"text": "certeza Ent\u00e3o tira a cal\u00e7a e", "start": 1156.83, "duration": 3.32}, {"text": "\u00e9 tudo o que que tu faz logo depois eu", "start": 1160.49, "duration": 6.66}, {"text": "posso sair daqui j\u00e1 a voc\u00eas poderem", "start": 1163.72, "duration": 5.86}, {"text": "gritando l\u00e1 em cima com a Melissa t\u00f4", "start": 1167.15, "duration": 5.82}, {"text": "meio longe longe eu falo tanto faz ent\u00e3o", "start": 1169.58, "duration": 5.64}, {"text": "a\u00ed eu subo e volto e eu coloco os dois", "start": 1172.97, "duration": 4.92}, {"text": "l\u00e1 na frente perfeito a amiga e voc\u00ea", "start": 1175.22, "duration": 4.47}, {"text": "pega esse peda\u00e7o de metal enferrujado a\u00ed", "start": 1177.89, "duration": 4.28}, {"text": "\u00f3 eu estou aqui tava", "start": 1179.69, "duration": 4.89}, {"text": "preso na turbina \u00e0s vezes essa nessa", "start": 1182.17, "duration": 3.13}, {"text": "regi\u00e3o aqui tem um monte de", "start": 1184.58, "duration": 3.72}, {"text": "quinquilharia e coisa lixo lixo do c\u00e9u", "start": 1185.3, "duration": 5.12}, {"text": "sabe como \u00e9", "start": 1188.3, "duration": 4.35}, {"text": "eu quero olhar para ver se eu converso", "start": 1190.42, "duration": 6.24}, {"text": "de investiga\u00e7\u00e3o para importar", "start": 1192.65, "duration": 4.01}, {"text": "e agora vem s\u00f3 vem para c\u00e1 \u00e9 Ah t\u00e1 eu s\u00f3", "start": 1197.26, "duration": 5.86}, {"text": "tenho gente Alegre", "start": 1201.629, "duration": 6.171}, {"text": "a 15 voc\u00ea v\u00ea que parece um metal muito", "start": 1203.12, "duration": 7.29}, {"text": "antigo para n\u00e3o parece uma coisa de tipo", "start": 1207.8, "duration": 4.38}, {"text": "alguns anos atr\u00e1s a parada parece ser", "start": 1210.41, "duration": 4.86}, {"text": "extremamente enferrujada e velha \u00e9 o", "start": 1212.18, "duration": 6.45}, {"text": "tiro 15 isso gostei percebe que no meio", "start": 1215.27, "duration": 5.039}, {"text": "das ferrugens que s\u00e3o ferrugens meio", "start": 1218.63, "duration": 3.02}, {"text": "meio", "start": 1220.309, "duration": 4.471}, {"text": "ent\u00e3o bronze para que tem alguns", "start": 1221.65, "duration": 5.56}, {"text": "desenhos meio encravados nesse peda\u00e7o de", "start": 1224.78, "duration": 3.53}, {"text": "metal", "start": 1227.21, "duration": 3.44}, {"text": "e eu vou querer mostrar para ele para o", "start": 1228.31, "duration": 4.32}, {"text": "velho falar no barco por aqui n\u00e3o isso", "start": 1230.65, "duration": 4.23}, {"text": "eu falei olha isso aqui tem uns isso", "start": 1232.63, "duration": 4.1}, {"text": "aqui \u00e9 diferente olha tem uns", "start": 1234.88, "duration": 4.05}, {"text": "desenhinhos parece ser muito velho isso", "start": 1236.73, "duration": 5.62}, {"text": "aqui um peda\u00e7o de um barco antigo n\u00e3o", "start": 1238.93, "duration": 5.73}, {"text": "tem problema de pegar a sua m\u00e3o eu puxo", "start": 1242.35, "duration": 3.35}, {"text": "e volta", "start": 1244.66, "duration": 5.43}, {"text": "foi guardar isso menina achei ele vier", "start": 1245.7, "duration": 5.709}, {"text": "o que t\u00e1 acontecendo a\u00ed que que \u00e9 isso", "start": 1250.09, "duration": 3.75}, {"text": "a\u00ed Am\u00e9ricas branca \u00e9 isso que saiu da", "start": 1251.409, "duration": 5.101}, {"text": "turbina do eu t\u00f4 combina que que chama", "start": 1253.84, "duration": 5.18}, {"text": "a\u00ed s\u00f3", "start": 1256.51, "duration": 2.51}, {"text": "aprendendo o motor Olha tem um", "start": 1260.73, "duration": 7.62}, {"text": "detalhezinho de", "start": 1265.45, "duration": 2.9}, {"text": "baixo", "start": 1275.19, "duration": 6.55}, {"text": "duas pessoas aparecem subindo as escadas", "start": 1277.65, "duration": 6.09}, {"text": "s\u00e3o", "start": 1281.74, "duration": 5.14}, {"text": "um mont\u00e3o florins e Angelina fun\u00e7\u00f5es", "start": 1283.74, "duration": 6.09}, {"text": "carregando as coisas deles assim \u00e9 meio", "start": 1286.88, "duration": 6.429}, {"text": "assustados o motel ele aparece por o que", "start": 1289.83, "duration": 5.52}, {"text": "aconteceu o barco vai afundar o que t\u00e1", "start": 1293.309, "duration": 4.441}, {"text": "acontecendo mas tem Bota ele e pode", "start": 1295.35, "duration": 3.84}, {"text": "estar fazendo alguma presidente do", "start": 1297.75, "duration": 3.57}, {"text": "Socorro apare\u00e7a consegue nada do", "start": 1299.19, "duration": 4.38}, {"text": "aparelho \u00e9 o que t\u00e1 acontecendo e a m\u00e3e", "start": 1301.32, "duration": 4.89}, {"text": "de voc\u00eas Angelina t\u00e1 carregando malas", "start": 1303.57, "duration": 4.77}, {"text": "enormes n\u00e3o se eu fosse ficar um m\u00eas na", "start": 1306.21, "duration": 5.64}, {"text": "ilha ela Gente pelo amor de Deus esse", "start": 1308.34, "duration": 5.28}, {"text": "barco n\u00e3o tem como eu t\u00f4 tentando dormir", "start": 1311.85, "duration": 3.66}, {"text": "e n\u00e3o tem que me falar que essa viagem", "start": 1313.62, "duration": 5.46}, {"text": "paradis\u00edaca nesse mesmo a ilha linda por", "start": 1315.51, "duration": 5.13}, {"text": "um peda\u00e7o e visto que ela que quente", "start": 1319.08, "duration": 4.53}, {"text": "Esse barco aqui pelo amor de Deus", "start": 1320.64, "duration": 5.23}, {"text": "e as minhas o chegando", "start": 1323.61, "duration": 4.59}, {"text": "o e paguei m\u00e3e como \u00e9 que est\u00e3o tudo bem", "start": 1325.87, "duration": 5.939}, {"text": "mam\u00e3e n\u00e3o precisa ser preocupado j\u00e1", "start": 1328.2, "duration": 5.859}, {"text": "tirei o que tava incomodando aqui j\u00e1 t\u00e1", "start": 1331.809, "duration": 5.371}, {"text": "tudo normal o motel chega em dire\u00e7\u00e3o ao", "start": 1334.059, "duration": 6.321}, {"text": "Adriano Abreu toma toma", "start": 1337.18, "duration": 3.2}, {"text": "do barco Mas voc\u00ea pode chegando e quando", "start": 1342.84, "duration": 6.19}, {"text": "ele fala quase chegando Ele olha para o", "start": 1346.93, "duration": 5.25}, {"text": "horizonte e voc\u00eas conseguem ver a", "start": 1349.03, "duration": 6.95}, {"text": "neblina da manh\u00e3 come\u00e7a a se dissipar", "start": 1352.18, "duration": 7.67}, {"text": "revelando uma silhueta no horizonte \u00e9", "start": 1355.98, "duration": 7.62}, {"text": "uma forma bem imponente uma grande torre", "start": 1359.85, "duration": 7.34}, {"text": "de farol dando boas-vindas", "start": 1363.6, "duration": 10.399}, {"text": "a um lugar se esconde muitos Segredos", "start": 1367.19, "duration": 9.44}, {"text": "a ilha", "start": 1373.999, "duration": 8.331}, {"text": "O Victor a o destino de voc\u00eas Pode", "start": 1376.63, "duration": 8.029}, {"text": "mostrar ele a produ\u00e7\u00e3o do mapa", "start": 1382.33, "duration": 5.0}, {"text": "e pode mostrar a produ\u00e7\u00e3o no mapa era", "start": 1384.659, "duration": 3.86}, {"text": "para voc\u00ea sair agora", "start": 1387.33, "duration": 2.899}, {"text": "e", "start": 1388.519, "duration": 3.78}, {"text": "nesse exato momento", "start": 1390.229, "duration": 4.901}, {"text": "em outro lugar", "start": 1392.299, "duration": 4.411}, {"text": "E a\u00ed", "start": 1395.13, "duration": 3.48}, {"text": "se algu\u00e9m", "start": 1396.71, "duration": 6.27}, {"text": "e acaba de acordar", "start": 1398.61, "duration": 8.3}, {"text": "de dentro de uma simples cabaninha do", "start": 1402.98, "duration": 6.35}, {"text": "outro lado da Ilha", "start": 1406.91, "duration": 4.37}, {"text": "\u00e9 um garoto", "start": 1409.33, "duration": 3.59}, {"text": "se levanta", "start": 1411.28, "duration": 5.76}, {"text": "dentro do seu colch\u00e3o e dentro do seu do", "start": 1412.92, "duration": 6.78}, {"text": "seu quarto em cima do seu colch\u00e3o velho", "start": 1417.04, "duration": 5.03}, {"text": "com cabelos bagun\u00e7ados", "start": 1419.7, "duration": 8.08}, {"text": "e vou pedir para o mete escrever o milo", "start": 1422.07, "duration": 10.24}, {"text": "para mim por favor o milo ele \u00e9 um cara", "start": 1427.78, "duration": 7.02}, {"text": "de uma altura de um e setenta ainda \u00e9", "start": 1432.31, "duration": 4.71}, {"text": "t\u00e3o baixinho quando ele aparecia ele tem", "start": 1434.8, "duration": 4.74}, {"text": "olhos verdes cabelos ondulados castanhos", "start": 1437.02, "duration": 5.91}, {"text": "o tamanho m\u00e9dio ele usa um su\u00e9ter azul", "start": 1439.54, "duration": 6.3}, {"text": "marinho bem desgastado com o macac\u00e3o na", "start": 1442.93, "duration": 5.39}, {"text": "cor marrom tamb\u00e9m bem seca desgastado", "start": 1445.84, "duration": 6.42}, {"text": "ele t\u00e1 sempre descal\u00e7o e ele tem uma", "start": 1448.32, "duration": 8.32}, {"text": "marca no bra\u00e7o direito no formato de um", "start": 1452.26, "duration": 8.46}, {"text": "povo Milo voc\u00ea acabou de acordar e mais", "start": 1456.64, "duration": 7.44}, {"text": "um dia normal somos sete da manh\u00e3 o", "start": 1460.72, "duration": 6.48}, {"text": "hor\u00e1rio que voc\u00ea sempre acorda e o que", "start": 1464.08, "duration": 5.219}, {"text": "voc\u00ea faz Qual \u00e9 a sua rotina matinal", "start": 1467.2, "duration": 4.13}, {"text": "eu", "start": 1469.299, "duration": 2.031}, {"text": "acabei de acordar do Pesadelo eu t\u00f4", "start": 1472.44, "duration": 3.839}, {"text": "suando frio", "start": 1475.21, "duration": 7.11}, {"text": "eu olho para os lados eu pego minha um", "start": 1476.279, "duration": 8.11}, {"text": "colar que eu uso eu fico segurando ele", "start": 1482.32, "duration": 3.109}, {"text": "bem forte", "start": 1484.389, "duration": 5.25}, {"text": "D\u00e1 um beijo nele me levanto Depois de", "start": 1485.429, "duration": 6.011}, {"text": "ficar 15 minutos me recuperando de", "start": 1489.639, "duration": 4.681}, {"text": "Depois de uma noite de pesadelo eu vou", "start": 1491.44, "duration": 6.119}, {"text": "at\u00e9 a janela do meu quarto fico vendo", "start": 1494.32, "duration": 7.38}, {"text": "olhando para o Marco Horizonte e at\u00e9 que", "start": 1497.559, "duration": 6.661}, {"text": "o milo deu seu pr\u00f3prio reflexo na janela", "start": 1501.7, "duration": 6.439}, {"text": "e ele sa\u00edda de l\u00e1 e eles sai do quarto", "start": 1504.22, "duration": 6.48}, {"text": "ele d\u00e1 uma olhada por outro c\u00f4modo muito", "start": 1508.139, "duration": 6.231}, {"text": "vazio ele d\u00e1 uma olhada para l\u00e1 um pro", "start": 1510.7, "duration": 5.05}, {"text": "outro quarto ao lado do seu quarto ao", "start": 1514.37, "duration": 3.33}, {"text": "lado dele na direita e t\u00e1 tudo vazio n\u00e3o", "start": 1515.75, "duration": 5.82}, {"text": "tem ningu\u00e9m e d\u00e1 uma conferida e vai", "start": 1517.7, "duration": 5.01}, {"text": "para a cozinha tomar seu caf\u00e9 da manh\u00e3", "start": 1521.57, "duration": 5.16}, {"text": "voc\u00ea escuta barulhos de talheres batendo", "start": 1522.71, "duration": 6.39}, {"text": "em pratos e quando voc\u00ea chega na sala", "start": 1526.73, "duration": 4.59}, {"text": "voc\u00ea ver exatamente o que voc\u00ea esperava", "start": 1529.1, "duration": 7.02}, {"text": "um homem muito grande alto e forte eles", "start": 1531.32, "duration": 6.99}, {"text": "uma regata branca cabelo \u00e9 bem curto e", "start": 1536.12, "duration": 3.84}, {"text": "tem duas grande sentadas assim que", "start": 1538.31, "duration": 3.24}, {"text": "revela que ele t\u00e1 l\u00e1 pelo 50 e poucos", "start": 1539.96, "duration": 3.84}, {"text": "anos eu tenho um bigod\u00e3o e duas", "start": 1541.55, "duration": 4.56}, {"text": "sobrancelhas bem grossas com a express\u00e3o", "start": 1543.8, "duration": 5.22}, {"text": "Profunda o corpo dele tem diversas", "start": 1546.11, "duration": 5.55}, {"text": "pequenas cicatrizes mas o que mais chama", "start": 1549.02, "duration": 6.12}, {"text": "aten\u00e7\u00e3o \u00e9 com certeza o grande povo que", "start": 1551.66, "duration": 8.24}, {"text": "ele tem na m\u00e3o a voc\u00ea v\u00ea seu pai Bart\u00f4", "start": 1555.14, "duration": 8.36}, {"text": "sentado ele tava terminando de comer um", "start": 1559.9, "duration": 7.87}, {"text": "peixinho aqui \u00f3 Bom dia amigo bom dia", "start": 1563.5, "duration": 6.91}, {"text": "pai eu vou chegar d\u00e1 um d\u00e1 um beijinho", "start": 1567.77, "duration": 4.86}, {"text": "na testa dele assim ele ele se vira e", "start": 1570.41, "duration": 3.16}, {"text": "deixa voc\u00ea", "start": 1572.63, "duration": 4.0}, {"text": "e d\u00e1 um beijinho ele tipo ele pega e faz", "start": 1573.57, "duration": 7.31}, {"text": "um bagun\u00e7a pouco seu cabelo senta a\u00ed", "start": 1576.63, "duration": 7.12}, {"text": "que que tem para hoje", "start": 1580.88, "duration": 6.89}, {"text": "e \u00e9 eu preparei a o que sobrou das", "start": 1583.75, "duration": 6.06}, {"text": "batatas eu sei que seu anivers\u00e1rio t\u00e1", "start": 1587.77, "duration": 4.29}, {"text": "chegando Achei que ia gostar", "start": 1589.81, "duration": 4.89}, {"text": "e \u00e9 eu n\u00e3o sou muito sua f\u00e3 do meu", "start": 1592.06, "duration": 4.85}, {"text": "anivers\u00e1rio voc\u00ea sabe disso mais", "start": 1594.7, "duration": 4.68}, {"text": "eu t\u00f4 pronto para passar por ele mais", "start": 1596.91, "duration": 4.17}, {"text": "uma vez", "start": 1599.38, "duration": 5.31}, {"text": "fugir de barco tem que passar no para", "start": 1601.08, "duration": 5.89}, {"text": "falar com o Barnab\u00e9 no na vila e levar", "start": 1604.69, "duration": 3.79}, {"text": "os peixes com Adriano", "start": 1606.97, "duration": 2.25}, {"text": "e", "start": 1608.48, "duration": 3.27}, {"text": "tu nem eu fa\u00e7o isso \u00e9 a gente pode fazer", "start": 1609.22, "duration": 3.81}, {"text": "isso jamais", "start": 1611.75, "duration": 4.77}, {"text": "voc\u00ea vai me falar o que \u00e9 onde voc\u00ea tava", "start": 1613.03, "duration": 6.1}, {"text": "ontem \u00e0 noite eu t\u00f4 aqui j\u00e1 tinha", "start": 1616.52, "duration": 4.26}, {"text": "ningu\u00e9m n\u00e3o tinha ningu\u00e9m aqui eu tava", "start": 1619.13, "duration": 4.28}, {"text": "pescando Mais uma vez", "start": 1620.78, "duration": 4.62}, {"text": "voc\u00ea sabe que \u00e0s vezes ele tem que", "start": 1623.41, "duration": 3.7}, {"text": "passar mais tempo que o normal n\u00e3o \u00e9", "start": 1625.4, "duration": 3.35}, {"text": "f\u00e1cil para ficar por aqui", "start": 1627.11, "duration": 5.52}, {"text": "tudo bem Eu n\u00e3o quero ser chato ele nada", "start": 1628.75, "duration": 5.07}, {"text": "a gente", "start": 1632.63, "duration": 4.44}, {"text": "ele sabe que a gente passou a\u00ed s\u00f3 quero", "start": 1633.82, "duration": 4.66}, {"text": "voc\u00ea sabe que a gente t\u00e1 junto tem mais", "start": 1637.07, "duration": 3.12}, {"text": "do que n\u00e3o precisa falar sobre gostar", "start": 1638.48, "duration": 3.87}, {"text": "muito bem ele levanta pega o prato dele", "start": 1640.19, "duration": 3.75}, {"text": "e vai em dire\u00e7\u00e3o a pia e t\u00e1 com o prato", "start": 1642.35, "duration": 4.319}, {"text": "na pia eu t\u00f4 saindo para pescar eu volto", "start": 1643.94, "duration": 5.31}, {"text": "de noite eu esquece de levar os peixes", "start": 1646.669, "duration": 5.651}, {"text": "padre pode deixar Oi", "start": 1649.25, "duration": 8.06}, {"text": "boa tarde voc\u00ea ele sai e ele est\u00e1 na", "start": 1652.32, "duration": 6.82}, {"text": "cabaninha Voc\u00eas moram bem pr\u00f3ximos da", "start": 1657.31, "duration": 4.91}, {"text": "praia n\u00e9 voc\u00ea mora na praia ou at\u00e9 um", "start": 1659.14, "duration": 7.59}, {"text": "um suporte Zinho para provar n\u00e3o entrar", "start": 1662.22, "duration": 7.69}, {"text": "na cabana que voc\u00eas \u00e9 o barco desce as", "start": 1666.73, "duration": 4.74}, {"text": "escadas e vai em dire\u00e7\u00e3o ao pequeno", "start": 1669.91, "duration": 3.96}, {"text": "barquinho de pesca a voc\u00ea faz alguma", "start": 1671.47, "duration": 5.13}, {"text": "coisa ou ele pode ir at\u00e9 o dele voc\u00ea v\u00ea", "start": 1673.87, "duration": 4.38}, {"text": "eles tentando ele pega os remos e t\u00e1", "start": 1676.6, "duration": 3.96}, {"text": "muito acostumado E ele simplesmente Paty", "start": 1678.25, "duration": 4.94}, {"text": "para fora da", "start": 1680.56, "duration": 6.12}, {"text": "da praia Pode mostrar mostra o bar t\u00f4", "start": 1683.19, "duration": 5.02}, {"text": "indo embora Obrigado ele pega o parte de", "start": 1686.68, "duration": 3.11}, {"text": "mim vai embora", "start": 1688.21, "duration": 4.4}, {"text": "voc\u00ea t\u00e1 em casa", "start": 1689.79, "duration": 4.82}, {"text": "e o que voc\u00ea faz", "start": 1692.61, "duration": 6.37}, {"text": "eu volto para o quarto vazio", "start": 1694.61, "duration": 7.37}, {"text": "Esse \u00e9 o quarto vazio o seu o quarto vai", "start": 1698.98, "duration": 6.72}, {"text": "saindo t\u00e1 mas tu vai vir e eu pego um", "start": 1701.98, "duration": 7.31}, {"text": "Banjo que quer nesse quarto e eu fico", "start": 1705.7, "duration": 5.76}, {"text": "uns porte t\u00e3o grande nesse quarto de", "start": 1709.29, "duration": 5.95}, {"text": "vaco e eu s\u00f3 pego ele \u00f3leo para ele leva", "start": 1711.46, "duration": 5.58}, {"text": "o banho para mim por favor \u00e9 um nome", "start": 1715.24, "duration": 6.66}, {"text": "comum um ok al\u00e9m do detalhe eu vou", "start": 1717.04, "duration": 6.54}, {"text": "derrubar sua buraquinho \u00e9 s\u00f3 para mim te", "start": 1721.9, "duration": 3.0}, {"text": "mostrar como \u00e9 que \u00e9 o banheiro que ele", "start": 1723.58, "duration": 5.78}, {"text": "deitado acho que tem um barulho e", "start": 1724.9, "duration": 4.46}, {"text": "tem o seu banho aqui aparecendo a\u00ed a", "start": 1730.47, "duration": 5.79}, {"text": "gente Obrigado acabou de matar", "start": 1733.84, "duration": 5.4}, {"text": "Mas \u00e9 uma de comum apesar que o detalhe", "start": 1736.26, "duration": 4.72}, {"text": "de ter mais uma vez um desenho de um", "start": 1739.24, "duration": 5.309}, {"text": "povo nele eu dou uma sentada no colch\u00e3o", "start": 1740.98, "duration": 6.42}, {"text": "que nessa cama que n\u00e3o tem um colch\u00e3o e", "start": 1744.549, "duration": 6.241}, {"text": "fico s\u00f3 olhando para ele e do p\u00f3 com os", "start": 1747.4, "duration": 6.06}, {"text": "acordes e tudo mais e s\u00f3 isso tamb\u00e9m", "start": 1750.79, "duration": 6.09}, {"text": "perfeito a voc\u00ea o seu pai te deu a", "start": 1753.46, "duration": 5.5}, {"text": "miss\u00e3o de ir at\u00e9 o vilarejo pegar os o", "start": 1756.88, "duration": 6.64}, {"text": "barco sim \u00e9 eu deixo o banho gelado que", "start": 1758.96, "duration": 5.849}, {"text": "ela tem um lugar que ele sempre t\u00e1 assim", "start": 1763.52, "duration": 3.45}, {"text": "vai deixar ele eu na minha turma t\u00e1 na", "start": 1764.809, "duration": 4.321}, {"text": "suas costas Ent\u00e3o eu levo ele depois", "start": 1766.97, "duration": 4.41}, {"text": "voc\u00ea pode mudar a ideia desde isso foi", "start": 1769.13, "duration": 4.2}, {"text": "sempre l\u00e1 eu sei que tem que levar s\u00f3 o", "start": 1771.38, "duration": 4.649}, {"text": "teste eu carrego ele nas minhas costas", "start": 1773.33, "duration": 4.52}, {"text": "ent\u00e3o e", "start": 1776.029, "duration": 4.561}, {"text": "posso fazer a miss\u00e3o que meu pai tinha", "start": 1777.85, "duration": 5.199}, {"text": "pedido para fazer voc\u00ea vai em dire\u00e7\u00e3o a", "start": 1780.59, "duration": 4.98}, {"text": "Vila ent\u00e3o n\u00e9 o vilarejo da ilha \u00e9", "start": 1783.049, "duration": 5.341}, {"text": "quando voc\u00ea sai da sua Cabana voc\u00ea se", "start": 1785.57, "duration": 6.12}, {"text": "depara com uma escolha voc\u00ea pode seguir", "start": 1788.39, "duration": 6.269}, {"text": "pela Floresta pelo caminho mais longo e", "start": 1791.69, "duration": 5.219}, {"text": "mais seguro Porque a floresta \u00e9 grande e", "start": 1794.659, "duration": 6.331}, {"text": "cheia de animais ou voc\u00ea pode ir por um", "start": 1796.909, "duration": 5.851}, {"text": "atalho que voc\u00ea conhece pelo meio do", "start": 1800.99, "duration": 2.51}, {"text": "mato", "start": 1802.76, "duration": 4.07}, {"text": "\u00e9 mas eu direita Cid na praia eu", "start": 1803.5, "duration": 6.75}, {"text": "obviamente vai ter Ot\u00e1vio a perfeito", "start": 1806.83, "duration": 6.78}, {"text": "isso at\u00e9 \u00f3tima decis\u00e3o para come\u00e7ar", "start": 1810.25, "duration": 7.5}, {"text": "segue caminhando pela praia a \u00faltima", "start": 1813.61, "duration": 6.93}, {"text": "tamb\u00e9m agrad\u00e1vel o solta t\u00e1 nascendo bem", "start": 1817.75, "duration": 5.81}, {"text": "bonito assim voc\u00ea segue caminhando e", "start": 1820.54, "duration": 6.24}, {"text": "voc\u00ea chega de frente para uma t\u00e1 lisinho", "start": 1823.56, "duration": 7.03}, {"text": "tem uma bem fechado indo para frente", "start": 1826.78, "duration": 5.58}, {"text": "seguindo em dire\u00e7\u00e3o ao Vilarejo \u00e9 um", "start": 1830.59, "duration": 3.72}, {"text": "atalho que o menino j\u00e1 fez antes n\u00e9 tipo", "start": 1832.36, "duration": 3.48}, {"text": "embora as coisas a\u00ed t\u00e1 acostumada a", "start": 1834.31, "duration": 3.39}, {"text": "fazer esse atalho Ent\u00e3o \u00e9 isso eu vou", "start": 1835.84, "duration": 3.63}, {"text": "perguntar mesmo voc\u00ea segue ent\u00e3o para", "start": 1837.7, "duration": 4.26}, {"text": "Floresta sigo para Floresta", "start": 1839.47, "duration": 3.319}, {"text": "E", "start": 1841.96, "duration": 5.63}, {"text": "voc\u00ea come\u00e7a a caminhar pelo Mato fechado", "start": 1842.789, "duration": 6.87}, {"text": "voc\u00ea ouve sons", "start": 1847.59, "duration": 4.66}, {"text": "n\u00e3o \u00e9 busto pr\u00f3ximo", "start": 1849.659, "duration": 4.631}, {"text": "bom e voc\u00ea Segue reto e nada acontece", "start": 1852.25, "duration": 5.31}, {"text": "Voc\u00ea atravessa a floresta inteira e", "start": 1854.29, "duration": 6.54}, {"text": "chega no outro lado do seu atalho E voc\u00ea", "start": 1857.56, "duration": 7.11}, {"text": "j\u00e1 v\u00ea todo o vilarejo de tipo alguns dos", "start": 1860.83, "duration": 4.91}, {"text": "moradores", "start": 1864.67, "duration": 4.2}, {"text": "come\u00e7ando os seus dias voc\u00ea v\u00ea Wagner o", "start": 1865.74, "duration": 4.78}, {"text": "linha dura mais ao lado j\u00e1 preparando o", "start": 1868.87, "duration": 4.38}, {"text": "seu Machado indo cortar lenha voc\u00ea v\u00ea", "start": 1870.52, "duration": 5.01}, {"text": "mais \u00e0 frente a Ma\u00edra levando o seu", "start": 1873.25, "duration": 4.47}, {"text": "filho Yan para escolinha voc\u00ea v\u00ea a", "start": 1875.53, "duration": 3.26}, {"text": "professora", "start": 1877.72, "duration": 3.66}, {"text": "na frente da escolinha esperando por ele", "start": 1878.79, "duration": 5.43}, {"text": "e o marido da professora saindo de casa", "start": 1881.38, "duration": 7.8}, {"text": "para ir trabalhar e voc\u00ea tamb\u00e9m ver um", "start": 1884.22, "duration": 6.94}, {"text": "pouco mais \u00e0 frente", "start": 1889.18, "duration": 5.46}, {"text": "o Barnab\u00e9 o Mercador e a filhinha dele", "start": 1891.16, "duration": 7.8}, {"text": "amora vendo carinho no gatinho", "start": 1894.64, "duration": 8.94}, {"text": "e eu vou at\u00e9 l\u00e1 \u00e9 bom dia Barnab\u00e9 ele", "start": 1898.96, "duration": 6.18}, {"text": "tava ele tava tipo sorrindo assim vendo", "start": 1903.58, "duration": 4.86}, {"text": "a filha a filha fofinha dele dando o", "start": 1905.14, "duration": 6.81}, {"text": "carinha do gatinho o Barnab\u00e9 ele \u00e9 um", "start": 1908.44, "duration": 5.31}, {"text": "cara ele \u00e9 meio gordinho assim ele tem o", "start": 1911.95, "duration": 3.75}, {"text": "cabelo meio meio lambidinha para o lado", "start": 1913.75, "duration": 5.1}, {"text": "a ele tem a barba por fazer e t\u00e1 sempre", "start": 1915.7, "duration": 5.88}, {"text": "usando o mesmo avental marrom e a filha", "start": 1918.85, "duration": 5.25}, {"text": "dele amora elas v\u00e3o a jaquetinha Azul um", "start": 1921.58, "duration": 5.37}, {"text": "cachecol o clima na ilha n\u00e3o \u00e9 muito", "start": 1924.1, "duration": 6.42}, {"text": "quente apesar de ser Tropical a essa", "start": 1926.95, "duration": 6.54}, {"text": "imprimir o gelado por aqui ela t\u00e1 ela", "start": 1930.52, "duration": 5.879}, {"text": "usa uma a roupas maiores do que ela como", "start": 1933.49, "duration": 4.289}, {"text": "se ela tivesse pego emprestado de outras", "start": 1936.399, "duration": 2.391}, {"text": "pessoas", "start": 1937.779, "duration": 2.891}, {"text": "oi e ela tamb\u00e9m o carinho no gatinho", "start": 1938.79, "duration": 4.8}, {"text": "amarelinho fofinho que voc\u00ea conhece \u00e9 o", "start": 1940.67, "duration": 6.55}, {"text": "gatinho da Vila o bisteca O barbeiro t\u00e1", "start": 1943.59, "duration": 6.72}, {"text": "ele t\u00e1 com a sua molinha assim ele falou", "start": 1947.22, "duration": 4.91}, {"text": "dia Lilo", "start": 1950.31, "duration": 4.26}, {"text": "n\u00e3o pegar os peixes de ontem que teu pai", "start": 1952.13, "duration": 5.35}, {"text": "deixou Exatamente \u00e9 enquanto eu come\u00e7o", "start": 1954.57, "duration": 4.41}, {"text": "essa esse de \u00e1gua com ele eu s\u00f3 vou", "start": 1957.48, "duration": 4.32}, {"text": "agachar sem falar bom dia mora a\u00ed eu dou", "start": 1958.98, "duration": 6.03}, {"text": "um carinho no bisteca ela ela tem um", "start": 1961.8, "duration": 5.46}, {"text": "abra\u00e7o assim ele voc\u00ea d\u00e1 um tapinha na", "start": 1965.01, "duration": 3.57}, {"text": "cabe\u00e7a dela como \u00e9 que o bicho vai", "start": 1967.26, "duration": 5.19}, {"text": "cantar Oi t\u00e1 bem t\u00e1 bem t\u00e1 l\u00e1 pronta", "start": 1968.58, "duration": 6.979}, {"text": "para bisteca assim eu vejo para voc\u00ea", "start": 1972.45, "duration": 4.979}, {"text": "a\u00ed eu volto a falar para ver nada n\u00e9", "start": 1975.559, "duration": 4.891}, {"text": "ent\u00e3o \u00e9 30 graus peixe", "start": 1977.429, "duration": 5.541}, {"text": "comigo ent\u00e3o vou ali no mercado amanh\u00e3", "start": 1980.45, "duration": 5.559}, {"text": "cedo voc\u00ea vai at\u00e9 at\u00e9 escolher sozinho", "start": 1982.97, "duration": 5.139}, {"text": "ele aponta na dire\u00e7\u00e3o da casa maior que", "start": 1986.009, "duration": 4.26}, {"text": "voc\u00ea sabe que tamb\u00e9m \u00e9 uma escola voc\u00ea", "start": 1988.109, "duration": 4.62}, {"text": "aprendeu a ler e escrever l\u00e1 ela pode", "start": 1990.269, "duration": 5.061}, {"text": "deixar papai e ela sai correndo", "start": 1992.729, "duration": 4.701}, {"text": "em toda felizinha para tentar o que n\u00e3o", "start": 1995.33, "duration": 5.07}, {"text": "sa\u00fade que a outra crian\u00e7a no vilarejo e", "start": 1997.43, "duration": 6.68}, {"text": "o bisteca Vai correndo atr\u00e1s dela", "start": 2000.4, "duration": 3.71}, {"text": "bom ent\u00e3o eu n\u00e3o abri ainda o mercado", "start": 2004.14, "duration": 3.78}, {"text": "mas", "start": 2006.91, "duration": 5.49}, {"text": "os peixes t\u00e3o t\u00e3o no cont\u00e9m daqui a", "start": 2007.92, "duration": 6.49}, {"text": "gente deixou ontem para voc\u00ea levar l\u00e1 no", "start": 2012.4, "duration": 3.17}, {"text": "teu pai t\u00e1 bem", "start": 2014.41, "duration": 3.75}, {"text": "sabe como \u00e9 mais uma noite passo fora de", "start": 2015.57, "duration": 6.66}, {"text": "casa o pai assim pracinha Mas o que", "start": 2018.16, "duration": 6.41}, {"text": "importa que ele seja segura ele d\u00e1 ver", "start": 2022.23, "duration": 5.54}, {"text": "como \u00e9 que t\u00e1 T\u00e1 bem eu t\u00f4 sempre bem", "start": 2024.57, "duration": 6.35}, {"text": "ah e hoje tem alguma coisa nova pra", "start": 2027.77, "duration": 6.18}, {"text": "gente fazer eu ver imagina voc\u00eas v\u00e3o", "start": 2030.92, "duration": 4.53}, {"text": "caminhando em dire\u00e7\u00e3o ao mercadinho que", "start": 2033.95, "duration": 2.91}, {"text": "\u00e9 logo ao lado de onde voc\u00eas est\u00e3o eu", "start": 2035.45, "duration": 4.02}, {"text": "vou levando voc\u00eas para l\u00e1 a pelo t\u00e1", "start": 2036.86, "duration": 5.12}, {"text": "sabendo da novidade n\u00e3o", "start": 2039.47, "duration": 4.85}, {"text": "e come\u00e7a a quantidade de finalmente", "start": 2041.98, "duration": 3.84}, {"text": "alguma coisa nova n\u00e3o ser\u00e1 que saiu", "start": 2044.32, "duration": 4.23}, {"text": "acredite se quiser um pouquinho aqui s\u00f3", "start": 2045.82, "duration": 7.17}, {"text": "Ah t\u00e1 chegando gente nova na ilha gente", "start": 2048.55, "duration": 6.17}, {"text": "nova na", "start": 2052.99, "duration": 3.99}, {"text": "uma vez que tem algu\u00e9m novo aqui na ilha", "start": 2054.72, "duration": 2.939}, {"text": "que", "start": 2056.98, "duration": 3.689}, {"text": "o Adriano tava falando outro dia vai vir", "start": 2057.659, "duration": 7.27}, {"text": "um parece que um um franc\u00eas n\u00e3o entendi", "start": 2060.669, "duration": 7.081}, {"text": "direito Eles v\u00e3o ficar na mans\u00e3o por uns", "start": 2064.929, "duration": 3.921}, {"text": "dias", "start": 2067.75, "duration": 4.02}, {"text": "estava de gatinha para voc\u00ea hein d\u00e1 uma", "start": 2068.85, "duration": 4.059}, {"text": "piscadinha ele fica Clara a", "start": 2071.77, "duration": 3.2}, {"text": "desconfort\u00e1vel", "start": 2072.909, "duration": 5.99}, {"text": "t\u00f4 brincando n\u00e3o \u00e9", "start": 2074.97, "duration": 3.929}, {"text": "comport\u00e1vel ainda", "start": 2080.46, "duration": 5.669}, {"text": "ent\u00e3o", "start": 2083.129, "duration": 3.0}, {"text": "eu n\u00e3o sei muito bem", "start": 2092.609, "duration": 3.54}, {"text": "falou alguma coisa a\u00ed", "start": 2097.02, "duration": 4.839}, {"text": "e voc\u00ea sabe que bom que \u00f3timo eu que", "start": 2101.96, "duration": 6.36}, {"text": "precisam nem da outra vez eu conheci uma", "start": 2106.369, "duration": 4.321}, {"text": "pessoa nova voc\u00ea tem que levar para o", "start": 2108.32, "duration": 3.87}, {"text": "barco gente talvez voc\u00ea vai encontrar", "start": 2110.69, "duration": 4.169}, {"text": "eles mesmo eu fui encontrar o Barnab\u00e9 e", "start": 2112.19, "duration": 5.63}, {"text": "os do bar aberto o", "start": 2114.859, "duration": 2.961}, {"text": "padre Ent\u00e3o eu", "start": 2120.22, "duration": 5.2}, {"text": "estou esperando voc\u00eas l\u00e1 para homens Ok", "start": 2122.38, "duration": 5.95}, {"text": "deixa eu pegar ele vai ele passa por", "start": 2125.42, "duration": 5.25}, {"text": "tr\u00e1s do balc\u00e3o a\u00ed ele te entrega uma", "start": 2128.33, "duration": 4.89}, {"text": "caixa com todos os peixes que o seu pai", "start": 2130.67, "duration": 4.49}, {"text": "deixou no dia anterior", "start": 2133.22, "duration": 6.0}, {"text": "falei aqui ele entrega para voc\u00ea ok eu", "start": 2135.16, "duration": 6.61}, {"text": "pego a carga \u00e9 pesada ela \u00e9 pesada ela", "start": 2139.22, "duration": 4.26}, {"text": "ver que voc\u00ea consegue carregar tava", "start": 2141.77, "duration": 2.91}, {"text": "acostumada carregar v\u00e1rias vezes", "start": 2143.48, "duration": 3.27}, {"text": "respeito perfeito mas alguma coisa", "start": 2144.68, "duration": 4.89}, {"text": "porque n\u00e3o \u00e9 ou n\u00e3o \u00e9 isso \u00e9 isso daqui", "start": 2146.75, "duration": 4.77}, {"text": "a pouco vai vim a\u00ed tamb\u00e9m a gente vem", "start": 2149.57, "duration": 3.81}, {"text": "conversar um pouco mais o seu trabalho \u00e9", "start": 2151.52, "duration": 4.2}, {"text": "levar os peixe igual sempre Ent\u00e3o bom", "start": 2153.38, "duration": 5.27}, {"text": "dia para voc\u00ea bom dia e eu vou seguindo", "start": 2155.72, "duration": 6.25}, {"text": "voc\u00ea Ent\u00e3o segue em dire\u00e7\u00e3o \u00e0 Doca e", "start": 2158.65, "duration": 6.58}, {"text": "onde o Barqueiro sempre espera por voc\u00ea", "start": 2161.97, "duration": 7.11}, {"text": "mas em outro lugar dele enquanto isso", "start": 2165.23, "duration": 6.82}, {"text": "acontecia outra pessoa acorda na sua", "start": 2169.08, "duration": 5.42}, {"text": "casa", "start": 2172.05, "duration": 2.45}, {"text": "Oi B\u00e1rbara olha Gabi Por favor Me", "start": 2174.99, "duration": 7.07}, {"text": "descreva como \u00e9 a B\u00e1rbara", "start": 2178.8, "duration": 7.67}, {"text": "vamos l\u00e1 A B\u00e1rbara \u00e9 uma mo\u00e7a jovem", "start": 2182.06, "duration": 7.44}, {"text": "ela tem cabelos loiros compridos", "start": 2186.47, "duration": 5.98}, {"text": "cacheados os olhos dela s\u00e3o s\u00e3o claros", "start": 2189.5, "duration": 5.71}, {"text": "assim uma cor \u00e2mbar s\u00e3o meio amarelados", "start": 2192.45, "duration": 6.27}, {"text": "ela usa um vestido bem surrado ela tem", "start": 2195.21, "duration": 5.55}, {"text": "as m\u00e3os com as unhas um pouco sujos de", "start": 2198.72, "duration": 3.14}, {"text": "terra", "start": 2200.76, "duration": 3.96}, {"text": "e ela tem muitas queimaduras de sol no", "start": 2201.86, "duration": 5.25}, {"text": "rosto nos bra\u00e7os onde d\u00e1 para ver no", "start": 2204.72, "duration": 5.22}, {"text": "m\u00fasculo ela \u00e9 toda queimada de sol assim", "start": 2207.11, "duration": 5.35}, {"text": "e ela usa um avental tamb\u00e9m bem surgindo", "start": 2209.94, "duration": 4.47}, {"text": "por cima do vestido t\u00e1 sempre de bota a", "start": 2212.46, "duration": 5.58}, {"text": "bota t\u00e1 sempre em uma ma\u00e7ada voc\u00ea acorda", "start": 2214.41, "duration": 6.99}, {"text": "com o sol entrando pela sua janela \u00e9 E", "start": 2218.04, "duration": 6.69}, {"text": "mais uma vez voc\u00ea consegue ver e a", "start": 2221.4, "duration": 7.7}, {"text": "mans\u00e3o que voc\u00ea sempre acorda olhando", "start": 2224.73, "duration": 7.43}, {"text": "Afinal voc\u00ea mora na casa da jardineira", "start": 2229.1, "duration": 5.54}, {"text": "da mans\u00e3o", "start": 2232.16, "duration": 4.82}, {"text": "e voc\u00ea sabe tamb\u00e9m que a sua m\u00e3e", "start": 2234.64, "duration": 4.56}, {"text": "provavelmente t\u00e1 dormindo", "start": 2236.98, "duration": 4.379}, {"text": "e no quarto dela", "start": 2239.2, "duration": 3.899}, {"text": "e o que que voc\u00ea faz com essa rotina", "start": 2241.359, "duration": 2.9}, {"text": "matinal", "start": 2243.099, "duration": 3.871}, {"text": "corda do aquela esticada do lado da", "start": 2244.259, "duration": 5.86}, {"text": "minha cama eu tenho uns vasinhos n\u00e9 e eu", "start": 2246.97, "duration": 5.309}, {"text": "sempre tenho um copinho que eu deixo uma", "start": 2250.119, "duration": 4.261}, {"text": "Margarida de vez em quando eu escolhi", "start": 2252.279, "duration": 4.351}, {"text": "uma Margarida no jardinzinho e eu pego", "start": 2254.38, "duration": 4.619}, {"text": "ela do Copinho assim eu botar l\u00e1 atr\u00e1s", "start": 2256.63, "duration": 4.409}, {"text": "da orelha n\u00e3o \u00e9 Margaridas S\u00e3o flores eu", "start": 2258.999, "duration": 5.37}, {"text": "liguei l\u00e1 fora agora eu vou voltar com", "start": 2261.039, "duration": 4.73}, {"text": "uma Margarida depois", "start": 2264.369, "duration": 3.69}, {"text": "ela coloca senha florzinha atr\u00e1s da", "start": 2265.769, "duration": 5.8}, {"text": "orelha e eu sair do meu quarto o seu", "start": 2268.059, "duration": 6.331}, {"text": "quarto e voc\u00ea se depara com a sua casa", "start": 2271.569, "duration": 5.071}, {"text": "bem organizada que voc\u00ea sempre limpa e", "start": 2274.39, "duration": 4.229}, {"text": "organiza a Porque dependendo da sua m\u00e3e", "start": 2276.64, "duration": 6.119}, {"text": "e a t\u00e1 um caos eu dou uma espiadinha eu", "start": 2278.619, "duration": 5.88}, {"text": "abro um tiquinho da parte do quarto da", "start": 2282.759, "duration": 3.561}, {"text": "minha m\u00e3e para ver se ela t\u00e1 dormindo", "start": 2284.499, "duration": 6.441}, {"text": "e sempre daqui a pouco G1 Ah t\u00e1 eu dou", "start": 2286.32, "duration": 7.789}, {"text": "uma respirada Funda 5 para cozinha", "start": 2290.94, "duration": 5.79}, {"text": "a sua cozinha que tamb\u00e9m \u00e9 sua sala Voc\u00ea", "start": 2294.109, "duration": 6.821}, {"text": "s\u00f3 tem c\u00f4modo de onde voc\u00ea tem Sofia sua", "start": 2296.73, "duration": 6.45}, {"text": "mesa e os seus arm\u00e1rios tem v\u00e1rias", "start": 2300.93, "duration": 3.81}, {"text": "plantinhas decorando local \u00e9 uma casa", "start": 2303.18, "duration": 4.2}, {"text": "apesar de pequena muito confort\u00e1vel vou", "start": 2304.74, "duration": 5.01}, {"text": "eu vou eu vou pegar uns ovos eu vou", "start": 2307.38, "duration": 5.719}, {"text": "fazer um omelete vim para come\u00e7ar o dia", "start": 2309.75, "duration": 7.589}, {"text": "eu come\u00e7o a cozinhar eu quero come\u00e7ar a", "start": 2313.099, "duration": 6.161}, {"text": "sair aquele aquele cheirinho de ovinho", "start": 2317.339, "duration": 3.541}, {"text": "Frito para ver se minha m\u00e3e sair da cama", "start": 2319.26, "duration": 4.44}, {"text": "vamos que voc\u00eas se pegaram do Mercador a", "start": 2320.88, "duration": 5.13}, {"text": "n\u00e3o tem galinhas na ilha voc\u00ea \u00e9 o", "start": 2323.7, "duration": 5.07}, {"text": "barquinho Traz comida para o Mercador a\u00ed", "start": 2326.01, "duration": 5.22}, {"text": "voc\u00eas trocam pelos legumes que voc\u00eas", "start": 2328.77, "duration": 5.579}, {"text": "plant\u00e3o na hora de voc\u00eas a\u00ed eu eu fa\u00e7o", "start": 2331.23, "duration": 5.43}, {"text": "um homem Letinho assim eu pego um bota", "start": 2334.349, "duration": 5.071}, {"text": "um salzinho bota umas uns temperinho eu", "start": 2336.66, "duration": 4.199}, {"text": "espero para ver se minha m\u00e3e sentindo O", "start": 2339.42, "duration": 2.83}, {"text": "cheirinho da comida vem", "start": 2340.859, "duration": 3.401}, {"text": "Oi gata", "start": 2342.25, "duration": 2.69}, {"text": "e", "start": 2344.26, "duration": 3.71}, {"text": "eu sento para comer sozinha", "start": 2344.94, "duration": 5.98}, {"text": "voc\u00ea terminar sua refei\u00e7\u00e3o a com", "start": 2347.97, "duration": 4.54}, {"text": "tranquilidade voc\u00ea sabe pra uns tamb\u00e9m", "start": 2350.92, "duration": 3.27}, {"text": "voc\u00ea vai acordar muito tarde igual ela", "start": 2352.51, "duration": 5.64}, {"text": "sempre faz mas no dia anterior na real", "start": 2354.19, "duration": 5.61}, {"text": "h\u00e1 dois dias atr\u00e1s na \u00faltima vez que o", "start": 2358.15, "duration": 3.84}, {"text": "Adriano veio para a ilha ele comentou", "start": 2359.8, "duration": 4.65}, {"text": "com voc\u00ea Que v\u00e1rias pessoas v\u00e3o chegar", "start": 2361.99, "duration": 5.04}, {"text": "para mans\u00e3o hoje e que ele Talvez", "start": 2364.45, "duration": 4.38}, {"text": "precisasse de ajuda para levar as", "start": 2367.03, "duration": 3.8}, {"text": "bagagens deles", "start": 2368.83, "duration": 5.88}, {"text": "t\u00e1 ent\u00e3o j\u00e1 lembrando disso encher meu", "start": 2370.83, "duration": 6.07}, {"text": "bichinho eu lavo a lou\u00e7a antes de sair", "start": 2374.71, "duration": 5.18}, {"text": "guardo tudo e", "start": 2376.9, "duration": 5.52}, {"text": "antes de sair eu vou dar uma passadinha", "start": 2379.89, "duration": 6.28}, {"text": "no jardim e vou regar As flores As a", "start": 2382.42, "duration": 5.85}, {"text": "nossa hortinha saltar aqui contar com", "start": 2386.17, "duration": 5.37}, {"text": "isso logo de cara com a hortinha de", "start": 2388.27, "duration": 5.99}, {"text": "voc\u00eas que fica ao lado da porta", "start": 2391.54, "duration": 5.34}, {"text": "voc\u00ea d\u00e1 uma regadinha voc\u00ea passa ali uns", "start": 2394.26, "duration": 7.36}, {"text": "20 a 30 minutinhos regando e cuidando da", "start": 2396.88, "duration": 8.219}, {"text": "hortinha de voc\u00eas e segue em dire\u00e7\u00e3o", "start": 2401.62, "duration": 6.22}, {"text": "\u00e0 praia \u00e0 Doca", "start": 2405.099, "duration": 4.841}, {"text": "e pela Floresta", "start": 2407.84, "duration": 6.09}, {"text": "e enquanto isso a gente tem em outro", "start": 2409.94, "duration": 5.159}, {"text": "lugar Pode tirar tela agora para o", "start": 2413.93, "duration": 3.06}, {"text": "rapidinho Eu s\u00f3 preciso daqueles e o", "start": 2415.099, "duration": 3.061}, {"text": "barco aqui", "start": 2416.99, "duration": 6.39}, {"text": "\u00e9 a voc\u00eas a Camille e Olivier voc\u00eas", "start": 2418.16, "duration": 9.61}, {"text": "chegaram na ilha o barco j\u00e1 atacou", "start": 2423.38, "duration": 7.51}, {"text": "E abaixa o nome da do mar \u00e9 s\u00f3 o barco", "start": 2427.77, "duration": 6.06}, {"text": "atacou e voc\u00eas come\u00e7aram a descer e", "start": 2430.89, "duration": 7.5}, {"text": "levar todas as bagagens de voc\u00eas", "start": 2433.83, "duration": 7.67}, {"text": "a trilha Pode mostrar j\u00e1", "start": 2438.39, "duration": 4.54}, {"text": "e a", "start": 2441.5, "duration": 5.04}, {"text": "Angelina a m\u00e3e de voc\u00eas trouxe muita", "start": 2442.93, "duration": 5.38}, {"text": "coisa ela trouxe muito mais do que ela", "start": 2446.54, "duration": 4.62}, {"text": "deveria trazer e o motel t\u00e1 reclamando", "start": 2448.31, "duration": 6.03}, {"text": "com ela precisava trazer todas as roupas", "start": 2451.16, "duration": 4.92}, {"text": "eu t\u00f4 surpresa arrumar meu de roupa", "start": 2454.34, "duration": 5.1}, {"text": "Angelina pelo amor de Deus ela s\u00f3 mais", "start": 2456.08, "duration": 4.56}, {"text": "uma vez que em forma de mais alguma", "start": 2459.44, "duration": 3.5}, {"text": "coisa motel e o", "start": 2460.64, "duration": 4.82}, {"text": "o Adriano Barqueiro da", "start": 2462.94, "duration": 5.05}, {"text": "levando todas as mais pesadas e", "start": 2465.46, "duration": 4.03}, {"text": "carregando", "start": 2467.99, "duration": 4.35}, {"text": "e o que voc\u00eas fazem eu pergunto quanto a", "start": 2469.49, "duration": 4.17}, {"text": "bagagem que era onde voc\u00eas trouxe tamb\u00e9m", "start": 2472.34, "duration": 4.32}, {"text": "um", "start": 2473.66, "duration": 3.0}, {"text": "os bot\u00f5es", "start": 2477.17, "duration": 5.909}, {"text": "bastante Ela \u00e9 bem n\u00e3o aparenta Mas \u00e9", "start": 2479.74, "duration": 5.14}, {"text": "uma ele ela \u00e9 um pouquinho vai idosos", "start": 2483.079, "duration": 3.901}, {"text": "assim ela tem sua vaidade tanto que ela", "start": 2484.88, "duration": 3.63}, {"text": "olha em volta assim na ilha quando ela", "start": 2486.98, "duration": 5.24}, {"text": "chegou e ela fica assim", "start": 2488.51, "duration": 3.71}, {"text": "por que motivo o ambiente voc\u00ea chegaram", "start": 2493.829, "duration": 6.27}, {"text": "\u00e9 tem uma pequena cabaninha mais \u00e0", "start": 2497.64, "duration": 4.919}, {"text": "frente meio meu antigo enferrujada eu", "start": 2500.099, "duration": 3.93}, {"text": "pedi para o pessoal a gente vai", "start": 2502.559, "duration": 3.21}, {"text": "controlar mesa deixa ela um pouco mais", "start": 2504.029, "duration": 3.601}, {"text": "distante e mais parado sobre o pessoal", "start": 2505.769, "duration": 5.49}, {"text": "ver direitinho como e onde est\u00e3o a voc\u00eas", "start": 2507.63, "duration": 5.489}, {"text": "v\u00e3o uma pequena a cabaninha mais \u00e0", "start": 2511.259, "duration": 5.04}, {"text": "frente meio improvisado de de para", "start": 2513.119, "duration": 4.771}, {"text": "guardar algumas coisas voc\u00ea vem o Adrian", "start": 2516.299, "duration": 3.871}, {"text": "indo l\u00e1 em dire\u00e7\u00e3o a essa cabaninha e", "start": 2517.89, "duration": 4.679}, {"text": "mais \u00e0 esquerda \u00e9 imposs\u00edvel n\u00e3o ver um", "start": 2520.17, "duration": 6.899}, {"text": "grande farol muito antigo e sujo a que", "start": 2522.569, "duration": 6.26}, {"text": "t\u00e1 desligado", "start": 2527.069, "duration": 6.54}, {"text": "T\u00e1 pelo que eu reclamar porque ou \u00e9 bem", "start": 2528.829, "duration": 7.121}, {"text": "que os que eu pensei aqui eu achava que", "start": 2533.609, "duration": 3.93}, {"text": "ia ser bom papai Valeu que arrumar ainda", "start": 2535.95, "duration": 3.409}, {"text": "para rep\u00fablica n\u00e3o uma ilha paradis\u00edaca", "start": 2537.539, "duration": 5.851}, {"text": "Como assim \u00f3 s\u00f3 porque t\u00e1 sensor s\u00f3", "start": 2539.359, "duration": 5.531}, {"text": "porque no grupo um pouquinho tempo agora", "start": 2543.39, "duration": 3.629}, {"text": "n\u00e3o \u00e9 mais uma praia n\u00e3o \u00e9 mais nunca", "start": 2544.89, "duration": 4.609}, {"text": "para testar e levar roupa raiz aqui tem", "start": 2547.019, "duration": 7.221}, {"text": "859 milh\u00f5es de anos E a\u00ed t\u00e1 sujo ele", "start": 2549.499, "duration": 7.531}, {"text": "deve ter Tiago de horr\u00edvel coc\u00f4 de", "start": 2554.24, "duration": 6.39}, {"text": "pelicano a \u00c2ngela ela ela ou voc\u00ea", "start": 2557.03, "duration": 5.85}, {"text": "falando a vida por motel \u00e9 n\u00e3o tenho n\u00e3o", "start": 2560.63, "duration": 4.56}, {"text": "era uma ilha paradis\u00edaca \u00e9 extremamente", "start": 2562.88, "duration": 4.08}, {"text": "requisitado por turistas n\u00e3o t\u00f4 vendo", "start": 2565.19, "duration": 4.47}, {"text": "nenhum turista aqui olha s\u00f3 eu vou mexer", "start": 2566.96, "duration": 6.15}, {"text": "no meu celular e eu espero me distrair", "start": 2569.66, "duration": 6.42}, {"text": "desse lixo \u00e9 verdade eu tamb\u00e9m pelo", "start": 2573.11, "duration": 4.88}, {"text": "menos v\u00e3o postar um Store", "start": 2576.08, "duration": 6.32}, {"text": "e n\u00e3o tem n\u00e3o mama e joga um de 20 para", "start": 2577.99, "duration": 6.21}, {"text": "mim por favor tem quantos anos voc\u00ea tem", "start": 2582.4, "duration": 4.58}, {"text": "mama mama", "start": 2584.2, "duration": 5.8}, {"text": "l\u00e1 n\u00e3o tem internet", "start": 2586.98, "duration": 3.02}, {"text": "eu tenho doze por cento de bateria n\u00e3o", "start": 2590.06, "duration": 6.059}, {"text": "tem 12 porcento de bateria", "start": 2592.859, "duration": 6.471}, {"text": "do celular eu", "start": 2596.119, "duration": 9.49}, {"text": "pego assim para mim voc\u00ea \u00e9", "start": 2599.33, "duration": 6.279}, {"text": "e voc\u00eas n\u00e3o tem bateria ela", "start": 2608.66, "duration": 6.36}, {"text": "Montel frente voc\u00ea me voc\u00ea me prometeu", "start": 2611.92, "duration": 5.08}, {"text": "que teria pelo menos internet ele est\u00e1", "start": 2615.02, "duration": 3.14}, {"text": "Ilha", "start": 2617.0, "duration": 4.5}, {"text": "do Amor como isso acaba eu tenho que ir", "start": 2618.16, "duration": 4.99}, {"text": "analisar os atos do pintor como que eu", "start": 2621.5, "duration": 4.829}, {"text": "vou saber que vai ter um carro a famoso", "start": 2623.15, "duration": 4.38}, {"text": "a Camille Leonardo achei que eu tenho", "start": 2626.329, "duration": 4.401}, {"text": "Internet aqui pa pa tem luz aqui tem luz", "start": 2627.53, "duration": 6.809}, {"text": "energia el\u00e9trica Oster companhia de", "start": 2630.73, "duration": 6.579}, {"text": "energia voc\u00ea voc\u00ea Ouvi Passos Vindo de", "start": 2634.339, "duration": 4.891}, {"text": "tr\u00e1s o seu pai chega aquele cara de", "start": 2637.309, "duration": 3.621}, {"text": "chap\u00e9u \u00e9", "start": 2639.23, "duration": 4.139}, {"text": "desculpa usar n\u00e3o vai ter nada disso", "start": 2640.93, "duration": 5.889}, {"text": "aqui n\u00e3o viu n\u00e3o tem mal de eletricidade", "start": 2643.369, "duration": 5.371}, {"text": "alguns lugares aqui eu n\u00e3o tenho muito", "start": 2646.819, "duration": 4.081}, {"text": "prazer meu nome \u00e9 Cavalcante Bueno ele", "start": 2648.74, "duration": 4.44}, {"text": "estica a m\u00e3o para para se apresentar", "start": 2650.9, "duration": 5.04}, {"text": "para voc\u00eas o motel Ele olha assim e voc\u00ea", "start": 2653.18, "duration": 3.899}, {"text": "ver que n\u00e3o esse cara dele tem um", "start": 2655.94, "duration": 4.77}, {"text": "cart\u00e3ozinho de neg\u00f3cios eles ficam para", "start": 2657.079, "duration": 6.331}, {"text": "um de voc\u00eas o olho assim que eu sou o", "start": 2660.71, "duration": 4.649}, {"text": "melhor a lista de im\u00f3veis que tu vai", "start": 2663.41, "duration": 4.06}, {"text": "conhecer", "start": 2665.359, "duration": 2.76}, {"text": "e", "start": 2667.47, "duration": 3.1}, {"text": "voc\u00ea pega pega pega a\u00ed", "start": 2668.119, "duration": 6.211}, {"text": "[Risadas]", "start": 2670.57, "duration": 3.76}, {"text": "vem uma pequena", "start": 2674.72, "duration": 5.72}, {"text": "\u00e9 um pequeno cart\u00e3ozinho de neg\u00f3cio Puxa", "start": 2677.92, "duration": 3.409}, {"text": "ele pra c\u00e1", "start": 2680.44, "duration": 3.27}, {"text": "falei para mais pro lado", "start": 2681.329, "duration": 7.54}, {"text": "a imobili\u00e1ria fachada Cavalcante koury e", "start": 2683.71, "duration": 7.71}, {"text": "e eu n\u00e3o quero saber da imobili\u00e1ria Eu", "start": 2688.869, "duration": 4.591}, {"text": "quero luz quando voc\u00ea vender por cento", "start": 2691.42, "duration": 5.22}, {"text": "de bateria aa", "start": 2693.46, "duration": 3.18}, {"text": "e a e parece assim s\u00f3 para deixar voc\u00eas", "start": 2696.9, "duration": 6.62}, {"text": "v\u00e3o entrar por dentro \u00e9 a pintura daqui", "start": 2700.08, "duration": 5.12}, {"text": "mas ele desapareceu uma pelo menos uns", "start": 2703.52, "duration": 4.44}, {"text": "20 anos viu ent\u00e3o assim amanh\u00e3 voc\u00ea n\u00e3o", "start": 2705.2, "duration": 4.83}, {"text": "vai estar nutrientes eu t\u00f4 indo l\u00e1 em", "start": 2707.96, "duration": 3.63}, {"text": "fuzil para analisar quanto a gente pode", "start": 2710.03, "duration": 3.81}, {"text": "vender essa bagatela a\u00ed eles apareceu", "start": 2711.59, "duration": 4.23}, {"text": "aqui na ilha viu desapareceu dentro da", "start": 2713.84, "duration": 3.39}, {"text": "mans\u00e3o vai aqui uma coisa assim eu n\u00e3o", "start": 2715.82, "duration": 3.3}, {"text": "entendi muito bem a que legal papai o", "start": 2717.23, "duration": 3.78}, {"text": "senhor gente teve um lugar sem ele ele \u00e9", "start": 2719.12, "duration": 3.18}, {"text": "desligar vou ter que ajudar ele \u00e9 um", "start": 2721.01, "duration": 4.77}, {"text": "p\u00e1gina e o homem sumiu dentro quando a", "start": 2722.3, "duration": 7.01}, {"text": "casa Ah que bom t\u00e1 voc\u00eas vem que o", "start": 2725.78, "duration": 6.87}, {"text": "Cavalcante ele tem uma maletinha estou", "start": 2729.31, "duration": 4.66}, {"text": "trouxe uma maletinha o seu sonho v\u00e1rias", "start": 2732.65, "duration": 3.48}, {"text": "malas para ficar muito tempo ele s\u00f3 tem", "start": 2733.97, "duration": 3.56}, {"text": "uma maletinha de m\u00e3o ele t\u00e1 carregando", "start": 2736.13, "duration": 4.39}, {"text": "uma maletinha preta pequena", "start": 2737.53, "duration": 6.04}, {"text": "Ah t\u00e1 ele vai ficar com voc\u00ea t\u00e1", "start": 2740.52, "duration": 6.78}, {"text": "tudo isso aqui n\u00e3o sei muito obra coca o", "start": 2743.57, "duration": 8.1}, {"text": "bolso comigo se quiser mas aqui \u00f3", "start": 2747.3, "duration": 4.37}, {"text": "fechando a porta da", "start": 2753.08, "duration": 5.59}, {"text": "cabaninha mais ao lado e voc\u00eas vem ele", "start": 2755.6, "duration": 4.66}, {"text": "trazendo ele com pacotinho de uma", "start": 2758.67, "duration": 4.14}, {"text": "sacolinha na m\u00e3o \u00e9 um empacotadinho", "start": 2760.26, "duration": 4.94}, {"text": "assim e uma lamparina", "start": 2762.81, "duration": 6.78}, {"text": "ele vai at\u00e9 voc\u00eas eu tenho que terminou", "start": 2765.2, "duration": 6.97}, {"text": "de pegar as malas de todo mundo l\u00e1 do", "start": 2769.59, "duration": 4.47}, {"text": "barco Algu\u00e9m pode me fazer um favor e", "start": 2772.17, "duration": 3.77}, {"text": "levar esse pacotinho ali para o", "start": 2774.06, "duration": 4.08}, {"text": "faroleiro que t\u00e1 aqui t\u00e1 dormindo no", "start": 2775.94, "duration": 5.32}, {"text": "topo do Farol eu pego pacotinho assim \u00f3", "start": 2778.14, "duration": 6.09}, {"text": "com a ponta dos dedos \u00e9 pesado pacotinho", "start": 2781.26, "duration": 5.73}, {"text": "ele pesa de umas 500 gramas Voc\u00ea parece", "start": 2784.23, "duration": 5.07}, {"text": "uma hora ou ela pega cinco os dois", "start": 2786.99, "duration": 5.97}, {"text": "dedinhos e fala eu levo a\u00ed ele entrega", "start": 2789.3, "duration": 5.1}, {"text": "para voc\u00ea a\u00ed voc\u00ea vai precisar de isso", "start": 2792.96, "duration": 3.06}, {"text": "aqui eu acho ele te entrega uma", "start": 2794.4, "duration": 4.41}, {"text": "lamparina que o farol \u00e9 meio escuro", "start": 2796.02, "duration": 4.54}, {"text": "dentro de casa s\u00f3 para avisar ela Oi", "start": 2798.81, "duration": 5.07}, {"text": "linda uma caca o cart\u00e3ozinho perfeito", "start": 2800.56, "duration": 5.91}, {"text": "eu vou dar uma recomendo a senhora ele", "start": 2803.88, "duration": 4.93}, {"text": "pode foi t\u00e1 dormindo \u00e9 que eu t\u00f4 falando", "start": 2806.47, "duration": 4.38}, {"text": "acordar ele que as vezes ele \u00e9 meio", "start": 2808.81, "duration": 4.89}, {"text": "estranho colei acorda com isso vou", "start": 2810.85, "duration": 6.18}, {"text": "deixar na mesa l\u00e1 em cima t\u00e1 vai almo\u00e7ar", "start": 2813.7, "duration": 7.08}, {"text": "l\u00e1 em cima consegui achar voc\u00ea pega um", "start": 2817.03, "duration": 6.59}, {"text": "pacotinho que vai farol sozinha", "start": 2820.78, "duration": 4.55}, {"text": "sozinho", "start": 2823.62, "duration": 4.71}, {"text": "vai", "start": 2825.33, "duration": 3.0}, {"text": "fazendo outra coisa agora", "start": 2832.32, "duration": 8.46}, {"text": "[Risadas]", "start": 2836.72, "duration": 6.44}, {"text": "pelo menos uma oportunidade para tu", "start": 2840.78, "duration": 6.19}, {"text": "ficar na tua irm\u00e3 e", "start": 2843.16, "duration": 3.81}, {"text": "e eu n\u00e3o vou sozinha vou levar esse lixo", "start": 2860.51, "duration": 7.37}, {"text": "n\u00e3o atrav\u00e9s da", "start": 2864.83, "duration": 3.05}, {"text": "Espera a\u00ed", "start": 2868.87, "duration": 4.87}, {"text": "se voc\u00ea encostar em mim eu pisou na sua", "start": 2871.0, "duration": 5.49}, {"text": "cabe\u00e7a ent\u00e3o s\u00e3o coisas que", "start": 2873.74, "duration": 6.11}, {"text": "lixo voc\u00ea vai pegar", "start": 2876.49, "duration": 7.11}, {"text": "hepatite ele sabe l\u00e1", "start": 2879.85, "duration": 6.81}, {"text": "na frente", "start": 2883.6, "duration": 3.06}, {"text": "de pedra", "start": 2896.77, "duration": 6.33}, {"text": "com esse grande farol", "start": 2898.87, "duration": 4.23}, {"text": "ele t\u00e1 muito sujo e acabado tem uma", "start": 2903.82, "duration": 7.62}, {"text": "porta de madeira na frente de voc\u00eas \u00e9 e", "start": 2907.55, "duration": 7.289}, {"text": "esse favor para ver se voc\u00ea n\u00e3o tiver", "start": 2911.44, "duration": 4.5}, {"text": "acabado", "start": 2914.839, "duration": 3.891}, {"text": "eu", "start": 2915.94, "duration": 4.59}, {"text": "sou mais", "start": 2918.73, "duration": 5.52}, {"text": "eu t\u00f4 se colocar no lixo aqui \u00f3 \u00f3", "start": 2920.53, "duration": 8.02}, {"text": "Eu quero empurrar a porta com o p\u00e9 voc\u00ea", "start": 2924.25, "duration": 5.89}, {"text": "vai empurrando a porta ela ela nem", "start": 2928.55, "duration": 3.68}, {"text": "tranca a senhora t\u00e1 aberto e voc\u00ea", "start": 2930.14, "duration": 5.939}, {"text": "a porta vai abrindo e voc\u00eas vem que o", "start": 2932.23, "duration": 7.96}, {"text": "farol \u00e9 bem escuro dentro dele a Juju", "start": 2936.079, "duration": 6.04}, {"text": "prepara aqui perfeito", "start": 2940.19, "duration": 4.389}, {"text": "e deixa eu apagar a luz flor \u00e9 muito", "start": 2942.119, "duration": 5.781}, {"text": "escuro n\u00e3o consegue enxergar dentro dele", "start": 2944.579, "duration": 6.901}, {"text": "\u00e9 eu esqueci o celular a\u00ed eu tenho -", "start": 2947.9, "duration": 8.429}, {"text": "bateria eu tenho sorte como eu n\u00e3o", "start": 2951.48, "duration": 4.849}, {"text": "preciso preciso", "start": 2969.41, "duration": 4.0}, {"text": "O que \u00e9 para vender aqui \u00f3 voc\u00ea faz isso", "start": 2974.289, "duration": 6.121}, {"text": "\u00e9", "start": 2977.41, "duration": 3.0}, {"text": "Ah t\u00e1 mas s\u00f3 que n\u00e3o tem Muito amarelo", "start": 2980.64, "duration": 4.37}, {"text": "campe\u00e3o", "start": 2983.359, "duration": 4.901}, {"text": "vira a voc\u00ea virar chaveiro l'appel um", "start": 2985.01, "duration": 5.71}, {"text": "fogo se liga a\u00ed o Android tem uma um", "start": 2988.26, "duration": 5.609}, {"text": "vidro m\u00eas verdiado a dando uma luz bem", "start": 2990.72, "duration": 5.78}, {"text": "Verde deixa eu puxar aqui", "start": 2993.869, "duration": 4.75}, {"text": "Bom dia", "start": 2996.5, "duration": 4.67}, {"text": "e n\u00e3o fique bonito mexe tem respira\u00e7\u00e3o", "start": 2998.619, "duration": 5.25}, {"text": "movimento o cabelo dela tem movimento e", "start": 3001.17, "duration": 4.619}, {"text": "agora Voc\u00eas conseguem ver melhor dentro", "start": 3003.869, "duration": 3.551}, {"text": "voc\u00ea vem aqui no farol", "start": 3005.789, "duration": 5.711}, {"text": "e pode influir voc\u00eas entram no farol do", "start": 3007.42, "duration": 5.51}, {"text": "ambiente ele \u00e9 meio", "start": 3011.5, "duration": 5.16}, {"text": "estranho a parece mais folgado", "start": 3012.93, "duration": 5.32}, {"text": "abandonado parece que ningu\u00e9m entra que", "start": 3016.66, "duration": 4.439}, {"text": "\u00e9 muito tempo voc\u00eas vem mais atr\u00e1s \u00e9 um", "start": 3018.25, "duration": 5.069}, {"text": "aumento mistura circular tem uma escada", "start": 3021.099, "duration": 4.801}, {"text": "mais \u00e0 direita e \u00e0 esquerda de voc\u00eas e", "start": 3023.319, "duration": 4.74}, {"text": "embaixo da escada tem algumas caixas e", "start": 3025.9, "duration": 4.74}, {"text": "cordas velhas a gente t\u00e1 entrando a", "start": 3028.059, "duration": 5.431}, {"text": "primeira cena de investiga\u00e7\u00e3o da do", "start": 3030.64, "duration": 5.52}, {"text": "segredo na ilha cada um pouco vai ter", "start": 3033.49, "duration": 4.2}, {"text": "alguns pontos de interesse que voc\u00eas", "start": 3036.16, "duration": 3.81}, {"text": "podem investigar os Pode s\u00f3 entregar a", "start": 3037.69, "duration": 3.899}, {"text": "parada que voc\u00eas querem entregar e", "start": 3039.97, "duration": 6.579}, {"text": "voltar do Farol me diz o que fazer hoje", "start": 3041.589, "duration": 7.681}, {"text": "tem que entregar isso a\u00ed o fam\u00edlia", "start": 3046.549, "duration": 4.301}, {"text": "\u00e9 putz", "start": 3049.27, "duration": 6.15}, {"text": "ent\u00e3o sabes l\u00e1 o neg\u00f3cio aqui \u00f3 eu", "start": 3050.85, "duration": 6.97}, {"text": "peguei fazer bondade com o menino", "start": 3055.42, "duration": 3.41}, {"text": "pobrezinho", "start": 3057.82, "duration": 4.44}, {"text": "eu t\u00f4 fazendo a vontade Entendi ent\u00e3o \u00e9", "start": 3058.83, "duration": 5.62}, {"text": "voc\u00ea n\u00e3o sabe o que fazer o que tem ele", "start": 3062.26, "duration": 4.77}, {"text": "me falou pega esse lixo e leva na\u00edla", "start": 3064.45, "duration": 6.84}, {"text": "merda eu falei [\u00a0__\u00a0] peguei e tu", "start": 3067.03, "duration": 5.94}, {"text": "conseguiu colocar ele falou deixa em", "start": 3071.29, "duration": 4.49}, {"text": "cima da", "start": 3072.97, "duration": 2.81}, {"text": "em qualquer lugar Beleza voc\u00ea tem nesse", "start": 3076.829, "duration": 4.621}, {"text": "aqui n\u00e3o sei que eu sou uma mesmo", "start": 3080.009, "duration": 4.921}, {"text": "arm\u00e1rio voc\u00eas v\u00eam aqui embaixo da nas", "start": 3081.45, "duration": 5.039}, {"text": "caixas voc\u00ea tem algumas ferramentas que", "start": 3084.93, "duration": 3.839}, {"text": "eu j\u00e1 tem umas facas pequenas cordas bem", "start": 3086.489, "duration": 5.25}, {"text": "velhas e tem um cilindros enferrujados", "start": 3088.769, "duration": 5.69}, {"text": "mais atr\u00e1s", "start": 3091.739, "duration": 5.641}, {"text": "o que que \u00e9 isso no meio a\u00ed na sala a\u00ed \u00e9", "start": 3094.459, "duration": 5.35}, {"text": "uma maneira de parede Redonda que sobe", "start": 3097.38, "duration": 4.829}, {"text": "n\u00e9 sobre as coisas dos outros l\u00e1bios", "start": 3099.809, "duration": 4.23}, {"text": "voc\u00ea consegue enxergar Desconsidere", "start": 3102.209, "duration": 3.36}, {"text": "voc\u00eas tipo de pequena \u00e9 um lugar pequeno", "start": 3104.039, "duration": 3.78}, {"text": "e ele tem essa escada que sobe em", "start": 3105.569, "duration": 4.761}, {"text": "espiral para o topo do Farol", "start": 3107.819, "duration": 5.111}, {"text": "quem \u00e9", "start": 3110.33, "duration": 3.95}, {"text": "E a\u00ed", "start": 3112.93, "duration": 5.4}, {"text": "e n\u00e3o joga velhote voc\u00ea d\u00e1 um d\u00e1 um", "start": 3114.28, "duration": 5.7}, {"text": "presente ent\u00e3o voc\u00eas dois com entregue", "start": 3118.33, "duration": 4.89}, {"text": "por favor \u00f3", "start": 3119.98, "duration": 3.24}, {"text": "eu sou burra velho [\u00a0__\u00a0]", "start": 3124.53, "duration": 8.11}, {"text": "18 1418 voc\u00ea escutar murm\u00farios vindo l\u00e1", "start": 3127.62, "duration": 7.26}, {"text": "de cima com uma voz", "start": 3132.64, "duration": 7.25}, {"text": "Esse n\u00famero como a voz meio arranhada", "start": 3134.88, "duration": 8.01}, {"text": "agora", "start": 3139.89, "duration": 3.0}, {"text": "n\u00e3o t\u00f4", "start": 3143.97, "duration": 8.79}, {"text": "ouvindo algu\u00e9m dormindo muito fechado", "start": 3147.36, "duration": 10.68}, {"text": "a torre do farol do cabo foi o favor", "start": 3152.76, "duration": 8.1}, {"text": "como \u00e9 que era o nome dele para colete o", "start": 3158.04, "duration": 5.16}, {"text": "v\u00f4lei fica dormindo \u00f3 ele falou para a", "start": 3160.86, "duration": 3.84}, {"text": "gente n\u00e3o acordar uma pol\u00edtica ele fica", "start": 3163.2, "duration": 5.43}, {"text": "[\u00a0__\u00a0] L\u00e9o t\u00e1 ent\u00e3o \u00e9 isso n\u00e3o \u00e9 para", "start": 3164.7, "duration": 6.45}, {"text": "subir aqui embaixo Pode ser mas eu quero", "start": 3168.63, "duration": 4.68}, {"text": "olhar l\u00e1 em cima que olhar l\u00e1 em cima ou", "start": 3171.15, "duration": 4.71}, {"text": "aqui voc\u00ea acha que esse bicho porque eu", "start": 3173.31, "duration": 5.16}, {"text": "vou olhar tudo nesse a\u00ed de aponta que", "start": 3175.86, "duration": 5.48}, {"text": "n\u00e3o tem nada para fazer n\u00e3o", "start": 3178.47, "duration": 6.83}, {"text": "\u00e9 com ele \u00e9", "start": 3181.34, "duration": 3.96}, {"text": "uma marmita de isopor fechado com um", "start": 3188.27, "duration": 6.52}, {"text": "pouco de comida dentro \u00f3 e se queima", "start": 3191.76, "duration": 4.23}, {"text": "claramente momento para o cara t\u00e1", "start": 3194.79, "duration": 2.85}, {"text": "dormindo s\u00f3 gente pode l\u00e1 deixa a", "start": 3195.99, "duration": 4.44}, {"text": "marmita e vai embora parecesse eu nunca", "start": 3197.64, "duration": 6.469}, {"text": "comi isso na minha vida \u00e9", "start": 3200.43, "duration": 3.679}, {"text": "eu", "start": 3206.05, "duration": 2.03}, {"text": "nunca comi isso na minha vida essa \u00e9 bem", "start": 3208.2, "duration": 7.53}, {"text": "diferente mesmo talvez", "start": 3212.08, "duration": 7.8}, {"text": "vamos subir ent\u00e3o fazer isso aqui n\u00e3o \u00e9", "start": 3215.73, "duration": 8.13}, {"text": "milho eu n\u00e3o sei", "start": 3219.88, "duration": 3.98}, {"text": "voc\u00eas sobem a escada", "start": 3225.12, "duration": 3.45}, {"text": "e fala tamb\u00e9m do que voc\u00ea come\u00e7ou a", "start": 3228.869, "duration": 6.14}, {"text": "ficar acho gente vai comprar o colete", "start": 3231.24, "duration": 3.769}, {"text": "voc\u00eas v\u00e3o subindo as escadas em espiral", "start": 3238.94, "duration": 8.379}, {"text": "e chegando no andar de cima voc\u00eas vem o", "start": 3242.66, "duration": 7.959}, {"text": "que parece ser um grande vou buscar mais", "start": 3247.319, "duration": 5.641}, {"text": "puxado um grande \u00e9 um pequeno quarto", "start": 3250.619, "duration": 4.291}, {"text": "c\u00edrculo \u00c1rtico de mim porque voc\u00ea est\u00e1", "start": 3252.96, "duration": 5.52}, {"text": "aqui \u00e9 um pequeno quarto circular a", "start": 3254.91, "duration": 6.33}, {"text": "muito bagun\u00e7ado e sujo com o as t\u00e1buas", "start": 3258.48, "duration": 6.99}, {"text": "arranhadas e deitado numa cama bem velha", "start": 3261.24, "duration": 7.5}, {"text": "e toda bagun\u00e7ada tem um homem que eu vou", "start": 3265.47, "duration": 4.559}, {"text": "botar ele aqui que eu n\u00e3o vou ter aqui", "start": 3268.74, "duration": 4.009}, {"text": "ainda", "start": 3270.029, "duration": 5.171}, {"text": "um homem velho", "start": 3272.749, "duration": 4.09}, {"text": "e", "start": 3275.2, "duration": 5.49}, {"text": "ele um muro algumas coisas", "start": 3276.839, "duration": 6.73}, {"text": "e ele parece um sono bem pesado esse", "start": 3280.69, "duration": 5.159}, {"text": "esse quarto que voc\u00eas acabaram de entrar", "start": 3283.569, "duration": 5.221}, {"text": "\u00e9 tem um grande uma grande luz num", "start": 3285.849, "duration": 5.881}, {"text": "grande farol no centro mas ele parece", "start": 3288.79, "duration": 5.95}, {"text": "que est\u00e1 todo danificado enferrujado", "start": 3291.73, "duration": 6.04}, {"text": "\u00e9 o Ciro desse lugar especialmente \u00e9", "start": 3294.74, "duration": 6.0}, {"text": "muito forte e muito desagrad\u00e1vel voc\u00ea", "start": 3297.77, "duration": 6.27}, {"text": "senti uma leve fuma\u00e7a no Ar ao redor de", "start": 3300.74, "duration": 4.54}, {"text": "voc\u00eas", "start": 3304.04, "duration": 4.54}, {"text": "o Eduardo do faroleiro tem um rel\u00f3gio", "start": 3305.28, "duration": 7.68}, {"text": "que n\u00e3o funciona Al\u00e9m disso tem duas uma", "start": 3308.58, "duration": 5.88}, {"text": "c\u00f4moda com duas Gabi tinha sal\u00e1rio de", "start": 3312.96, "duration": 4.77}, {"text": "voc\u00eas e do outro lado da sala do quarto", "start": 3314.46, "duration": 5.49}, {"text": "que voc\u00eas est\u00e3o tem uma mesa com algumas", "start": 3317.73, "duration": 3.36}, {"text": "ferramentas", "start": 3319.95, "duration": 3.78}, {"text": "em uma cadeira ao lado de c\u00e1 parece uma", "start": 3321.09, "duration": 4.82}, {"text": "pintura", "start": 3323.73, "duration": 2.18}, {"text": "v\u00ea se consegue a comida ou seja um", "start": 3327.35, "duration": 5.67}, {"text": "rebaixo escutar meu \u00faltimo Ent\u00e3o vir", "start": 3330.62, "duration": 5.22}, {"text": "aqui t\u00e1 a\u00ed eu vou e coloco em cima do", "start": 3333.02, "duration": 5.19}, {"text": "balc\u00e3o Zinho aqui na direita isso e", "start": 3335.84, "duration": 4.56}, {"text": "quando eu colocar no balc\u00e3ozinho eu", "start": 3338.21, "duration": 4.84}, {"text": "quero fazer assim \u00f3", "start": 3340.4, "duration": 5.53}, {"text": "\u00f3 e vou abrir cabe\u00e7as tipo atividade de", "start": 3343.05, "duration": 3.77}, {"text": "flor", "start": 3345.93, "duration": 3.14}, {"text": "com agilidade", "start": 3346.82, "duration": 5.86}, {"text": "com agilidade realidade n\u00e3o sei que voc\u00ea", "start": 3349.07, "duration": 5.83}, {"text": "quer me convencer de usar alguma outra", "start": 3352.68, "duration": 5.03}, {"text": "tribo se voc\u00ea quiser t\u00e1 tudo bem n\u00e9", "start": 3354.9, "duration": 4.7}, {"text": "atividades", "start": 3357.71, "duration": 4.77}, {"text": "dados e medidas mais altos", "start": 3359.6, "duration": 4.71}, {"text": "quatro", "start": 3362.48, "duration": 4.17}, {"text": "voc\u00ea vai abrir", "start": 3364.31, "duration": 7.259}, {"text": "voc\u00ea voc\u00eas vem o verbo e", "start": 3366.65, "duration": 6.74}, {"text": "o que", "start": 3371.569, "duration": 4.38}, {"text": "est\u00e1 fazendo o cabelo sem respirar pelo", "start": 3373.39, "duration": 4.709}, {"text": "assim", "start": 3375.949, "duration": 2.15}, {"text": "voc\u00ea abriu a gaveta se voc\u00ea", "start": 3381.249, "duration": 5.58}, {"text": "tava muito bagun\u00e7ado tem um monte de", "start": 3387.759, "duration": 5.95}, {"text": "cinzas em v\u00e1rios cachimbos jogados", "start": 3390.44, "duration": 6.769}, {"text": "dentro da gaveta", "start": 3393.709, "duration": 3.5}, {"text": "de", "start": 3400.18, "duration": 3.0}, {"text": "um farol s\u00f3 que o quadro A", "start": 3424.449, "duration": 6.37}, {"text": "se voc\u00ea n\u00e3o consegue ver com muitos", "start": 3431.579, "duration": 3.44}, {"text": "detalhes voc\u00ea n\u00e3o se aproximar para ver", "start": 3433.2, "duration": 5.339}, {"text": "ela falou nada s\u00f3 fa\u00e7o assim e vou me", "start": 3435.019, "duration": 5.141}, {"text": "aproximando para o quadro da", "start": 3438.539, "duration": 3.18}, {"text": "esportividade favor ele vier com", "start": 3440.16, "duration": 6.03}, {"text": "agilidade e e pega o 3:20 valor mais", "start": 3441.719, "duration": 6.231}, {"text": "alto se eu nem", "start": 3446.19, "duration": 8.01}, {"text": "quer pegar outro teu Face voc\u00ea vai indo", "start": 3447.95, "duration": 8.919}, {"text": "em dire\u00e7\u00e3o ao quadro voc\u00ea vai tomando", "start": 3454.2, "duration": 5.34}, {"text": "cuidado para passar por todas a para n\u00e3o", "start": 3456.869, "duration": 4.591}, {"text": "pisar em t\u00e1buas que est\u00e3o soltas e", "start": 3459.54, "duration": 4.47}, {"text": "quando voc\u00ea chegar bem pr\u00f3ximo da", "start": 3461.46, "duration": 5.0}, {"text": "pintura", "start": 3464.01, "duration": 2.45}, {"text": "esse velho que tava dormindo acorda um", "start": 3467.48, "duration": 6.16}, {"text": "susto e voc\u00eas vem a apar\u00eancia dele ele", "start": 3470.19, "duration": 5.82}, {"text": "quatro do meio que quase como um bicho", "start": 3473.64, "duration": 6.0}, {"text": "assim e ele t\u00e1 com uma vez pretas mesmos", "start": 3476.01, "duration": 6.24}, {"text": "estouradas no rosto dele e bateram", "start": 3479.64, "duration": 4.83}, {"text": "bateram papo ent\u00e3o ele vai correndo para", "start": 3482.25, "duration": 5.03}, {"text": "cima de voc\u00ea de segurar o que voc\u00ea faz e", "start": 3484.47, "duration": 6.26}, {"text": "eu quero desativar a voc\u00ea vai ficar", "start": 3487.28, "duration": 6.42}, {"text": "parado n\u00e3o vou para tr\u00e1s t\u00e1 voc\u00ea voc\u00ea", "start": 3490.73, "duration": 5.19}, {"text": "vai para tr\u00e1s ele se lan\u00e7a para cima de", "start": 3493.7, "duration": 6.89}, {"text": "voc\u00ea e tenta te agarrar d\u00e1 um teste de", "start": 3495.92, "duration": 6.99}, {"text": "voc\u00ea que voc\u00ea pode se esquivar a\u00ed voc\u00ea", "start": 3500.59, "duration": 4.33}, {"text": "adiciona a sua reflex\u00e3o na sua na sua", "start": 3502.91, "duration": 6.55}, {"text": "defesa se voc\u00ea tiver reflete a", "start": 3504.92, "duration": 7.6}, {"text": "eu n\u00e3o posso a for\u00e7a Ent\u00e3o pode pode", "start": 3509.46, "duration": 6.42}, {"text": "estar segurar culto a\u00ed voc\u00ea faz teste de", "start": 3512.52, "duration": 6.4}, {"text": "luta contra ele for\u00e7a por luta t\u00e1", "start": 3515.88, "duration": 4.38}, {"text": "[Aplausos]", "start": 3518.92, "duration": 4.64}, {"text": "um dois e voc\u00ea consulta voc\u00ea pega", "start": 3520.26, "duration": 5.04}, {"text": "deprimido estiver ensinando quest\u00e3o de", "start": 3523.56, "duration": 4.74}, {"text": "voc\u00ea ficou de roupa no ch\u00e3o e segura", "start": 3525.3, "duration": 4.26}, {"text": "pelos vamos l\u00e1 no fundo dos seus olhos", "start": 3528.3, "duration": 3.69}, {"text": "voc\u00ea que horas ent\u00e3o um tipo vibrando", "start": 3529.56, "duration": 5.1}, {"text": "ent\u00e3o ele tem um tom amarronzado como o", "start": 3531.99, "duration": 4.5}, {"text": "senhor v\u00ea t\u00e1 se mudando e voltando at\u00e9", "start": 3534.66, "duration": 4.26}, {"text": "alguma da guerra Deus da guerra chamado", "start": 3536.49, "duration": 6.39}, {"text": "corretora chamado conseguir at\u00e9 mais", "start": 3538.92, "duration": 6.359}, {"text": "e depois bicicleta acontecer Camille", "start": 3542.88, "duration": 4.1}, {"text": "voc\u00ea escuta", "start": 3545.279, "duration": 5.07}, {"text": "correndo vindo l\u00e1 de baixo o Adriano o", "start": 3546.98, "duration": 7.48}, {"text": "vaqueiro ele chega e passa para voc\u00ea", "start": 3550.349, "duration": 6.66}, {"text": "assim na frente na frente e passa", "start": 3554.46, "duration": 6.299}, {"text": "correndo por voc\u00eas dois e segura o velho", "start": 3557.009, "duration": 5.121}, {"text": "esp\u00edrito de voc\u00ea", "start": 3560.759, "duration": 5.591}, {"text": "Bora partiu cama cama cama", "start": 3562.13, "duration": 5.2}, {"text": "\u00e9", "start": 3566.35, "duration": 3.6}, {"text": "burra voc\u00ea \u00e9 maluco que que t\u00e1 falando", "start": 3567.33, "duration": 5.89}, {"text": "eu pego eu pego a comida do barulho ele", "start": 3569.95, "duration": 7.65}, {"text": "n\u00e3o quis ir", "start": 3573.22, "duration": 4.94}, {"text": "E", "start": 3577.6, "duration": 4.28}, {"text": "a\u00ed como o meio Rocam vou embora ent\u00e3o", "start": 3578.16, "duration": 6.31}, {"text": "vamo de ser a melhor para n\u00f3s dois n\u00e3o", "start": 3581.88, "duration": 5.11}, {"text": "t\u00eam se dessa meu dessa voc\u00eas descem eu", "start": 3584.47, "duration": 5.6}, {"text": "obede\u00e7o s\u00e3o voc\u00ea sair do Farol", "start": 3586.99, "duration": 5.27}, {"text": "e n\u00e3o foi por querer olhar l\u00e1 em baixo", "start": 3590.07, "duration": 5.73}, {"text": "t\u00e1 a voc\u00eas descem foi mais baixos", "start": 3592.26, "duration": 7.309}, {"text": "escutam o Adriano Abra\u00e7a o faroleiro", "start": 3595.8, "duration": 6.439}, {"text": "a e deixou para voc\u00eas aqui de novo voc\u00eas", "start": 3599.569, "duration": 5.371}, {"text": "dessem mais uma vez aqui para baixo", "start": 3602.239, "duration": 4.951}, {"text": "e o que que fazem eu sou o que que", "start": 3604.94, "duration": 3.929}, {"text": "aconteceu l\u00e1 em cima de Carvalho louco", "start": 3607.19, "duration": 3.54}, {"text": "que \u00e9 assustador \u00e9 bizarro ou velho s\u00f3", "start": 3608.869, "duration": 3.45}, {"text": "ficar mexendo as coisas eu acho que ele", "start": 3610.73, "duration": 4.339}, {"text": "tinha glaucoma uma coisa", "start": 3612.319, "duration": 6.181}, {"text": "n\u00e3o tem vontade para me ligar por favor", "start": 3615.069, "duration": 5.951}, {"text": "\u00e0 vontade o que vontade de uma per\u00edcia", "start": 3618.5, "duration": 5.24}, {"text": "com um presen\u00e7a", "start": 3621.02, "duration": 2.72}, {"text": "em", "start": 3625.39, "duration": 3.0}, {"text": "1818 t\u00e1 voc\u00ea passou voc\u00ea n\u00e3o partir da\u00ed", "start": 3626.04, "duration": 5.28}, {"text": "\u00f3", "start": 3628.39, "duration": 2.93}, {"text": "a", "start": 3631.6, "duration": 6.47}, {"text": "\u00fanica coisa aqui n\u00e3o vem embora", "start": 3633.24, "duration": 4.83}, {"text": "ent\u00e3o vai", "start": 3638.94, "duration": 3.18}, {"text": "[M\u00fasica]", "start": 3642.16, "duration": 7.21}, {"text": "sair do Farol voc\u00ea sai do Farol", "start": 3645.09, "duration": 6.16}, {"text": "\u00e0 procura das Caixas", "start": 3649.37, "duration": 5.04}, {"text": "da um percep\u00e7\u00e3o vou aproveitar que ele", "start": 3651.25, "duration": 6.88}, {"text": "saiu eu sou percep\u00e7\u00e3o", "start": 3654.41, "duration": 3.72}, {"text": "e com", "start": 3658.25, "duration": 5.79}, {"text": "cuidado com a internet est\u00e1 a\u00ed Deus por", "start": 3659.77, "duration": 5.68}, {"text": "favor", "start": 3664.04, "duration": 6.299}, {"text": "O treze a voc\u00ea v\u00ea \u00e9 esse cilindro de", "start": 3665.45, "duration": 6.33}, {"text": "metal o tem um cheiro muito desagrad\u00e1vel", "start": 3670.339, "duration": 5.541}, {"text": "vindo de dentro deles parece ser talvez", "start": 3671.78, "duration": 8.76}, {"text": "querosene muito antiga a E voc\u00ea tamb\u00e9m", "start": 3675.88, "duration": 8.62}, {"text": "encontra algumas algumas cartinhas mas", "start": 3680.54, "duration": 5.64}, {"text": "do Meio algumas cartas assinadas por", "start": 3684.5, "duration": 4.05}, {"text": "Adrian dando uma vasculhada por ela se", "start": 3686.18, "duration": 4.77}, {"text": "percebe s\u00f3 aqui elas parecem indicar que", "start": 3688.55, "duration": 4.71}, {"text": "o ladr\u00e3o \u00e9 sobrinho do faroleiro o nome", "start": 3690.95, "duration": 5.43}, {"text": "do faroeste o destino vuurtoren e o nome", "start": 3693.26, "duration": 6.3}, {"text": "do Andr\u00e9 e Adriano Vit\u00f3ria e voc\u00ea", "start": 3696.38, "duration": 5.28}, {"text": "encontra uma foto no retrato muito", "start": 3699.56, "duration": 5.519}, {"text": "antigo que tem o farol tem um homem", "start": 3701.66, "duration": 6.06}, {"text": "maior de chap\u00e9u e tem outras duas", "start": 3705.079, "duration": 5.371}, {"text": "crian\u00e7as pequenas", "start": 3707.72, "duration": 6.33}, {"text": "Oi eu posso levar comigo voc\u00ea pode pegar", "start": 3710.45, "duration": 7.399}, {"text": "eu posso tentar um", "start": 3714.05, "duration": 3.799}, {"text": "e eu quero tem algo escrito nos", "start": 3721.75, "duration": 5.12}, {"text": "documentos a S\u00e3o s\u00f3", "start": 3724.15, "duration": 5.04}, {"text": "documentos b\u00e1sicos ent\u00e3o tem mais nada", "start": 3726.87, "duration": 4.12}, {"text": "importante coisa que o recheio comida", "start": 3729.19, "duration": 3.15}, {"text": "para voc\u00ea n\u00e3o t\u00e1 dormindo aparecendo", "start": 3730.99, "duration": 4.17}, {"text": "aqui eu vou querer levar tudo tudo tudo", "start": 3732.34, "duration": 5.43}, {"text": "tu \u00e9 doido \u00e9 um de carga porque o reuni", "start": 3735.16, "duration": 6.86}, {"text": "carga T\u00e1 ok eu vou acrescentar o", "start": 3737.77, "duration": 7.48}, {"text": "\u00c9 sim \u00e9 um jeitinho", "start": 3742.02, "duration": 7.77}, {"text": "que voc\u00ea est\u00e1 fazendo a\u00ed mano t\u00f4 indo", "start": 3745.25, "duration": 6.42}, {"text": "tava pegando", "start": 3749.79, "duration": 5.16}, {"text": "o quanto cara maluco \u00e9 isso que que voc\u00ea", "start": 3751.67, "duration": 4.86}, {"text": "t\u00e1 falando", "start": 3754.95, "duration": 4.2}, {"text": "que problema n\u00e3o tem na internet aqui a", "start": 3756.53, "duration": 3.55}, {"text": "gente tem que fazer alguma coisa eu", "start": 3759.15, "duration": 3.3}, {"text": "quero ler um livro ler um papel qualquer", "start": 3760.08, "duration": 4.14}, {"text": "coisa uma notinha do mercado eu quero", "start": 3762.45, "duration": 4.22}, {"text": "ser que tem mercado mesmo", "start": 3764.22, "duration": 5.28}, {"text": "eu pego vou embora voc\u00ea saem de dentro", "start": 3766.67, "duration": 8.58}, {"text": "do farol e ao mesmo tempo que voc\u00ea saem", "start": 3769.5, "duration": 9.72}, {"text": "chegam B\u00e1rbara e Milo cada um vindo de", "start": 3775.25, "duration": 6.91}, {"text": "um lado da floresta a gente ouvi a", "start": 3779.22, "duration": 4.68}, {"text": "gritaria confus\u00e3o que acabaram de chegar", "start": 3782.16, "duration": 3.72}, {"text": "mil t\u00e1 trazendo uma caixa com todos os", "start": 3783.9, "duration": 5.28}, {"text": "peixes e a B\u00e1rbara t\u00e1 vindo da floresta", "start": 3785.88, "duration": 6.39}, {"text": "l\u00e1 da esquerda voc\u00eas vem s\u00f3 est\u00e1 muito", "start": 3789.18, "duration": 5.12}, {"text": "lado de pessoas ali na", "start": 3792.27, "duration": 4.5}, {"text": "frente do Farol algumas pessoas que", "start": 3794.3, "duration": 4.06}, {"text": "voc\u00eas n\u00e3o conhecem o Adrian voc\u00eas viram", "start": 3796.77, "duration": 3.69}, {"text": "Entrando no farol meio de longe e voc\u00eas", "start": 3798.36, "duration": 4.3}, {"text": "v\u00eam essas essas duas pessoas e voc\u00eas", "start": 3800.46, "duration": 3.53}, {"text": "nunca viram esse", "start": 3802.66, "duration": 4.95}, {"text": "t\u00f4 saindo de dentro do farol tamb\u00e9m", "start": 3803.99, "duration": 7.379}, {"text": "\u00e9 o meu ele chega bem animadinho assim", "start": 3807.61, "duration": 6.7}, {"text": "porque ele \u00e9 encontrar o quadro que ele", "start": 3811.369, "duration": 4.891}, {"text": "gosta muito do Ali A pessoa que ele com", "start": 3814.31, "duration": 3.809}, {"text": "que ele mais conversa na ele vai ter", "start": 3816.26, "duration": 3.99}, {"text": "oportunidade de ver ent\u00e3o ele t\u00e1 bem ele", "start": 3818.119, "duration": 5.191}, {"text": "vai virar encontrar ele a\u00ed ele encontra", "start": 3820.25, "duration": 5.82}, {"text": "as pessoas novas e vai vai querer voc\u00ea", "start": 3823.31, "duration": 4.44}, {"text": "vai at\u00e9 ela vou me apaixonar assim", "start": 3826.07, "duration": 4.44}, {"text": "perfeito chega na frente do pessoal aqui", "start": 3827.75, "duration": 5.97}, {"text": "a voc\u00ea v\u00ea o casal ali presta conversando", "start": 3830.51, "duration": 5.19}, {"text": "com outra coisa e o cara de maleta ele", "start": 3833.72, "duration": 4.32}, {"text": "t\u00e1 mais distante assim t\u00e1 s\u00f3 te", "start": 3835.7, "duration": 3.72}, {"text": "esperando para ir junto com o resto das", "start": 3838.04, "duration": 3.44}, {"text": "pessoas B\u00e1rbara", "start": 3839.42, "duration": 5.699}, {"text": "eu estou me aproximando tamb\u00e9m eu vejo o", "start": 3841.48, "duration": 7.6}, {"text": "milo Adriana que eu conhe\u00e7o e eu vou na", "start": 3845.119, "duration": 7.231}, {"text": "rua da\u00ed eu vou descendo assim e eu vou", "start": 3849.08, "duration": 5.13}, {"text": "olhar meio que olhando assim as pessoas", "start": 3852.35, "duration": 3.67}, {"text": "Monia", "start": 3854.21, "duration": 4.74}, {"text": "E a\u00ed o pagonejo", "start": 3856.02, "duration": 8.37}, {"text": "bom dia oi oi Ju Bia voc\u00eas v\u00e3o morar na", "start": 3858.95, "duration": 7.08}, {"text": "mans\u00e3o", "start": 3864.39, "duration": 5.64}, {"text": "infelizmente Jardineira", "start": 3866.03, "duration": 4.0}, {"text": "a minha m\u00e3o t\u00e1 bem sujo de terra assim", "start": 3871.25, "duration": 6.35}, {"text": "ela bombeado assim voc\u00ea pergunta", "start": 3873.53, "duration": 4.07}, {"text": "assim bem", "start": 3879.19, "duration": 4.0}, {"text": "as", "start": 3885.04, "duration": 3.87}, {"text": "cal\u00e7as Bom dia comigo que aproveitar", "start": 3885.96, "duration": 4.54}, {"text": "aquele tem que ligar para falar com ele", "start": 3888.91, "duration": 5.34}, {"text": "e ele foi junto ele Opa bom dia bom dia", "start": 3890.5, "duration": 9.11}, {"text": "oi tudo bem Bonjour Bonjour Bonjour", "start": 3894.25, "duration": 5.36}, {"text": "voc\u00eas v\u00e3o levar na bagagem n\u00e3o \u00e9", "start": 3900.66, "duration": 9.54}, {"text": "uma coisa me ajuda Claro", "start": 3904.41, "duration": 8.91}, {"text": "pode ser", "start": 3910.2, "duration": 3.12}, {"text": "minha bolsa t\u00e1 bem oi oi", "start": 3919.68, "duration": 4.98}, {"text": "e \u00e9 que o seu nome B\u00e1rbara B\u00e1rbara", "start": 3924.77, "duration": 8.39}, {"text": "B\u00e1rbara B\u00e1rbara B\u00e1rbara", "start": 3928.0, "duration": 5.16}, {"text": "que voc\u00ea quiser", "start": 3934.09, "duration": 4.26}, {"text": "t\u00e1 bom", "start": 3936.7, "duration": 6.1}, {"text": "o seu nome \u00e9", "start": 3938.35, "duration": 4.45}, {"text": "e a m\u00e3o dele t\u00e1 suja pergunta \u00e9 o nome \u00e9", "start": 3943.43, "duration": 5.939}, {"text": "mais suja porque como eu t\u00f4 sempre", "start": 3947.63, "duration": 3.36}, {"text": "mexendo com peixe pescando ela \u00e9 um", "start": 3949.369, "duration": 3.96}, {"text": "pouco mais vai buscar ela olha para sua", "start": 3950.99, "duration": 4.68}, {"text": "m\u00e3e n\u00e3o d\u00e1 uma respirada Funda presta", "start": 3953.329, "duration": 5.581}, {"text": "olho faz assim at\u00e9 o seguro forte uma", "start": 3955.67, "duration": 6.199}, {"text": "grande voc\u00ea come\u00e7a tecido farol \u00f3", "start": 3958.91, "duration": 5.64}, {"text": "um abra\u00e7o para eu vejo eu vou l\u00e1 e", "start": 3961.869, "duration": 5.351}, {"text": "abra\u00e7o Adriano forte ai que saudade como", "start": 3964.55, "duration": 4.89}, {"text": "\u00e9 que voc\u00ea t\u00e1 E a\u00ed garoto Eu tamb\u00e9m t\u00f4", "start": 3967.22, "duration": 5.869}, {"text": "bem t\u00f4 bem barulho", "start": 3969.44, "duration": 3.649}, {"text": "de bagagem assim vai ser mais dif\u00edcil", "start": 3973.839, "duration": 5.161}, {"text": "que eu imaginava", "start": 3976.849, "duration": 7.201}, {"text": "para levar l\u00e1 para o", "start": 3979.0, "duration": 5.05}, {"text": "o maluco do chapeuzinho encostado", "start": 4003.41, "duration": 5.34}, {"text": "negocinho Bom dia senhor dizendo que ele", "start": 4005.45, "duration": 6.05}, {"text": "t\u00e1 ele t\u00e1 te olhando o ch\u00e3o assim ele", "start": 4008.75, "duration": 6.14}, {"text": "\u00e9 mas n\u00e3o \u00e9 Cavalcanti era muito prazer", "start": 4011.5, "duration": 7.96}, {"text": "se voc\u00ea vai morar na mans\u00e3o tamb\u00e9m at\u00e9 o", "start": 4014.89, "duration": 6.06}, {"text": "meu compadre Quando ele chegar", "start": 4019.46, "duration": 4.2}, {"text": "Opa ent\u00e3o belezura Eu moro do ladinho", "start": 4020.95, "duration": 5.099}, {"text": "ali na cabelinho", "start": 4023.66, "duration": 5.76}, {"text": "estrutura da mans\u00e3o assim \u00e9 suja n\u00e3o d\u00e1", "start": 4026.049, "duration": 4.8}, {"text": "para ver dentro n\u00e3o que eu j\u00e1 tentei", "start": 4029.42, "duration": 4.05}, {"text": "Voc\u00ea sabe se tem essas coisas para ele", "start": 4030.849, "duration": 5.801}, {"text": "j\u00e1 pega o caderno para come\u00e7ar a notar a", "start": 4033.47, "duration": 5.19}, {"text": "e n\u00e3o vai muito bem mesmo n\u00e3o d\u00e1 para", "start": 4036.65, "duration": 5.51}, {"text": "ver nada l\u00e1 dentro da igreja n\u00e3o", "start": 4038.66, "duration": 3.5}, {"text": "faz de madeira para evento assim batendo", "start": 4042.279, "duration": 5.82}, {"text": "mesmo", "start": 4046.39, "duration": 4.709}, {"text": "ent\u00e3o", "start": 4048.099, "duration": 3.0}, {"text": "eu vou at\u00e9 os velho ali os pais deles", "start": 4060.099, "duration": 7.95}, {"text": "eles", "start": 4065.049, "duration": 3.0}, {"text": "tamb\u00e9m v\u00e3o morar na mans\u00e3o Ent\u00e3o", "start": 4071.14, "duration": 4.409}, {"text": "voc\u00ea me falou que \u00e9", "start": 4088.39, "duration": 3.449}, {"text": "o g\u00eanio mais Cortei n\u00e3o olha se voc\u00ea vai", "start": 4096.63, "duration": 7.879}, {"text": "me perdoar mas se fosse um deles", "start": 4099.96, "duration": 4.549}, {"text": "\u00e9 o artista de", "start": 4104.81, "duration": 8.009}, {"text": "Elite de qualquer forma eu n\u00e3o", "start": 4107.42, "duration": 8.56}, {"text": "entendo se a sua arte a\u00ed mas eu vou", "start": 4112.819, "duration": 4.451}, {"text": "estar morando ali do lado se voc\u00ea", "start": 4115.98, "duration": 3.509}, {"text": "precisar de comida Se voc\u00ea precisar de", "start": 4117.27, "duration": 3.96}, {"text": "alguma coisa Eu moro do ladinho a linda", "start": 4119.489, "duration": 4.551}, {"text": "aqui \u00f3 n\u00e9", "start": 4121.23, "duration": 2.81}, {"text": "E", "start": 4124.549, "duration": 6.451}, {"text": "se voc\u00ea quiser come\u00e7ar a pegar", "start": 4126.199, "duration": 4.801}, {"text": "Eu", "start": 4135.65, "duration": 5.91}, {"text": "quero virar para o papai falou", "start": 4137.96, "duration": 6.81}, {"text": "que ele", "start": 4141.56, "duration": 3.21}, {"text": "\u00e9 um", "start": 4146.15, "duration": 4.0}, {"text": "Ah entendi n\u00e3o como \u00e9 que t\u00e1 entender", "start": 4156.64, "duration": 5.3}, {"text": "muito bem diferente fue", "start": 4158.8, "duration": 7.67}, {"text": "a Bol\u00edvia Esqueci", "start": 4161.94, "duration": 4.53}, {"text": "Esqueci a minha JBL a gente n\u00e3o vai", "start": 4168.03, "duration": 6.76}, {"text": "tamb\u00e9m e n\u00e3o costumo assim ent\u00e3o tem o", "start": 4171.87, "duration": 5.58}, {"text": "rosto fino", "start": 4174.79, "duration": 2.66}, {"text": "voc\u00ea leva as bagagens pode ser pode ser", "start": 4185.67, "duration": 5.58}, {"text": "mas eu acho que o", "start": 4196.32, "duration": 6.21}, {"text": "pessoal tudo bem tudo bem eu vou tentar", "start": 4199.47, "duration": 5.95}, {"text": "conhecer pessoas novas tamb\u00e9m tem alguma", "start": 4202.53, "duration": 7.24}, {"text": "coisa que voc\u00ea sabe n\u00e9", "start": 4205.42, "duration": 4.35}, {"text": "e eles falam bastante", "start": 4212.56, "duration": 3.53}, {"text": "t\u00e1", "start": 4214.44, "duration": 4.77}, {"text": "s\u00f3 isso que voc\u00ea sabe eu fiquei triste", "start": 4216.09, "duration": 7.21}, {"text": "ela ponto para Melissa ela \u00e9 um pouco", "start": 4219.21, "duration": 5.2}, {"text": "animadinha eu acho que ela n\u00e3o gostou", "start": 4223.3, "duration": 3.0}, {"text": "muito de mim mas eu vou dar meu jeito", "start": 4224.41, "duration": 5.0}, {"text": "para mim gostar de mim eu confio em voc\u00ea", "start": 4226.3, "duration": 8.39}, {"text": "essa tinha ela em casa n\u00e3o fala isso", "start": 4229.41, "duration": 9.31}, {"text": "ele esteja em dire\u00e7\u00e3o ao Vilarejo e", "start": 4234.69, "duration": 8.19}, {"text": "ficam voc\u00eas um", "start": 4238.72, "duration": 4.16}, {"text": "abra\u00e7o e", "start": 4243.54, "duration": 5.41}, {"text": "claro eu quero pegar o m\u00e1ximo de de", "start": 4246.03, "duration": 4.09}, {"text": "coisa que eu puder para ela ficar com", "start": 4248.95, "duration": 3.66}, {"text": "uma coisa poss\u00edvel com mais for\u00e7a Ent\u00e3o", "start": 4250.12, "duration": 4.23}, {"text": "para mim por favor t\u00e1", "start": 4252.61, "duration": 5.17}, {"text": "[Risadas]", "start": 4254.35, "duration": 4.26}, {"text": "e", "start": 4257.78, "duration": 4.709}, {"text": "o pai que olha quanto 19 falou que quer", "start": 4258.61, "duration": 8.16}, {"text": "co\u00e7ar baby Ent\u00e3o", "start": 4262.489, "duration": 4.281}, {"text": "voc\u00ea t\u00e1", "start": 4267.01, "duration": 4.709}, {"text": "suave", "start": 4268.719, "duration": 3.0}, {"text": "T\u00e1", "start": 4279.19, "duration": 3.0}, {"text": "bom ent\u00e3o o", "start": 4296.23, "duration": 4.21}, {"text": "e", "start": 4317.79, "duration": 5.01}, {"text": "eu vou levando com uma festa de quinto", "start": 4318.56, "duration": 6.57}, {"text": "galinha do mato mesmo", "start": 4322.8, "duration": 6.14}, {"text": "aqui tranquilo tem problema tranquilo", "start": 4325.13, "duration": 6.61}, {"text": "s\u00e3o os bichos do mato assim n\u00e3o \u00e9 bicho", "start": 4328.94, "duration": 5.79}, {"text": "tranquilo n\u00e9 n\u00e3o \u00e9", "start": 4331.74, "duration": 2.99}, {"text": "incr\u00edvel", "start": 4336.2, "duration": 4.93}, {"text": "voc\u00eas trouxeram o repelente Olha como se", "start": 4337.76, "duration": 5.76}, {"text": "fosse repelled him", "start": 4341.13, "duration": 3.88}, {"text": "o", "start": 4343.52, "duration": 4.35}, {"text": "enfermeiro na hora que eu te mandei o", "start": 4345.01, "duration": 6.51}, {"text": "idiota tamb\u00e9m trouxe ao", "start": 4347.87, "duration": 3.65}, {"text": "mundo para trazer", "start": 4353.14, "duration": 3.87}, {"text": "ent\u00e3o voc\u00ea", "start": 4358.45, "duration": 5.28}, {"text": "pode vir", "start": 4360.34, "duration": 3.39}, {"text": "[M\u00fasica]", "start": 4365.97, "duration": 3.079}, {"text": "na ilha", "start": 4369.91, "duration": 3.3}, {"text": "bem grande Ela \u00e9 bem fechada a ela tem", "start": 4374.68, "duration": 6.28}, {"text": "que ser para atravessar a floresta de", "start": 4378.74, "duration": 3.51}, {"text": "uma ponta \u00e0 outra da esquerda para", "start": 4380.96, "duration": 4.26}, {"text": "direita \u00e9 cerca de uma hora que voc\u00eas", "start": 4382.25, "duration": 5.07}, {"text": "forem cruzando pelo Mato que \u00e9 muito", "start": 4385.22, "duration": 3.24}, {"text": "mais perigoso porque tem animais", "start": 4387.32, "duration": 2.82}, {"text": "selvagens no meio da floresta que podem", "start": 4388.46, "duration": 4.05}, {"text": "causar em 30 minutos eu posso fazer um", "start": 4390.14, "duration": 3.48}, {"text": "teste para saber se eu conhe\u00e7o algum", "start": 4392.51, "duration": 3.72}, {"text": "atalho parmes\u00e3o Voc\u00ea pode voc\u00ea pode n\u00e3o", "start": 4393.62, "duration": 4.41}, {"text": "ter sobreviv\u00eancia ou voc\u00ea pode perguntar", "start": 4396.23, "duration": 3.21}, {"text": "para B\u00e1rbara que mora na nossa n\u00e3o se", "start": 4398.03, "duration": 3.86}, {"text": "ela conhece eu vou dar", "start": 4399.44, "duration": 5.8}, {"text": "B\u00e1rbara a E \u00e9 porque eu acho que eles", "start": 4401.89, "duration": 6.95}, {"text": "n\u00e3o v\u00e3o nem Jamil eu sempre vem por aqui", "start": 4405.24, "duration": 5.67}, {"text": "\u00f3 a\u00ed eu dou uma pontadinha se eu conhe\u00e7o", "start": 4408.84, "duration": 4.22}, {"text": "um bot\u00e3ozinho um caminh\u00e3ozinho n\u00e9 mestre", "start": 4410.91, "duration": 4.77}, {"text": "o bom \u00e9 o bosque \u00e9 tipo uma \u00e1rea uma", "start": 4413.06, "duration": 4.09}, {"text": "clareira que voc\u00ea conhece lugar bonito", "start": 4415.68, "duration": 3.3}, {"text": "mas voc\u00ea n\u00e3o n\u00e3o quer Sobreviventes voc\u00ea", "start": 4417.15, "duration": 3.3}, {"text": "tentar achar um atalho dois", "start": 4418.98, "duration": 3.9}, {"text": "sobreviv\u00eancia com quem \u00e9 aquele que", "start": 4420.45, "duration": 5.34}, {"text": "pensa \u00e9 com pode ser presen\u00e7a presen\u00e7a", "start": 4422.88, "duration": 5.03}, {"text": "n\u00e3o", "start": 4425.79, "duration": 2.12}, {"text": "22 de leque sobre", "start": 4431.0, "duration": 4.11}, {"text": "leque t\u00e1", "start": 4436.4, "duration": 3.36}, {"text": "voc\u00ea conhece bem esse caminho", "start": 4439.97, "duration": 8.55}, {"text": "e voc\u00ea sabe que na real o", "start": 4444.17, "duration": 8.26}, {"text": "por esse por Essa \u00e9poca \u00e9 bem prov\u00e1vel", "start": 4448.52, "duration": 6.97}, {"text": "que tem um animais perigosos rondando o", "start": 4452.43, "duration": 4.41}, {"text": "caminho voc\u00eas conseguiram mas n\u00e3o tem", "start": 4455.49, "duration": 2.22}, {"text": "outro", "start": 4456.84, "duration": 3.29}, {"text": "Ah t\u00e1", "start": 4457.71, "duration": 5.1}, {"text": "ok vamos fazer aquele caminho de sempre", "start": 4460.13, "duration": 4.75}, {"text": "e n\u00f3s fica meio de hoje voc\u00ea n\u00e3o resolvi", "start": 4462.81, "duration": 4.38}, {"text": "uns barulho n\u00f3s grita para ele sair que", "start": 4464.88, "duration": 4.17}, {"text": "ele sem viu n\u00e9 que eles t\u00e3o meio a\u00ed", "start": 4467.19, "duration": 3.87}, {"text": "agora eu vou te prometer nada espera", "start": 4469.05, "duration": 4.35}, {"text": "para mim para mim na minha conta que a", "start": 4471.06, "duration": 4.34}, {"text": "pior que pode acontecer", "start": 4473.4, "duration": 8.12}, {"text": "n\u00e3o sei mas vou embora t\u00e1 ficando pesado", "start": 4475.4, "duration": 6.12}, {"text": "e o sei l\u00e1 [\u00a0__\u00a0] aqui [\u00a0__\u00a0]", "start": 4487.46, "duration": 4.5}, {"text": "sen\u00e3o vai sujar o p\u00eanis", "start": 4496.82, "duration": 7.62}, {"text": "como eu posso ter ouvido isso", "start": 4500.36, "duration": 6.81}, {"text": "a\u00ed eu fiz", "start": 4504.44, "duration": 6.18}, {"text": "Nossa responde meu", "start": 4507.17, "duration": 3.45}, {"text": "caminho fechado", "start": 4512.75, "duration": 4.0}, {"text": "a", "start": 4517.72, "duration": 4.53}, {"text": "e voc\u00eas caminham por um tempo a trilha", "start": 4518.97, "duration": 5.05}, {"text": "l\u00e1 segue mais \u00e0 frente voc\u00ea consegue", "start": 4522.25, "duration": 4.95}, {"text": "mais tarde um pouco mais a um pouco mais", "start": 4524.02, "duration": 6.09}, {"text": "comum algumas horas vem fazer umas", "start": 4527.2, "duration": 4.02}, {"text": "mudan\u00e7as que \u00e0s vezes o vento derrubou", "start": 4530.11, "duration": 3.77}, {"text": "algum galho alguma coisa assim", "start": 4531.22, "duration": 5.37}, {"text": "e depois de um tempo", "start": 4533.88, "duration": 4.81}, {"text": "e eu pedi para todos voc\u00eas a\u00ed um teste", "start": 4536.59, "duration": 6.589}, {"text": "de percep\u00e7\u00e3o que o intelecto por favor", "start": 4538.69, "duration": 4.489}, {"text": "o", "start": 4544.11, "duration": 5.569}, {"text": "Ol\u00e1 pai God", "start": 4545.869, "duration": 3.81}, {"text": "voc\u00ea n\u00e3o percebe nada foi", "start": 4550.219, "duration": 5.73}, {"text": "18 desculpa", "start": 4553.28, "duration": 6.82}, {"text": "voc\u00eas est\u00e3o caminhando pelo meio da do", "start": 4555.949, "duration": 7.391}, {"text": "mato e", "start": 4560.1, "duration": 3.24}, {"text": "e pode jogar l\u00e1 Pesqueira produ\u00e7\u00e3o na", "start": 4564.28, "duration": 4.939}, {"text": "nossa outra senha", "start": 4567.55, "duration": 3.93}, {"text": "olivieri especialmente voc\u00eas est\u00e3o sendo", "start": 4569.219, "duration": 4.27}, {"text": "levados pela B\u00e1rbara na frente o", "start": 4571.48, "duration": 3.719}, {"text": "Cavalcante tendo logo ao lado se olhando", "start": 4573.489, "duration": 5.451}, {"text": "o meio meio feito em S\u00e3o empolgado a", "start": 4575.199, "duration": 7.17}, {"text": "voc\u00eas curtam ele de um arbusto pouco", "start": 4578.94, "duration": 4.91}, {"text": "mais \u00e0 frente", "start": 4582.369, "duration": 2.911}, {"text": "sim ou", "start": 4583.85, "duration": 4.89}, {"text": "n\u00e3o para eu ver o consegue voc\u00ea para o", "start": 4585.28, "duration": 5.57}, {"text": "resto pessoal continuando", "start": 4588.74, "duration": 4.66}, {"text": "bom ent\u00e3o eu s\u00f3 copio ela est\u00e1", "start": 4590.85, "duration": 4.47}, {"text": "continuando que voc\u00ea t\u00e1 falando \u00e9 o", "start": 4593.4, "duration": 4.59}, {"text": "bicho selada uma coisa d\u00e1 um grito rock", "start": 4595.32, "duration": 4.52}, {"text": "\u00e9 isso aqui", "start": 4597.99, "duration": 6.42}, {"text": "\u00e9 o que que voc\u00ea falou Quando Voc\u00ea Grita", "start": 4599.84, "duration": 6.12}, {"text": "isso", "start": 4604.41, "duration": 5.19}, {"text": "e voc\u00eas vem saindo uma forma grandona de", "start": 4605.96, "duration": 6.0}, {"text": "dentro dessa moita", "start": 4609.6, "duration": 6.6}, {"text": "um bicho atropela o Cavalcante \u00e9 um [\u00a0__\u00a0]", "start": 4611.96, "duration": 7.66}, {"text": "de um javali Grande para [\u00a0__\u00a0] eu pedi", "start": 4616.2, "duration": 5.76}, {"text": "para todos voc\u00eas devem dar um teste de", "start": 4619.62, "duration": 4.94}, {"text": "iniciativa ou a", "start": 4621.96, "duration": 6.39}, {"text": "gente vai lutar com porco selvagem mano", "start": 4624.56, "duration": 8.85}, {"text": "n\u00e3o \u00e9 agilidade facilidade e", "start": 4628.35, "duration": 5.06}, {"text": "Deus favor algu\u00e9m tem uma carga vai", "start": 4633.59, "duration": 6.79}, {"text": "emprestar um 19191", "start": 4636.84, "duration": 3.54}, {"text": "eu tava uma ordem ent\u00e3o primeiro foi vou", "start": 4648.78, "duration": 6.68}, {"text": "enquanto", "start": 4653.869, "duration": 3.841}, {"text": "20", "start": 4655.46, "duration": 5.759}, {"text": "ameri 19", "start": 4657.71, "duration": 7.17}, {"text": "e eu 2019 ent\u00e3o t\u00e1 ent\u00e3o eu tamb\u00e9m \u00e9", "start": 4661.219, "duration": 5.641}, {"text": "nossas eram altas e incentivo tipo que", "start": 4664.88, "duration": 6.06}, {"text": "gra\u00e7as a Deus n\u00e3o outro n\u00e3o \u00e9 o Live Era", "start": 4666.86, "duration": 5.629}, {"text": "B\u00e1rbara", "start": 4670.94, "duration": 4.079}, {"text": "a\u00ed Qual de voc\u00eas ajudar de maior eu", "start": 4672.489, "duration": 5.25}, {"text": "tenho tr\u00eas Ele d\u00f3i se voc\u00ea n\u00e3o \u00e9 meu", "start": 4675.019, "duration": 6.54}, {"text": "tempo verdade cortar t\u00e1 carregando a", "start": 4677.739, "duration": 6.541}, {"text": "cidade n\u00e3o", "start": 4681.559, "duration": 8.1}, {"text": "ok \u00e9 o \u00faltimo", "start": 4684.28, "duration": 5.379}, {"text": "Oi e o porco e logo depois da minha todo", "start": 4690.03, "duration": 6.02}, {"text": "mundo esperando", "start": 4693.57, "duration": 2.48}, {"text": "na hora que que o bicho pega ele", "start": 4696.41, "duration": 6.36}, {"text": "deprimido deixa eu dar o dano inclusive", "start": 4699.48, "duration": 3.29}, {"text": "a", "start": 4705.099, "duration": 4.35}, {"text": "nossa a\u00ed fodeu a perna do Cavalcante", "start": 4706.619, "duration": 6.67}, {"text": "Cavalcante cai ai a perna de achou coisa", "start": 4709.449, "duration": 6.84}, {"text": "gritar o dente dele entrou na perna dele", "start": 4713.289, "duration": 7.181}, {"text": "e abril e rasgou a perna dele a", "start": 4716.289, "duration": 8.231}, {"text": "e os pais de voc\u00eas eles foi meu Deus o", "start": 4720.47, "duration": 5.49}, {"text": "que \u00e9 isso n\u00e3o precisa boca voc\u00ea falou", "start": 4724.52, "duration": 3.95}, {"text": "que eu ia ter nada", "start": 4725.96, "duration": 5.82}, {"text": "isso aqui pelo amor de Deus que faz uma", "start": 4728.47, "duration": 5.61}, {"text": "coisa n\u00e3o tem erro primeira", "start": 4731.78, "duration": 5.25}, {"text": "perigosa mas n\u00e3o achei voc\u00ea legal eu", "start": 4734.08, "duration": 5.53}, {"text": "tamb\u00e9m de Oliveira voc\u00ea n\u00e3o quer fazer", "start": 4737.03, "duration": 3.56}, {"text": "nada", "start": 4739.61, "duration": 7.4}, {"text": "ent\u00e3o fica olhando se movimentar ou agir", "start": 4740.59, "duration": 6.42}, {"text": "perfeito B\u00e1rbara eu posso", "start": 4747.4, "duration": 7.35}, {"text": "Sobreviv\u00eancia para saber se", "start": 4751.15, "duration": 3.6}, {"text": "[M\u00fasica]", "start": 4757.68, "duration": 6.49}, {"text": "voc\u00ea sabe pela sua experi\u00eancia", "start": 4760.66, "duration": 6.79}, {"text": "Se voc\u00ea pegar uns Galhos das \u00e1rvores e", "start": 4764.17, "duration": 4.68}, {"text": "dar umas porradas nele e vai espantar", "start": 4767.45, "duration": 3.69}, {"text": "mas tem que dar uma porrada nele", "start": 4768.85, "duration": 5.04}, {"text": "Ah t\u00e1", "start": 4771.14, "duration": 5.19}, {"text": "amigo vou quebrar o galho voc\u00ea bate no", "start": 4773.89, "duration": 5.47}, {"text": "javali e eu disse e eu quero usar minha", "start": 4776.33, "duration": 5.49}, {"text": "amea\u00e7am para quebrar o galho e entregar", "start": 4779.36, "duration": 5.19}, {"text": "para o milo perfeito a voc\u00ea vou costurar", "start": 4781.82, "duration": 4.17}, {"text": "o p\u00e3o um teste de sobreviv\u00eancia com", "start": 4784.55, "duration": 3.14}, {"text": "for\u00e7a agora foi", "start": 4785.99, "duration": 2.94}, {"text": "[M\u00fasica]", "start": 4787.69, "duration": 3.75}, {"text": "E como eu fui", "start": 4788.93, "duration": 5.72}, {"text": "nove \u00e9 voc\u00ea pega voc\u00ea", "start": 4791.44, "duration": 5.23}, {"text": "voc\u00ea t\u00e1 dentro mais um salve para voc\u00ea", "start": 4794.65, "duration": 3.43}, {"text": "quer brigar mais linda tem uma pontinha", "start": 4796.67, "duration": 3.42}, {"text": "t\u00e1 t\u00e1 presa tentando tirar daqui", "start": 4798.08, "duration": 3.48}, {"text": "tentando tirar esse galho voc\u00ea foi at\u00e9 a", "start": 4800.09, "duration": 2.73}, {"text": "\u00e1rvore e t\u00e1 tentando tirar o galho voc\u00ea", "start": 4801.56, "duration": 2.84}, {"text": "n\u00e3o conseguiu pegar", "start": 4802.82, "duration": 4.56}, {"text": "mil eu vejo a barba que vai pegar o", "start": 4804.4, "duration": 5.02}, {"text": "galho eu vejo ela n\u00e3o consegue e vou", "start": 4807.38, "duration": 4.68}, {"text": "tentar pegar o olho na mesma \u00e1rvore ou", "start": 4809.42, "duration": 4.77}, {"text": "na \u00e1rvore do lado a pomada que voc\u00ea pode", "start": 4812.06, "duration": 3.78}, {"text": "ter a outra mora bem na hora de voc\u00ea", "start": 4814.19, "duration": 3.74}, {"text": "segue at\u00e9 ela n\u00e3o tem servi\u00e7o com for\u00e7a", "start": 4815.84, "duration": 5.3}, {"text": "sobreviv\u00eancia for\u00e7a", "start": 4817.93, "duration": 6.75}, {"text": "tem mais cinco tamb\u00e9m \u00f3", "start": 4821.14, "duration": 4.12}, {"text": "[Aplausos]", "start": 4824.68, "duration": 1.32}, {"text": "a", "start": 4825.26, "duration": 4.56}, {"text": "15 20 anos 20 voc\u00ea voc\u00ea v\u00ea um galho bom", "start": 4826.0, "duration": 6.1}, {"text": "e quebra ele se tem uma arma improvisada", "start": 4829.82, "duration": 6.3}, {"text": "agora vai dar 34 mais for\u00e7a Ok perfeito", "start": 4832.1, "duration": 5.67}, {"text": "eu tenho nata\u00e7\u00e3o n\u00e3o n\u00e9 ela essa", "start": 4836.12, "duration": 4.11}, {"text": "situa\u00e7\u00e3o a foi meu amigo que voc\u00ea faz", "start": 4837.77, "duration": 5.1}, {"text": "voc\u00ea v\u00ea a barba ela e voc\u00ea Voc\u00ea viu que", "start": 4840.23, "duration": 4.56}, {"text": "eles falaram voc\u00ea v\u00ea agora a barba", "start": 4842.87, "duration": 3.6}, {"text": "tentando pegar um garanto conseguindo", "start": 4844.79, "duration": 4.32}, {"text": "comigo foi na \u00e1rvore tem um galho eu vou", "start": 4846.47, "duration": 4.35}, {"text": "desesperada eu vou correr para tentar eu", "start": 4849.11, "duration": 4.02}, {"text": "vou ajudar voc\u00eas ajudar ela quebrar voc\u00ea", "start": 4850.82, "duration": 5.13}, {"text": "vai aperta Ok ent\u00e3o teste de servi\u00e7o com", "start": 4853.13, "duration": 4.68}, {"text": "for\u00e7a tamb\u00e9m ou s\u00f3 for\u00e7a s\u00f3 foi o", "start": 4855.95, "duration": 5.17}, {"text": "servi\u00e7o dela t\u00e1 \u00e9 um de 20 n\u00e9 gente tem", "start": 4857.81, "duration": 6.28}, {"text": "\u00c9 um rolo de novo 12 assim Pode novo", "start": 4861.12, "duration": 6.39}, {"text": "doen\u00e7as tem mais um agora porque eu 12", "start": 4864.09, "duration": 6.0}, {"text": "tamb\u00e9m voc\u00ea consegue em conjunto", "start": 4867.51, "duration": 4.17}, {"text": "terminar de quebrar o galho agora voc\u00ea", "start": 4870.09, "duration": 3.15}, {"text": "tamb\u00e9m tem uma improvisada t\u00e1 \u00e9 um", "start": 4871.68, "duration": 6.95}, {"text": "dep\u00f3sito mais uma for\u00e7a a \u00e9 o bicho ele", "start": 4873.24, "duration": 8.15}, {"text": "e ele vai partir para cima do mil", "start": 4878.63, "duration": 5.85}, {"text": "investir no meio t\u00e1 mais pr\u00f3ximo dele", "start": 4881.39, "duration": 6.92}, {"text": "se voc\u00ea quer esquentar que vem", "start": 4884.48, "duration": 5.54}, {"text": "eu", "start": 4888.31, "duration": 5.14}, {"text": "tenho tr\u00eas de defesa 13 de chuveiro mas", "start": 4890.02, "duration": 6.4}, {"text": "\u00e9 Flex masterflex \u00c9 verdade verdade \u00e9 13", "start": 4893.45, "duration": 4.789}, {"text": "mais 58", "start": 4896.42, "duration": 5.02}, {"text": "18 de defesa t\u00e1 perto", "start": 4898.239, "duration": 6.081}, {"text": "e ele erra voc\u00ea pula pro lado eu bebo", "start": 4901.44, "duration": 5.549}, {"text": "dar de cara no tronco da \u00e1rvore se mexe", "start": 4904.32, "duration": 4.59}, {"text": "um pouco assim um cara mais feio do seu", "start": 4906.989, "duration": 6.921}, {"text": "lado Ok \u00e9h foi agora \u00e9 o Cavalcante ele", "start": 4908.91, "duration": 8.16}, {"text": "\u00e9 a perna [\u00a0__\u00a0] ele levanta assim que", "start": 4913.91, "duration": 6.28}, {"text": "come\u00e7a a tentar arrancar para tr\u00e1s para", "start": 4917.07, "duration": 5.129}, {"text": "sair de perto do bicho essa rodada dele", "start": 4920.19, "duration": 3.93}, {"text": "boliviana", "start": 4922.199, "duration": 4.711}, {"text": "Ah t\u00e1 os seus pais os pais de voc\u00eas o", "start": 4924.12, "duration": 5.49}, {"text": "motel e Angelina Jolie teu abra\u00e7o assim", "start": 4926.91, "duration": 4.25}, {"text": "v\u00e3o para tr\u00e1s de uma \u00e1rvore se esconder", "start": 4929.61, "duration": 3.3}, {"text": "ele tem um ali atr\u00e1s em cima", "start": 4931.16, "duration": 4.36}, {"text": "escondidinhos eu posso tomar uma tamb\u00e9m", "start": 4932.91, "duration": 4.14}, {"text": "pegar um lado n\u00e3o Ah sim com certeza", "start": 4935.52, "duration": 2.97}, {"text": "pode pode mandar eu vou fazer assim", "start": 4937.05, "duration": 3.57}, {"text": "ent\u00e3o eu saio correndo palavra e te", "start": 4938.49, "duration": 3.75}, {"text": "pegar o olho d\u00e1 um teste for\u00e7a no", "start": 4940.62, "duration": 4.66}, {"text": "Sobreviv\u00eancia para vender", "start": 4942.24, "duration": 3.629}, {"text": "de", "start": 4945.28, "duration": 5.37}, {"text": "14 a voc\u00ea voc\u00ea voc\u00ea acha um galho bom", "start": 4945.869, "duration": 7.001}, {"text": "mas voc\u00ea n\u00e3o consegue quebrar ele ainda", "start": 4950.65, "duration": 3.02}, {"text": "o", "start": 4952.87, "duration": 3.45}, {"text": "rosa tu t\u00e1 tentando tirar mas voc\u00ea n\u00e3o", "start": 4953.67, "duration": 3.85}, {"text": "consegue tirar um galho bom voc\u00ea t\u00e1", "start": 4956.32, "duration": 2.46}, {"text": "quase na faculdade para conseguir com", "start": 4957.52, "duration": 4.08}, {"text": "certeza A B\u00e1rbara t\u00e1 eu uso o meu", "start": 4958.78, "duration": 4.14}, {"text": "movimento para correr para cima do", "start": 4961.6, "duration": 3.99}, {"text": "javali e j\u00e1 chegou metendo o pau l\u00e1 da", "start": 4962.92, "duration": 6.6}, {"text": "colocou galho olha aqui \u00e9 um de 41", "start": 4965.59, "duration": 8.66}, {"text": "e n\u00e3o \u00e9 o ataque do ele \u00e9 por sua luta", "start": 4969.52, "duration": 9.65}, {"text": "luta 12 t\u00e1", "start": 4974.25, "duration": 4.92}, {"text": "h\u00e1", "start": 4979.2, "duration": 3.8}, {"text": "quatro anos voc\u00ea", "start": 4979.79, "duration": 7.56}, {"text": "t\u00e1 eu chego assim correndo", "start": 4983.0, "duration": 4.35}, {"text": "foi o agora voc\u00eas eu usava", "start": 4990.95, "duration": 7.15}, {"text": "eu vou entrar e vou tentar trabalhar", "start": 4995.87, "duration": 5.77}, {"text": "tamb\u00e9m pode bater \u00f3", "start": 4998.1, "duration": 8.24}, {"text": "a 15 Voc\u00ea t\u00e1 certa pode dar um ano", "start": 5001.64, "duration": 4.7}, {"text": "144 [\u00a0__\u00a0] voc\u00eas dois uma mensagem", "start": 5007.77, "duration": 6.82}, {"text": "mexendo trans 55 jogaram os pobres temos", "start": 5010.33, "duration": 6.42}, {"text": "que assistir um bicho a voc\u00ea pode", "start": 5014.59, "duration": 6.02}, {"text": "ventinho na cara dele assim voc\u00ea tirou", "start": 5016.75, "duration": 7.11}, {"text": "ele \u00e9 voc\u00ea", "start": 5020.61, "duration": 5.74}, {"text": "quer saber e desceu o [\u00a0__\u00a0] de trabalho", "start": 5023.86, "duration": 5.84}, {"text": "eu vou pegar uma mala", "start": 5026.35, "duration": 6.39}, {"text": "eu vou tentar cruzar na cabe\u00e7a do bicho", "start": 5029.7, "duration": 5.4}, {"text": "Fala meu amigo certeza", "start": 5032.74, "duration": 5.21}, {"text": "d\u00e1 um pontaria com agilidade por favor", "start": 5035.1, "duration": 7.09}, {"text": "[\u00a0__\u00a0] com agilidade poderiam de 20 N\u00e3o", "start": 5037.95, "duration": 7.38}, {"text": "poderia uma per\u00edcia na verdade \u00e9 o", "start": 5042.19, "duration": 5.76}, {"text": "quanto de que agilidade voc\u00ea tem eu", "start": 5045.33, "duration": 5.68}, {"text": "tenho 21", "start": 5047.95, "duration": 3.06}, {"text": "em", "start": 5057.05, "duration": 4.29}, {"text": "1212 voc\u00ea acerta o javali ele escreve", "start": 5057.58, "duration": 5.62}, {"text": "para mim como voc\u00ea atira essa mala e vou", "start": 5061.34, "duration": 5.21}, {"text": "jogar nada na cabe\u00e7a dele assim t\u00e1 Bia", "start": 5063.2, "duration": 7.58}, {"text": "desgra\u00e7ado voc\u00ea tem bacon 200 filme", "start": 5066.55, "duration": 7.84}, {"text": "jogar um de 6 / 2 para mim t\u00e1 isso", "start": 5070.78, "duration": 5.59}, {"text": "acontecer n\u00f3s tocando \u00e9 fato que n\u00e3o tem", "start": 5074.39, "duration": 5.39}, {"text": "seis toca aqui \u00f3", "start": 5076.37, "duration": 3.41}, {"text": "o meu tr\u00eas Ent\u00e3o voc\u00ea deu um de Daniele", "start": 5079.969, "duration": 5.661}, {"text": "t\u00e1 porque a Giovana para baixo", "start": 5083.269, "duration": 6.651}, {"text": "por baixo da cabe\u00e7a que cai a", "start": 5085.63, "duration": 8.549}, {"text": "ele parece bem irritado", "start": 5089.92, "duration": 4.259}, {"text": "Oi e ele vai tentar", "start": 5094.21, "duration": 5.7}, {"text": "investir no mil porque recebeu mais duro", "start": 5096.3, "duration": 6.01}, {"text": "nele voc\u00ea pode tentar esquivar de novo", "start": 5099.91, "duration": 5.12}, {"text": "obviamente isso que v\u00e1", "start": 5102.31, "duration": 6.59}, {"text": "ele a investir na sua dire\u00e7\u00e3o", "start": 5105.03, "duration": 3.87}, {"text": "21:18 voc\u00ea sai da frente e ele vai reto", "start": 5111.54, "duration": 5.94}, {"text": "no oriente", "start": 5114.82, "duration": 2.66}, {"text": "a mas eu n\u00e3o tivesse abreviada por bate", "start": 5118.14, "duration": 5.98}, {"text": "do Batida do lado da do Tron e agora \u00e9", "start": 5121.39, "duration": 5.69}, {"text": "voc\u00ea Ah t\u00e1 eu consigo puxar o galo e", "start": 5124.12, "duration": 5.72}, {"text": "bater nele mas vamos levar quando voc\u00ea", "start": 5127.08, "duration": 5.46}, {"text": "pode tentar eu vou passar o que \u00e9 um", "start": 5129.84, "duration": 5.16}, {"text": "movimento voc\u00ea pode tentar eu j\u00e1 consigo", "start": 5132.54, "duration": 6.81}, {"text": "Ent\u00e3o assim voc\u00ea pegou o olho na m\u00e3o na", "start": 5135.0, "duration": 8.219}, {"text": "frente 1441", "start": 5139.35, "duration": 3.869}, {"text": "\u00e9 um saber que trigo mais for\u00e7a \u00e9 uma", "start": 5148.42, "duration": 6.84}, {"text": "esposa dois ent\u00e3o dois \u00e9 exatamente", "start": 5152.17, "duration": 6.0}, {"text": "precisava voc\u00ea bate no tronco assim ele", "start": 5155.26, "duration": 4.65}, {"text": "t\u00e1 meio desnorteado voc\u00ea d\u00e1 mais uma", "start": 5158.17, "duration": 5.33}, {"text": "porrada na cabe\u00e7a dele que show que sai", "start": 5159.91, "duration": 7.7}, {"text": "correndo de volta por meio do mato", "start": 5163.5, "duration": 10.38}, {"text": "ficando s\u00f3 voc\u00ea hein e o Cavalcante ai", "start": 5167.61, "duration": 6.27}, {"text": "sempre visar se voc\u00eas veja vale os", "start": 5175.5, "duration": 7.03}, {"text": "galhos d\u00e1 uma assustada nele Mas t\u00e1 tudo", "start": 5178.96, "duration": 5.64}, {"text": "certo ent\u00e3o t\u00e1 tudo normal coisas eu n\u00e3o", "start": 5182.53, "duration": 6.68}, {"text": "\u00e9 meio complicado n\u00e9 porque voc\u00eas", "start": 5184.6, "duration": 8.42}, {"text": "espancaram o pouco", "start": 5189.21, "duration": 3.81}, {"text": "ent\u00e3o o", "start": 5193.41, "duration": 3.09}, {"text": "e aqui ela vai as vers\u00f5es normal aqui", "start": 5208.4, "duration": 6.42}, {"text": "abri a mala j\u00e1 j\u00e1 d\u00e1 um jeitinho isso", "start": 5211.34, "duration": 5.19}, {"text": "da\u00ed Pelo amor de Deus e ela come\u00e7a a", "start": 5214.82, "duration": 4.2}, {"text": "puxar Hospital umas paradinhas para", "start": 5216.53, "duration": 5.209}, {"text": "tratar a filha dele porque voc\u00ea faz eu", "start": 5219.02, "duration": 5.1}, {"text": "me aproximo dele ah mas ela que \u00e9 para", "start": 5221.739, "duration": 4.361}, {"text": "ajudar n\u00e9 sim mas \u00e9 mais time quanto eu", "start": 5224.12, "duration": 4.32}, {"text": "vou fazer isso que eu t\u00f4 foi feito \u00e9 T\u00e1", "start": 5226.1, "duration": 4.829}, {"text": "tudo bem T\u00e1 tudo bem a\u00ed vai me aperte", "start": 5228.44, "duration": 5.67}, {"text": "ele mostra que t\u00e1 bem feio mas ele t\u00e1", "start": 5230.929, "duration": 5.031}, {"text": "ele t\u00e1 segundo ele", "start": 5234.11, "duration": 3.77}, {"text": "foram", "start": 5235.96, "duration": 4.239}, {"text": "bicho os povo \u00e9 isso aqui pode ficar", "start": 5237.88, "duration": 3.31}, {"text": "tranquilo que isso n\u00e3o vai acontecer de", "start": 5240.199, "duration": 3.601}, {"text": "novo \u00e9 vai ficar tudo bem quem tem", "start": 5241.19, "duration": 5.63}, {"text": "alguma coisa para o", "start": 5243.8, "duration": 3.02}, {"text": "papai n\u00e3o comprou isso aqui n\u00e9 n\u00e9", "start": 5253.179, "duration": 4.261}, {"text": "a borra puxou o papai molenga", "start": 5265.12, "duration": 4.94}, {"text": "voc\u00ea quer que eu fa\u00e7a mano o neg\u00f3cio", "start": 5270.69, "duration": 5.5}, {"text": "correndo t\u00f4 com o menino ali Tenta vir", "start": 5273.37, "duration": 5.19}, {"text": "aqui mais r\u00e1pido e se tivesse acontecido", "start": 5276.19, "duration": 4.71}, {"text": "alguma coisa comigo e eu sou muito mais", "start": 5278.56, "duration": 3.83}, {"text": "importante aqui qualquer coisa aqui", "start": 5280.9, "duration": 4.5}, {"text": "qualquer coisa que sua m\u00e3e vai ler voc\u00ea", "start": 5282.39, "duration": 5.29}, {"text": "tem um ano mais velho Mano pelo amor de", "start": 5285.4, "duration": 4.07}, {"text": "Deus quem", "start": 5287.68, "duration": 5.42}, {"text": "tem que ter vida por voc\u00ea", "start": 5289.47, "duration": 5.64}, {"text": "eu quero pegar", "start": 5293.1, "duration": 4.98}, {"text": "aqui", "start": 5295.11, "duration": 5.31}, {"text": "eu pego", "start": 5298.08, "duration": 5.43}, {"text": "uma vez", "start": 5300.42, "duration": 3.09}, {"text": "mais", "start": 5306.72, "duration": 3.0}, {"text": "forte assim", "start": 5315.42, "duration": 3.21}, {"text": "ele vai ficar bem a", "start": 5319.2, "duration": 4.36}, {"text": "e voc\u00ea parece que ela est\u00e1 tratando", "start": 5325.13, "duration": 3.9}, {"text": "direitinho ou t\u00e1 fazendo de qualquer dia", "start": 5327.17, "duration": 4.76}, {"text": "eu amo ela \u00e9 m\u00e3e ela j\u00e1 me conta muita", "start": 5329.03, "duration": 7.23}, {"text": "ela se limpou o Tratado a gente n\u00e3o", "start": 5331.93, "duration": 6.12}, {"text": "faria melhor que ela n\u00e9", "start": 5336.26, "duration": 5.52}, {"text": "voc\u00ea n\u00e3o sabe mas tipo ela eu vou deixar", "start": 5338.05, "duration": 8.91}, {"text": "eu ver voc\u00ea receber ou n\u00e3o \u00e9 meu", "start": 5341.78, "duration": 5.18}, {"text": "metendo a m\u00e3o suja", "start": 5348.88, "duration": 6.87}, {"text": "as m\u00e3os sujas", "start": 5352.09, "duration": 3.66}, {"text": "normal j\u00e1", "start": 5361.06, "duration": 3.15}, {"text": "peguei as malas e", "start": 5382.72, "duration": 6.44}, {"text": "e eu t\u00f4 com ele assim no ombro ent\u00e3o eu", "start": 5385.14, "duration": 6.5}, {"text": "n\u00e3o", "start": 5389.16, "duration": 2.48}, {"text": "deixa", "start": 5393.17, "duration": 3.0}, {"text": "igualmente agora a gente sair para", "start": 5398.03, "duration": 6.0}, {"text": "o resto do caminho ainda bem \u00e9 tranquilo", "start": 5405.89, "duration": 7.99}, {"text": "continuam seguindo esta trilha faz uma", "start": 5409.91, "duration": 6.85}, {"text": "curva \u00e0 esquerda e eventualmente voc\u00ea se", "start": 5413.88, "duration": 5.45}, {"text": "vem de frente com o grande port\u00e3o aberto", "start": 5416.76, "duration": 5.2}, {"text": "da miss\u00e3o", "start": 5419.33, "duration": 5.6}, {"text": "e \u00e9 uma miss\u00e3o muito grande e imponente", "start": 5421.96, "duration": 7.59}, {"text": "ela tem v\u00e1rios andares a os antes da", "start": 5424.93, "duration": 6.84}, {"text": "muni\u00e7\u00e3o de voc\u00eas a muni\u00e7\u00e3o um grande", "start": 5429.55, "duration": 5.06}, {"text": "Jardim que t\u00e1 relativamente mal cuidado", "start": 5431.77, "duration": 6.36}, {"text": "a B\u00e1rbara faz o melhor que ela pode mas", "start": 5434.61, "duration": 7.2}, {"text": "\u00e9 muita coisa para uma pessoa s\u00f3 cuidado", "start": 5438.13, "duration": 7.17}, {"text": "tem uma grande fonte no meio da desse", "start": 5441.81, "duration": 5.56}, {"text": "jardim com algumas moedas mais \u00e0", "start": 5445.3, "duration": 3.93}, {"text": "esquerda tem uma casinha e a casinha da", "start": 5447.37, "duration": 4.32}, {"text": "jardineira de onde a B\u00e1rbara", "start": 5449.23, "duration": 5.57}, {"text": "j\u00e1 saiu onde ela acordou", "start": 5451.69, "duration": 6.77}, {"text": "o que tem esse caminho que leva a a", "start": 5454.8, "duration": 6.75}, {"text": "grande porta dupla da mans\u00e3o do cantor", "start": 5458.46, "duration": 5.239}, {"text": "Constantino Moretti", "start": 5461.55, "duration": 6.569}, {"text": "gente \u00f3 mans\u00e3o aqui bem-vindo a casinha", "start": 5463.699, "duration": 7.241}, {"text": "n\u00f3s voc\u00eas eu moro naquela casa ali eu", "start": 5468.119, "duration": 5.25}, {"text": "dou uma vontade e voc\u00eas v\u00e3o ficar ali", "start": 5470.94, "duration": 5.549}, {"text": "naquela grandona me tal voc\u00ea morra no", "start": 5473.369, "duration": 6.08}, {"text": "barraquinho velho e a gente vai morar", "start": 5476.489, "duration": 5.941}, {"text": "no bairro a Ca\u00e7u velho", "start": 5479.449, "duration": 4.321}, {"text": "E a\u00ed", "start": 5482.43, "duration": 4.1}, {"text": "quem \u00e9", "start": 5483.77, "duration": 3.35}, {"text": "Oi", "start": 5486.53, "duration": 3.27}, {"text": "Thalia agora voc\u00eas v\u00e3o gostar se voc\u00eas", "start": 5487.12, "duration": 5.88}, {"text": "v\u00e3o gostar da l\u00edngua l\u00e1 dentro", "start": 5489.8, "duration": 7.14}, {"text": "l\u00e1 dentro por fora por dentro Algu\u00e9m", "start": 5493.0, "duration": 5.34}, {"text": "vivo a\u00ed voc\u00ea", "start": 5496.94, "duration": 4.97}, {"text": "vai ser um \u00f3timo meu irm\u00e3o", "start": 5498.34, "duration": 8.23}, {"text": "mora aqui j\u00e1 tem essa casa a\u00ed eu", "start": 5501.91, "duration": 7.739}, {"text": "[M\u00fasica]", "start": 5506.57, "duration": 3.079}, {"text": "cuidar horta", "start": 5517.84, "duration": 9.45}, {"text": "de tomate essas coisas voc\u00ea tem aqui \u00f3", "start": 5521.17, "duration": 6.12}, {"text": "E a\u00ed cad\u00ea Pablo", "start": 5527.38, "duration": 6.0}, {"text": "Aceita aceita as fics aqui aceita assim", "start": 5529.679, "duration": 6.761}, {"text": "ent\u00e3o 500 Fix acho que n\u00e3o vai ter que", "start": 5533.38, "duration": 4.89}, {"text": "aqui da explicar para eles como \u00e9 que", "start": 5536.44, "duration": 5.279}, {"text": "funciona na Vila viu l\u00e1 ajudar voc\u00eas n\u00e3o", "start": 5538.27, "duration": 5.4}, {"text": "aceita fixo assim sem nada toca o que \u00e9", "start": 5541.719, "duration": 5.761}, {"text": "que esse aqui \u00e9 seda tecido a\u00e7\u00facar", "start": 5543.67, "duration": 6.77}, {"text": "qualquer moeda aqui que preciso que", "start": 5547.48, "duration": 5.85}, {"text": "voc\u00eas trocam mantimentos o o meu ali", "start": 5550.44, "duration": 5.23}, {"text": "Pesca e leva para o Mercador o Barqueiro", "start": 5553.33, "duration": 4.65}, {"text": "na viagem que voc\u00eas ele tava trazendo", "start": 5555.67, "duration": 4.95}, {"text": "v\u00e1rias caixas com mantimentos a o", "start": 5557.98, "duration": 4.8}, {"text": "Barqueiro tr\u00e1s movimentos voc\u00eas est\u00e3o o", "start": 5560.62, "duration": 4.38}, {"text": "que voc\u00eas produzem a ele e ele troca com", "start": 5562.78, "duration": 5.16}, {"text": "aquele tr\u00e1s de fora da ilha a moeda", "start": 5565.0, "duration": 5.429}, {"text": "basicamente a gente t\u00e1 mercadoria no", "start": 5567.94, "duration": 5.52}, {"text": "geral eu pego usar fa\u00e7o tomate levo para", "start": 5570.429, "duration": 5.31}, {"text": "o Mercador e l\u00e1 no mercado eu pego eu", "start": 5573.46, "duration": 5.199}, {"text": "precisar de", "start": 5575.739, "duration": 6.161}, {"text": "a tonalidade respondo assim entrou que", "start": 5578.659, "duration": 5.661}, {"text": "sabe para fazer o que \u00e9 um sonho", "start": 5581.9, "duration": 7.019}, {"text": "me acorda por favor n\u00e3o", "start": 5584.32, "duration": 4.599}, {"text": "e eu quero por vai", "start": 5592.76, "duration": 3.87}, {"text": "comprar minha mochila nas costas e", "start": 5594.699, "duration": 4.811}, {"text": "promo\u00e7\u00e3o T\u00e1 eu vou botar a m\u00e3o no ombro", "start": 5596.63, "duration": 4.56}, {"text": "dele falar se n\u00e3o t\u00e1 tendo as dele fala", "start": 5599.51, "duration": 3.27}, {"text": "assim vai na frente que eu n\u00e3o t\u00f4 com", "start": 5601.19, "duration": 3.69}, {"text": "aquela ma\u00e7aneta e nem puniu ganhasse", "start": 5602.78, "duration": 3.5}, {"text": "Embasa Diogo", "start": 5604.88, "duration": 5.72}, {"text": "Boa tarde ent\u00e3o voc\u00eas a gente essa \u00e9 a", "start": 5606.28, "duration": 6.36}, {"text": "primeira vez que eu vou ver a porta da", "start": 5610.6, "duration": 3.83}, {"text": "mans\u00e3o abrir aqui", "start": 5612.64, "duration": 6.39}, {"text": "e se a gente fosse ali que a janela do", "start": 5614.43, "duration": 6.97}, {"text": "meu quarto da direto para a vis\u00e3o Da da", "start": 5619.03, "duration": 5.7}, {"text": "porta da manh\u00e3 ent\u00e3o vamos faz piano ah", "start": 5621.4, "duration": 4.73}, {"text": "ah", "start": 5624.73, "duration": 4.05}, {"text": "Gente pelo amor de Deus voc\u00eas mataram", "start": 5626.13, "duration": 8.07}, {"text": "mataram o jantar com a gente hoje n\u00e9 \u00c9", "start": 5628.78, "duration": 5.42}, {"text": "claro", "start": 5637.05, "duration": 6.72}, {"text": "a nossa vida pelo amor de Deus n\u00e9 \u00c9", "start": 5639.48, "duration": 4.29}, {"text": "e eu ligo eu vou dizer que n\u00e3o tava", "start": 5666.29, "duration": 6.08}, {"text": "assim permitiu assim", "start": 5669.56, "duration": 6.66}, {"text": "inclusive mas uma tarde uma salsinha", "start": 5672.37, "duration": 5.83}, {"text": "para levar ali por para voc\u00ea para a", "start": 5676.22, "duration": 4.28}, {"text": "gente fazer", "start": 5678.2, "duration": 2.3}, {"text": "eu ent\u00e3o eu n\u00e3o vou junto com ele n\u00e3o t\u00e1", "start": 5694.15, "duration": 6.7}, {"text": "a o resto Ent\u00e3o vai em dire\u00e7\u00e3o \u00e0 porta", "start": 5697.73, "duration": 7.82}, {"text": "da mans\u00e3o e voc\u00eas v\u00eam essas duas \u00e9 uma", "start": 5700.85, "duration": 7.86}, {"text": "entrada imponente assim s\u00e3o duas grandes", "start": 5705.55, "duration": 6.34}, {"text": "portas bem decoradas \u00e9 bem bonita a", "start": 5708.71, "duration": 5.04}, {"text": "entrada no seu almo\u00e7o n\u00e3o interessa \u00e9", "start": 5711.89, "duration": 3.93}, {"text": "pra onde lugar muito maior mora nos EUA", "start": 5713.75, "duration": 3.78}, {"text": "ou casa que voc\u00ea j\u00e1 presenciaram t\u00e3o de", "start": 5715.82, "duration": 3.63}, {"text": "perto mesmo voc\u00eas morando no condom\u00ednio", "start": 5717.53, "duration": 5.39}, {"text": "fechado de pessoas bem dicas a a", "start": 5719.45, "duration": 7.689}, {"text": "Cavalcante ele t\u00e1 olhando Nossa grande e", "start": 5722.92, "duration": 6.69}, {"text": "e ele come\u00e7a a notar uma paradinha", "start": 5727.139, "duration": 3.931}, {"text": "E a\u00ed", "start": 5729.61, "duration": 5.9}, {"text": "o time t\u00e1 a boca meninas que querem", "start": 5731.07, "duration": 6.45}, {"text": "fazer as honras escolhe voc\u00ea quer abrir", "start": 5735.51, "duration": 4.14}, {"text": "ele encontro nessa merda eu pego o", "start": 5737.52, "duration": 4.17}, {"text": "espa\u00e7o pela import\u00e2ncia eu n\u00e3o encosto", "start": 5739.65, "duration": 4.14}, {"text": "nessa ver agora ent\u00e3o a gente vai", "start": 5741.69, "duration": 5.46}, {"text": "discordar \u00e9", "start": 5743.79, "duration": 3.36}, {"text": "se", "start": 5753.99, "duration": 3.78}, {"text": "voc\u00ea encontra a mat\u00e9ria t\u00e1 muito", "start": 5755.3, "duration": 5.55}, {"text": "enferrujada e suja voc\u00ea encosta voc\u00ea", "start": 5757.77, "duration": 7.41}, {"text": "gira uma Tenda Atacado", "start": 5760.85, "duration": 4.33}, {"text": "Ah t\u00e1 trancado o gente t\u00e1 trancada a", "start": 5766.04, "duration": 5.87}, {"text": "mans\u00e3o aqui como \u00e9 que vai vir rapaz", "start": 5769.52, "duration": 5.46}, {"text": "tem que abrir se ele \u00e9 um jeito n\u00e9 tem", "start": 5771.91, "duration": 6.73}, {"text": "que Abrir Clash of tapa \u00e9 chave n\u00e3o tem", "start": 5774.98, "duration": 6.75}, {"text": "aqui chave tamb\u00e9m n\u00e3o existe eu achei", "start": 5778.64, "duration": 5.22}, {"text": "que ia dar um jeito de entrar na casa", "start": 5781.73, "duration": 4.92}, {"text": "para beijar a menina n\u00e3o \u00e9 jardineira", "start": 5783.86, "duration": 4.94}, {"text": "talvez ela sabe onde tem a chave", "start": 5786.65, "duration": 5.13}, {"text": "enquanto isso eu vi que a B\u00e1rbara foi", "start": 5788.8, "duration": 6.94}, {"text": "para horta eu fui na dire\u00e7\u00e3o dela sei", "start": 5791.78, "duration": 5.27}, {"text": "que", "start": 5795.74, "duration": 3.39}, {"text": "tentasse j\u00e1 vale lembrar um pouco dos", "start": 5797.05, "duration": 4.25}, {"text": "velhos tempos n\u00e9", "start": 5799.13, "duration": 4.87}, {"text": "\u00c9 mas voc\u00ea nem liga eu t\u00f4 dar uma", "start": 5801.3, "duration": 5.33}, {"text": "arrumada aqui na florzinha n\u00e9", "start": 5804.0, "duration": 5.67}, {"text": "que que voc\u00ea acha desses novos moradores", "start": 5806.63, "duration": 5.799}, {"text": "da Ilha eu fiquei at\u00e9 empolgado mas n\u00e3o", "start": 5809.67, "duration": 5.279}, {"text": "sei se eu t\u00f4 t\u00e3o empolgada Voc\u00ea precisa", "start": 5812.429, "duration": 6.111}, {"text": "de ajuda tudo bem sogra t\u00e1", "start": 5814.949, "duration": 7.161}, {"text": "gente t\u00e1 gente", "start": 5818.54, "duration": 3.57}, {"text": "foi convidado", "start": 5822.199, "duration": 5.281}, {"text": "seja", "start": 5824.75, "duration": 5.13}, {"text": "alguma vez depois", "start": 5827.48, "duration": 5.61}, {"text": "n\u00e3o n\u00e9", "start": 5829.88, "duration": 3.21}, {"text": "Eu acho que voc\u00ea j\u00e1 tentou eu n\u00e3o sei", "start": 5833.75, "duration": 6.869}, {"text": "n\u00e3o", "start": 5838.11, "duration": 4.64}, {"text": "mas eu acho", "start": 5840.619, "duration": 4.861}, {"text": "interessante eu", "start": 5842.75, "duration": 6.09}, {"text": "n\u00e3o sei minha m\u00e3e fala", "start": 5845.48, "duration": 5.77}, {"text": "isso s\u00f3 pode ser um bom sinal tem coisa", "start": 5848.84, "duration": 3.359}, {"text": "l\u00e1", "start": 5851.25, "duration": 3.86}, {"text": "e \u00e9 t\u00e3o na Live \u00e9 meio Lel\u00e9 das ideia", "start": 5852.199, "duration": 4.371}, {"text": "m\u00e3e a", "start": 5855.11, "duration": 5.299}, {"text": "sua Margarida ficar a\u00ed obrigada", "start": 5856.57, "duration": 8.169}, {"text": "bom se ele pode ir l\u00e1 na mans\u00e3o", "start": 5860.409, "duration": 6.58}, {"text": "e quando voc\u00ea fala a\u00ed voc\u00eas olham voc\u00eas", "start": 5864.739, "duration": 3.451}, {"text": "vem ele tem que eu abrir a ma\u00e7aneta", "start": 5866.989, "duration": 4.65}, {"text": "assim t\u00e1 trancado B\u00e1rbara voc\u00ea sabe que", "start": 5868.19, "duration": 6.54}, {"text": "a tem uma chave reserva da miss\u00e3o", "start": 5871.639, "duration": 5.761}, {"text": "escondida dentro da sua casa a sua m\u00e3e", "start": 5874.73, "duration": 4.469}, {"text": "acha que voc\u00ea n\u00e3o sabe onde t\u00e1 mas voc\u00ea", "start": 5877.4, "duration": 3.04}, {"text": "sabe dar", "start": 5879.199, "duration": 4.631}, {"text": "Ah t\u00e1 eu ouvi eles falando que que n\u00e3o", "start": 5880.44, "duration": 4.74}, {"text": "viu mas voc\u00ea t\u00e1 vendo aquilo consegue", "start": 5883.83, "duration": 4.889}, {"text": "Bernardo e", "start": 5885.18, "duration": 3.539}, {"text": "oi oi l\u00e1 l\u00e1", "start": 5888.98, "duration": 6.41}, {"text": "e vai ajudar ou n\u00e3o a\u00ed eu vou n\u00e9 vai", "start": 5891.97, "duration": 7.23}, {"text": "pera\u00ed deixa ele eu n\u00e3o posso cor da dona", "start": 5895.39, "duration": 5.76}, {"text": "livro ent\u00e3o voc\u00ea faz se lencinho que eu", "start": 5899.2, "duration": 5.39}, {"text": "j\u00e1 volto a porta", "start": 5901.15, "duration": 5.79}, {"text": "voc\u00eas est\u00e3o olhando para trancar n\u00e3o \u00e9", "start": 5904.59, "duration": 4.99}, {"text": "Monique pegar um baita por a\u00ed n\u00e9 n\u00e3o", "start": 5906.94, "duration": 4.989}, {"text": "quer ir", "start": 5909.58, "duration": 5.789}, {"text": "a minha trabalha", "start": 5911.929, "duration": 3.44}, {"text": "como \u00e9 que \u00e9 o neg\u00f3cio", "start": 5916.84, "duration": 6.029}, {"text": "de menino todo mundo nome dele \u00e9 Oi", "start": 5919.239, "duration": 6.63}, {"text": "Carlos", "start": 5922.869, "duration": 3.0}, {"text": "Camilo Camilo oi vem aqui por gentileza", "start": 5928.929, "duration": 8.23}, {"text": "eu vou eu tive que colocar nesse lixo e", "start": 5933.429, "duration": 9.88}, {"text": "n\u00e3o viu esse lixo a mans\u00e3o est\u00e1 dizendo", "start": 5937.159, "duration": 9.23}, {"text": "e onde est\u00e1 a ma\u00e7aneta que tem uma", "start": 5943.309, "duration": 7.14}, {"text": "caneta e voc\u00ea tocar eu coloco ficou com", "start": 5946.389, "duration": 6.19}, {"text": "vontade tentando abre assim eu fico s\u00f3", "start": 5950.449, "duration": 3.691}, {"text": "cada senhora para ele", "start": 5952.579, "duration": 4.321}, {"text": "O que foi mas isso aqui \u00e9 com isso aqui", "start": 5954.14, "duration": 5.4}, {"text": "ela t\u00e1 trancada mas a barba ela vai", "start": 5956.9, "duration": 4.47}, {"text": "tentar pegar a chave eu acho que para", "start": 5959.54, "duration": 5.6}, {"text": "voc\u00eas alguns gel", "start": 5961.37, "duration": 3.77}, {"text": "deixa eu pegar", "start": 5965.71, "duration": 6.24}, {"text": "tudo n\u00e9 n\u00e3o tem nada", "start": 5967.96, "duration": 3.99}, {"text": "a\u00ed eu pego com ela eu", "start": 5973.75, "duration": 4.38}, {"text": "acho", "start": 5980.2, "duration": 3.0}, {"text": "estranho mas eu fa\u00e7o assim eu quero", "start": 5985.54, "duration": 4.92}, {"text": "muito", "start": 5997.06, "duration": 3.0}, {"text": "legal e", "start": 6005.97, "duration": 4.0}, {"text": "e debaixo de um dos arm\u00e1rios na sua casa", "start": 6014.15, "duration": 5.339}, {"text": "voc\u00ea pega ela e voc\u00ea v\u00ea voc\u00ea chega na", "start": 6017.06, "duration": 5.01}, {"text": "situa\u00e7\u00e3o de 30 uma mulher botando gel na", "start": 6019.489, "duration": 5.0}, {"text": "m\u00e3o de todo mundo", "start": 6022.07, "duration": 6.75}, {"text": "a gente \u00e9 minha m\u00e3e Esconde isso aqui em", "start": 6024.489, "duration": 7.0}, {"text": "casa \u00e9 uma chave da mans\u00e3o \u00e9 que ela", "start": 6028.82, "duration": 4.2}, {"text": "sempre falou para eu nunca entrar ela", "start": 6031.489, "duration": 3.931}, {"text": "tamb\u00e9m n\u00e3o gosta ela Esconde isso aqui a", "start": 6033.02, "duration": 4.199}, {"text": "gente pode chamar ela tamb\u00e9m para jantar", "start": 6035.42, "duration": 4.17}, {"text": "com a gente eu mostro um faz isso dona", "start": 6037.219, "duration": 4.71}, {"text": "L\u00edvia odeia pode ter certeza que se voc\u00ea", "start": 6039.59, "duration": 3.839}, {"text": "vai se arrepender acho melhor deixar ela", "start": 6041.929, "duration": 4.46}, {"text": "l\u00e1 B\u00e1rbara chevron do Lim\u00e3o", "start": 6043.429, "duration": 6.32}, {"text": "\u00e9 assim que os gerentes ou minha flor no", "start": 6046.389, "duration": 5.931}, {"text": "Jardim tem um cheiro melhor que isso em", "start": 6049.749, "duration": 5.87}, {"text": "muito limpa", "start": 6052.32, "duration": 3.299}, {"text": "sen\u00e3o n\u00e3o teria a", "start": 6060.269, "duration": 4.361}, {"text": "e eu vamos ter que tirar outro colocar", "start": 6065.45, "duration": 6.03}, {"text": "mais camisinha ferrujado e grossa e suja", "start": 6067.88, "duration": 6.9}, {"text": "de terra ela", "start": 6071.48, "duration": 3.3}, {"text": "a", "start": 6076.8, "duration": 4.609}, {"text": "enfiar a chave na porta", "start": 6077.78, "duration": 3.629}, {"text": "\u00e9 meio dif\u00edcil de voc\u00ea consegue puxar e", "start": 6089.329, "duration": 7.27}, {"text": "a\u00ed eu empurro eu assim com a ponta da", "start": 6093.17, "duration": 7.259}, {"text": "caneta e eu empurro a porta com o p\u00e9", "start": 6096.599, "duration": 9.241}, {"text": "empurrou a porta ela vai abrindo e a", "start": 6100.429, "duration": 7.44}, {"text": "gente vai para o rapidinho", "start": 6105.84, "duration": 5.779}, {"text": "15 minutinhos o", "start": 6107.869, "duration": 6.75}, {"text": "interior desta mans\u00e3o a", "start": 6111.619, "duration": 6.25}, {"text": "intervalo uma um an\u00fancio aqui eu tenho", "start": 6114.619, "duration": 5.29}, {"text": "que eu t\u00f4 usando essa blusa e se eu", "start": 6117.869, "duration": 4.02}, {"text": "levantar e os esteira Mostrar no mapa", "start": 6119.909, "duration": 4.321}, {"text": "essa e seu Design da ilha a gente tem", "start": 6121.889, "duration": 5.25}, {"text": "uma blusa com o caminho porque est\u00e1", "start": 6124.23, "duration": 4.56}, {"text": "sendo feito na ele est\u00e1 sendo lan\u00e7ada", "start": 6127.139, "duration": 4.56}, {"text": "agora a se voc\u00ea entra no site da loja", "start": 6128.79, "duration": 4.74}, {"text": "vai ter um QR Code que mostrar o caminho", "start": 6131.699, "duration": 3.931}, {"text": "ent\u00e3o um \u00e1udio a\u00ed onde est\u00e1 esse tempo", "start": 6133.53, "duration": 6.24}, {"text": "todo aqui voc\u00ea n\u00e3o e essa nova", "start": 6135.63, "duration": 7.21}, {"text": "a pode botar o que \u00e9 coisa aqui na tela", "start": 6139.77, "duration": 6.429}, {"text": "produ\u00e7\u00e3o t\u00e1 anunciado agora a outra pode", "start": 6142.84, "duration": 5.879}, {"text": "sair hoje para ir para uol.com.br da\u00ed a", "start": 6146.199, "duration": 4.411}, {"text": "d\u00fazia da ilha a gente deve lan\u00e7ar um", "start": 6148.719, "duration": 4.5}, {"text": "produto por Epis\u00f3dio uma uma nova o", "start": 6150.61, "duration": 5.04}, {"text": "epis\u00f3dio clube e esse e essa \u00e9 do", "start": 6153.219, "duration": 5.371}, {"text": "epis\u00f3dio de hoje caminho da ilha a gente", "start": 6155.65, "duration": 4.589}, {"text": "volta em 15 minutinhos v\u00e3o ver umas", "start": 6158.59, "duration": 3.989}, {"text": "fanarts s\u00e3o agulha no banheiro e a gente", "start": 6160.239, "duration": 4.32}, {"text": "volta para ver o que tem dentro da", "start": 6162.579, "duration": 6.721}, {"text": "mans\u00e3o de Constantino dan\u00e7arei ent\u00e3o de", "start": 6164.559, "duration": 7.77}, {"text": "volta estamos de volta do intervalo todo", "start": 6169.3, "duration": 5.759}, {"text": "mundo a preparado lembrando mais uma vez", "start": 6172.329, "duration": 3.991}, {"text": "sequer coisa aqui na terra que t\u00e1", "start": 6175.059, "duration": 3.421}, {"text": "perguntando \u00e9 dessa blusa que \u00e9 o", "start": 6176.32, "duration": 4.08}, {"text": "formato do caminho da Ilha se voc\u00ea viu", "start": 6178.48, "duration": 3.69}, {"text": "que coisa vai direto para loja a gente", "start": 6180.4, "duration": 4.02}, {"text": "deve lan\u00e7ar um produto baseado no", "start": 6182.17, "duration": 4.219}, {"text": "Segredo na ilha diferente por semana", "start": 6184.42, "duration": 4.77}, {"text": "esses L\u00e1 \u00e9 muito porque me surpreendido", "start": 6186.389, "duration": 3.631}, {"text": "com ele", "start": 6189.19, "duration": 4.83}, {"text": "s\u00f3 isso estamos de volta aqui com nossos", "start": 6190.02, "duration": 6.63}, {"text": "quatro protagonistas", "start": 6194.02, "duration": 5.949}, {"text": "E a\u00ed antes da gente ir para o intervalo", "start": 6196.65, "duration": 8.58}, {"text": "voc\u00eas quatro tinham acabado de encontrar", "start": 6199.969, "duration": 9.091}, {"text": "a mans\u00e3o do Constantino Moretti", "start": 6205.23, "duration": 8.45}, {"text": "o pintor que desapareceu misteriosamente", "start": 6209.06, "duration": 7.67}, {"text": "a ave mais de 20 anos", "start": 6213.68, "duration": 5.75}, {"text": "eu abri a jardineira m\u00e3e da B\u00e1rbara", "start": 6216.73, "duration": 5.82}, {"text": "tinha a chave escondida para essa mans\u00e3o", "start": 6219.43, "duration": 9.68}, {"text": "e voc\u00eas todos entraram e se deparam com", "start": 6222.55, "duration": 12.26}, {"text": "\u00e9 um grande ent\u00e3o muito grande a e muito", "start": 6229.11, "duration": 7.58}, {"text": "bonito", "start": 6234.81, "duration": 3.26}, {"text": "[M\u00fasica]", "start": 6236.69, "duration": 4.9}, {"text": "voc\u00ea vem no tem um grande tapete no ch\u00e3o", "start": 6238.07, "duration": 5.339}, {"text": "levando at\u00e9 o", "start": 6241.59, "duration": 5.279}, {"text": "levando voc\u00eas pelo Hall E no fim da", "start": 6243.409, "duration": 8.011}, {"text": "parede tem uma tem in\u00fameros quadros", "start": 6246.869, "duration": 7.861}, {"text": "para todos os lados os m\u00f3veis S\u00e3o", "start": 6251.42, "duration": 5.35}, {"text": "posicionados ao redor da sala de maneira", "start": 6254.73, "duration": 4.53}, {"text": "elegante e possibilitam muito empoeirado", "start": 6256.77, "duration": 7.469}, {"text": "os antigos mas \u00e9 imposs\u00edvel n\u00e3o notar um", "start": 6259.26, "duration": 6.05}, {"text": "retrato", "start": 6264.239, "duration": 5.701}, {"text": "espec\u00edfico enorme no outro lado da sala", "start": 6265.31, "duration": 7.3}, {"text": "com mais de dois metros funcionado em", "start": 6269.94, "duration": 5.73}, {"text": "cima da escada voc\u00eas vem um homem com um", "start": 6272.61, "duration": 4.34}, {"text": "olhar profundo", "start": 6275.67, "duration": 3.29}, {"text": "e o sentimentos voc\u00eas t\u00eam olhando para", "start": 6276.95, "duration": 4.44}, {"text": "esse quadro \u00c9 como se ele conseguisse", "start": 6278.96, "duration": 5.72}, {"text": "observar atrav\u00e9s da alma de voc\u00eas", "start": 6281.39, "duration": 5.91}, {"text": "embaixo da escada de onde ele est\u00e1", "start": 6284.68, "duration": 5.95}, {"text": "posicionado tem um grande corredor que", "start": 6287.3, "duration": 5.31}, {"text": "leva para uma para mostrar l\u00e1 atr\u00e1s mais", "start": 6290.63, "duration": 7.089}, {"text": "escura e tem algumas portas aos lados", "start": 6292.61, "duration": 7.83}, {"text": "e esse grande sal\u00e3o", "start": 6297.719, "duration": 3.611}, {"text": "Oi", "start": 6300.44, "duration": 3.57}, {"text": "voc\u00eas est\u00e3o Voc\u00eas acabaram de entrar o", "start": 6301.33, "duration": 4.869}, {"text": "qu\u00ea que voc\u00eas querem fazer a minha", "start": 6304.01, "duration": 3.9}, {"text": "primeira rea\u00e7\u00e3o eu nunca tinha entrado", "start": 6306.199, "duration": 3.891}, {"text": "em um lugar t\u00e3o grande assim eu fico", "start": 6307.91, "duration": 5.43}, {"text": "deslumbrado Eu j\u00e1 tinha visto eu nunca", "start": 6310.09, "duration": 4.54}, {"text": "tinha visto o rosto dentro desse", "start": 6313.34, "duration": 3.21}, {"text": "descarga n\u00e9 voc\u00ea nunca vi esse cara n\u00e3o", "start": 6314.63, "duration": 4.35}, {"text": "mas n\u00e3o que entrou na mans\u00e3o mas eu sei", "start": 6316.55, "duration": 4.14}, {"text": "que o pintor vai voc\u00ea sabe quem \u00e9 essa", "start": 6318.98, "duration": 5.489}, {"text": "mans\u00e3o era uma li\u00e7\u00e3o de um pintor a voc\u00ea", "start": 6320.69, "duration": 5.22}, {"text": "lembra de eu ver algumas responder a", "start": 6324.469, "duration": 3.75}, {"text": "Constantino e voc\u00ea sabe que tem alguma", "start": 6325.91, "duration": 4.23}, {"text": "hist\u00f3ria macabra que contavam sobre ele", "start": 6328.219, "duration": 3.391}, {"text": "mas se voc\u00ea n\u00e3o sabe exatamente Cristo", "start": 6330.14, "duration": 3.62}, {"text": "para essa t\u00e1", "start": 6331.61, "duration": 4.16}, {"text": "B\u00e1rbara Ent\u00e3o", "start": 6333.76, "duration": 5.32}, {"text": "\u00e9 isso essa \u00e9 a mans\u00e3o", "start": 6335.77, "duration": 5.38}, {"text": "o meu Deus tem algo entra vai aumentar", "start": 6339.08, "duration": 5.88}, {"text": "em dez meses do aluguel o Cavalcante", "start": 6341.15, "duration": 6.06}, {"text": "parece empolgado ele sai quase que", "start": 6344.96, "duration": 3.96}, {"text": "correndo Tipo ele vai mancando assim", "start": 6347.21, "duration": 4.74}, {"text": "visam analisar os m\u00f3veis ele come\u00e7a a", "start": 6348.92, "duration": 5.37}, {"text": "ver tudo detalhadamente assim ele tira", "start": 6351.95, "duration": 4.55}, {"text": "um pouco de poeira", "start": 6354.29, "duration": 4.03}, {"text": "E a\u00ed", "start": 6356.5, "duration": 5.53}, {"text": "e os pais de voc\u00eas", "start": 6358.32, "duration": 7.56}, {"text": "a Angelina l\u00e1 olha admirada assim ela", "start": 6362.03, "duration": 6.19}, {"text": "nem ela nem parece n\u00e3o fala nenhuma", "start": 6365.88, "duration": 6.69}, {"text": "rela\u00e7\u00e3o e um mont\u00e3o ele", "start": 6368.22, "duration": 8.94}, {"text": "e Santo Cristo que lindo os quadros Com", "start": 6372.57, "duration": 6.09}, {"text": "certeza na minha frente a\u00ed ele vai", "start": 6377.16, "duration": 5.7}, {"text": "correndo para analisar os quadros de", "start": 6378.66, "duration": 5.97}, {"text": "perto", "start": 6382.86, "duration": 2.299}, {"text": "Ah", "start": 6384.63, "duration": 3.54}, {"text": "t\u00e1 eu falo com a minha m\u00e3e cad\u00ea meu", "start": 6385.159, "duration": 4.781}, {"text": "quarto m\u00e3e n\u00e3o sabe eu deixei isso aqui", "start": 6388.17, "duration": 4.23}, {"text": "n\u00e9 olha eu liguei era n\u00e3o \u00e9 OK mas o", "start": 6389.94, "duration": 4.56}, {"text": "quarto agora o tamanho olha \u00e0s vezes eu", "start": 6392.4, "duration": 4.13}, {"text": "acho isso", "start": 6394.5, "duration": 4.52}, {"text": "Calma calma", "start": 6396.53, "duration": 5.109}, {"text": "gente Calma tem que ter calma curtir um", "start": 6399.02, "duration": 4.96}, {"text": "pouco o espa\u00e7o que lindo ambiente acho", "start": 6401.639, "duration": 4.171}, {"text": "que a gente no topo sei l\u00e1 quanto tempo", "start": 6403.98, "duration": 3.3}, {"text": "agora pegando por favor isso eu quero", "start": 6405.81, "duration": 3.81}, {"text": "deixar voc\u00ea saber fica a\u00ed tentando", "start": 6407.28, "duration": 4.29}, {"text": "convencer ela eu vou ver ele t\u00e1 bom vou", "start": 6409.62, "duration": 4.95}, {"text": "perguntar certinho eu sou seu pai ok", "start": 6411.57, "duration": 6.03}, {"text": "voc\u00ea ver ele t\u00e1 tipo a parte aqui no", "start": 6414.57, "duration": 5.399}, {"text": "\u00f3culos assim olhando passando a m\u00e3o numa", "start": 6417.6, "duration": 4.38}, {"text": "das pinturas a parede \u00e9 tem v\u00e1rias", "start": 6419.969, "duration": 3.69}, {"text": "pinturas diferentes voc\u00eas gente v\u00e1rias", "start": 6421.98, "duration": 3.9}, {"text": "v\u00e1rias delas do meio destru\u00eddas e", "start": 6423.659, "duration": 4.411}, {"text": "desgastados enquanto outras est\u00e3o um", "start": 6425.88, "duration": 3.5}, {"text": "pouquinho mais", "start": 6428.07, "duration": 3.69}, {"text": "sobre um pouco mais ao tempo aqui", "start": 6429.38, "duration": 4.029}, {"text": "definitivamente ouviu mais ao tempo de", "start": 6431.76, "duration": 4.32}, {"text": "todas essas \u00e9 o retrato grande na parede", "start": 6433.409, "duration": 6.571}, {"text": "Ok eu quero tirar do meu bolso voc\u00ea vai", "start": 6436.08, "duration": 5.94}, {"text": "ter seu pai n\u00e9 Eu quero tirar do meu", "start": 6439.98, "duration": 4.66}, {"text": "bolso aquele retratinho do farol e falar", "start": 6442.02, "duration": 5.01}, {"text": "o papai o que eu achei aqui", "start": 6444.64, "duration": 4.82}, {"text": "Bom dia mo\u00e7o para ele o retratinho", "start": 6447.03, "duration": 4.279}, {"text": "aquele do", "start": 6449.46, "duration": 3.949}, {"text": "que lindo", "start": 6451.309, "duration": 4.421}, {"text": "voc\u00ea vai seu pai t\u00e1 tremendo Depois", "start": 6453.409, "duration": 4.63}, {"text": "ainda acreditava assim ele passa a\u00ed", "start": 6455.73, "duration": 4.59}, {"text": "quase subi as escadas ele n\u00e3o escutou eu", "start": 6458.039, "duration": 5.37}, {"text": "t\u00f4 falando com voc\u00ea sim pode pode ele", "start": 6460.32, "duration": 6.5}, {"text": "n\u00e3o tem problema meu Deus", "start": 6463.409, "duration": 5.851}, {"text": "a bola", "start": 6466.82, "duration": 5.23}, {"text": "Hoje eu vou beber hoje ent\u00e3o", "start": 6469.26, "duration": 5.589}, {"text": "e ele te ignoro", "start": 6472.05, "duration": 4.839}, {"text": "Ah t\u00e1 eu continuo olhando os quadros com", "start": 6474.849, "duration": 4.14}, {"text": "ele ent\u00e3o \u00e9 isso voc\u00eas voc\u00ea vai atr\u00e1s", "start": 6476.889, "duration": 5.42}, {"text": "dele t\u00e1 enquanto isso voc\u00eas", "start": 6478.989, "duration": 6.9}, {"text": "eu t\u00f4 bem intimidado pelo pelo lugar eu", "start": 6482.309, "duration": 5.35}, {"text": "realmente n\u00e3o sei muito para onde ir O", "start": 6485.889, "duration": 3.96}, {"text": "que olhar o que fazer porque eu n\u00e3o", "start": 6487.659, "duration": 4.8}, {"text": "quero entrar no lugar assim eu fico mais", "start": 6489.849, "duration": 4.38}, {"text": "pr\u00f3ximo da B\u00e1rbara porque sen\u00e3o", "start": 6492.459, "duration": 3.35}, {"text": "disposi\u00e7\u00e3o de", "start": 6494.229, "duration": 4.65}, {"text": "alguma coisa que eu t\u00f4 que eu conhe\u00e7o", "start": 6495.809, "duration": 5.911}, {"text": "que t\u00e1 ali coisa n\u00e9", "start": 6498.879, "duration": 4.901}, {"text": "E a\u00ed", "start": 6501.72, "duration": 2.06}, {"text": "e", "start": 6503.9, "duration": 4.589}, {"text": "voc\u00eas voc\u00eas podem levar as bagagens \u00e9", "start": 6504.79, "duration": 6.01}, {"text": "bom tem que achar os quartos mesmo n\u00e9", "start": 6508.489, "duration": 4.741}, {"text": "para colocar as malas vamos ver deve", "start": 6510.8, "duration": 4.05}, {"text": "estar no segundo andar n\u00e9 Eu imagino que", "start": 6513.23, "duration": 3.719}, {"text": "a gente pode levar eu ajuda a gente", "start": 6514.85, "duration": 4.26}, {"text": "ajuda Bom vamos l\u00e1 agora para dar \u00e9", "start": 6516.949, "duration": 5.681}, {"text": "reclamar n\u00e3o \u00e9 s\u00f3 por causa bagagem sim", "start": 6519.11, "duration": 6.52}, {"text": "a aliviar voc\u00ea quer vir eu vou na vamos", "start": 6522.63, "duration": 6.12}, {"text": "ver com as quatro tem a voc\u00ea s\u00f3 me t\u00f4", "start": 6525.63, "duration": 5.46}, {"text": "conseguindo andar sem t\u00e1 Voc\u00eas passam", "start": 6528.75, "duration": 4.53}, {"text": "pela ele tentando falar com o pai dela e", "start": 6531.09, "duration": 4.8}, {"text": "nesse ponto para voc\u00eas voc\u00eas v\u00e3o pegando", "start": 6533.28, "duration": 3.96}, {"text": "todas as bagagens \u00e9 para levar l\u00e1 para", "start": 6535.89, "duration": 3.08}, {"text": "cima a", "start": 6537.24, "duration": 5.25}, {"text": "o pai o motel e a melito tipo de frente", "start": 6538.97, "duration": 6.19}, {"text": "para esse grande retrato O maior deles", "start": 6542.49, "duration": 4.79}, {"text": "ele t\u00e1 tipo", "start": 6545.16, "duration": 3.999}, {"text": "o Constantino", "start": 6547.28, "duration": 4.83}, {"text": "um dos maiores artistas brasileiros de", "start": 6549.159, "duration": 5.371}, {"text": "todos os tempos", "start": 6552.11, "duration": 2.42}, {"text": "e o pai \u00e9 voc\u00ea chega ao lado dele", "start": 6555.37, "duration": 7.5}, {"text": "o carro restante t\u00e1 l\u00e1 embaixo voc\u00ea", "start": 6560.37, "duration": 4.66}, {"text": "chega no seu pai voc\u00ea \u00e9 o qu\u00ea que foi", "start": 6562.87, "duration": 4.47}, {"text": "ele ver que voc\u00ea fazendo a\u00ed toda \u00e9 tudo", "start": 6565.03, "duration": 4.29}, {"text": "voc\u00ea \u00e9 meu trabalho ou vai para o seu", "start": 6567.34, "duration": 3.27}, {"text": "quarto n\u00e3o pensei no Santos acabou de", "start": 6569.32, "duration": 3.45}, {"text": "chegar depois eu vejo isso ela n\u00e3o", "start": 6570.61, "duration": 3.36}, {"text": "entendeu amor de Deus eu tenho que", "start": 6572.77, "duration": 4.29}, {"text": "trabalhar vai leva as bagagem para os", "start": 6573.97, "duration": 6.93}, {"text": "quartos faz alguma coisa assim \u00f3 mas", "start": 6577.06, "duration": 7.17}, {"text": "desculpa a\u00ed interrompesse o mas \u00e9 ci\u00fame", "start": 6580.9, "duration": 5.48}, {"text": "aqui da pintura \u00e9 o pintor", "start": 6584.23, "duration": 5.23}, {"text": "Esse \u00e9 o Constantino sim", "start": 6586.38, "duration": 5.33}, {"text": "o trabalho trabalho trabalho dele", "start": 6589.46, "duration": 5.46}, {"text": "espl\u00eandido olha ao redor a inacredit\u00e1vel", "start": 6591.71, "duration": 5.73}, {"text": "pensa que eu t\u00f4 aqui", "start": 6594.92, "duration": 4.77}, {"text": "\u00e9 de onde voc\u00ea conhece o Constantino", "start": 6597.44, "duration": 5.94}, {"text": "pelo extremamente famoso no Brasil \u00e9 o", "start": 6599.69, "duration": 7.529}, {"text": "voc\u00eas nunca ouviram falar dele tamb\u00e9m \u00e9", "start": 6603.38, "duration": 6.78}, {"text": "o seu tamb\u00e9m aumentar microfone da Bia", "start": 6607.219, "duration": 4.621}, {"text": "favor acho que o meu tava forte de longe", "start": 6610.16, "duration": 3.69}, {"text": "da boca", "start": 6611.84, "duration": 3.59}, {"text": "e", "start": 6613.85, "duration": 5.63}, {"text": "ele tinha filho voc\u00ea carra", "start": 6615.43, "duration": 7.99}, {"text": "n\u00e3o que voc\u00ea sabe ele ele ficou", "start": 6619.48, "duration": 6.55}, {"text": "extremamente Popular por muitos anos e", "start": 6623.42, "duration": 4.68}, {"text": "de repente desapareceu decidiu que ia", "start": 6626.03, "duration": 5.31}, {"text": "morrer nessa Ilha ele nunca mais fez", "start": 6628.1, "duration": 5.09}, {"text": "nenhuma exposi\u00e7\u00e3o", "start": 6631.34, "duration": 4.31}, {"text": "bom ent\u00e3o se eu veio para mans\u00e3o por", "start": 6633.19, "duration": 5.16}, {"text": "causa do pintor eu fui contratado para", "start": 6635.65, "duration": 5.1}, {"text": "n\u00f3s as pinturas dele ele aparentemente", "start": 6638.35, "duration": 4.32}, {"text": "foi considerado legalmente morto ele", "start": 6640.75, "duration": 4.26}, {"text": "desapareceu h\u00e1 mais de 20 anos eu fui", "start": 6642.67, "duration": 5.01}, {"text": "escolhido por analisar as pinturas dele", "start": 6645.01, "duration": 5.61}, {"text": "v\u00ea se tem algo de valor ent\u00e3o voc\u00ea t\u00e1 me", "start": 6647.68, "duration": 6.3}, {"text": "dizendo que esse pintor da nossa ilha \u00e9", "start": 6650.62, "duration": 6.24}, {"text": "mundialmente conhecido no Brasil inteiro", "start": 6653.98, "duration": 6.33}, {"text": "no mundo o enterro mundo inteiro", "start": 6656.86, "duration": 7.98}, {"text": "eu n\u00e3o posso sair n\u00e9 gente nunca ningu\u00e9m", "start": 6660.31, "duration": 6.96}, {"text": "ent\u00e3o voc\u00ea sabe o que \u00e9 o mundo v\u00e3o", "start": 6664.84, "duration": 3.84}, {"text": "ficar parado aqui na escada mesmo eu", "start": 6667.27, "duration": 2.73}, {"text": "quero eu quero achar meu quarto pelo", "start": 6668.68, "duration": 3.12}, {"text": "amor de deus mam\u00e3e eu tamb\u00e9m quero", "start": 6670.0, "duration": 3.9}, {"text": "arrochar meu quarto o calma desculpa", "start": 6671.8, "duration": 4.26}, {"text": "desculpa a gente come\u00e7a a subir voc\u00ea", "start": 6673.9, "duration": 4.44}, {"text": "segue subindo as escadas at\u00e9 o segundo", "start": 6676.06, "duration": 4.35}, {"text": "andar e voc\u00ea vem com segundo andar ele", "start": 6678.34, "duration": 5.22}, {"text": "leva \u00e9 como se fosse aberto assim ela", "start": 6680.41, "duration": 6.18}, {"text": "tem uma varandinha esperta essa \u00e1rea", "start": 6683.56, "duration": 6.57}, {"text": "interna do grande sal\u00e3o deixa eu abrir", "start": 6686.59, "duration": 6.98}, {"text": "aqui o mapa do segundo andar na direita", "start": 6690.13, "duration": 3.44}, {"text": "\u00e9 isso aqui \u00f3", "start": 6694.11, "duration": 5.73}, {"text": "o Ops", "start": 6697.6, "duration": 5.389}, {"text": "e aqui pra c\u00e1", "start": 6699.84, "duration": 6.76}, {"text": "e a o motel e a Meire t\u00e3o aqui embaixo", "start": 6702.989, "duration": 6.371}, {"text": "a e voc\u00eas terminam de subir e chegam no", "start": 6706.6, "duration": 5.43}, {"text": "segundo andar da mans\u00e3o aqui de cima", "start": 6709.36, "duration": 4.98}, {"text": "Voc\u00eas conseguem ver nesse corredor ele \u00e9", "start": 6712.03, "duration": 4.95}, {"text": "um grande quadrado que cerca o sal\u00e3o", "start": 6714.34, "duration": 4.56}, {"text": "conseguem ver o andar de baixo aqui de", "start": 6716.98, "duration": 5.07}, {"text": "cima tem v\u00e1rios quadros em todos os", "start": 6718.9, "duration": 5.58}, {"text": "lugares desta miss\u00e3o tem quadros est\u00e3o", "start": 6722.05, "duration": 5.27}, {"text": "decorando o ambiente", "start": 6724.48, "duration": 6.42}, {"text": "voc\u00eas vem mais \u00e0 frente voc\u00eas para porta", "start": 6727.32, "duration": 4.75}, {"text": "para tudo que \u00e9 lado voc\u00ea consegue ver", "start": 6730.9, "duration": 2.82}, {"text": "no mapa onde tem portas de uma porta", "start": 6732.07, "duration": 4.83}, {"text": "logo \u00e0 frente na escada tem mais uma", "start": 6733.72, "duration": 4.68}, {"text": "porta dupla para esquerda e v\u00e1rias", "start": 6736.9, "duration": 3.39}, {"text": "portas em v\u00e1rios lugares de segundo", "start": 6738.4, "duration": 4.07}, {"text": "andar OK", "start": 6740.29, "duration": 4.35}, {"text": "eu dou uma olhada eu falando sobre", "start": 6742.47, "duration": 4.32}, {"text": "enorme gente", "start": 6744.64, "duration": 6.36}, {"text": "Oliver roupa nos falou ainda mais eu", "start": 6746.79, "duration": 6.1}, {"text": "aconselharia voc\u00ea escolher um quarto com", "start": 6751.0, "duration": 5.16}, {"text": "a vista para o mar \u00e9 eu gosto bem bom", "start": 6752.89, "duration": 5.37}, {"text": "voc\u00ea acordar a\u00ed poder refletir e olhar", "start": 6756.16, "duration": 3.63}, {"text": "para o Marcelo adoro ver o mal eu", "start": 6758.26, "duration": 4.28}, {"text": "arrumar ok onde que fica ent\u00e3o", "start": 6759.79, "duration": 5.37}, {"text": "vamos vamos ver eu eu nunca teria aqui", "start": 6762.54, "duration": 5.42}, {"text": "agora eu quero tanto e vai para vista", "start": 6765.16, "duration": 4.9}, {"text": "para o Jardim \u00e9 bonito tamb\u00e9m sou eu que", "start": 6767.96, "duration": 4.67}, {"text": "cuido eu vou ficar com o mesmo", "start": 6770.06, "duration": 5.659}, {"text": "bom ent\u00e3o eu quero procurar o quarto que", "start": 6772.63, "duration": 5.67}, {"text": "tem \u00e0 vista para o mar para nenhum deles", "start": 6775.719, "duration": 4.201}, {"text": "vai ter visto para Possivelmente esse", "start": 6778.3, "duration": 3.06}, {"text": "algum bilhete vai vir provar vai ficar", "start": 6779.92, "duration": 4.44}, {"text": "do lado esquerdo voc\u00eas vem o Cavalcante", "start": 6781.36, "duration": 5.73}, {"text": "ele ele vem subindo as escadas tamb\u00e9m", "start": 6784.36, "duration": 5.339}, {"text": "analisando a estrutura inteira assim", "start": 6787.09, "duration": 4.17}, {"text": "fazendo v\u00e1rias anota\u00e7\u00f5es Ele parece", "start": 6789.699, "duration": 3.861}, {"text": "muito impressionado com toda a mans\u00e3o", "start": 6791.26, "duration": 5.28}, {"text": "ele chega ent\u00e3o \u00e9 s\u00f3 porque eu n\u00e3o", "start": 6793.56, "duration": 5.04}, {"text": "quarto para dormir n\u00e9", "start": 6796.54, "duration": 4.49}, {"text": "e ele t\u00e1 Possivelmente Sim eu quero", "start": 6798.6, "duration": 6.06}, {"text": "dormir bom \u00e9 consegue saber eu sou um", "start": 6801.03, "duration": 5.43}, {"text": "dos melhores analistas Imobili\u00e1rios que", "start": 6804.66, "duration": 3.56}, {"text": "tem e", "start": 6806.46, "duration": 5.94}, {"text": "o melhor quarto deve ficar aqui ele", "start": 6808.22, "duration": 6.16}, {"text": "tenta abrir a porta de tr\u00e1s dele e t\u00e1", "start": 6812.4, "duration": 3.01}, {"text": "trancada", "start": 6814.38, "duration": 4.86}, {"text": "Ah t\u00e1 trancada \u00e9 tem chave para", "start": 6815.41, "duration": 8.1}, {"text": "B\u00e1rbara n\u00e3o sei ser\u00e1 que \u00e9 a mesma para", "start": 6819.24, "duration": 5.22}, {"text": "tudo", "start": 6823.51, "duration": 2.57}, {"text": "depois eu", "start": 6824.46, "duration": 4.72}, {"text": "deixei a chave com a menina pega a chave", "start": 6826.08, "duration": 6.39}, {"text": "tamb\u00e9m ele t\u00e1 l\u00e1 embaixo", "start": 6829.18, "duration": 3.29}, {"text": "voc\u00eas o seu pai t\u00e1 tipo parece que voc\u00ea", "start": 6833.25, "duration": 5.59}, {"text": "n\u00e3o existe o lado dele ele t\u00e1 s\u00f3 ou a", "start": 6836.68, "duration": 3.81}, {"text": "Helena t\u00e1 na mesa pintura passando assim", "start": 6838.84, "duration": 4.35}, {"text": "a a m\u00e3o na textura do eu queria ele", "start": 6840.49, "duration": 5.37}, {"text": "volta Sobe aqui por favor rapidinho t\u00f4", "start": 6843.19, "duration": 5.85}, {"text": "indo a\u00ed eu subo l\u00e1 ok Voc\u00ea Diz teu pai e", "start": 6845.86, "duration": 5.27}, {"text": "voc\u00ea vai para o segundo andar voc\u00ea chega", "start": 6849.04, "duration": 6.87}, {"text": "Ok d\u00e1 para mim por rapidinho fechada \u00e0", "start": 6851.13, "duration": 8.04}, {"text": "chave da casa aquela que deixei na porta", "start": 6855.91, "duration": 5.1}, {"text": "pode ficar tranquilo que eu deixo", "start": 6859.17, "duration": 5.02}, {"text": "bact\u00e9ria tem problema a chave da uma", "start": 6861.01, "duration": 5.37}, {"text": "teste de investiga\u00e7\u00e3o forense percep\u00e7\u00e3o", "start": 6864.19, "duration": 3.42}, {"text": "real com intelecto n\u00e3o presta aten\u00e7\u00e3o", "start": 6866.38, "duration": 4.07}, {"text": "com internet isso", "start": 6867.61, "duration": 2.84}, {"text": "o", "start": 6870.92, "duration": 7.97}, {"text": "ok nada ela n\u00e3o pensamento e \u00e9 Ok vou eu", "start": 6872.92, "duration": 7.5}, {"text": "vou falar eu vou fazer o que eu fiz o", "start": 6878.89, "duration": 3.12}, {"text": "que eu falei eu vou a\u00ed na porta at\u00e9", "start": 6880.42, "duration": 4.89}, {"text": "pegar a chave ok eu vou comer voc\u00eas dois", "start": 6882.01, "duration": 6.75}, {"text": "descem a voc\u00eas vem a Angelina ela vira", "start": 6885.31, "duration": 5.97}, {"text": "para a esquerda e segue sozinha na", "start": 6888.76, "duration": 5.27}, {"text": "dire\u00e7\u00e3o de um quarto com portas duplas", "start": 6891.28, "duration": 5.24}, {"text": "\u00e9 a mais Pesqueira a gente vai", "start": 6894.03, "duration": 4.279}, {"text": "acompanhar ela a", "start": 6896.52, "duration": 6.36}, {"text": "ela chega na frente ele se quatro e \u00e9", "start": 6898.309, "duration": 6.611}, {"text": "uma abre a porta", "start": 6902.88, "duration": 5.9}, {"text": "eu achei meu quarto e ela entra", "start": 6904.92, "duration": 5.889}, {"text": "se", "start": 6908.78, "duration": 2.029}, {"text": "voc\u00ea n\u00e3o vem onde eu entrou aqui que a", "start": 6910.84, "duration": 3.819}, {"text": "gente est\u00e1 nesses dois est\u00e3o vendo isso", "start": 6913.219, "duration": 3.781}, {"text": "T\u00e1 eu vou a\u00ed eu vou a\u00ed atr\u00e1s dela para", "start": 6914.659, "duration": 4.951}, {"text": "ver o quarto dela eu vou falar mam\u00e3e", "start": 6917.0, "duration": 5.059}, {"text": "Espera a\u00ed eu vou ver seu quarto", "start": 6919.61, "duration": 5.129}, {"text": "voc\u00ea quando voc\u00eas vem o quarto que ela", "start": 6922.059, "duration": 4.48}, {"text": "entrou voc\u00eas deparam com um quarto", "start": 6924.739, "duration": 6.181}, {"text": "enorme de casal com uma grande cama bem", "start": 6926.539, "duration": 6.33}, {"text": "elegante um grande tapete v\u00e1rios", "start": 6930.92, "duration": 4.1}, {"text": "arm\u00e1rios e estantes", "start": 6932.869, "duration": 5.281}, {"text": "ela vira pode pode pedir para os meninos", "start": 6935.02, "duration": 5.26}, {"text": "l\u00e1 trazerem as minhas bagagens para c\u00e1", "start": 6938.15, "duration": 5.819}, {"text": "por favor meu Deus ela vem toda felizona", "start": 6940.28, "duration": 6.419}, {"text": "assim e abre os bra\u00e7os e se joga de", "start": 6943.969, "duration": 6.601}, {"text": "costas na cama ai toma [\u00a0__\u00a0] nuvem de", "start": 6946.699, "duration": 6.75}, {"text": "poeira a\u00ed pelo amor de Deus sente a casa", "start": 6950.57, "duration": 6.23}, {"text": "est\u00e1 com ela dentro voc\u00eas ent\u00e3o juntos", "start": 6953.449, "duration": 5.851}, {"text": "Caraca m\u00e3e eu tenho que ser bom esse \u00e9", "start": 6956.8, "duration": 4.239}, {"text": "meu quarto voc\u00eas podem encontrar o de", "start": 6959.3, "duration": 4.439}, {"text": "voc\u00eas e claro que se tiver um concordo", "start": 6961.039, "duration": 3.721}, {"text": "voc\u00ea conseguir encontrar com o pai de", "start": 6963.739, "duration": 3.36}, {"text": "voc\u00eas tamb\u00e9m pode ser interessante esse", "start": 6964.76, "duration": 5.5}, {"text": "pronome de voc\u00ea n\u00e3o a menina essa cama", "start": 6967.099, "duration": 6.04}, {"text": "cheia de poeira a\u00ed s\u00f3 bateu cobertura um", "start": 6970.26, "duration": 5.25}, {"text": "pouquinho n\u00e3o tem vai dormir aonde no", "start": 6973.139, "duration": 4.821}, {"text": "ch\u00e3o a Mili", "start": 6975.51, "duration": 5.84}, {"text": "e a gente chega na porta eh voc\u00ea chegar", "start": 6977.96, "duration": 5.31}, {"text": "a porta l\u00e1 embaixo sim \u00e9 para voc\u00ea vai", "start": 6981.35, "duration": 3.599}, {"text": "pensar que eu t\u00f4 pensando", "start": 6983.27, "duration": 3.84}, {"text": "o flash que n\u00e3o vai ter tanta", "start": 6984.949, "duration": 4.71}, {"text": "oportunidade para explorar essa no\u00e7\u00e3o", "start": 6987.11, "duration": 6.0}, {"text": "quente sempre achou que voc\u00ea n\u00e3o acho", "start": 6989.659, "duration": 5.161}, {"text": "meio estranho esse lugar tem sido", "start": 6993.11, "duration": 4.4}, {"text": "abandonada", "start": 6994.82, "duration": 2.69}, {"text": "do dinheiro veio aqui vai fazer uma", "start": 7000.15, "duration": 6.089}, {"text": "Eu tamb\u00e9m n\u00e3o sei", "start": 7004.05, "duration": 5.14}, {"text": "mas eu acho que a gente podia aproveitar", "start": 7006.239, "duration": 5.32}, {"text": "para aproveitar o que a gente puder essa", "start": 7009.19, "duration": 4.949}, {"text": "noite eu quero tem muito tempo que eu", "start": 7011.559, "duration": 5.011}, {"text": "n\u00e3o fico t\u00e3o animado com alguma coisa", "start": 7014.139, "duration": 4.02}, {"text": "assim eu n\u00e3o tenho os blocos nada tanto", "start": 7016.57, "duration": 4.109}, {"text": "tempo ent\u00e3o velho eu procuro o pai dele", "start": 7018.159, "duration": 4.83}, {"text": "ele tava analisando os quadros ainda", "start": 7020.679, "duration": 5.69}, {"text": "voc\u00eas vem ele descendo as escadas", "start": 7022.989, "duration": 6.181}, {"text": "e ele tenta ele t\u00e1 atravessando o \u00e1lcool", "start": 7026.369, "duration": 4.62}, {"text": "nesse momento", "start": 7029.17, "duration": 5.159}, {"text": "eu t\u00f4 atravessando o sal\u00e3o alguma coisa", "start": 7030.989, "duration": 5.17}, {"text": "a chave estava l\u00e1 a chave t\u00e1 l\u00e1 assim", "start": 7034.329, "duration": 5.46}, {"text": "at\u00e9 uma chave colocada na porta n\u00e3o pega", "start": 7036.159, "duration": 7.46}, {"text": "essa chave aqui e vamos vamos o tipo", "start": 7039.789, "duration": 6.03}, {"text": "extra\u00eddo que d\u00e1 uma olhada aqui em baixo", "start": 7043.619, "duration": 5.83}, {"text": "t\u00e1 adorando as pinturas tudo mais quente", "start": 7045.819, "duration": 5.07}, {"text": "Pronto ele vai querer ver tamb\u00e9m mais", "start": 7049.449, "duration": 3.281}, {"text": "n\u00e3o", "start": 7050.889, "duration": 5.681}, {"text": "a crian\u00e7a uma crian\u00e7a mais para frente", "start": 7052.73, "duration": 5.49}, {"text": "n\u00e3o faz tem que fazer exatamente a mesma", "start": 7056.57, "duration": 4.02}, {"text": "coisa todos os dias essa \u00e9 primeira vez", "start": 7058.22, "duration": 3.33}, {"text": "em anos que a gente tem alguma coisa", "start": 7060.59, "duration": 3.0}, {"text": "nova para fazer e eu desculpa animado e", "start": 7061.55, "duration": 3.529}, {"text": "eu quero fazer uma coisa", "start": 7063.59, "duration": 5.569}, {"text": "o mixology \u00e9 s\u00f3 puxar o Jardim o jardim", "start": 7065.079, "duration": 6.26}, {"text": "\u00e9 tudo que eu tenho", "start": 7069.159, "duration": 4.2}, {"text": "agora vai acontecer nada ent\u00e3o vai", "start": 7071.339, "duration": 5.95}, {"text": "jantar n\u00e9 ent\u00e3o vambora vai conhecer os", "start": 7073.359, "duration": 7.191}, {"text": "quartos eu pego a chave e sente sobe", "start": 7077.289, "duration": 6.23}, {"text": "perfeito quando voc\u00ea passa voc\u00ea v\u00ea o", "start": 7080.55, "duration": 6.279}, {"text": "motel Ele t\u00e1 tentando abrir a porta", "start": 7083.519, "duration": 7.09}, {"text": "dupla da Lara de voc\u00eas a grana direita e", "start": 7086.829, "duration": 6.84}, {"text": "t\u00e1 trancada tamb\u00e9m ali rouba todas as", "start": 7090.609, "duration": 4.921}, {"text": "pontas essa massa todo aplicada que que", "start": 7093.669, "duration": 3.901}, {"text": "t\u00e1 acontecendo por que que trancaram", "start": 7095.53, "duration": 3.85}, {"text": "todas as pontas", "start": 7097.57, "duration": 5.26}, {"text": "o pior voc\u00ea quer tentar com a chave que", "start": 7099.38, "duration": 5.22}, {"text": "n\u00f3s usou para abrir a porta Pode ser que", "start": 7102.83, "duration": 4.49}, {"text": "seja a mesma pode ser velho", "start": 7104.6, "duration": 5.1}, {"text": "eu quero tentar abrir com a minha casa", "start": 7107.32, "duration": 5.77}, {"text": "voc\u00ea vai em dire\u00e7\u00e3o \u00e0 porta voc\u00ea coloca", "start": 7109.7, "duration": 5.979}, {"text": "a chave entre", "start": 7113.09, "duration": 6.849}, {"text": "em abril Abril \u00e9 s\u00f3 para Barbie eu quero", "start": 7115.679, "duration": 5.451}, {"text": "ver", "start": 7119.939, "duration": 3.87}, {"text": "muito bom menino voc\u00ea vai levar a", "start": 7121.13, "duration": 5.049}, {"text": "bagagem t\u00e1 l\u00e1 em cima j\u00e1 desculpa n\u00e3o", "start": 7123.809, "duration": 4.17}, {"text": "tinha percebido mas agora eu vou", "start": 7126.179, "duration": 3.42}, {"text": "precisar subir para aparentemente essa", "start": 7127.979, "duration": 3.93}, {"text": "chave abre as portas ent\u00e3o l\u00e1 pelo", "start": 7129.599, "duration": 4.951}, {"text": "jeitor muito bom agora voc\u00ea voc\u00ea vai", "start": 7131.909, "duration": 4.32}, {"text": "abrindo a porta e quando ele abre a", "start": 7134.55, "duration": 3.33}, {"text": "porta voc\u00eas viram um grande escrit\u00f3rio", "start": 7136.229, "duration": 5.281}, {"text": "na frente de voc\u00eas com uma grande mesa a", "start": 7137.88, "duration": 5.73}, {"text": "estante de livros atr\u00e1s tem v\u00e1rias", "start": 7141.51, "duration": 4.14}, {"text": "arm\u00e1rios sof\u00e1s tem um globo terrestre", "start": 7143.61, "duration": 4.29}, {"text": "mais um canto um papel de parede bem", "start": 7145.65, "duration": 5.759}, {"text": "Elegante e pronto t\u00e1 muito empoeirado", "start": 7147.9, "duration": 5.759}, {"text": "tudo t\u00e1 muito muito antigo muito", "start": 7151.409, "duration": 3.5}, {"text": "abandonado", "start": 7153.659, "duration": 4.261}, {"text": "Bom eu acho que aqui vai soltar voc\u00ea vai", "start": 7154.909, "duration": 5.38}, {"text": "trabalhar n\u00e9 porque a gente Daqui sim", "start": 7157.92, "duration": 3.989}, {"text": "ele entra todo empolgado para o que pode", "start": 7160.289, "duration": 4.44}, {"text": "encontrar aqui dentro a gente vai abrir", "start": 7161.909, "duration": 5.31}, {"text": "as outras fortes para sua fam\u00edlia que t\u00e1", "start": 7164.729, "duration": 4.74}, {"text": "tudo trancado n\u00e3o pode fazer pode fazer", "start": 7167.219, "duration": 4.411}, {"text": "eu tenho poder ir ele s\u00f3 continuar", "start": 7169.469, "duration": 4.5}, {"text": "seguindo reto e e vai mexer nas coisas", "start": 7171.63, "duration": 7.53}, {"text": "Enquanto isto n\u00e3o Ei voc\u00eas dois a", "start": 7173.969, "duration": 9.241}, {"text": "Angelina levanta da cama bom gente \u00e9", "start": 7179.16, "duration": 7.39}, {"text": "tava tendo uma fome n\u00e9 seria bom a gente", "start": 7183.21, "duration": 5.8}, {"text": "ver de tr\u00eas meninos que estavam aqui", "start": 7186.55, "duration": 5.67}, {"text": "ent\u00e3o ele j\u00e1 vou buscar a chave mas o", "start": 7189.01, "duration": 4.47}, {"text": "que que a gente vai comer n\u00e3o tem nada", "start": 7192.22, "duration": 3.66}, {"text": "aqui a\u00ed tem que algu\u00e9m ir l\u00e1 naquele no", "start": 7193.48, "duration": 4.38}, {"text": "mercadinho \u00e9 s\u00f3 que o mercadinho aqui", "start": 7195.88, "duration": 3.21}, {"text": "nessa vida algu\u00e9m tem que ir l\u00e1 comprar", "start": 7197.86, "duration": 4.53}, {"text": "as coisas e a\u00ed quem ficar aqui pode me", "start": 7199.09, "duration": 4.89}, {"text": "ajudar um pouco a limpar a casa n\u00e9 d\u00e1", "start": 7202.39, "duration": 3.84}, {"text": "uma barriga eu vou no mercado de eu vou", "start": 7203.98, "duration": 5.52}, {"text": "no mercadinho a\u00ed eu vou no mercadinho a", "start": 7206.23, "duration": 6.11}, {"text": "gente v\u00ea se roupa ruim para voc\u00ea sabe", "start": 7209.5, "duration": 5.84}, {"text": "limpa", "start": 7212.34, "duration": 6.649}, {"text": "voc\u00ea vai e eu vou algum mercadinho", "start": 7215.34, "duration": 5.42}, {"text": "mercadinho roupa mas eu quero ficar", "start": 7218.989, "duration": 6.391}, {"text": "tirando pa\u00edses e pega eu quero deixar eu", "start": 7220.76, "duration": 6.029}, {"text": "vou esperar s\u00f3 o menino se ver aqui com", "start": 7225.38, "duration": 5.1}, {"text": "a com a chave para deixar o que importa", "start": 7226.789, "duration": 6.261}, {"text": "\u00e9", "start": 7230.48, "duration": 2.57}, {"text": "melhor que j\u00e1 conhece", "start": 7240.01, "duration": 4.74}, {"text": "a chave", "start": 7257.889, "duration": 3.75}, {"text": "como eu quero cozinhar um peixe para", "start": 7264.639, "duration": 5.051}, {"text": "todo mundo n\u00e9 Voc\u00eas sabem que algum", "start": 7266.869, "duration": 4.56}, {"text": "mercadinho alguma coisa aqui nesse lugar", "start": 7269.69, "duration": 4.71}, {"text": "nesse nessa ir\u00e1 desculpa mas \u00e9 claro eu", "start": 7271.429, "duration": 4.591}, {"text": "posso se voc\u00ea quiser eu posso buscar", "start": 7274.4, "duration": 4.06}, {"text": "conhe\u00e7o Annabelle e eu que entrego", "start": 7276.02, "duration": 4.33}, {"text": "expectativa menino \u00e9 ent\u00e3o voc\u00ea consegue", "start": 7278.46, "duration": 3.75}, {"text": "levar um dos meus filhos para ir comprar", "start": 7280.35, "duration": 4.2}, {"text": "os ingredientes certinho com voc\u00ea claro", "start": 7282.21, "duration": 5.52}, {"text": "quem quer ir seu primo LED comigo voc\u00ea", "start": 7284.55, "duration": 4.65}, {"text": "n\u00e3o vai me deixar com a menina n\u00e3o n\u00e9", "start": 7287.73, "duration": 4.94}, {"text": "Por favor n\u00e3o me deixa com a menina ido", "start": 7289.2, "duration": 7.35}, {"text": "e viu n\u00e3o me deixa a Camille vai dar n\u00e3o", "start": 7292.67, "duration": 6.46}, {"text": "me deixa com a menina na minha vamos", "start": 7296.55, "duration": 4.67}, {"text": "deixa eu ir me deixar com a menina", "start": 7299.13, "duration": 7.19}, {"text": "bonita ela tem que ficar tranquila mesmo", "start": 7301.22, "duration": 5.1}, {"text": "ent\u00e3o se", "start": 7307.01, "duration": 3.12}, {"text": "voc\u00ea quer tirar t\u00f4 jogando", "start": 7312.14, "duration": 4.83}, {"text": "pelo amor de Deus", "start": 7321.26, "duration": 5.05}, {"text": "quebrando um pouco s\u00f3 para dar uma", "start": 7324.38, "duration": 5.56}, {"text": "indica\u00e7\u00e3o a gente vai dividir voc\u00eas em", "start": 7326.31, "duration": 7.32}, {"text": "duas duplas uma das duplas vai ficar na", "start": 7329.94, "duration": 5.84}, {"text": "mans\u00e3o e vai investigar", "start": 7333.63, "duration": 6.299}, {"text": "a outra du tu vai para o vilarejo", "start": 7335.78, "duration": 6.74}, {"text": "pegar as comidas e os peixes e os", "start": 7339.929, "duration": 4.301}, {"text": "temperos seus Obrigada por ter ficado", "start": 7342.52, "duration": 4.219}, {"text": "com a Gabi uma delas", "start": 7344.23, "duration": 5.849}, {"text": "Beleza mano ficar na mans\u00e3o \u00e9 investigar", "start": 7346.739, "duration": 5.291}, {"text": "a mans\u00e3o \u00e9 mais o caminho de pouso das", "start": 7350.079, "duration": 4.261}, {"text": "coisas e para ir para o vilarejo \u00e9 mais", "start": 7352.03, "duration": 5.069}, {"text": "para o caminho Aventura das coisas voc\u00eas", "start": 7354.34, "duration": 3.77}, {"text": "decidirem", "start": 7357.099, "duration": 4.341}, {"text": "vou usar,", "start": 7358.11, "duration": 5.339}, {"text": "depois", "start": 7361.44, "duration": 5.009}, {"text": "de", "start": 7363.449, "duration": 3.0}, {"text": "apresentar as coisas depois a gente pode", "start": 7367.98, "duration": 6.42}, {"text": "tudo mais eu", "start": 7370.8, "duration": 3.6}, {"text": "moro aqui n\u00e3o mas eu gostei bastante", "start": 7375.179, "duration": 4.951}, {"text": "Azul tem \u00e1gua", "start": 7377.199, "duration": 7.471}, {"text": "Viu a chave a", "start": 7380.13, "duration": 4.54}, {"text": "um tiro Pitoco dela \u00e9 Vila isso eu vou", "start": 7397.28, "duration": 6.72}, {"text": "s\u00f3 deixar minha bala na quarta e a gente", "start": 7401.809, "duration": 4.651}, {"text": "vai fazer Claro a\u00ed eu vou at\u00e9 posso ir", "start": 7404.0, "duration": 4.829}, {"text": "com voc\u00ea ele me achou um quarto ainda", "start": 7406.46, "duration": 3.929}, {"text": "n\u00e3o vou aquele que eu trocar porque ele", "start": 7408.829, "duration": 3.301}, {"text": "foi gostado agora para gente tomar um", "start": 7410.389, "duration": 6.08}, {"text": "banho agora ent\u00e3o", "start": 7412.13, "duration": 4.339}, {"text": "tira um monte de roupa um monte de coisa", "start": 7420.489, "duration": 6.0}, {"text": "colocar o", "start": 7423.53, "duration": 8.299}, {"text": "outro assim colocando as coisas podem", "start": 7426.489, "duration": 5.34}, {"text": "comprar legume batata e cenoura ao", "start": 7432.849, "duration": 6.901}, {"text": "azeite e alho se tiver um tempinho", "start": 7435.889, "duration": 7.19}, {"text": "tem gar\u00e7om", "start": 7439.75, "duration": 7.51}, {"text": "assunto interessa eu posso ver com ele", "start": 7443.079, "duration": 7.171}, {"text": "tem mais arroz", "start": 7447.26, "duration": 6.33}, {"text": "deve ter Tem g\u00e1s aqui g\u00e1s g\u00e1s encanado", "start": 7450.25, "duration": 7.04}, {"text": "g\u00e1s n\u00e3o tem n\u00e3o \u00e9", "start": 7453.59, "duration": 6.88}, {"text": "bom ent\u00e3o traz lenha ent\u00e3o que seja Pode", "start": 7457.29, "duration": 4.83}, {"text": "ficar tranquila a gente vai preparar um", "start": 7460.47, "duration": 3.48}, {"text": "belo Jantar Para voc\u00eas eu vou falar para", "start": 7462.12, "duration": 5.28}, {"text": "voc\u00ea fazer o pior eu vou ajudar lembra", "start": 7463.95, "duration": 6.12}, {"text": "de dar uma passadinha na minha casa pede", "start": 7467.4, "duration": 5.1}, {"text": "para dona L\u00edvia uma caixinha que eu", "start": 7470.07, "duration": 3.96}, {"text": "deixei de temperinho que eu colhi e se", "start": 7472.5, "duration": 4.14}, {"text": "amanh\u00e3 o senhor falou que a gente a", "start": 7474.03, "duration": 4.2}, {"text": "gente vai junto ainda na frente voc\u00ea", "start": 7476.64, "duration": 3.33}, {"text": "falou que a sua m\u00e3e eu ia ficar contente", "start": 7478.23, "duration": 4.32}, {"text": "de jantar aqui porque que ela ficaria", "start": 7479.97, "duration": 5.16}, {"text": "contente de deixar voc\u00ea espera a\u00ed vou", "start": 7482.55, "duration": 3.71}, {"text": "ter que falar com a sua m\u00e3e", "start": 7485.13, "duration": 5.07}, {"text": "\u00e9 s\u00f3 pegar o temperinho a \u00faltima vez que", "start": 7486.26, "duration": 6.4}, {"text": "eu falei com ela n\u00e3o foi poderia colocar", "start": 7490.2, "duration": 5.12}, {"text": "os ela", "start": 7492.66, "duration": 2.66}, {"text": "\u00e9 muito", "start": 7498.56, "duration": 3.36}, {"text": "tem muitas coisas", "start": 7502.43, "duration": 3.63}, {"text": "eu passo l\u00e1 a\u00ed eu espero que ela n\u00e3o", "start": 7506.27, "duration": 4.65}, {"text": "ela n\u00e3o gosta muito assim da mans\u00e3o a", "start": 7513.02, "duration": 6.92}, {"text": "hora que h\u00e1 muitos anos a\u00ed eu acho que \u00e9", "start": 7517.3, "duration": 4.52}, {"text": "de tanto ver amanh\u00e3 s\u00e3o todo dia l\u00e1", "start": 7519.94, "duration": 5.03}, {"text": "cansou um pouco", "start": 7521.82, "duration": 3.15}, {"text": "tempo tamb\u00e9m j\u00e1 guardou Cad\u00ea a chave", "start": 7526.26, "duration": 6.96}, {"text": "chave chave", "start": 7530.46, "duration": 7.53}, {"text": "chave Cad\u00ea a chave", "start": 7533.22, "duration": 4.77}, {"text": "ent\u00e3o eu j\u00e1 peguei na sua m\u00e3o", "start": 7542.43, "duration": 3.86}, {"text": "o", "start": 7545.22, "duration": 4.77}, {"text": "Bruno voc\u00ea n\u00e3o guardou essa merda ainda", "start": 7546.29, "duration": 7.87}, {"text": "n\u00e3o onde no teu cu Bar\u00e3o agora eu agora", "start": 7549.99, "duration": 6.71}, {"text": "o meu quarto vai dar para colocar", "start": 7554.16, "duration": 6.3}, {"text": "junto com a B\u00e1rbara que a gente vai ser", "start": 7556.7, "duration": 5.88}, {"text": "muito amiga", "start": 7560.46, "duration": 4.86}, {"text": "mas s\u00f3 depois que voc\u00ea usar a Giovana", "start": 7562.58, "duration": 5.74}, {"text": "baile na m\u00e3o t\u00e1 eu vou direto por outra", "start": 7565.32, "duration": 4.8}, {"text": "porta que ela trancada ent\u00e3o perfeito a", "start": 7568.32, "duration": 4.41}, {"text": "Amil voc\u00ea acompanhar ele comp\u00f5e perfeito", "start": 7570.12, "duration": 3.62}, {"text": "a", "start": 7572.73, "duration": 3.99}, {"text": "voc\u00eas todos seguem por esses corredores", "start": 7573.74, "duration": 5.53}, {"text": "do segundo andar e v\u00e3o at\u00e9 aquela porta", "start": 7576.72, "duration": 5.16}, {"text": "trancada \u00e9 quando voc\u00ea tem que encaixar", "start": 7579.27, "duration": 4.83}, {"text": "a chave voc\u00ea percebe que essa porta tem", "start": 7581.88, "duration": 4.32}, {"text": "uma fechadura diferente ela \u00e9 um pouco", "start": 7584.1, "duration": 3.53}, {"text": "especial", "start": 7586.2, "duration": 4.97}, {"text": "a gente n\u00e3o t\u00e1 encaixado quando voc\u00ea sai", "start": 7587.63, "duration": 6.06}, {"text": "voc\u00ea tamb\u00e9m vem do outro lado l\u00e1 embaixo", "start": 7591.17, "duration": 6.33}, {"text": "a esquerda o Cavalcante ele ele t\u00e1", "start": 7593.69, "duration": 6.48}, {"text": "testando v\u00e1rias portas a\u00ed ele ele chega", "start": 7597.5, "duration": 5.3}, {"text": "Nessa porta ele abre a", "start": 7600.17, "duration": 6.6}, {"text": "chega o quarto e entra e tu fecha a", "start": 7602.8, "duration": 7.72}, {"text": "porta Ok a prova dente a\u00ed tava com a", "start": 7606.77, "duration": 6.06}, {"text": "chave mesmo disso ent\u00e3o fala coisa n\u00e3o \u00e9", "start": 7610.52, "duration": 4.889}, {"text": "para algu\u00e9m que \u00e9 de andar de cima t\u00e1", "start": 7612.83, "duration": 4.77}, {"text": "N\u00e3o precisa viram como \u00e9 uma varanda n\u00e9", "start": 7615.409, "duration": 3.721}, {"text": "voc\u00ea consegue l\u00e1 do outro lado ele", "start": 7617.6, "duration": 4.67}, {"text": "entrando a gente eu quero ir bater t\u00e1", "start": 7619.13, "duration": 5.339}, {"text": "voc\u00eas v\u00e3o voc\u00ea vai chegar l\u00e1 \u00e9 Bem", "start": 7622.27, "duration": 5.139}, {"text": "longinho que eu quero testar de cada vez", "start": 7624.469, "duration": 4.44}, {"text": "que eu achava que ele tava n\u00e3o n\u00e9 achava", "start": 7627.409, "duration": 2.911}, {"text": "que a porta sem problemas abrir a porta", "start": 7628.909, "duration": 3.211}, {"text": "ele tava muito longe Pronto agora a", "start": 7630.32, "duration": 4.68}, {"text": "porta Claro que n\u00e3o \u00e9 exato t\u00e1 eu", "start": 7632.12, "duration": 4.2}, {"text": "sinceramente acho que essa porta n\u00e3o vai", "start": 7635.0, "duration": 3.929}, {"text": "abrir com essa chave a gente ou pode", "start": 7636.32, "duration": 4.35}, {"text": "Cavalcante hoje seguindo seguindo", "start": 7638.929, "duration": 3.21}, {"text": "corredor reto aqui para voc\u00eas tem mais", "start": 7640.67, "duration": 3.48}, {"text": "duas portas tem que p\u00f4r uma porta a\u00ed tem", "start": 7642.139, "duration": 4.35}, {"text": "um sof\u00e1 s\u00f3 umas mesinhas algumas coisas", "start": 7644.15, "duration": 4.11}, {"text": "ali embaixo puxa que para E a\u00ed", "start": 7646.489, "duration": 4.271}, {"text": "tem outra porta l\u00e1 embaixo mais para o", "start": 7648.26, "duration": 4.39}, {"text": "canto Ok Aonde que eu vou que eu estou", "start": 7650.76, "duration": 4.77}, {"text": "aqui o Cavalcante lembrou isso", "start": 7652.65, "duration": 4.5}, {"text": "exatamente a\u00ed do outro lado l\u00e1 do outro", "start": 7655.53, "duration": 3.109}, {"text": "lado da varanda", "start": 7657.15, "duration": 3.69}, {"text": "e pode escolher outro quarto eu tenho", "start": 7658.639, "duration": 3.911}, {"text": "certeza que vai ser um encontro at\u00e9 pode", "start": 7660.84, "duration": 4.049}, {"text": "ser t\u00e3o ent\u00e3o foi isso a gente vai t\u00e1 na", "start": 7662.55, "duration": 5.46}, {"text": "porta mais fr\u00e1gil n\u00e3o tem n\u00e3o tem a", "start": 7664.889, "duration": 5.281}, {"text": "chave das portas eles e a porta logo ao", "start": 7668.01, "duration": 5.729}, {"text": "lado de uma porta lado a porta aqui t\u00e1", "start": 7670.17, "duration": 6.69}, {"text": "perfeito voc\u00ea chegam nessa porta e", "start": 7673.739, "duration": 7.111}, {"text": "assustador diferente do da anterior eu", "start": 7676.86, "duration": 9.21}, {"text": "quero cantar entrou de trancou e seja", "start": 7680.85, "duration": 7.95}, {"text": "bem vindo ao seu quarto eu acho voc\u00ea", "start": 7686.07, "duration": 6.81}, {"text": "abre a porta e voc\u00ea v\u00ea um quarto com uma", "start": 7688.8, "duration": 7.319}, {"text": "cama de solteiro uma mesinha uma", "start": 7692.88, "duration": 6.12}, {"text": "poltrona uma estante cheia de livros e", "start": 7696.119, "duration": 5.011}, {"text": "coisas antigas e uma mesa l\u00e1 do outro", "start": 7699.0, "duration": 6.17}, {"text": "lado com arm\u00e1rio ao lado da cama E a\u00ed eu", "start": 7701.13, "duration": 6.17}, {"text": "chego eu te amo cheiro dele as coisas do", "start": 7705.17, "duration": 8.16}, {"text": "jogo no ch\u00e3o aqui e fala \u00e9 isso n\u00e9 OK eu", "start": 7707.3, "duration": 8.81}, {"text": "acho que n\u00e3o tem vista para o mar mas", "start": 7713.33, "duration": 6.21}, {"text": "cad\u00ea a chave tem duas janelas na parede", "start": 7716.11, "duration": 5.35}, {"text": "quando voc\u00ea tenta ver na janela ela ela", "start": 7719.54, "duration": 5.01}, {"text": "t\u00e1 bem abafado e toda empoeirada ela tem", "start": 7721.46, "duration": 5.28}, {"text": "algumas rachaduras tamb\u00e9m t\u00e1 voc\u00ea mal", "start": 7724.55, "duration": 3.9}, {"text": "consegue ver \u00e9 uma daquelas janelas que", "start": 7726.74, "duration": 4.02}, {"text": "deslocar para fora sabe que os mosaicos", "start": 7728.45, "duration": 4.68}, {"text": "voc\u00ea n\u00e3o consegue enxergar quase nada de", "start": 7730.76, "duration": 3.96}, {"text": "fora ent\u00e3o eu quero chegar na jogar eu", "start": 7733.13, "duration": 5.66}, {"text": "aprendi agora a Vai pegar n\u00e3o consegue", "start": 7734.72, "duration": 6.87}, {"text": "senti-lo respirar aqui voc\u00ea pode dar um", "start": 7738.79, "duration": 6.82}, {"text": "teste for\u00e7a para mim por favor e", "start": 7741.59, "duration": 4.02}, {"text": "em 17 voc\u00ea faz muita foi se abri uma", "start": 7746.11, "duration": 6.29}, {"text": "frestinha", "start": 7750.85, "duration": 4.53}, {"text": "voc\u00ea consegue eu posso eu quero", "start": 7752.4, "duration": 5.41}, {"text": "conservado isso \u00e9 isso que voc\u00ea", "start": 7755.38, "duration": 5.46}, {"text": "conseguiu eu quero olhar a festinha voc\u00ea", "start": 7757.81, "duration": 5.159}, {"text": "olha voc\u00ea ver um pouco da floresta l\u00e1", "start": 7760.84, "duration": 5.69}, {"text": "fora \u00e9 mais ou menos meio-dia agora", "start": 7762.969, "duration": 7.051}, {"text": "t\u00e1 a gente t\u00e1 isso OK a\u00ed eu coloquei uma", "start": 7766.53, "duration": 5.08}, {"text": "por dentro do quarto \u00e9 muito a\u00ed tamb\u00e9m", "start": 7770.02, "duration": 3.96}, {"text": "t\u00e1 eu colocando uma janela posso jogar", "start": 7771.61, "duration": 5.18}, {"text": "ela com certeza Fecha a janela fecha", "start": 7773.98, "duration": 7.11}, {"text": "vivo eu deixar para voc\u00ea t\u00e1 pronto vamos", "start": 7776.79, "duration": 9.909}, {"text": "l\u00e1 a a nele tudo bem lindo hein ent\u00e3o", "start": 7781.09, "duration": 8.279}, {"text": "at\u00e9 a chave vai ficar aqui para arrumar", "start": 7786.699, "duration": 5.101}, {"text": "a casa para voc\u00ea ir l\u00e1 pegar as coisas", "start": 7789.369, "duration": 5.011}, {"text": "para jantar isso j\u00e1 gente volta a\u00ed eu", "start": 7791.8, "duration": 3.99}, {"text": "quero cochichar uma cama de solteiro t\u00e1", "start": 7794.38, "duration": 3.509}, {"text": "s\u00f3 tem uma cama at\u00e9 agora voc\u00ea encontrar", "start": 7795.79, "duration": 6.24}, {"text": "que a do Bol\u00edvia agora t\u00e1 ent\u00e3o eu quero", "start": 7797.889, "duration": 7.98}, {"text": "eu quero sair tu sai \u00e9 s\u00f3 que eles a\u00ed eu", "start": 7802.03, "duration": 6.61}, {"text": "queria e deixar com ela ficou Beleza a", "start": 7805.869, "duration": 3.941}, {"text": "gente tem que fazer algum teste para", "start": 7808.64, "duration": 4.49}, {"text": "falar baixo voc\u00ea tem outra op\u00e7\u00e3o", "start": 7809.81, "duration": 6.9}, {"text": "se fizerem o que eu quero ouvir o samba", "start": 7813.13, "duration": 7.26}, {"text": "fofoqueira ladra desgra\u00e7ada", "start": 7816.71, "duration": 3.68}, {"text": "15 se puder", "start": 7820.72, "duration": 5.32}, {"text": "depois eu fico certeza que tem alguma", "start": 7823.15, "duration": 5.95}, {"text": "coisa aqui eu n\u00e3o me deixar fazer isso", "start": 7826.04, "duration": 5.49}, {"text": "em voc\u00ea eu vou contato comigo. Isso n\u00e3o", "start": 7829.1, "duration": 3.69}, {"text": "sei quanto tempo vai demorar vai demorar", "start": 7831.53, "duration": 3.63}, {"text": "para chegar \u00e0 vontade de voltar prometo", "start": 7832.79, "duration": 3.9}, {"text": "que eu deixo as partes mais legal para", "start": 7835.16, "duration": 5.13}, {"text": "voc\u00ea ver obrigado eu fico animadinho com", "start": 7836.69, "duration": 5.7}, {"text": "ela fala isso voc\u00eas n\u00e3o escutaram os", "start": 7840.29, "duration": 4.08}, {"text": "dois conversando", "start": 7842.39, "duration": 5.49}, {"text": "e vamos vamos ver vamos l\u00e1 a gente l\u00e1", "start": 7844.37, "duration": 8.52}, {"text": "ent\u00e3o a Olivier e Milo ent\u00e3o descem para", "start": 7847.88, "duration": 6.56}, {"text": "sair da mans\u00e3o", "start": 7852.89, "duration": 5.12}, {"text": "o e B\u00e1rbara e a\u00ed eles ficam aqui em cima", "start": 7854.44, "duration": 5.4}, {"text": "o qu\u00ea que voc\u00eas duas fazem eu pego na", "start": 7858.01, "duration": 3.11}, {"text": "m\u00e3o dela eu falo para ela bem assim", "start": 7859.84, "duration": 4.92}, {"text": "vamos achar meu quarto e depois eu vou", "start": 7861.12, "duration": 6.559}, {"text": "te mostrar o Tinder e", "start": 7864.76, "duration": 5.919}, {"text": "E voc\u00ea vai amar voc\u00ea pegou na minha m\u00e3o", "start": 7867.679, "duration": 6.351}, {"text": "peguei na sua m\u00e3o porque ela suja ainda", "start": 7870.679, "duration": 5.69}, {"text": "Giovanna baby", "start": 7874.03, "duration": 5.529}, {"text": "a\u00ed eu vou procurar meu quarto tem outro", "start": 7876.369, "duration": 4.63}, {"text": "quarto tem outra porta e v\u00e1rias outras", "start": 7879.559, "duration": 3.6}, {"text": "portas se eu quero ver seguir descendo", "start": 7880.999, "duration": 4.62}, {"text": "voc\u00ea quer nessa porta aqui da frente eu", "start": 7883.159, "duration": 4.07}, {"text": "quero um ponto alto em cima", "start": 7885.619, "duration": 5.13}, {"text": "voc\u00ea quer subir em cima dela acabar de", "start": 7887.229, "duration": 5.31}, {"text": "sair aquela porta n\u00e3o abriu", "start": 7890.749, "duration": 4.74}, {"text": "e do lado da porta que n\u00e3o abre outra", "start": 7892.539, "duration": 6.18}, {"text": "porta de entrada voc\u00eas podem descer mais", "start": 7895.489, "duration": 7.11}, {"text": "bolinha At\u00e9 l\u00e1 voc\u00ea pega l\u00e1 pela", "start": 7898.719, "duration": 6.99}, {"text": "m\u00e3ozinha voc\u00ea sabe at\u00e9 o final no canto", "start": 7902.599, "duration": 5.61}, {"text": "eu vou pedir para voc\u00eas duas latas de", "start": 7905.709, "duration": 4.171}, {"text": "percep\u00e7\u00e3o por favor", "start": 7908.209, "duration": 5.961}, {"text": "com s\u00f3 cuida", "start": 7909.88, "duration": 4.29}, {"text": "2019 Ok as duas As duas realmente Voc\u00eas", "start": 7914.92, "duration": 7.21}, {"text": "est\u00e3o em dire\u00e7\u00e3o a esse quarto no", "start": 7920.3, "duration": 4.29}, {"text": "cantinho a antes de voc\u00ea se virarem para", "start": 7922.13, "duration": 5.53}, {"text": "porta voc\u00eas veem algo que chama a", "start": 7924.59, "duration": 5.47}, {"text": "aten\u00e7\u00e3o de voc\u00ea depende um pouco aten\u00e7\u00e3o", "start": 7927.66, "duration": 4.86}, {"text": "de voc\u00eas para alguns segundos do outro", "start": 7930.06, "duration": 5.94}, {"text": "lado desse corredor tem um quadro grande", "start": 7932.52, "duration": 9.02}, {"text": "bem no canto um quadro meio estranho", "start": 7936.0, "duration": 8.54}, {"text": "e para a gente vai at\u00e9 ele \u00e9 isso a\u00ed", "start": 7941.54, "duration": 4.55}, {"text": "voc\u00ea viu aquele quadro", "start": 7944.54, "duration": 4.89}, {"text": "wilier estimativo e s\u00e3o sabe explicar", "start": 7946.09, "duration": 6.01}, {"text": "porque eu eu vou indo na dire\u00e7\u00e3o dele", "start": 7949.43, "duration": 6.3}, {"text": "caiu n\u00e9 vamos vamos ver a gente vai", "start": 7952.1, "duration": 7.04}, {"text": "ent\u00e3o voc\u00eas n\u00e3o abre a porta", "start": 7955.73, "duration": 6.57}, {"text": "voc\u00ea seguem em dire\u00e7\u00e3o ao quadro precisa", "start": 7959.14, "duration": 5.92}, {"text": "atravessam por esse longo corredor e", "start": 7962.3, "duration": 6.83}, {"text": "voc\u00eas est\u00e3o de frente com um quadro", "start": 7965.06, "duration": 7.86}, {"text": "estranho para dizer o m\u00ednimo eu vou", "start": 7969.13, "duration": 5.7}, {"text": "botar ele na tela aqui", "start": 7972.92, "duration": 4.13}, {"text": "o das um", "start": 7974.83, "duration": 5.88}, {"text": "\u00e9 um quadro do que parece ser uma pessoa", "start": 7977.05, "duration": 8.11}, {"text": "com algum tipo de v\u00e9u um len\u00e7ol no rosto", "start": 7980.71, "duration": 6.88}, {"text": "e ele tem uma apar\u00eancia uma tinta meio", "start": 7985.16, "duration": 4.98}, {"text": "derretida voc\u00eas duas t\u00eam extremamente", "start": 7987.59, "duration": 5.529}, {"text": "voc\u00ea viu arrepio com o usu\u00e1rio PS4", "start": 7990.14, "duration": 5.68}, {"text": "Se voc\u00ea fosse diferente de alguma forma", "start": 7993.119, "duration": 4.29}, {"text": "ele tem uns aquele paciente muito", "start": 7995.82, "duration": 4.23}, {"text": "parecido com aquele quadro do pintura s\u00f3", "start": 7997.409, "duration": 6.141}, {"text": "que \u00e9 mais forte", "start": 8000.05, "duration": 6.26}, {"text": "\u00e9 bem estranho esses quadros dessa casa", "start": 8003.55, "duration": 6.45}, {"text": "n\u00e9 \u00e9 meio assustador n\u00e9 \u00e9 que o cara", "start": 8006.31, "duration": 6.18}, {"text": "sumiu aqui dentro coron\u00e9is touguinha de", "start": 8010.0, "duration": 5.31}, {"text": "fantasma parece que que seu pai te", "start": 8012.49, "duration": 4.8}, {"text": "contou sobre as pintor decide vir para", "start": 8015.31, "duration": 4.29}, {"text": "c\u00e1 para ele se eu falou que \u00e9 um homem", "start": 8017.29, "duration": 5.16}, {"text": "muito famoso no mundo enterrou um pintor", "start": 8019.6, "duration": 5.6}, {"text": "como que eu famoso e que ele veio para", "start": 8022.45, "duration": 5.76}, {"text": "avaliar os quadros mas eu n\u00e3o sei nada", "start": 8025.2, "duration": 5.35}, {"text": "dele nada eu sei que ele \u00e9 aquele carro", "start": 8028.21, "duration": 4.53}, {"text": "aqui t\u00e1 l\u00e1 embaixo daquele quadro grande", "start": 8030.55, "duration": 4.04}, {"text": "l\u00e1 do meio", "start": 8032.74, "duration": 4.82}, {"text": "a cada pessoa dessa a\u00ed conta uma vers\u00e3o", "start": 8034.59, "duration": 5.22}, {"text": "na estranha dessa mans\u00e3o vai ningu\u00e9m", "start": 8037.56, "duration": 5.04}, {"text": "fala nada bom dela deve ser por causa", "start": 8039.81, "duration": 4.98}, {"text": "dessas coisas aqui essas pinturas meio", "start": 8042.6, "duration": 5.9}, {"text": "do diabo voc\u00eas neg\u00f3cio e Meio pega", "start": 8044.79, "duration": 6.08}, {"text": "calma", "start": 8048.5, "duration": 5.98}, {"text": "Como assim do diabo \u00e9 esse neg\u00f3cio aqui", "start": 8050.87, "duration": 4.71}, {"text": "\u00f3 t\u00f4", "start": 8054.48, "duration": 4.67}, {"text": "saindo n\u00e3o \u00e9 coisa isso \u00e9", "start": 8055.58, "duration": 6.96}, {"text": "sei l\u00e1 que isso eu conhece um cad\u00e1ver", "start": 8059.15, "duration": 6.67}, {"text": "sabe quando voc\u00ea j\u00e1 viu o funeral j\u00e1 vi", "start": 8062.54, "duration": 5.13}, {"text": "um funeral Como funciona o funeral", "start": 8065.82, "duration": 5.03}, {"text": "eu s\u00f3 abaixa a cabe\u00e7a assim", "start": 8067.67, "duration": 5.409}, {"text": "t\u00e1 tudo bem", "start": 8070.85, "duration": 7.209}, {"text": "Oi gente \u00e9 t\u00e1 uma Me conta o que que \u00e9", "start": 8073.079, "duration": 8.04}, {"text": "que est\u00e1 o resto de diabo mas n\u00e3o sei", "start": 8078.059, "duration": 5.13}, {"text": "ningu\u00e9m gosta desse lugar aqui se lugar", "start": 8081.119, "duration": 4.5}, {"text": "nem nem meio esquisito e tem essas", "start": 8083.189, "duration": 3.87}, {"text": "pinturas est\u00e3o esse neg\u00f3cio a\u00ed da", "start": 8085.619, "duration": 3.6}, {"text": "calafrio neg\u00f3cio aqui n\u00e3o voc\u00ea falou que", "start": 8087.059, "duration": 5.16}, {"text": "a tua m\u00e3e ela n\u00e3o gostou de ficar aqui", "start": 8089.219, "duration": 6.701}, {"text": "eu t\u00f4 virando a Paola vai l\u00e1", "start": 8092.219, "duration": 8.02}, {"text": "a minha m\u00e3e \u00f3 vamos l\u00e1 vou contar a", "start": 8095.92, "duration": 5.73}, {"text": "vers\u00e3o resumida que eu acabei de te", "start": 8100.239, "duration": 3.991}, {"text": "conhecer tamb\u00e9m n\u00e9 Eu moro com a minha", "start": 8101.65, "duration": 4.85}, {"text": "m\u00e3e lhe embarga o mas a gente amiga", "start": 8104.23, "duration": 5.55}, {"text": "t\u00e1 bom ent\u00e3o eu moro aqui em baixo com a", "start": 8106.5, "duration": 7.39}, {"text": "minha m\u00e3e fui muitos anos j\u00e1 n\u00e3o quando", "start": 8109.78, "duration": 5.82}, {"text": "era crian\u00e7a sempre queria saber o que", "start": 8113.89, "duration": 3.69}, {"text": "que tinha na mans\u00e3o nessas coisas em", "start": 8115.6, "duration": 4.2}, {"text": "crian\u00e7a gosta de explorar assim as", "start": 8117.58, "duration": 5.7}, {"text": "coisas mas ela nunca deixou n\u00f3s entrar", "start": 8119.8, "duration": 6.419}, {"text": "na mans\u00e3o sempre escondeu chave disse", "start": 8123.28, "duration": 4.59}, {"text": "que n\u00e3o era para ningu\u00e9m entrar com esse", "start": 8126.219, "duration": 5.341}, {"text": "lugar n\u00e3o era bom Voc\u00ea levantou aqui a\u00ed", "start": 8127.87, "duration": 5.07}, {"text": "voc\u00ea vai ter que perguntar para dona", "start": 8131.56, "duration": 3.33}, {"text": "L\u00edvia que eu n\u00e3o me arrisco dizer isso", "start": 8132.94, "duration": 3.48}, {"text": "eu ver ela depois eu vou querer", "start": 8134.89, "duration": 4.67}, {"text": "conversar com a sua m\u00e3e ent\u00e3o", "start": 8136.42, "duration": 4.7}, {"text": "coragem", "start": 8139.56, "duration": 6.15}, {"text": "Olha eu t\u00f4 com um pouco eu t\u00f4 com medo", "start": 8141.12, "duration": 7.48}, {"text": "vamos l\u00e1 conhecer o outro m\u00f3vel quatro", "start": 8145.71, "duration": 5.5}, {"text": "voc\u00ea falou com meu pai olha aqui na hora", "start": 8148.6, "duration": 5.61}, {"text": "essas pinturas n\u00e3o \u00e9 eu vou ficar de", "start": 8151.21, "duration": 5.52}, {"text": "frente o meu corpo todo eu", "start": 8154.21, "duration": 5.71}, {"text": "sou eu n\u00e3o pegaria para quartinho mas", "start": 8156.73, "duration": 4.96}, {"text": "n\u00e3o se acordar todo dia abrir porta", "start": 8159.92, "duration": 3.36}, {"text": "olhar para o seu neg\u00f3cio mas um corredor", "start": 8161.69, "duration": 3.81}, {"text": "vai ser melhor do que abre essa porta do", "start": 8163.28, "duration": 3.84}, {"text": "lado eu queria achar um quarto do lado", "start": 8165.5, "duration": 3.929}, {"text": "do refil vou ficar aqui 400km de", "start": 8167.12, "duration": 3.869}, {"text": "dist\u00e2ncia do que chupa o cu do capeta", "start": 8169.429, "duration": 5.611}, {"text": "aqui pelo amor de Deus pagar bem vamos", "start": 8170.989, "duration": 7.131}, {"text": "comigo vamos l\u00e1 amiguinha", "start": 8175.04, "duration": 3.08}, {"text": "duas m\u00e3os dadas at\u00e9 a porta que estavam", "start": 8179.05, "duration": 7.149}, {"text": "n\u00e9 a voc\u00eas abrem a porta e se deparam", "start": 8182.03, "duration": 5.879}, {"text": "com um quarto tamb\u00e9m um quarto muito", "start": 8186.199, "duration": 4.951}, {"text": "parecido com o outro tem uma mesa mas ao", "start": 8187.909, "duration": 6.69}, {"text": "canto algumas uma estante tamb\u00e9m uma", "start": 8191.15, "duration": 4.76}, {"text": "mesinha", "start": 8194.599, "duration": 3.301}, {"text": "seu neg\u00f3cio de estar uma cena de", "start": 8195.91, "duration": 4.899}, {"text": "investiga\u00e7\u00e3o e voc\u00eas podem parecer um", "start": 8197.9, "duration": 5.13}, {"text": "pouco mais de aten\u00e7\u00e3o nos detalhes a", "start": 8200.809, "duration": 4.471}, {"text": "apesar do quarto t\u00e1 bem empoeirado Voc\u00eas", "start": 8203.03, "duration": 4.649}, {"text": "vem alguns pap\u00e9is jogados em cima de uma", "start": 8205.28, "duration": 5.25}, {"text": "das Mesas a tem uma tem duas mesas uma", "start": 8207.679, "duration": 5.34}, {"text": "com gavetas e outras sem e uma estante", "start": 8210.53, "duration": 4.04}, {"text": "com livros", "start": 8213.019, "duration": 5.351}, {"text": "importa se algu\u00e9m o botar da Queria", "start": 8214.57, "duration": 5.78}, {"text": "muito conhecer esse lugar que ver o que", "start": 8218.37, "duration": 3.599}, {"text": "que voc\u00ea tem coisa do pintor por aqui", "start": 8220.35, "duration": 3.39}, {"text": "mas voc\u00ea tamb\u00e9m quer mostrar para a", "start": 8221.969, "duration": 3.75}, {"text": "gente pode fazer isso juntas Ent\u00e3o t\u00e1", "start": 8223.74, "duration": 5.67}, {"text": "bom aquele quadro de aquele quadro o se", "start": 8225.719, "duration": 6.771}, {"text": "embananou me deixou meio curiosa mesmo", "start": 8229.41, "duration": 6.39}, {"text": "sabe eu E mesmo quando crian\u00e7a n\u00f3s", "start": 8232.49, "duration": 5.85}, {"text": "gostava de explorar as coisas assim e", "start": 8235.8, "duration": 5.4}, {"text": "isso aqui me d\u00e1 um me d\u00e1 um uma", "start": 8238.34, "duration": 4.6}, {"text": "felicidade de fazer algo novo de novo", "start": 8241.2, "duration": 4.26}, {"text": "ela t\u00e1 segurando voc\u00ea t\u00e1 segurando as", "start": 8242.94, "duration": 5.73}, {"text": "minhas malas t\u00f4 t\u00e1 ent\u00e3o falou s\u00f3 tem", "start": 8245.46, "duration": 5.94}, {"text": "isso logo a\u00ed voc\u00ea t\u00e1 Eu coloco eu coloco", "start": 8248.67, "duration": 5.88}, {"text": "muita gente cuidado no cantinho tipo", "start": 8251.4, "duration": 6.41}, {"text": "voc\u00ea que eu ia fazer delegado", "start": 8254.55, "duration": 5.31}, {"text": "que que voc\u00ea quer olhar primeiro tem", "start": 8257.81, "duration": 5.5}, {"text": "bastante coisa vamos l\u00e1 era a\u00ed \u00e9 olha eu", "start": 8259.86, "duration": 4.83}, {"text": "vou conseguir respirar hoje vou", "start": 8263.31, "duration": 3.3}, {"text": "conseguir respirar o caderno L\u00f3gico que", "start": 8264.69, "duration": 3.63}, {"text": "eu vou abrir uma janela sempre como \u00e9", "start": 8266.61, "duration": 4.41}, {"text": "fresco amor de Deus claro que d\u00e1 para", "start": 8268.32, "duration": 6.74}, {"text": "respirar aqui dentro de seu irm\u00e3o", "start": 8271.02, "duration": 6.1}, {"text": "E a\u00ed", "start": 8275.06, "duration": 2.06}, {"text": "e vamos isso foi foi seu Spyro Wii", "start": 8278.46, "duration": 7.95}, {"text": "eu consigo na aquilo ali uma estante de", "start": 8283.309, "duration": 6.87}, {"text": "livros assim que v\u00e1rios livros ali", "start": 8286.41, "duration": 3.769}, {"text": "eu quero ent\u00e3o eu n\u00e3o vou procurar", "start": 8290.269, "duration": 3.841}, {"text": "bastante", "start": 8293.099, "duration": 3.96}, {"text": "divers\u00e3o n\u00e9 pode ser um pouco recep\u00e7\u00e3o", "start": 8294.11, "duration": 5.409}, {"text": "preciso ter dito voc\u00ea pode pode", "start": 8297.059, "duration": 4.01}, {"text": "investiga\u00e7\u00e3o", "start": 8299.519, "duration": 2.17}, {"text": "\u00e9", "start": 8301.069, "duration": 2.99}, {"text": "putz", "start": 8301.689, "duration": 4.95}, {"text": "1818 a voc\u00ea", "start": 8304.059, "duration": 5.47}, {"text": "encontra a no meio de v\u00e1rias paradas", "start": 8306.639, "duration": 5.38}, {"text": "antigas voc\u00ea encontra o que parece ser", "start": 8309.529, "duration": 6.011}, {"text": "um recorte de um jornal antigo", "start": 8312.019, "duration": 6.7}, {"text": "e eu vou colocar os documentos sempre no", "start": 8315.54, "duration": 6.33}, {"text": "meio produ\u00e7\u00e3o da a culpa \u00e9 isso \u00e9 o", "start": 8318.719, "duration": 4.861}, {"text": "recorte de jornal antigo uma capa de um", "start": 8321.87, "duration": 7.309}, {"text": "jornal antigo chamado Gazeta de Limeira", "start": 8323.58, "duration": 5.599}, {"text": "um toque t\u00e1 aqui aqui em cima carreira e", "start": 8329.65, "duration": 7.239}, {"text": "este Jornal Aqui \u00f3", "start": 8332.86, "duration": 5.01}, {"text": "e", "start": 8336.889, "duration": 4.441}, {"text": "voc\u00ea n\u00e3o precisa leira inteiro t\u00e1 Voc\u00ea", "start": 8337.87, "duration": 5.14}, {"text": "pode ler a vontade a\u00ed n\u00e3o sei ler em voz", "start": 8341.33, "duration": 3.199}, {"text": "alta", "start": 8343.01, "duration": 4.349}, {"text": "e com 18 voc\u00ea percebe que ele \u00e9 um", "start": 8344.529, "duration": 5.681}, {"text": "jornal que fala sobre as Exposi\u00e7\u00f5es", "start": 8347.359, "duration": 6.75}, {"text": "feitas pelo Constantino Moretti h\u00e1 mais", "start": 8350.21, "duration": 6.949}, {"text": "de 50 anos atr\u00e1s", "start": 8354.109, "duration": 5.82}, {"text": "que chama sua aten\u00e7\u00e3o \u00e9 a men\u00e7\u00e3o de que", "start": 8357.159, "duration": 5.921}, {"text": "as obras dele eram tempor\u00e1rias e ele", "start": 8359.929, "duration": 5.93}, {"text": "tinha e ele tinha filas muito extensas", "start": 8363.08, "duration": 5.22}, {"text": "ele n\u00e3o est\u00e1vamos Deus e pessoas fazendo", "start": 8365.859, "duration": 5.67}, {"text": "tipo filas em cal\u00e7adas basicamente", "start": 8368.3, "duration": 5.849}, {"text": "Ok voc\u00ea v\u00ea enquanto voc\u00ea encontra voc\u00ea", "start": 8371.529, "duration": 5.801}, {"text": "v\u00ea a barba lendo o que que voc\u00ea faz a", "start": 8374.149, "duration": 5.76}, {"text": "minha eu vou querer abrir as gavetas da", "start": 8377.33, "duration": 4.109}, {"text": "escrivaninha que tem uma poltrona essa", "start": 8379.909, "duration": 3.931}, {"text": "aqui quando voc\u00ea essa aqui de casa", "start": 8381.439, "duration": 4.47}, {"text": "poltrona que isso d\u00e1 um teste de voc\u00ea", "start": 8383.84, "duration": 3.269}, {"text": "precisa de um teste para achar isso na", "start": 8385.909, "duration": 4.351}, {"text": "verdade voc\u00ea encontra um bilhetinho", "start": 8387.109, "duration": 4.701}, {"text": "amassado", "start": 8390.26, "duration": 4.689}, {"text": "e como guardanapo quase que escondido", "start": 8391.81, "duration": 8.49}, {"text": "ent\u00e3o t\u00e1 dif\u00edcil n\u00e3o foi", "start": 8394.949, "duration": 8.351}, {"text": "e os", "start": 8400.3, "duration": 3.0}, {"text": "E a\u00ed", "start": 8404.17, "duration": 5.07}, {"text": "o resultado aro do jornal", "start": 8405.8, "duration": 3.44}, {"text": "voc\u00ea pode ele se voc\u00eas quiserem ler em", "start": 8409.75, "duration": 3.939}, {"text": "voz alta a sua especialmente Am\u00e9rica um", "start": 8411.83, "duration": 3.529}, {"text": "pouquinho mais curta pode ler", "start": 8413.689, "duration": 4.67}, {"text": "querido \u00f3 podemos nos", "start": 8415.359, "duration": 5.071}, {"text": "proteger", "start": 8418.359, "duration": 4.421}, {"text": "achei esse bilhetinho amassado falando", "start": 8420.43, "duration": 6.1}, {"text": "isso aqui podemos nos ver nos Jardins", "start": 8422.78, "duration": 6.81}, {"text": "hoje a noite \u00e9 lua cheia o c\u00e9u est\u00e1", "start": 8426.53, "duration": 5.329}, {"text": "cheio de", "start": 8429.59, "duration": 6.12}, {"text": "portugu\u00eas \u00e9 uma merda de estrelas um", "start": 8431.859, "duration": 6.701}, {"text": "clima t\u00e3o rom\u00e2ntico n\u00f3s poder\u00edamos at\u00e9", "start": 8435.71, "duration": 7.26}, {"text": "mesmo pegar um vinho da Adega o senhor", "start": 8438.56, "duration": 7.5}, {"text": "Constantino \u00e9 muito gentil ele mesmo j\u00e1", "start": 8442.97, "duration": 5.52}, {"text": "me disse que eu poderia pegar o que", "start": 8446.06, "duration": 6.45}, {"text": "quiser no Jair Pinheiro Jardim voc\u00ea n\u00e3o", "start": 8448.49, "duration": 5.64}, {"text": "gosta do Jardim s\u00f3 que foi voc\u00ea que", "start": 8452.51, "duration": 3.84}, {"text": "escreveu isso aqui n\u00e3o n\u00e3o n\u00e3o foi", "start": 8454.13, "duration": 5.13}, {"text": "tra\u00eddo e n\u00e3o se posso ver isso a\u00ed Isso", "start": 8456.35, "duration": 5.91}, {"text": "aqui \u00e9 velho voc\u00ea \u00e9 velha n\u00e3o sou velha", "start": 8459.26, "duration": 6.179}, {"text": "mas minha m\u00e3e \u00e9 Quantos anos voc\u00ea tem", "start": 8462.26, "duration": 4.949}, {"text": "E quantos anos voc\u00ea acha que eu tenho", "start": 8465.439, "duration": 3.691}, {"text": "n\u00e3o sei l\u00e1 voc\u00ea tem cara de 20 vezes", "start": 8467.209, "duration": 3.9}, {"text": "Quem me garante que voc\u00ea n\u00e3o pode ter 80", "start": 8469.13, "duration": 4.069}, {"text": "todo mundo aqui Scania", "start": 8471.109, "duration": 5.01}, {"text": "tocha n\u00e3o t\u00f4 falando que tu tem raiva de", "start": 8473.199, "duration": 5.801}, {"text": "mim seria tamb\u00e9m n\u00e3o tenho 22", "start": 8476.119, "duration": 5.791}, {"text": "Oi t\u00e1 tudo bem eu sou mais velha que", "start": 8479.0, "duration": 4.61}, {"text": "todo mundo aqui", "start": 8481.91, "duration": 4.86}, {"text": "mesmo Oi eu n\u00e3o reconhe\u00e7o a letra n\u00e9 a", "start": 8483.61, "duration": 6.04}, {"text": "d\u00e1 um teste de investiga\u00e7\u00e3o de novo", "start": 8486.77, "duration": 5.57}, {"text": "cr\u00e9dito \u00e9", "start": 8489.65, "duration": 2.69}, {"text": "19 n\u00e3o esse papel parece muito velho", "start": 8494.131, "duration": 4.63}, {"text": "parece bem velho mesmo t\u00e1 t\u00e1 bem", "start": 8497.081, "duration": 3.59}, {"text": "amassada jogada n\u00e3o parece ser recente", "start": 8498.761, "duration": 6.26}, {"text": "tem pelo menos uns 30 anos", "start": 8500.671, "duration": 4.35}, {"text": "no Jardim n\u00e3o mas eu com certeza n\u00e3o", "start": 8507.061, "duration": 4.54}, {"text": "tava viva para ver isso eu vou pegar o", "start": 8510.101, "duration": 3.75}, {"text": "bilhetinho na m\u00e3o dela eu falo Quantos", "start": 8511.601, "duration": 3.799}, {"text": "anos tem sua m\u00e3e", "start": 8513.851, "duration": 3.08}, {"text": "voc\u00ea", "start": 8515.4, "duration": 4.121}, {"text": "n\u00e3o sabe exatamente mas ele j\u00e1 tem mais", "start": 8516.931, "duration": 6.299}, {"text": "de 40 eu n\u00e3o sei", "start": 8519.521, "duration": 3.709}, {"text": "depois dos 40", "start": 8525.57, "duration": 6.82}, {"text": "e Olha t\u00e1 vendo \u00f3 pega esse neg\u00f3cio de", "start": 8528.55, "duration": 7.29}, {"text": "idade n\u00e3o mas a tua m\u00e3e ela odeia aqui", "start": 8532.39, "duration": 6.799}, {"text": "ela n\u00e3o gosta muito ruim ela t\u00e1", "start": 8535.84, "duration": 6.769}, {"text": "ela gosta de j\u00e1 vir", "start": 8539.189, "duration": 7.29}, {"text": "eu gosto de Jardim bem mais aquela", "start": 8542.609, "duration": 6.821}, {"text": "assim se o Jardim l\u00e1 embaixo que tiver", "start": 8546.479, "duration": 4.931}, {"text": "feio n\u00e3o fala que t\u00e1 feio entendeu s\u00f3", "start": 8549.43, "duration": 4.59}, {"text": "que cuida n\u00e3o o Jorginho t\u00e1 feio eu sou", "start": 8551.41, "duration": 4.8}, {"text": "nada n\u00e3o t\u00f4 desconfiando da tua m\u00e3e n\u00e3o", "start": 8554.02, "duration": 4.53}, {"text": "eu sou acho que respondeu da minha m\u00e3e", "start": 8556.21, "duration": 3.95}, {"text": "porque minha m\u00e3e tem Face", "start": 8558.55, "duration": 5.94}, {"text": "e se sua m\u00e3e n\u00e3o honrava ou algu\u00e9m aqui", "start": 8560.16, "duration": 7.569}, {"text": "que t\u00e1 falando ai n\u00e3o tem um ponto de", "start": 8564.49, "duration": 5.09}, {"text": "interesse dentro desse quarto que \u00e9 a", "start": 8567.729, "duration": 4.971}, {"text": "mesa com algumas gavetas no cantinho", "start": 8569.58, "duration": 6.01}, {"text": "eu no meio dessa discuss\u00e3o por", "start": 8572.7, "duration": 5.14}, {"text": "caminhando para essa vida n\u00e9 foi feito e", "start": 8575.59, "duration": 4.65}, {"text": "eu guardo bilhetinho Ok d\u00e1 um teste de", "start": 8577.84, "duration": 4.761}, {"text": "percep\u00e7\u00e3o para mim por favor a percep\u00e7\u00e3o", "start": 8580.24, "duration": 5.651}, {"text": "pode tamb\u00e9m s\u00f3 n\u00e3o", "start": 8582.601, "duration": 7.799}, {"text": "Beta 8 a voc\u00ea voc\u00ea olha por isso que", "start": 8585.891, "duration": 6.819}, {"text": "voc\u00ea abra as gavetas tem alguns Alguns", "start": 8590.4, "duration": 4.621}, {"text": "len\u00e7os antigos \u00e9 len\u00e7\u00f3is e coisas para", "start": 8592.71, "duration": 5.301}, {"text": "cama voc\u00ea n\u00e3o tem nada demais", "start": 8595.021, "duration": 6.269}, {"text": "olha s\u00f3 tem esse jornal aqui que fala do", "start": 8598.011, "duration": 5.739}, {"text": "pintor inclusive tal deve ser o pai se", "start": 8601.29, "duration": 4.44}, {"text": "interessa que isso aqui mas o Jord\u00e3o", "start": 8603.75, "duration": 4.44}, {"text": "velho s\u00f3 falando sobre o pintor talvez", "start": 8605.73, "duration": 4.56}, {"text": "seu pai j\u00e1 tem at\u00e9 l\u00edderes isso aqui n\u00e3o", "start": 8608.19, "duration": 4.831}, {"text": "sei quando vai ser o pai \u00e9 mas n\u00e3o", "start": 8610.29, "duration": 4.891}, {"text": "mostrar nada sobre algo parecido com", "start": 8613.021, "duration": 4.019}, {"text": "aquela pintura l\u00e1 feia que a gente viu", "start": 8615.181, "duration": 4.529}, {"text": "l\u00e1 fora ent\u00e3o fala das pinturas fala que", "start": 8617.04, "duration": 4.801}, {"text": "o pintor fazer uma sobra Temporada os", "start": 8619.71, "duration": 4.53}, {"text": "neg\u00f3cios do louco e fala aqui que ele", "start": 8621.841, "duration": 4.68}, {"text": "nem tava mais fazendo pintura paga ele", "start": 8624.24, "duration": 4.71}, {"text": "fazia pintura que vinha de pedido", "start": 8626.521, "duration": 4.589}, {"text": "Genu\u00edno e sentimento verdadeiro maluco", "start": 8628.95, "duration": 4.68}, {"text": "tem uma vers\u00e3o dessa aqui n\u00e3o aceita que", "start": 8631.11, "duration": 4.441}, {"text": "pague pelas pinturas dele Ser\u00e1 que ele", "start": 8633.63, "duration": 3.721}, {"text": "pintava que ele vendia porque aqui l\u00ea", "start": 8635.551, "duration": 4.679}, {"text": "aqui olha se ele dizer olha tava", "start": 8637.351, "duration": 5.409}, {"text": "assistindo meu mau Oi eu nunca ir para o", "start": 8640.23, "duration": 6.0}, {"text": "Rio ou que \u00e9 isso tem que ir uma fala", "start": 8642.76, "duration": 6.54}, {"text": "voc\u00ea n\u00e3o sabe n\u00e3o sei depois te dou um", "start": 8646.23, "duration": 5.831}, {"text": "remedinho que mam\u00e3e toma que voc\u00ea vai", "start": 8649.3, "duration": 3.71}, {"text": "dormir", "start": 8652.061, "duration": 5.399}, {"text": "que \u00e9 um anjo olha Prefiro n\u00e3o mas enfim", "start": 8653.01, "duration": 6.52}, {"text": "voc\u00ea quer levar isso aqui para o seu pai", "start": 8657.46, "duration": 4.17}, {"text": "para voc\u00ea levar voc\u00ea vai olhar aquela", "start": 8659.53, "duration": 4.5}, {"text": "gaveta l\u00e1 para o carro l\u00e1 no caso eu", "start": 8661.63, "duration": 5.28}, {"text": "tenho uma olhada n\u00e9 voc\u00ea voc\u00ea pode fazer", "start": 8664.03, "duration": 4.73}, {"text": "mais um teste porque aqui outra gr\u00e1vida", "start": 8666.91, "duration": 6.74}, {"text": "vou dar uma olhadinha percep\u00e7\u00e3o de novo", "start": 8668.76, "duration": 4.89}, {"text": "e", "start": 8674.21, "duration": 4.65}, {"text": "os dois dados de 15 nada voc\u00ea n\u00e3o v\u00ea", "start": 8675.4, "duration": 5.59}, {"text": "nada demais acho que n\u00e3o tem que parece", "start": 8678.86, "duration": 3.3}, {"text": "que nada mais de interessante nesse", "start": 8680.99, "duration": 4.36}, {"text": "quarto 1", "start": 8682.16, "duration": 5.19}, {"text": "e", "start": 8685.35, "duration": 2.0}, {"text": "voc\u00eas podem sair por isso que a gente", "start": 8688.76, "duration": 4.96}, {"text": "fazer vamos ent\u00e3o porque voc\u00ea quer fazer", "start": 8690.75, "duration": 6.3}, {"text": "isso assim n\u00e3o eu n\u00e3o moro aqui mas voc\u00ea", "start": 8693.72, "duration": 5.07}, {"text": "quer fazer isso nos outros quarto para", "start": 8697.05, "duration": 3.899}, {"text": "ver se a gente encontra coisa dentro ah", "start": 8698.79, "duration": 3.899}, {"text": "eu gosto n\u00e3o tem nada para fazer mesmo", "start": 8700.949, "duration": 3.801}, {"text": "tem internet sabe que a internet", "start": 8702.689, "duration": 4.561}, {"text": "t\u00e1 ruim a internet como que eu vou te", "start": 8704.75, "duration": 4.54}, {"text": "mostrar o Tinder eu vou te mostrar um", "start": 8707.25, "duration": 5.64}, {"text": "mude Depois eu que recebi maravilhoso", "start": 8709.29, "duration": 6.899}, {"text": "produtos para os meninos saindo da", "start": 8712.89, "duration": 4.46}, {"text": "mans\u00e3o", "start": 8716.189, "duration": 3.141}, {"text": "voc\u00eas", "start": 8717.35, "duration": 5.049}, {"text": "se encontram os dois chegando no port\u00e3o", "start": 8719.33, "duration": 7.029}, {"text": "l\u00e1 na frente a", "start": 8722.399, "duration": 3.96}, {"text": "e o que que voc\u00eas fazem", "start": 8727.101, "duration": 3.2}, {"text": "bom lhe ver N\u00e3o se preocupa muito com", "start": 8730.69, "duration": 6.43}, {"text": "essa ele n\u00e3o voc\u00ea eu sei que voc\u00ea prova", "start": 8734.301, "duration": 5.819}, {"text": "gente achou que ia ser diferente mas eu", "start": 8737.12, "duration": 4.86}, {"text": "posso te mostrar ele a\u00ed para mostrar que", "start": 8740.12, "duration": 5.011}, {"text": "\u00e9 bom t\u00e1 aqui \u00e9 bom viver que cuidar", "start": 8741.98, "duration": 5.88}, {"text": "para voc\u00ea tamb\u00e9m eu vou n\u00e3o a isso \u00e9 uma", "start": 8745.131, "duration": 5.37}, {"text": "coisa \u00e9 normal aqui voc\u00ea n\u00e3o precisa se", "start": 8747.86, "duration": 3.87}, {"text": "deparar com isso n\u00e3o vai se deparar com", "start": 8750.501, "duration": 3.569}, {"text": "isso todo dia \u00e9 bem o primeiro dia", "start": 8751.73, "duration": 4.741}, {"text": "estava tudo bem tudo bem eu voc\u00ea quiser", "start": 8754.07, "duration": 5.101}, {"text": "eu posso te mostrar tudo que de bom que", "start": 8756.471, "duration": 4.04}, {"text": "a vida pode oferecer", "start": 8759.171, "duration": 5.43}, {"text": "no mercadinho e n\u00e3o sei sua m\u00e3e fica um", "start": 8760.511, "duration": 6.099}, {"text": "pouco t\u00edmida com a sua m\u00e3e efetividade", "start": 8764.601, "duration": 4.889}, {"text": "como n\u00e3o sei ela parecer brigado comigo", "start": 8766.61, "duration": 4.38}, {"text": "eu n\u00e3o seguindo conversando pelo celular", "start": 8769.49, "duration": 3.931}, {"text": "certa voc\u00eas ent\u00e3o a floresta ent\u00e3o voc\u00eas", "start": 8770.99, "duration": 3.811}, {"text": "v\u00e3o caminhada quanto isso \u00e9 que eu tinha", "start": 8773.421, "duration": 3.899}, {"text": "uso aqui como Existem duas op\u00e7\u00f5es que", "start": 8774.801, "duration": 5.189}, {"text": "voc\u00ea conhece amilo voc\u00eas podem seguir", "start": 8777.32, "duration": 5.191}, {"text": "pelo caminho seguro e ainda existe de", "start": 8779.99, "duration": 4.651}, {"text": "aparecer animais voz \u00e9 baixa ou E a\u00ed", "start": 8782.511, "duration": 4.569}, {"text": "voc\u00eas passam uma hora caminhando ou e", "start": 8784.641, "duration": 5.739}, {"text": "voc\u00eas podem reto pela por atalhos e", "start": 8787.08, "duration": 5.81}, {"text": "chego em 30 minutos pelo meio do mato", "start": 8790.38, "duration": 4.55}, {"text": "ent\u00e3o", "start": 8792.89, "duration": 5.95}, {"text": "se voc\u00ea quiser come\u00e7ar a experi\u00eancia da", "start": 8794.93, "duration": 5.53}, {"text": "Ilha eu posso lhe dar duas op\u00e7\u00f5es voc\u00ea", "start": 8798.84, "duration": 4.05}, {"text": "quer ir com emo\u00e7\u00e3o ou sem emo\u00e7\u00e3o a", "start": 8800.46, "duration": 5.28}, {"text": "emo\u00e7\u00e3o tem risco de vida ou n\u00e3o massa o", "start": 8802.89, "duration": 6.71}, {"text": "outro javali Mas n\u00f3s somos vai encontrar", "start": 8805.74, "duration": 6.72}, {"text": "voc\u00ea que sabe eu ele vai pode passar uma", "start": 8809.6, "duration": 5.86}, {"text": "hora na floresta e ficar conversando at\u00e9", "start": 8812.46, "duration": 4.77}, {"text": "tem que confiar assunto mais quente n\u00e3o", "start": 8815.46, "duration": 3.9}, {"text": "se conhece dias ou a gente pode seguir", "start": 8817.23, "duration": 5.19}, {"text": "as trilhas que eu conhe\u00e7o ele pode ter", "start": 8819.36, "duration": 4.47}, {"text": "certeza fosse outro dia n\u00e3o vai crescer", "start": 8822.42, "duration": 3.36}, {"text": "eu confio em voc\u00ea ent\u00e3o pode ser eu vou", "start": 8823.83, "duration": 5.79}, {"text": "com voc\u00ea ent\u00e3o compartilha ele vai para", "start": 8825.78, "duration": 7.531}, {"text": "trilha voc\u00ea seguem por atalhos n\u00e9 Isso \u00e9", "start": 8829.62, "duration": 5.57}, {"text": "OK a", "start": 8833.311, "duration": 5.369}, {"text": "ser que dia q tah tah q tah ae acabou de", "start": 8835.19, "duration": 7.05}, {"text": "passar no meio dia perto turma da tarde", "start": 8838.68, "duration": 3.56}, {"text": "a e voc\u00eas come\u00e7am a caminhar passando", "start": 8842.8, "duration": 5.639}, {"text": "reto pelo Mato pelo matagal eles passam", "start": 8845.83, "duration": 5.04}, {"text": "por meio de \u00e1rvores \u00c0s vezes a terra", "start": 8848.439, "duration": 5.011}, {"text": "tamb\u00e9m fechado voc\u00ea vai abrindo a com a", "start": 8850.87, "duration": 4.44}, {"text": "m\u00e3o d\u00e1 um teste sobreviv\u00eancia amigo para", "start": 8853.45, "duration": 6.57}, {"text": "mim por favor Provid\u00eancia com agilidade", "start": 8855.31, "duration": 4.71}, {"text": "e a 16 Ok a me descreve Milo como voc\u00eas", "start": 8861.16, "duration": 9.12}, {"text": "chegam em seguran\u00e7a na no vilarejo ok a", "start": 8866.38, "duration": 6.6}, {"text": "gente entrou pela trilha \u00e9 um caminho", "start": 8870.28, "duration": 6.81}, {"text": "que eu normalmente fa\u00e7o e fiquei muito", "start": 8872.98, "duration": 6.03}, {"text": "empolgada de finalmente depois de tanto", "start": 8877.09, "duration": 3.42}, {"text": "tempo tem alguma companhia comigo nessa", "start": 8879.01, "duration": 4.02}, {"text": "trilha a gente vai conversando trocando", "start": 8880.51, "duration": 5.97}, {"text": "o ideia se conhecer um pouco mais e eu", "start": 8883.03, "duration": 5.94}, {"text": "vou deixar voc\u00eas dois minutinhos eu", "start": 8886.48, "duration": 4.95}, {"text": "tenho dois minutos de conversa que voc\u00eas", "start": 8888.97, "duration": 4.32}, {"text": "t\u00eam que matar Porque \u00e9 um momento onde", "start": 8891.43, "duration": 3.65}, {"text": "voc\u00eas est\u00e3o", "start": 8893.29, "duration": 4.59}, {"text": "constrange gentilmente sozinhos um com o", "start": 8895.08, "duration": 5.561}, {"text": "outro ok eu vou botar l\u00e1 tr\u00eas minutos", "start": 8897.88, "duration": 4.56}, {"text": "detalhe precis\u00e3o brigar e est\u00e3o a\u00ed voc\u00ea", "start": 8900.641, "duration": 2.969}, {"text": "pode ficar quieto se quiser em tr\u00eas", "start": 8902.44, "duration": 4.89}, {"text": "minutos ok ent\u00e3o essa \u00e9 a trilha aqui E", "start": 8903.61, "duration": 6.75}, {"text": "esse atalho eu posso ser sincero tem", "start": 8907.33, "duration": 4.62}, {"text": "muito tempo que eu n\u00e3o fa\u00e7o que n\u00e3o fa\u00e7o", "start": 8910.36, "duration": 3.23}, {"text": "ele por Desculpa somente para voc\u00ea antes", "start": 8911.95, "duration": 5.071}, {"text": "mas eu fazia muito ele com uma pessoa", "start": 8913.59, "duration": 8.24}, {"text": "antigamente e eu sou quando vem e essa", "start": 8917.021, "duration": 6.029}, {"text": "pessoa ela", "start": 8921.83, "duration": 4.23}, {"text": "n\u00e3o t\u00e1 mais aqui mas isso n\u00e3o importa", "start": 8923.05, "duration": 6.13}, {"text": "agora \u00e9 importante \u00e9 que eu t\u00f4 feliz que", "start": 8926.06, "duration": 6.66}, {"text": "voc\u00ea t\u00e1 comigo a gente se conhece a", "start": 8929.18, "duration": 5.67}, {"text": "pouco tempo mas eu espero que a gente", "start": 8932.72, "duration": 4.23}, {"text": "possa ser poucos amigos porque tem um", "start": 8934.85, "duration": 4.589}, {"text": "tempo J\u00e1 que eu n\u00e3o tenho muitos amigos", "start": 8936.95, "duration": 5.7}, {"text": "e eu era muito amiga da B\u00e1rbara mas a", "start": 8939.439, "duration": 7.591}, {"text": "gente n\u00e3o se v\u00ea sempre mais e sei l\u00e1 eu", "start": 8942.65, "duration": 8.4}, {"text": "\u00e0s vezes eu me sinto enfim \u00e9 bom esse \u00e9", "start": 8947.03, "duration": 7.409}, {"text": "um temp\u00e3o Voc\u00ea toma um sal\u00e1rio a senhora", "start": 8951.05, "duration": 6.48}, {"text": "para o lado de um cara fort\u00e3o segurando", "start": 8954.439, "duration": 3.981}, {"text": "um machado", "start": 8957.53, "duration": 3.37}, {"text": "cortando L\u00e9ia", "start": 8958.42, "duration": 3.461}, {"text": "ah ah", "start": 8960.9, "duration": 4.371}, {"text": "\u00e9 que isso meu voc\u00ea vai esse cara", "start": 8961.881, "duration": 6.699}, {"text": "conhe\u00e7o essa ganhador da Thaila vou ter", "start": 8965.271, "duration": 5.709}, {"text": "que preocupar Wagner \u00e9 o Wagner Wagner", "start": 8968.58, "duration": 5.75}, {"text": "Freitas viu", "start": 8970.98, "duration": 3.35}, {"text": "ent\u00e3o achada", "start": 8974.841, "duration": 5.04}, {"text": "na ilha", "start": 8976.881, "duration": 4.89}, {"text": "Opa", "start": 8979.881, "duration": 4.359}, {"text": "por acaso a gente pode vir com seguran\u00e7a", "start": 8981.771, "duration": 6.089}, {"text": "que a gente n\u00e3o vai comprar nada", "start": 8984.24, "duration": 3.62}, {"text": "bem avantajado aqui \u00e9 bem alto pra", "start": 8990.17, "duration": 9.019}, {"text": "[\u00a0__\u00a0] \u00e9 bastante hoje gastar de vivo", "start": 8994.351, "duration": 6.838}, {"text": "e", "start": 8999.189, "duration": 2.0}, {"text": "quando voc\u00ea conhece todo mundo da ilha", "start": 9001.22, "duration": 4.84}, {"text": "quase todo mundo Eu Nasci Aqui eu nunca", "start": 9004.319, "duration": 3.811}, {"text": "sa\u00ed daqui Luzia fica saiu daqui t\u00e1", "start": 9006.06, "duration": 4.589}, {"text": "saindo aqui inclusive \u00e9 como que \u00e9 o", "start": 9008.13, "duration": 6.149}, {"text": "n\u00famero l\u00e1 fora eu sim desde que eu v\u00e1 se", "start": 9010.649, "duration": 7.14}, {"text": "eu e sempre Como assim eu queria poder", "start": 9014.279, "duration": 5.851}, {"text": "explorar o mundo e sair dessa Ilha por", "start": 9017.789, "duration": 3.841}, {"text": "mais que ela seja legal e tudo mais eu", "start": 9020.13, "duration": 4.769}, {"text": "sei que tem tanta coisa que a gente pode", "start": 9021.63, "duration": 5.45}, {"text": "conhecer e explorar", "start": 9024.899, "duration": 3.921}, {"text": "E a\u00ed eu passei naquele que era que", "start": 9027.08, "duration": 4.11}, {"text": "come\u00e7ar de algum como que eu come\u00e7o a", "start": 9028.82, "duration": 4.56}, {"text": "explicar como \u00e9 que eu mudo uma fora que", "start": 9031.19, "duration": 3.96}, {"text": "voc\u00ea tem menos coisas que mais coisa", "start": 9033.38, "duration": 3.71}, {"text": "aqui sabe que \u00e9 Bluetooth", "start": 9035.15, "duration": 6.18}, {"text": "n\u00e3o n\u00e3o n\u00e3o sabe que n\u00e3o Quantas pessoas", "start": 9037.09, "duration": 7.81}, {"text": "tem que sair daqui a cerca de umas 30", "start": 9041.33, "duration": 6.691}, {"text": "pessoas mais quantas pessoas tem a vinte", "start": 9044.9, "duration": 5.58}, {"text": "e poucos assim aqui tem um pouquinho", "start": 9048.021, "duration": 4.229}, {"text": "gente voc\u00ea vai se der para tomar umas 20", "start": 9050.48, "duration": 6.02}, {"text": "pessoas mas a gente pesos \u00e9 \u00e9", "start": 9052.25, "duration": 6.87}, {"text": "muito diferente l\u00e1 fora 20 pessoas e na", "start": 9056.5, "duration": 5.38}, {"text": "portaria do meu pr\u00e9dio Demorou sol Oi t\u00e1", "start": 9059.12, "duration": 4.319}, {"text": "tudo bem a\u00ed bem tudo bem O tio", "start": 9061.88, "duration": 4.44}, {"text": "mercadinho aqui a gente depois da trilha", "start": 9063.439, "duration": 4.981}, {"text": "a gente vai chegar do Vilarejo longe", "start": 9066.32, "duration": 3.51}, {"text": "ainda n\u00e3o n\u00e3o t\u00e1 chegando t\u00f4 chegando", "start": 9068.42, "duration": 3.87}, {"text": "nos preocupa \u00e9 eu vou andando bem", "start": 9069.83, "duration": 5.22}, {"text": "animadinhos porque eu t\u00f4 feliz\u00e3o ele t\u00e1", "start": 9072.29, "duration": 6.6}, {"text": "com algu\u00e9m e a gente t\u00e1 no seu duas", "start": 9075.05, "duration": 5.67}, {"text": "ainda n\u00e9 ent\u00e3o tentamos ele falou que", "start": 9078.89, "duration": 6.049}, {"text": "comprou esse canal eu vou parar Ok j\u00e1 \u00e9", "start": 9080.72, "duration": 4.219}, {"text": "mas voc\u00ea n\u00e3o tem que se preocupar essa", "start": 9085.36, "duration": 5.82}, {"text": "Ilha tirando o Pedrinho ele", "start": 9088.82, "duration": 5.28}, {"text": "perfil se ele vir aqui encher o saco n\u00e3o", "start": 9091.18, "duration": 4.54}, {"text": "d\u00e1 bola para ele ele e o irm\u00e3o dele s\u00e3o", "start": 9094.1, "duration": 4.56}, {"text": "p\u00e9 no saco \u00e9 um dos pessoas que eles", "start": 9095.72, "duration": 5.42}, {"text": "velho maluco que inventa a cola no farol", "start": 9098.66, "duration": 6.3}, {"text": "e bem quero eu vou ver voc\u00ea falou com", "start": 9101.14, "duration": 6.67}, {"text": "velho maluco do Pato tem contato com", "start": 9104.96, "duration": 4.5}, {"text": "compra do Farol assim que eu cheguei", "start": 9107.81, "duration": 4.08}, {"text": "aqui na ilha eu desci para medir Eu", "start": 9109.46, "duration": 5.49}, {"text": "soube como ele do farol e entregar um", "start": 9111.89, "duration": 4.47}, {"text": "neg\u00f3cio tava uma bosta aquela tinha vou", "start": 9114.95, "duration": 5.16}, {"text": "a\u00ed o velho betacor um neg\u00f3cio Paulo para", "start": 9116.36, "duration": 6.249}, {"text": "mim que eu sou bem Chico Ol\u00e1 eu sou a", "start": 9120.11, "duration": 6.4}, {"text": "yamily ideia te amo viu Nunca nem vi", "start": 9122.609, "duration": 6.391}, {"text": "direito a cara daquele homem ele \u00e9 esse", "start": 9126.51, "duration": 5.639}, {"text": "falaram com ele ele ele ele fala ele s\u00f3", "start": 9129.0, "duration": 4.35}, {"text": "falou que conheceu todo mundo ent\u00e3o", "start": 9132.149, "duration": 2.821}, {"text": "sabendo que aqui tem que as pessoas que", "start": 9133.35, "duration": 3.559}, {"text": "s\u00e3o um pouco mais elevadas na Ilha n\u00e9", "start": 9134.97, "duration": 5.759}, {"text": "mas esse homem ele especialmente eu", "start": 9136.909, "duration": 6.731}, {"text": "nunca troquei uma palavra com ele ele \u00e9", "start": 9140.729, "duration": 5.161}, {"text": "um cansa\u00e7o que ele forte atacou bem meta", "start": 9143.64, "duration": 3.78}, {"text": "corpo em cima de mim que voc\u00ea me", "start": 9145.89, "duration": 3.33}, {"text": "balan\u00e7ava o que talvez ele \u00e9 por isso", "start": 9147.42, "duration": 3.93}, {"text": "que o Alan falou para n\u00e3o falar com ele", "start": 9149.22, "duration": 6.45}, {"text": "\u00e9 bom mas enfim que voc\u00ea se chegaram na", "start": 9151.35, "duration": 5.509}, {"text": "no vilarejo", "start": 9155.67, "duration": 5.34}, {"text": "e aqui t\u00e1 Vilarejo voc\u00ea vai para o dente", "start": 9156.859, "duration": 5.771}, {"text": "visto bastante pra c\u00e1 Pelo menos eu", "start": 9161.01, "duration": 2.79}, {"text": "espero que n\u00e3o fique trancado naquela", "start": 9162.63, "duration": 3.59}, {"text": "Nossa voc\u00ea v\u00ea um pequeno Vilarejo", "start": 9163.8, "duration": 5.37}, {"text": "olivieri \u00e9 \u00e9 um amontoado de algumas", "start": 9166.22, "duration": 5.83}, {"text": "casas voc\u00ea viu umas pessoas transitando", "start": 9169.17, "duration": 6.54}, {"text": "de l\u00e1 para c\u00e1 a e logo \u00e0 frente de voc\u00eas", "start": 9172.05, "duration": 6.7}, {"text": "tem a entrada para o mercadinho", "start": 9175.71, "duration": 5.42}, {"text": "e da Ilha", "start": 9178.75, "duration": 5.26}, {"text": "E voc\u00ea mora em quantas casas aqui eu", "start": 9181.13, "duration": 5.94}, {"text": "moro voc\u00ea n\u00e3o te falei eu sou eu acho", "start": 9184.01, "duration": 5.1}, {"text": "que meu pai pescando peixe podendo", "start": 9187.07, "duration": 4.61}, {"text": "ajudando alimenta a ilha e", "start": 9189.11, "duration": 6.06}, {"text": "eu moro um pouco mais mais para l\u00e1 \u00e9 tem", "start": 9191.68, "duration": 5.08}, {"text": "que passar por uma outra o trabalho que", "start": 9195.17, "duration": 2.91}, {"text": "a gente vai chegar perto da praia e vai", "start": 9196.76, "duration": 3.21}, {"text": "ser minha casa um dia eu tiver l\u00e1 depois", "start": 9198.08, "duration": 4.2}, {"text": "eu te levo l\u00e1 quando Deus mas n\u00e3o \u00e9 que", "start": 9199.97, "duration": 3.2}, {"text": "a gente ali", "start": 9202.28, "duration": 2.82}, {"text": "Barnab\u00e9 Com certeza que acontece da", "start": 9203.17, "duration": 4.42}, {"text": "gente voc\u00ea fala isso que voc\u00eas ent\u00e3o no", "start": 9205.1, "duration": 4.799}, {"text": "mercadinho e t\u00e1 o Barnab\u00e9 ele t\u00e1 com uma", "start": 9207.59, "duration": 4.71}, {"text": "listinha na m\u00e3o assim escrevendo algumas", "start": 9209.899, "duration": 3.901}, {"text": "anota\u00e7\u00f5es ele nem percebeu que voc\u00eas", "start": 9212.3, "duration": 3.78}, {"text": "chegaram eu quero chegar perto do balc\u00e3o", "start": 9213.8, "duration": 4.82}, {"text": "e fazer um", "start": 9216.08, "duration": 2.54}, {"text": "prazer tem muito bem vindo a\u00ed a obrigado", "start": 9221.86, "duration": 6.28}, {"text": "viu que legal ser seu amigo eu falei de", "start": 9225.05, "duration": 5.58}, {"text": "at\u00e9 uma gatinha para voc\u00ea Hahaha t\u00f4 de", "start": 9228.14, "duration": 5.91}, {"text": "brincar uma brincadeira ent\u00e3o vou fazer", "start": 9230.63, "duration": 4.62}, {"text": "vou te pedir uma coisa diferente hoje", "start": 9234.05, "duration": 4.47}, {"text": "Barnab\u00e9 eu o que quiser eu vou te pedir", "start": 9235.25, "duration": 4.409}, {"text": "os peixes hoje", "start": 9238.52, "duration": 5.04}, {"text": "\u00e9 o que eu tamb\u00e9m n\u00e3o sei eu fui convite", "start": 9239.659, "duration": 6.18}, {"text": "para ele chegava t\u00e1 com celular banho de", "start": 9243.56, "duration": 5.059}, {"text": "convidou para jantar na mans\u00e3o", "start": 9245.839, "duration": 7.19}, {"text": "e eu eu entrei na mans\u00e3o j\u00e1 tava", "start": 9248.619, "duration": 5.181}, {"text": "almo\u00e7ando", "start": 9253.029, "duration": 3.471}, {"text": "Hoje amanheceu do pintor eu vou morar", "start": 9253.8, "duration": 4.82}, {"text": "que doideira", "start": 9256.5, "duration": 4.859}, {"text": "eu vou comprar para jantar na mans\u00e3o e", "start": 9258.62, "duration": 4.75}, {"text": "eu vim pegar peixe volta daquela pediu", "start": 9261.359, "duration": 5.191}, {"text": "voc\u00ea tem a lista A\u00ed a \u00e9 claro que ent\u00e3o", "start": 9263.37, "duration": 6.33}, {"text": "faz ela pediu Nem precisa perguntar n\u00e9", "start": 9266.55, "duration": 5.04}, {"text": "voc\u00ea \u00e9 uma pessoa que mais sabia disso", "start": 9269.7, "duration": 5.9}, {"text": "ela pediu eu n\u00e3o sei que sal o peixe", "start": 9271.59, "duration": 11.43}, {"text": "leite \u00e9 a eu n\u00e3o lembro Ok calma ele eu", "start": 9275.6, "duration": 9.31}, {"text": "n\u00e3o sou muito bom na cozinha ou Milo", "start": 9283.02, "duration": 4.47}, {"text": "voc\u00ea pegou a pessoa errada para isso bom", "start": 9284.91, "duration": 3.529}, {"text": "\u00e9", "start": 9287.49, "duration": 4.71}, {"text": "sal re\u00fane tamb\u00e9m aplicativo eu pensava", "start": 9288.439, "duration": 5.92}, {"text": "era pequeno question\u00e1rio \u00e9 sempre compra", "start": 9292.2, "duration": 4.86}, {"text": "eu j\u00e1 sei E a\u00ed ele come\u00e7a a pegar um", "start": 9294.359, "duration": 5.54}, {"text": "monte de coisa ele botar sal ele bota", "start": 9297.06, "duration": 5.91}, {"text": "ele pega alguns legumes que te d\u00e3o um", "start": 9299.899, "duration": 5.891}, {"text": "saquinho escrito B\u00e1rbara ele pega azeite", "start": 9302.97, "duration": 5.58}, {"text": "e pega um pouco de alho e voc\u00ea vai neg\u00e3o", "start": 9305.79, "duration": 5.64}, {"text": "o que est\u00e1 fazendo aqui eu t\u00e1 gostando", "start": 9308.55, "duration": 5.261}, {"text": "da \u00cdndia seja muito bem-vindo o p e", "start": 9311.43, "duration": 4.6}, {"text": "agora com esse algu\u00e9m novo ningu\u00e9m novo", "start": 9313.811, "duration": 4.099}, {"text": "chega nesse lugar \u00e9 eu acabei de chegar", "start": 9316.03, "duration": 5.071}, {"text": "t\u00e1 ok pelo menos at\u00e9 agora vai levar", "start": 9317.91, "duration": 6.16}, {"text": "voc\u00ea mercadinho onde eu sabia da hora da", "start": 9321.101, "duration": 4.17}, {"text": "coisa que voc\u00ea precisar voc\u00ea pode contar", "start": 9324.07, "duration": 2.491}, {"text": "com Barnab\u00e9 que eu tenho certeza que ele", "start": 9325.271, "duration": 2.15}, {"text": "vai te ajudar", "start": 9326.561, "duration": 3.54}, {"text": "aqui era isso que estava buscando ele", "start": 9327.421, "duration": 4.96}, {"text": "pega tem que ter um pacotinho com uma", "start": 9330.101, "duration": 4.83}, {"text": "especiaria meio avermelhada essa aqui o", "start": 9332.381, "duration": 4.26}, {"text": "ar direto trouxe recentemente ele falou", "start": 9334.931, "duration": 4.349}, {"text": "que isso aqui \u00e9 bom filme de a\u00e7\u00e3o no seu", "start": 9336.641, "duration": 5.219}, {"text": "neg\u00f3cio assim a a sua m\u00e3e tinha falado", "start": 9339.28, "duration": 4.29}, {"text": "isso t\u00e1 isso eu fui ver o que ele vai", "start": 9341.86, "duration": 4.681}, {"text": "poder nosso aqui ok \u00c9 \u00e9 o saco dizendo", "start": 9343.57, "duration": 4.201}, {"text": "que eu trazendo as coisas de fora da ir", "start": 9346.541, "duration": 4.619}, {"text": "\u00e0s vezes a Ok como voc\u00ea trouxe Como bar", "start": 9347.771, "duration": 5.719}, {"text": "trouxe muito peixe outro dia", "start": 9351.16, "duration": 5.0}, {"text": "deixa o sol fazer umas anota\u00e7\u00f5es assim", "start": 9353.49, "duration": 6.04}, {"text": "voc\u00ea ouve grito um grit\u00e3o de tr\u00e1s de", "start": 9356.16, "duration": 5.651}, {"text": "voc\u00eas e quando voc\u00ea era para tr\u00e1s voc\u00ea", "start": 9359.53, "duration": 7.261}, {"text": "v\u00ea a Amora chegando correndo indo a um", "start": 9361.811, "duration": 7.73}, {"text": "puxar o bra\u00e7o do pai dela assim vai Oi", "start": 9366.791, "duration": 5.479}, {"text": "eles tomaram que pega pai", "start": 9369.541, "duration": 5.059}, {"text": "I will t\u00e1 chorando", "start": 9372.27, "duration": 4.49}, {"text": "o que foi mainha", "start": 9374.6, "duration": 5.429}, {"text": "que tem agora", "start": 9376.76, "duration": 5.889}, {"text": "aqui que ele e a\u00ed quando ela ponta voc\u00ea", "start": 9380.029, "duration": 5.141}, {"text": "v\u00ea o menininho que deve ter no m\u00e1ximo 18", "start": 9382.649, "duration": 5.93}, {"text": "anos de idade ele chega", "start": 9385.17, "duration": 3.409}, {"text": "e eu quero um abra\u00e7o' dele a ele \u00e9 o", "start": 9390.76, "duration": 7.019}, {"text": "yanzinho voc\u00ea abra\u00e7a ele assim ele ele", "start": 9394.93, "duration": 6.17}, {"text": "segura te abra\u00e7a forte assim", "start": 9397.779, "duration": 5.45}, {"text": "Quem pegou pegou", "start": 9401.1, "duration": 6.1}, {"text": "Eu sabia que foi do Pedrinho Pedrinho de", "start": 9403.229, "duration": 7.09}, {"text": "novo esses dois o que \u00e9 uma bisteca \u00e9 um", "start": 9407.2, "duration": 4.52}, {"text": "pertinho deles", "start": 9410.319, "duration": 3.96}, {"text": "at\u00e9 Milo voc\u00ea consegue resolver", "start": 9411.72, "duration": 5.11}, {"text": "problemas vou chamar o Evandro para dar", "start": 9414.279, "duration": 4.351}, {"text": "um jeito nesses dois de novo mas \u00e9 claro", "start": 9416.83, "duration": 6.37}, {"text": "da \u00c9 o Tchan", "start": 9418.63, "duration": 8.551}, {"text": "E a\u00ed \u00f3 voc\u00ea sabe o qu\u00ea para onde levaram", "start": 9423.2, "duration": 7.77}, {"text": "a\u00ed agora \u00e9 que eu vi foram correndo para", "start": 9427.181, "duration": 5.5}, {"text": "dentro do mato ali atr\u00e1s da cabana do", "start": 9430.97, "duration": 4.5}, {"text": "Wagner Voc\u00eas conseguem l\u00e1 \u00e9 claro \u00e9", "start": 9432.681, "duration": 4.949}, {"text": "claro colabora voc\u00ea leva eles Claro", "start": 9435.47, "duration": 5.66}, {"text": "papai t\u00e1 tem certeza que levar ela", "start": 9437.63, "duration": 6.99}, {"text": "logo ali n\u00e3o t\u00e1 bom ent\u00e3o vamos ver uma", "start": 9441.13, "duration": 5.17}, {"text": "hora eu pego a m\u00e3ozinha assim para ela", "start": 9444.62, "duration": 3.441}, {"text": "poder levar a gente", "start": 9446.3, "duration": 4.28}, {"text": "eu vou l\u00e1 falar com o Evandro", "start": 9448.061, "duration": 5.739}, {"text": "voc\u00ea ent\u00e3o o Barnab\u00e9 ele sai da loja vai", "start": 9450.58, "duration": 4.42}, {"text": "em dire\u00e7\u00e3o \u00e0 Delegacia falar com o", "start": 9453.8, "duration": 3.87}, {"text": "Evandro que o delegado da cidade e voc\u00eas", "start": 9455.0, "duration": 4.86}, {"text": "ficam com as duas crian\u00e7as uma t\u00e1", "start": 9457.67, "duration": 4.261}, {"text": "chorando e a outra tipo preocupado", "start": 9459.86, "duration": 3.05}, {"text": "olhando para voc\u00ea", "start": 9461.931, "duration": 3.179}, {"text": "vai ficar tudo bem T\u00e1 tudo bem a gente", "start": 9462.91, "duration": 3.55}, {"text": "vai ter que avisar que estou Pedrinho \u00e9", "start": 9465.11, "duration": 4.05}, {"text": "s\u00f3 o Pedrinho bisteca pra voc\u00eas eu tenho", "start": 9466.46, "duration": 4.74}, {"text": "for\u00e7a tudo bem t\u00e1 tudo bem agora de", "start": 9469.16, "duration": 3.59}, {"text": "chorar voc\u00ea confia em mim", "start": 9471.2, "duration": 2.98}, {"text": "e a", "start": 9472.75, "duration": 4.23}, {"text": "confio confio o bicho da cabelo \u00e9 muito", "start": 9474.18, "duration": 5.59}, {"text": "legal que sabe que \u00e9 incr\u00edvel voc\u00ea vai", "start": 9476.98, "duration": 4.92}, {"text": "ter de volta Ent\u00e3o calma calma respira", "start": 9479.77, "duration": 5.43}, {"text": "vamos nessa a gente vai Ok voc\u00ea segue", "start": 9481.9, "duration": 5.7}, {"text": "ent\u00e3o indo para tr\u00e1s da cabana do Wagner", "start": 9485.2, "duration": 6.09}, {"text": "certo perfeito vou tanto a mans\u00e3o p\u00e9 no", "start": 9487.6, "duration": 5.57}, {"text": "ch\u00e3o", "start": 9491.29, "duration": 5.58}, {"text": "voc\u00eas explorar um pouco mais e para onde", "start": 9493.17, "duration": 6.61}, {"text": "voc\u00ea voc\u00eas foram voc\u00ea voltar para o aqui", "start": 9496.87, "duration": 5.04}, {"text": "tamb\u00e9m posso tentar achar um lugar novo", "start": 9499.78, "duration": 4.59}, {"text": "n\u00e3o d\u00e1 para gente aquele corredor tem", "start": 9501.91, "duration": 3.93}, {"text": "que atravessou l\u00e1 que a gente viu", "start": 9504.37, "duration": 3.15}, {"text": "pintura tem mais quarta naquele corredor", "start": 9505.84, "duration": 6.33}, {"text": "da\u00ed certo o quarto do menino l\u00e1 do nariz", "start": 9507.52, "duration": 8.48}, {"text": "e esse aqui posso transmitir", "start": 9512.17, "duration": 6.24}, {"text": "pra gente a utiliza\u00e7\u00e3o de l\u00edquido de", "start": 9516.0, "duration": 5.35}, {"text": "porta em porta voc\u00eas d\u00e3o a boa explorada", "start": 9518.41, "duration": 5.19}, {"text": "\u00e9 tentando abrir v\u00e1rias portas voc\u00ea", "start": 9521.35, "duration": 3.96}, {"text": "descobre que a maioria das porta est\u00e1", "start": 9523.6, "duration": 4.41}, {"text": "trancada a\u00ed voc\u00ea t\u00e1 com a chave n\u00e9 A", "start": 9525.31, "duration": 5.91}, {"text": "maioria das portas das portas da parte", "start": 9528.01, "duration": 5.83}, {"text": "esquerda do segundo andar eu abri com", "start": 9531.22, "duration": 5.551}, {"text": "essa chave a\u00ed", "start": 9533.84, "duration": 4.971}, {"text": "Oi gente d\u00e1 uma olhada no quarto seu", "start": 9536.771, "duration": 5.129}, {"text": "irm\u00e3o para botar na conta dele da", "start": 9538.811, "duration": 5.879}, {"text": "Angelina enquanto voc\u00ea toma investigando", "start": 9541.9, "duration": 5.521}, {"text": "A maldi\u00e7\u00e3o a Angelina desceu e foi para", "start": 9544.69, "duration": 5.311}, {"text": "o andar de baixo e achou a cozinha que", "start": 9547.421, "duration": 4.519}, {"text": "ficava na parte esquerda da mans\u00e3o", "start": 9550.001, "duration": 5.43}, {"text": "a gente vai para o quarto do olho vier a", "start": 9551.94, "duration": 5.861}, {"text": "gente vai publicar as coisas ok Voc\u00eas", "start": 9555.431, "duration": 4.2}, {"text": "v\u00e3o no quarto que o Eles vieram deixou", "start": 9557.801, "duration": 4.019}, {"text": "as coisas dele eu colocar voc\u00eas l\u00e1 a", "start": 9559.631, "duration": 4.62}, {"text": "gente agora voc\u00eas v\u00eam as coisas do", "start": 9561.82, "duration": 4.25}, {"text": "olivieri a", "start": 9564.251, "duration": 5.31}, {"text": "uma mesinha \u00c9 bem parecido com o quarto", "start": 9566.07, "duration": 6.191}, {"text": "da ele tem bastante as mesmas coisas l\u00e1", "start": 9569.561, "duration": 5.61}, {"text": "tem uma mesinha cama a mochila do livro", "start": 9572.261, "duration": 5.609}, {"text": "era o uma estante e uma escrivaninha", "start": 9575.171, "duration": 5.189}, {"text": "Mais Ao canto o qu\u00ea que voc\u00eas fazem \u00e9 o", "start": 9577.87, "duration": 5.391}, {"text": "olho escrivaninha voc\u00ea", "start": 9580.36, "duration": 2.901}, {"text": "eu ligo pode ser pode ser ter problema", "start": 9583.41, "duration": 6.39}, {"text": "por carro ent\u00e3o vamos ver aqui t\u00e1 eu ver", "start": 9587.101, "duration": 4.409}, {"text": "um teste o que voc\u00eas querem fazer", "start": 9589.8, "duration": 3.45}, {"text": "exatamente de cada um eu quero abrir as", "start": 9591.51, "duration": 3.54}, {"text": "gavetas aqui t\u00e1 se tem alguma coisa", "start": 9593.25, "duration": 3.57}, {"text": "recep\u00e7\u00e3o onde estiga\u00e7\u00e3o para mim por", "start": 9595.05, "duration": 5.6}, {"text": "favor pensa investiga\u00e7\u00e3o", "start": 9596.82, "duration": 3.83}, {"text": "para", "start": 9602.99, "duration": 6.93}, {"text": "e B\u00e1rbara", "start": 9605.93, "duration": 3.99}, {"text": "eu tirei 2020 Ok B\u00e1rbara voc\u00ea encontra", "start": 9611.48, "duration": 8.74}, {"text": "algumas coisas voc\u00ea encontra na real", "start": 9617.94, "duration": 4.47}, {"text": "voc\u00ea abre uma gaveta e ela parece ser", "start": 9620.22, "duration": 5.99}, {"text": "usada para guardar v\u00e1rias cartas juntas", "start": 9622.41, "duration": 6.73}, {"text": "todas elas", "start": 9626.21, "duration": 3.85}, {"text": "e", "start": 9629.14, "duration": 3.66}, {"text": "com essas quatro Aqui deixa eu te pegar", "start": 9630.06, "duration": 5.74}, {"text": "um", "start": 9632.8, "duration": 3.0}, {"text": "e deixa o carro que eu isso aqui", "start": 9635.93, "duration": 6.83}, {"text": "deixa eu ver qual \u00e9 o piso Aqui", "start": 9638.56, "duration": 8.47}, {"text": "voc\u00ea encontra 4 cartas diferentes", "start": 9642.76, "duration": 7.751}, {"text": "Ol\u00e1 a todas elas parecem ser de pessoas", "start": 9647.03, "duration": 4.281}, {"text": "agradecendo", "start": 9650.511, "duration": 3.569}, {"text": "o Constantino e uma mulher chamada", "start": 9651.311, "duration": 7.089}, {"text": "normal mas ele tem uns neg\u00f3cio aqui \u00f3", "start": 9654.08, "duration": 7.26}, {"text": "quer dar uma olhada \u00f3 pega milagre aqui", "start": 9658.4, "duration": 5.86}, {"text": "vamos ver o", "start": 9661.34, "duration": 5.34}, {"text": "Oi \u00f3", "start": 9664.26, "duration": 5.01}, {"text": "A\u00ed fica \u00e0 vontade pode ler Com certeza", "start": 9666.68, "duration": 4.98}, {"text": "fica \u00e0 vontade eu", "start": 9669.27, "duration": 5.339}, {"text": "para ler em voz alta hoje levou eu", "start": 9671.66, "duration": 5.02}, {"text": "peguei essa carta aqui que fala danoral", "start": 9674.609, "duration": 3.771}, {"text": "uma aqui OK", "start": 9676.68, "duration": 6.0}, {"text": "Eu eu sei que j\u00e1 disse outras vezes mas", "start": 9678.38, "duration": 6.519}, {"text": "preciso repetir Obrigado pelas aulas no", "start": 9682.68, "duration": 4.65}, {"text": "ar alma voc\u00ea t\u00e1 me ajudando demais e", "start": 9684.899, "duration": 4.411}, {"text": "estou muito feliz de estar aprendendo a", "start": 9687.33, "duration": 4.05}, {"text": "escrever eu encontrei um lugar quieto", "start": 9689.31, "duration": 5.46}, {"text": "para estudar mais precisar mais sem", "start": 9691.38, "duration": 5.28}, {"text": "atrapalhar muito o seu Constantino", "start": 9694.77, "duration": 5.501}, {"text": "passar bem ter ser", "start": 9696.66, "duration": 7.511}, {"text": "e a Meire qualquer do ser e eu vou ler", "start": 9700.271, "duration": 5.459}, {"text": "adanor alma tamb\u00e9m para completar o que", "start": 9704.171, "duration": 5.059}, {"text": "ela ok mas aqui de baixo", "start": 9705.73, "duration": 6.06}, {"text": "no real mas sempre eu t\u00f4 olhando para", "start": 9709.23, "duration": 5.771}, {"text": "B\u00e1rbara n\u00e3o h\u00e1 uma sempre me espanta as", "start": 9711.79, "duration": 6.45}, {"text": "suas utiliza e eleg\u00e2ncia com a decora\u00e7\u00e3o", "start": 9715.001, "duration": 6.21}, {"text": "de espa\u00e7os internos sempre os utilizam", "start": 9718.24, "duration": 6.12}, {"text": "de forma inteligente voc\u00eas tornam meu", "start": 9721.211, "duration": 6.89}, {"text": "trabalho t\u00e3o mais f\u00e1cil", "start": 9724.36, "duration": 3.741}, {"text": "por favor", "start": 9728.311, "duration": 3.12}, {"text": "quando puder deixei no compartimento de", "start": 9732.721, "duration": 9.309}, {"text": "biblioteca alguns indica\u00e7\u00f5es algumas", "start": 9738.091, "duration": 6.34}, {"text": "indica\u00e7\u00f5es de onde acho que seria ideal", "start": 9742.03, "duration": 6.54}, {"text": "colocava o piano Parra", "start": 9744.431, "duration": 6.659}, {"text": "os poss\u00edveis problemas estruturais", "start": 9748.57, "duration": 6.18}, {"text": "evitar poss\u00edveis problemas uma casa sem", "start": 9751.09, "duration": 5.54}, {"text": "afetar a eleg\u00e2ncia da lareira", "start": 9754.75, "duration": 4.91}, {"text": "Atenciosamente Ra\u00edssa Gama", "start": 9756.63, "duration": 7.24}, {"text": "ideia que tem outra que voc\u00ea quer ler \u00e9", "start": 9759.66, "duration": 6.731}, {"text": "de quem quer sair t\u00e1 eu vou ler vou ler", "start": 9763.87, "duration": 4.561}, {"text": "mas eu t\u00f4 vendo com a minha voz normal", "start": 9766.391, "duration": 4.62}, {"text": "que eu t\u00f4 indo s\u00f3 para mim ent\u00e3o os", "start": 9768.431, "duration": 7.049}, {"text": "menino adora Resgate votaram muito da", "start": 9771.011, "duration": 8.519}, {"text": "tela pintada voc\u00ea \u00e9 um homem com um bom", "start": 9775.48, "duration": 9.18}, {"text": "se tem um homem que voc\u00ea mereci o", "start": 9779.53, "duration": 8.731}, {"text": "segredo da Ilha Esse homem \u00e9 voc\u00ea se eu", "start": 9784.66, "duration": 8.13}, {"text": "Constantino para sempre segredo e muito", "start": 9788.261, "duration": 6.029}, {"text": "sujo", "start": 9792.79, "duration": 3.17}, {"text": "[M\u00fasica]", "start": 9794.29, "duration": 5.67}, {"text": "mitou hein", "start": 9795.96, "duration": 4.0}, {"text": "o mestre eu consigo investiga\u00e7\u00e3o", "start": 9801.029, "duration": 5.901}, {"text": "Obrigada por ter", "start": 9804.079, "duration": 6.49}, {"text": "20 de novo a abortarem voc\u00ea reconhece", "start": 9806.93, "duration": 5.559}, {"text": "que s\u00e3o mesmo nome que falando que o", "start": 9810.569, "duration": 3.81}, {"text": "faroleiro tinha e \u00e9 o nome do arqueiro", "start": 9812.489, "duration": 5.111}, {"text": "tamb\u00e9m o do Adriano \u00e9 o sobrenome dele", "start": 9814.379, "duration": 6.03}, {"text": "ah e tem uma \u00faltima carta fa\u00e7o pode", "start": 9817.6, "duration": 6.059}, {"text": "senhor Constantino eu sei que voc\u00ea diz", "start": 9820.409, "duration": 5.681}, {"text": "que sua arte n\u00e3o tem valor e que n\u00f3s", "start": 9823.659, "duration": 5.25}, {"text": "vencemos o presente mas ainda assim \u00e9", "start": 9826.09, "duration": 5.7}, {"text": "t\u00e3o Generoso de sua parte olhar para", "start": 9828.909, "duration": 5.37}, {"text": "esse quadro que eu me prendi com uma", "start": 9831.79, "duration": 5.34}, {"text": "esperan\u00e7a indescrit\u00edvel espero que seu", "start": 9834.279, "duration": 5.731}, {"text": "presente realmente nos aben\u00e7oe e um dia", "start": 9837.13, "duration": 4.92}, {"text": "n\u00f3s tenhamos o nosso t\u00e3o desejado o", "start": 9840.01, "duration": 6.26}, {"text": "filho Z\u00e9lia Castelo", "start": 9842.05, "duration": 4.22}, {"text": "e o que voc\u00ea disse falei seja Castelo", "start": 9848.729, "duration": 6.952}, {"text": "Z\u00e9lia Castelo", "start": 9853.189, "duration": 4.312}, {"text": "eu posso ver", "start": 9855.681, "duration": 5.258}, {"text": "Gisele castelo \u00e9", "start": 9857.501, "duration": 8.199}, {"text": "eu posso ver hoje volta para elas e", "start": 9860.939, "duration": 6.821}, {"text": "E a\u00ed", "start": 9865.7, "duration": 2.06}, {"text": "quem \u00e9", "start": 9869.23, "duration": 3.36}, {"text": "[M\u00fasica]", "start": 9870.75, "duration": 4.84}, {"text": "o passinho", "start": 9872.59, "duration": 3.0}, {"text": "\u00e9 estranho e \u00e9 s\u00f3 rolagem que tinha sido", "start": 9879.12, "duration": 4.76}, {"text": "mesmo Amei quando estava procurando", "start": 9882.48, "duration": 5.82}, {"text": "tinha sido percep\u00e7\u00e3o e conseguir \u00f3 sim", "start": 9883.88, "duration": 8.17}, {"text": "cinco t\u00e1 voc\u00ea vai achar s\u00f3 uma coisa", "start": 9888.3, "duration": 5.36}, {"text": "ent\u00e3o eu vai ser essa vai ser essa daqui", "start": 9892.05, "duration": 4.02}, {"text": "mas eu vou fazer uma investiga\u00e7\u00e3o em n\u00e3o", "start": 9893.66, "duration": 5.111}, {"text": "acho que eu vou sem vergonha Desgra\u00e7ado", "start": 9896.07, "duration": 3.531}, {"text": "\u00e9 l\u00e1", "start": 9898.771, "duration": 3.359}, {"text": "voc\u00ea encontra o que parece ser um guarda", "start": 9899.601, "duration": 4.929}, {"text": "um papelzinho meio rasgado bem amassado", "start": 9902.13, "duration": 4.23}, {"text": "escondido de maneira similar como o", "start": 9904.53, "duration": 4.44}, {"text": "outro tinha se encontrado mas a letra e", "start": 9906.36, "duration": 5.22}, {"text": "a textura do Papel parece diferen\u00e7a como", "start": 9908.97, "duration": 5.19}, {"text": "se deixado por outra pessoa a \u00e9 isso", "start": 9911.58, "duration": 6.0}, {"text": "daqui posso n\u00e9 pode essa divis\u00e3o de", "start": 9914.16, "duration": 5.99}, {"text": "turvo nos \u00e9 horr\u00edvel minha", "start": 9917.58, "duration": 5.43}, {"text": "leilinha Queria poder passar mais tempo", "start": 9920.15, "duration": 5.83}, {"text": "do seu lado mas eu dou um jeito eu nem", "start": 9923.01, "duration": 5.341}, {"text": "que tenho que fazer umas horas extras", "start": 9925.98, "duration": 5.55}, {"text": "Seu sorriso \u00e9 meu combust\u00edvel quem", "start": 9928.351, "duration": 4.29}, {"text": "leirinha", "start": 9931.53, "duration": 3.031}, {"text": "e reconhe\u00e7o o seu nome voc\u00ea n\u00e3o me", "start": 9932.641, "duration": 5.88}, {"text": "conhece n\u00e3o n\u00e3o sei n\u00e3o vai Ou esse", "start": 9934.561, "duration": 6.719}, {"text": "neg\u00f3cio aqui esse papel estranho que", "start": 9938.521, "duration": 5.639}, {"text": "esse sobrenome aqui \u00e9 o sobrenome do do", "start": 9941.28, "duration": 5.941}, {"text": "faroleiro e do Barqueiro eu sobrenome do", "start": 9944.16, "duration": 4.341}, {"text": "farolete", "start": 9947.221, "duration": 4.34}, {"text": "faroleiro farolete", "start": 9948.501, "duration": 7.06}, {"text": "enfim esse velho ele pulou em cima do", "start": 9951.561, "duration": 7.06}, {"text": "ele vier ou voc\u00ea conhecer o velho farol", "start": 9955.561, "duration": 5.57}, {"text": "se ele tava muito o cabo ele quase me", "start": 9958.621, "duration": 5.31}, {"text": "matou Oliveira nunca sai do Farol O que", "start": 9961.131, "duration": 7.05}, {"text": "que voc\u00ea foi fazer l\u00e1 a gente foi levar", "start": 9963.931, "duration": 4.25}, {"text": "\u00c9 disso que o velho farol \u00e9 meio louco", "start": 9969.1, "duration": 5.16}, {"text": "Aparece mesmo a gente foi levar comida", "start": 9972.27, "duration": 3.849}, {"text": "para ele ele pulou em cima do livro", "start": 9974.26, "duration": 5.01}, {"text": "quase matou hollivier e os olhos dele", "start": 9976.119, "duration": 5.641}, {"text": "parecia que ia sair do outro assim tudo", "start": 9979.27, "duration": 4.53}, {"text": "colheita eu n\u00e3o sei acho que ele tem", "start": 9981.76, "duration": 3.99}, {"text": "alguma doen\u00e7a cegueira n\u00e3o sei mas", "start": 9983.8, "duration": 3.929}, {"text": "duvido que foi velho farol que escreveu", "start": 9985.75, "duration": 4.199}, {"text": "isso aqui t\u00e1 escrito n\u00e3o \u00e9 inscrito de", "start": 9987.729, "duration": 5.041}, {"text": "centro o velho do farol n\u00e3o vem c\u00e1 Voc\u00ea", "start": 9989.949, "duration": 6.78}, {"text": "sabe alguma coisa de segredo", "start": 9992.77, "duration": 3.959}, {"text": "quem \u00e9 que t\u00e1 falando de outra para", "start": 9996.93, "duration": 4.17}, {"text": "outra pode mandar para outra para por", "start": 9998.85, "duration": 3.9}, {"text": "mim Natura menor para deixar as c\u00e2meras", "start": 10001.1, "duration": 6.66}, {"text": "s\u00f3 segredo da Ilha mas sei l\u00e1 ele j\u00e1 tem", "start": 10002.75, "duration": 7.319}, {"text": "v\u00e1rios Segredos sabe mas eu fiz a igreja", "start": 10007.76, "duration": 4.49}, {"text": "eu pedi sobre o segredo da Ilha", "start": 10010.069, "duration": 6.061}, {"text": "Aqui t\u00e1 dizendo que o Constantino merece", "start": 10012.25, "duration": 6.841}, {"text": "o segredo da Ilha", "start": 10016.13, "duration": 6.591}, {"text": "a converg\u00eancia o segredo da Ilha de", "start": 10019.091, "duration": 6.18}, {"text": "alguma coisa aqui ele sabia o segredo da", "start": 10022.721, "duration": 5.49}, {"text": "Ilha o velho louco l\u00e1 ele gritava assim", "start": 10025.271, "duration": 5.16}, {"text": "voc\u00ea ganha eu tenho que ser mantido", "start": 10028.211, "duration": 4.55}, {"text": "escondido voc\u00ea ganha ent\u00e3o secador", "start": 10030.431, "duration": 5.19}, {"text": "emagrecido ele falou que segredo falou", "start": 10032.761, "duration": 4.96}, {"text": "mas ent\u00e3o esse bilhete foi escrito para", "start": 10035.621, "duration": 3.919}, {"text": "eu ver louco", "start": 10037.721, "duration": 4.489}, {"text": "O que n\u00e3o fazer na tua que tem esse ch\u00e1", "start": 10039.54, "duration": 6.42}, {"text": "de investiga\u00e7\u00e3o a esse papel Bem antigo", "start": 10042.21, "duration": 6.83}, {"text": "tamb\u00e9m tem pelo menos uns 50 anos", "start": 10045.96, "duration": 7.561}, {"text": "n\u00e3o n\u00e9 que t\u00e1 quase despeda\u00e7ando papel", "start": 10049.04, "duration": 6.851}, {"text": "\u00e9 mas deve ser dos parentes Sei l\u00e1 eu", "start": 10053.521, "duration": 4.169}, {"text": "mesmo sobrenome de qualquer jeito mas", "start": 10055.891, "duration": 3.689}, {"text": "foi o meu sei o nome do velho eu sou se", "start": 10057.69, "duration": 4.92}, {"text": "ouviu lembro \u00e9 o sobrenome aqui \u00e9 voltou", "start": 10059.58, "duration": 5.221}, {"text": "em meu velho que mora no S\u00e3o nome o", "start": 10062.61, "duration": 4.611}, {"text": "velho que mora no farol Celestino", "start": 10064.801, "duration": 5.729}, {"text": "[\u00a0__\u00a0] que pariu esse aqui com a cabe\u00e7a", "start": 10067.221, "duration": 5.2}, {"text": "dela muito confuso mas quem come\u00e7ou vai", "start": 10070.53, "duration": 3.66}, {"text": "ter que terminar Tem mais um ponto de", "start": 10072.421, "duration": 3.21}, {"text": "interesse para voc\u00eas esse Quarto ainda", "start": 10074.19, "duration": 2.901}, {"text": "que a mesma est\u00e1 na frente de voc\u00eas", "start": 10075.631, "duration": 5.25}, {"text": "mestre eu s\u00f3 fa\u00e7o uma coisa eu pego esse", "start": 10077.091, "duration": 6.97}, {"text": "papel que t\u00e1 falando da Z\u00e9lia Castelo eu", "start": 10080.881, "duration": 6.359}, {"text": "dobro ele e eu boto no meu bolsinho eu", "start": 10084.061, "duration": 4.44}, {"text": "t\u00f4 usando que voc\u00ea t\u00e1 levando todos", "start": 10087.24, "duration": 3.66}, {"text": "igreja que voc\u00ea est\u00e1 em qualquer coisa", "start": 10088.501, "duration": 4.35}, {"text": "tem peso zero n\u00e3o sei que o diferente e", "start": 10090.9, "duration": 3.75}, {"text": "vai ser feliz escondido de mim porque eu", "start": 10092.851, "duration": 3.66}, {"text": "n\u00e3o percebi eu dobrei assim eu botei um", "start": 10094.65, "duration": 3.84}, {"text": "bolsinho a\u00ed agora ent\u00e3o eu vou levar", "start": 10096.511, "duration": 3.269}, {"text": "aquela menina para sua aten\u00e7\u00e3o t\u00e1", "start": 10098.49, "duration": 5.04}, {"text": "perfeito t\u00e1 eu eu s\u00f3 voltei", "start": 10099.78, "duration": 5.18}, {"text": "o ok", "start": 10103.53, "duration": 4.7}, {"text": "onde faltou na frente voc\u00eas a mesma", "start": 10104.96, "duration": 6.19}, {"text": "d\u00favida essa mesa aqui tamb\u00e9m Voc\u00ea n\u00e3o", "start": 10108.23, "duration": 5.14}, {"text": "pode colocar voc\u00ea pode jogar juntas \u00e9", "start": 10111.15, "duration": 5.161}, {"text": "que vai liberar a a investiga\u00e7\u00e3o nessa", "start": 10113.37, "duration": 4.5}, {"text": "Eu acho que eu posso lhe ver aqui eu", "start": 10116.311, "duration": 3.87}, {"text": "acho que ela pode porque ela que eu", "start": 10117.87, "duration": 4.231}, {"text": "tenho mais mas voc\u00ea pode dar um aux\u00edlio", "start": 10120.181, "duration": 5.13}, {"text": "para ela \u00e9 feito pode jogar de 20 juntos", "start": 10122.101, "duration": 5.37}, {"text": "que voc\u00ea tirar 10 \u00e9 mais uma geralmente", "start": 10125.311, "duration": 5.179}, {"text": "n\u00f3s dois fatores t\u00e1 ent\u00e3o voc\u00ea tirou", "start": 10127.471, "duration": 5.119}, {"text": "17 ou 18", "start": 10130.49, "duration": 6.1}, {"text": "receita 17 ok voc\u00ea encontra duas coisas", "start": 10132.59, "duration": 6.7}, {"text": "bem interessantes para voc\u00ea abre voc\u00ea", "start": 10136.59, "duration": 6.24}, {"text": "encontra um retrato dobrado uma foto de", "start": 10139.29, "duration": 5.2}, {"text": "um retrato Dourado", "start": 10142.83, "duration": 4.46}, {"text": "o e uma ficha", "start": 10144.49, "duration": 4.86}, {"text": "E a\u00ed", "start": 10147.29, "duration": 2.06}, {"text": "e", "start": 10150.33, "duration": 2.0}, {"text": "agradecida com a [\u00a0__\u00a0] colocar aqui", "start": 10152.72, "duration": 7.07}, {"text": "essa foto \u00e9", "start": 10155.96, "duration": 9.24}, {"text": "Oi e essa lista e aqui para voc\u00ea", "start": 10159.79, "duration": 8.38}, {"text": "e voc\u00ea vai claramente tipo \u00e9 uma lista", "start": 10165.2, "duration": 6.42}, {"text": "de herdeiro \u00e9 um \u00e9 como se algu\u00e9m que", "start": 10168.17, "duration": 5.851}, {"text": "vai ter dado um dep\u00f3sito e essa \u00e9 uma", "start": 10171.62, "duration": 3.75}, {"text": "lista de todas as coisas que tinham", "start": 10174.021, "duration": 3.569}, {"text": "dentro desse dep\u00f3sito e junto dessa", "start": 10175.37, "duration": 4.38}, {"text": "lista tem uma foto de duas pessoas um", "start": 10177.59, "duration": 4.29}, {"text": "homem sentado em uma mulher ao lado dele", "start": 10179.75, "duration": 5.431}, {"text": "com vestido segurando ombro dele titular", "start": 10181.88, "duration": 6.21}, {"text": "do Herdeiro Constantino Moretti a cara", "start": 10185.181, "duration": 5.279}, {"text": "do da pessoa ao lado \u00e9 o conselheiro", "start": 10188.09, "duration": 5.46}, {"text": "aciono isso talvez voc\u00ea fez cirurgia n\u00e3o", "start": 10190.46, "duration": 5.07}, {"text": "sei se ela n\u00e3o passa n\u00e3o ia chegar s\u00f3", "start": 10193.55, "duration": 3.841}, {"text": "para ver se eu consigo Tipo voc\u00ea \u00e9 muito", "start": 10195.53, "duration": 4.17}, {"text": "similar a pra isso eu vou deixar voc\u00ea", "start": 10197.391, "duration": 5.749}, {"text": "dedo sim t\u00e1 bom ent\u00e3o espera a\u00ed", "start": 10199.7, "duration": 4.51}, {"text": "e", "start": 10203.14, "duration": 4.95}, {"text": "isso \u00e9 uma foto o que tava no raio \u00e9 uma", "start": 10204.21, "duration": 5.689}, {"text": "pintura t\u00e1", "start": 10208.09, "duration": 4.43}, {"text": "eu j\u00e1 acho que esse aqui \u00e9 o pintor", "start": 10209.899, "duration": 4.461}, {"text": "O bicho \u00e9", "start": 10212.52, "duration": 4.781}, {"text": "e olha l\u00e1 conhecer muito o quadro vou", "start": 10214.36, "duration": 4.71}, {"text": "descer l\u00e1 embaixo a\u00ed meu pai disse que \u00e9", "start": 10217.301, "duration": 5.729}, {"text": "terra e se for parente do pintor mas tem", "start": 10219.07, "duration": 6.659}, {"text": "um conhecido pintor", "start": 10223.03, "duration": 6.839}, {"text": "Ol\u00e1 pintor tinha uma pessoa amada a", "start": 10225.729, "duration": 8.22}, {"text": "gente leu isso nas cartas 1", "start": 10229.869, "duration": 4.08}, {"text": "Hum ser\u00e1 que essa mo\u00e7a a\u00ed pode ser Que", "start": 10234.27, "duration": 5.45}, {"text": "Ser\u00e1 Que Ser\u00e1 que a esposa dele", "start": 10237.42, "duration": 4.769}, {"text": "e qualquer forma Isso aqui \u00e9 uma lista", "start": 10239.72, "duration": 5.3}, {"text": "j\u00e1 que esse \u00e9 leilinha", "start": 10242.189, "duration": 8.321}, {"text": "Oi Leidinha isso n\u00e3o sei voc\u00ea acha pode", "start": 10245.02, "duration": 8.54}, {"text": "ser mas o que que aconteceu com ela", "start": 10250.51, "duration": 5.55}, {"text": "eu perdi isso que n\u00e3o sai da ir tamb\u00e9m", "start": 10253.56, "duration": 3.629}, {"text": "n\u00e9", "start": 10256.06, "duration": 3.57}, {"text": "mas se o pintor que a gente substituindo", "start": 10257.189, "duration": 4.771}, {"text": "\u00e9 para o meu pai", "start": 10259.63, "duration": 3.6}, {"text": "E a\u00ed", "start": 10261.96, "duration": 5.29}, {"text": "\u00f3 \u00f3 t\u00e1 isso aqui \u00e9 s\u00f3 uns neg\u00f3cios sei", "start": 10263.23, "duration": 6.411}, {"text": "l\u00e1 documento velho n\u00e3o liguei muito n\u00e3o", "start": 10267.25, "duration": 6.99}, {"text": "eu n\u00e3o achei muita gra\u00e7a voc\u00ea \u00e9", "start": 10269.641, "duration": 5.909}, {"text": "Ol\u00e1", "start": 10274.24, "duration": 3.111}, {"text": "aqui \u00e9 o", "start": 10275.55, "duration": 6.78}, {"text": "que olhar a mochila do seu irm\u00e3o", "start": 10277.351, "duration": 8.259}, {"text": "mas eu fiquei gente vai achar na mochila", "start": 10282.33, "duration": 7.87}, {"text": "vai ai eu n\u00e3o sei \u00e0s vezes eu explorava", "start": 10285.61, "duration": 8.74}, {"text": "casa dormir l\u00e1 encontrar os neg\u00f3cios Itu", "start": 10290.2, "duration": 7.26}, {"text": "e eu quero", "start": 10294.35, "duration": 3.11}, {"text": "Ok a o que que elas encontram olivieri", "start": 10298.33, "duration": 10.319}, {"text": "ficou um roupa e contra um", "start": 10304.42, "duration": 8.5}, {"text": "caderninho contra um l\u00e1pis e uma", "start": 10308.649, "duration": 6.811}, {"text": "lanterna a", "start": 10312.92, "duration": 5.93}, {"text": "Ok voc\u00eas encontrou isso que voc\u00eas fazem", "start": 10315.46, "duration": 5.739}, {"text": "acho que sem gra\u00e7a ele nem vai se", "start": 10318.85, "duration": 3.61}, {"text": "importar se eu pegar essa \u00e9 a entrega", "start": 10321.199, "duration": 2.611}, {"text": "dela acho que meu celular t\u00e1 acabando a", "start": 10322.46, "duration": 2.939}, {"text": "bateria e eu n\u00e3o quero ficar nele por a\u00ed", "start": 10323.81, "duration": 3.78}, {"text": "com lumin\u00e1ria eu passo o lanterna dele", "start": 10325.399, "duration": 4.201}, {"text": "ok Voc\u00ea pega uma igreja pegando at\u00e9 o", "start": 10327.59, "duration": 5.42}, {"text": "Google sim pensei", "start": 10329.6, "duration": 6.78}, {"text": "eu sou muito a gente do carro e a gente", "start": 10333.01, "duration": 5.17}, {"text": "vai procurar o pr\u00f3ximo quarto que tiver", "start": 10336.38, "duration": 3.33}, {"text": "aberto n\u00e3o tiver ningu\u00e9m aqui em cima o", "start": 10338.18, "duration": 4.889}, {"text": "quarto da Angelina o quarto que ela tava", "start": 10339.71, "duration": 6.0}, {"text": "t\u00e1 aberto ele tinha bastante a cozinha", "start": 10343.069, "duration": 4.141}, {"text": "nela deixando ele tinha v\u00e1rios pontos de", "start": 10345.71, "duration": 3.21}, {"text": "interesse agora que voc\u00eas querem entrar", "start": 10347.21, "duration": 5.31}, {"text": "ou n\u00e3o Sim muito entrar no quarto da sua", "start": 10348.92, "duration": 7.21}, {"text": "m\u00e3e e e como fazer o seguinte", "start": 10352.52, "duration": 5.919}, {"text": "e o seu olho os documentos eu cuido a", "start": 10356.13, "duration": 4.769}, {"text": "ponta T\u00e1 bom mas agora tanto tempo", "start": 10358.439, "duration": 4.141}, {"text": "qualquer coisa voc\u00ea se jogou debaixo da", "start": 10360.899, "duration": 4.051}, {"text": "cama Eu escondo reza cortina ela n\u00e3o", "start": 10362.58, "duration": 4.35}, {"text": "levar \u00e9 de bom para senhora para mim", "start": 10364.95, "duration": 3.81}, {"text": "vamos v\u00e3o at\u00e9 o quarto Angelina ent\u00e3o \u00e9", "start": 10366.93, "duration": 3.69}, {"text": "quando voc\u00eas v\u00e3o passando Voc\u00eas", "start": 10368.76, "duration": 4.59}, {"text": "conseguem escutar sons de talheres", "start": 10370.62, "duration": 4.17}, {"text": "batendo e para ela como se tivesse", "start": 10373.35, "duration": 3.21}, {"text": "organizando as coisas para cozinhar", "start": 10374.79, "duration": 4.859}, {"text": "voc\u00eas entram no quarto da Angelina \u00e9 um", "start": 10376.56, "duration": 4.919}, {"text": "quarto que tem um banho quatro bem", "start": 10379.649, "duration": 3.571}, {"text": "grande e tem alguns pontos de interesse", "start": 10381.479, "duration": 3.901}, {"text": "diferentes vem tem um arm\u00e1rio no canto", "start": 10383.22, "duration": 4.65}, {"text": "tem uma tem v\u00e1rias gavetas mais a", "start": 10385.38, "duration": 4.5}, {"text": "direita tem um arm\u00e1rio a direita tem", "start": 10387.87, "duration": 4.47}, {"text": "outro Amaral esquerda e tem uma mesa l\u00e1", "start": 10389.88, "duration": 4.2}, {"text": "no campo tem quatro pontos de diferentes", "start": 10392.34, "duration": 4.53}, {"text": "quatro cinco eu vou come\u00e7ar pelo mais", "start": 10394.08, "duration": 4.56}, {"text": "perto daqui da cama olha embaixo da cama", "start": 10396.87, "duration": 3.96}, {"text": "olhando as escrivaninha d\u00e1 uma d\u00e1 um", "start": 10398.64, "duration": 3.81}, {"text": "percep\u00e7\u00e3o ent\u00e3o no geral para mim por", "start": 10400.83, "duration": 4.14}, {"text": "favor o intelecto Eu j\u00e1 peguei aqui na", "start": 10402.45, "duration": 4.5}, {"text": "porta voc\u00ea t\u00e1 falando na porta e vai", "start": 10404.97, "duration": 5.61}, {"text": "chegar 20 no dado a", "start": 10406.95, "duration": 5.96}, {"text": "Oi Ok ok", "start": 10410.58, "duration": 5.87}, {"text": "Voc\u00ea vai encontrar isso daqui 20 \u00e9 bom", "start": 10412.91, "duration": 6.97}, {"text": "voc\u00ea encontra isso daqui \u00e9 uma lista que", "start": 10416.45, "duration": 6.04}, {"text": "parece t\u00e1 toda a colada com fitas \u00e9 um", "start": 10419.88, "duration": 6.03}, {"text": "papel Bem antigo a que foi rasgado mas", "start": 10422.49, "duration": 7.01}, {"text": "foi costurado de volta com fitas", "start": 10425.91, "duration": 5.151}, {"text": "Ixi", "start": 10429.5, "duration": 4.72}, {"text": "\u00e9 uma lista de funcion\u00e1rios O que que", "start": 10431.061, "duration": 5.919}, {"text": "voc\u00ea achou A\u00ed n\u00e3o as tem um monte de", "start": 10434.22, "duration": 4.67}, {"text": "gente que eu conhe\u00e7o aqui", "start": 10436.98, "duration": 4.44}, {"text": "gente que voc\u00ea conhece conhe\u00e7o o", "start": 10438.89, "duration": 5.171}, {"text": "sobrenome olha os parentes do Milo tudo", "start": 10441.42, "duration": 4.41}, {"text": "aqui que isso j\u00e1 faz muito tempo n\u00e9 se", "start": 10444.061, "duration": 5.039}, {"text": "voc\u00ea parar para pensar j\u00e1 Quem t\u00e1 aqui \u00e9", "start": 10445.83, "duration": 5.561}, {"text": "descendente dessas pessoas", "start": 10449.1, "duration": 4.901}, {"text": "\u00c9 eu sei mas n\u00e3o tem ningu\u00e9m com o", "start": 10451.391, "duration": 5.88}, {"text": "sobrenome da minha m\u00e3e sabe disto mas", "start": 10454.001, "duration": 5.76}, {"text": "Deus parente domingo aqui eles", "start": 10457.271, "duration": 6.929}, {"text": "funcion\u00e1rio para gente do Milo \u00e9 qual \u00e9", "start": 10459.761, "duration": 6.86}, {"text": "o nome dele", "start": 10464.2, "duration": 2.421}, {"text": "\u00e9", "start": 10467.07, "duration": 3.0}, {"text": "Milo Castelo", "start": 10470.521, "duration": 4.0}, {"text": "e n\u00e3o mostra aquela nota que ela para", "start": 10475.28, "duration": 5.85}, {"text": "ele o mesmo que ele tava a velha \u00e9 m\u00e3e", "start": 10477.771, "duration": 5.939}, {"text": "dele eu n\u00e3o sei eu vou levar para o", "start": 10481.13, "duration": 4.471}, {"text": "Bart\u00f4 d\u00e1 uma olhada n\u00e3o vou mostrar isso", "start": 10483.71, "duration": 4.23}, {"text": "para o milho n\u00e3o ficar aqui barril a m\u00e3e", "start": 10485.601, "duration": 4.58}, {"text": "dele", "start": 10487.94, "duration": 2.241}, {"text": "tava j\u00e1 entendi [\u00a0__\u00a0] que pariu Carvalho", "start": 10490.78, "duration": 6.15}, {"text": "a", "start": 10495.11, "duration": 4.249}, {"text": "o maior tem tem uns parentes das pessoas", "start": 10496.93, "duration": 4.559}, {"text": "mas vamos fazer isso r\u00e1pido vamos pegar", "start": 10499.359, "duration": 5.101}, {"text": "os documentos ou n\u00e3o achou o nome do do", "start": 10501.489, "duration": 8.481}, {"text": "velho do com leite do farolete isso", "start": 10504.46, "duration": 8.519}, {"text": "\u00e9 o seu Celestino n\u00e3o mas espera a\u00ed que", "start": 10509.97, "duration": 6.9}, {"text": "eu vou procurar o teu nome dele \u00e9 o", "start": 10512.979, "duration": 8.631}, {"text": "motor hein e tem voltou aqui n\u00e3o", "start": 10516.87, "duration": 6.66}, {"text": "e pode voltar a lista de novo produ\u00e7\u00e3o", "start": 10521.61, "duration": 4.741}, {"text": "conectar bem Voltou a\u00ed n\u00e3o mas tem tem", "start": 10523.53, "duration": 5.821}, {"text": "umas pessoas aqui perto tamb\u00e9m a C\u00e9lia a", "start": 10526.351, "duration": 5.49}, {"text": "C\u00e9lia t\u00e1 aqui \u00f3 a Z\u00e9lia que ela vai sair", "start": 10529.351, "duration": 6.059}, {"text": "a\u00ed ela era arquiteta ela trabalhava d\u00e1", "start": 10531.841, "duration": 6.72}, {"text": "umas Oi as seis Ser\u00e1 que foi ela que", "start": 10535.41, "duration": 6.47}, {"text": "ajudou a construir essa na\u00e7\u00e3o", "start": 10538.561, "duration": 3.319}, {"text": "complicado isso a\u00ed n\u00e9", "start": 10542.061, "duration": 5.799}, {"text": "fica couro para voc\u00eas aqui t\u00e1 eu vou", "start": 10544.851, "duration": 6.129}, {"text": "guardar tudo isso e quando voc\u00ea quiser", "start": 10547.86, "duration": 9.89}, {"text": "voc\u00ea fala ele vai falando a\u00ed voc\u00ea t\u00e1 bom", "start": 10550.98, "duration": 6.77}, {"text": "pr\u00f3ximo do celular pode pode continuar", "start": 10558.561, "duration": 4.259}, {"text": "nesses arm\u00e1rio aqui s\u00f3", "start": 10560.7, "duration": 5.37}, {"text": "voc\u00ea vai encontrar eu n\u00e3o vou encostar", "start": 10562.82, "duration": 4.93}, {"text": "nas roupas da mulher que para n\u00e3o deixar", "start": 10566.07, "duration": 5.56}, {"text": "vest\u00edgio e pegar isso daqui \u00e9 isso que", "start": 10567.75, "duration": 6.13}, {"text": "n\u00e3o sei n\u00e3o eu tenho que o Tratado de", "start": 10571.63, "duration": 4.44}, {"text": "novo eu vou com segurar o seu dado geral", "start": 10573.88, "duration": 4.2}, {"text": "para as coisas voc\u00ea encontra vou te dar", "start": 10576.07, "duration": 3.659}, {"text": "tudo se encontrou Ent\u00e3o pode se", "start": 10578.08, "duration": 4.779}, {"text": "encontrou mais dois bilhetes", "start": 10579.729, "duration": 4.741}, {"text": "Oi ok", "start": 10582.859, "duration": 5.37}, {"text": "o prefeito \u00e9 esses dois aqui", "start": 10584.47, "duration": 4.38}, {"text": "E", "start": 10588.229, "duration": 3.18}, {"text": "voc\u00ea t\u00e1 olhando a porta do esculhambando", "start": 10588.85, "duration": 5.049}, {"text": "as gavetas aplicar a primeira frase de", "start": 10591.409, "duration": 3.901}, {"text": "cada um deles apenas para confirmar que", "start": 10593.899, "duration": 4.741}, {"text": "o pr\u00f3prio \u00c9 eu t\u00f4 com um cadinho de medo", "start": 10595.31, "duration": 7.2}, {"text": "s\u00f3 e essa situa\u00e7\u00e3o est\u00e1 ficando meio", "start": 10598.64, "duration": 6.38}, {"text": "complicada \u00e9", "start": 10602.51, "duration": 6.26}, {"text": "essa situa\u00e7\u00e3o", "start": 10605.02, "duration": 3.75}, {"text": "e me devolver da situa\u00e7\u00e3o", "start": 10609.439, "duration": 6.38}, {"text": "que voc\u00ea n\u00e3o", "start": 10612.13, "duration": 8.859}, {"text": "leu tudo \u00e9 isso aqui que \u00e9 o Ei voc\u00ea t\u00e1", "start": 10615.819, "duration": 7.361}, {"text": "beleza n\u00e3o aconteceu nada voc\u00ea mano voc\u00ea", "start": 10620.989, "duration": 5.72}, {"text": "t\u00e1 maravilhosa que \u00e9", "start": 10623.18, "duration": 3.529}, {"text": "esse daqui da\u00ed", "start": 10629.649, "duration": 6.361}, {"text": "prefeita dois bilhetes", "start": 10632.739, "duration": 5.771}, {"text": "por duas pessoas diferentes em pap\u00e9is", "start": 10636.01, "duration": 4.989}, {"text": "diferentes T\u00e1 eu vou ler o amassadinha", "start": 10638.51, "duration": 4.41}, {"text": "primeiro aqui pode eu t\u00f4 com um cadinho", "start": 10640.999, "duration": 5.28}, {"text": "de medo do meu anjo o seu Constantino", "start": 10642.92, "duration": 5.43}, {"text": "mudou muito parece meio esquisito teve", "start": 10646.279, "duration": 4.26}, {"text": "um surto e brigou comigo mas n\u00e3o acha", "start": 10648.35, "duration": 4.74}, {"text": "que \u00e9 por maldade Coitado ele at\u00e9 se", "start": 10650.539, "duration": 4.32}, {"text": "desculpa depois e foi embora para o", "start": 10653.09, "duration": 4.439}, {"text": "quarto Ele s\u00f3 t\u00e1 triste e meio doente", "start": 10654.859, "duration": 4.951}, {"text": "anda p\u00e1lido Imagina se fosse com a gente", "start": 10657.529, "duration": 4.741}, {"text": "me d\u00f3i S\u00f3 de pensar minha vida sem voc\u00ea", "start": 10659.81, "duration": 6.78}, {"text": "a\u00ed linha voc\u00ea leu isso para mim pode ser", "start": 10662.27, "duration": 6.12}, {"text": "pode ser o dia em voz alta T\u00e1 eu vou ler", "start": 10666.59, "duration": 3.16}, {"text": "isso aqui tamb\u00e9m", "start": 10668.39, "duration": 3.31}, {"text": "Eu acho que eu vou me ausentar por", "start": 10669.75, "duration": 4.17}, {"text": "alguns dias estou com n\u00e1usea constipa\u00e7\u00e3o", "start": 10671.7, "duration": 5.79}, {"text": "e incha\u00e7o preciso descansar a senhora", "start": 10673.92, "duration": 5.85}, {"text": "Norah alma foi um amor de pessoa e disse", "start": 10677.49, "duration": 4.05}, {"text": "que cuidaria das tarefas dom\u00e9sticas", "start": 10679.77, "duration": 4.38}, {"text": "enquanto eu repouso encontrar esse casal", "start": 10681.54, "duration": 4.59}, {"text": "t\u00e3o am\u00e1vel foi uma b\u00ean\u00e7\u00e3o em nossas", "start": 10684.15, "duration": 3.8}, {"text": "vidas", "start": 10686.13, "duration": 4.46}, {"text": "o nosso mais que uma p\u00e1 de gente nesse", "start": 10687.95, "duration": 4.81}, {"text": "nesse lugar hein", "start": 10690.59, "duration": 4.54}, {"text": "bom ent\u00e3o aparentemente ele realmente", "start": 10692.76, "duration": 4.71}, {"text": "pintava o que ele sentia mas tava que", "start": 10695.13, "duration": 4.439}, {"text": "ele tava ele tava ficando lel\u00e9 da cuca", "start": 10697.47, "duration": 5.28}, {"text": "no filme ruta repare tamb\u00e9m Heitor \u00e9 e", "start": 10699.569, "duration": 5.16}, {"text": "aquele desenho l\u00e1 naquela pintura levem", "start": 10702.75, "duration": 4.62}, {"text": "p\u00e1lida levei Thor tamb\u00e9m voc\u00ea t\u00e1 dizendo", "start": 10704.729, "duration": 4.771}, {"text": "foi tipo um auto-retrato Olha n\u00e3o sei", "start": 10707.37, "duration": 4.38}, {"text": "vai saber ele gostava de se pintar p\u00f3", "start": 10709.5, "duration": 5.88}, {"text": "gente t\u00e1 tem mais coisas para olhar", "start": 10711.75, "duration": 6.27}, {"text": "nesses quartos especificamente n\u00e3o t\u00e1", "start": 10715.38, "duration": 6.149}, {"text": "bom ent\u00e3o tem mais ou s\u00f3 l\u00e1 em baixo", "start": 10718.02, "duration": 5.91}, {"text": "agora nesse andar n\u00e3o tem mais nada que", "start": 10721.529, "duration": 4.5}, {"text": "abre n\u00e3o tem aquela porta n\u00e3o estava", "start": 10723.93, "duration": 3.75}, {"text": "trancando as portas trancadas nesse", "start": 10726.029, "duration": 3.54}, {"text": "andar a voc\u00ea n\u00e3o consegue abrir nenhuma", "start": 10727.68, "duration": 3.02}, {"text": "delas", "start": 10729.569, "duration": 4.771}, {"text": "tem uma revirada aqui mas sim eu e o", "start": 10730.7, "duration": 6.25}, {"text": "milho abriu l\u00e1 embaixo com aquela chave", "start": 10734.34, "duration": 4.979}, {"text": "o escrit\u00f3rio para o seu pai trabalhar a", "start": 10736.95, "duration": 3.84}, {"text": "gente viu que a porta trancada a gente", "start": 10739.319, "duration": 3.571}, {"text": "destrancou para ele olha se meu pai", "start": 10740.79, "duration": 3.84}, {"text": "tiver olhando alguma arte ele nem vai", "start": 10742.89, "duration": 3.33}, {"text": "ligar que a gente tava outro ficando l\u00e1", "start": 10744.63, "duration": 2.57}, {"text": "dentro", "start": 10746.22, "duration": 5.16}, {"text": "vamos voc\u00ea quer tentar e l\u00e1 embaixo Mas", "start": 10747.2, "duration": 6.04}, {"text": "tem que esconder isso aqui", "start": 10751.38, "duration": 5.16}, {"text": "ah ah eu boto aqui o envio tudo meio no", "start": 10753.24, "duration": 7.17}, {"text": "bols\u00e3o do avental assim perfeito voc\u00eas", "start": 10756.54, "duration": 5.521}, {"text": "peguem ent\u00e3o descendo para o primeiro", "start": 10760.41, "duration": 3.31}, {"text": "andar", "start": 10762.061, "duration": 4.119}, {"text": "a e voc\u00eas seguem em dire\u00e7\u00e3o ao", "start": 10763.72, "duration": 5.63}, {"text": "escrit\u00f3rio grande do andar de baixo", "start": 10766.18, "duration": 6.45}, {"text": "e enquanto isso no vilarejo presen\u00e7a", "start": 10769.35, "duration": 5.37}, {"text": "voc\u00ea tr\u00eas", "start": 10772.63, "duration": 6.109}, {"text": "olivieri e Milo seguem", "start": 10774.72, "duration": 7.2}, {"text": "\u00e9 a amorinha", "start": 10778.739, "duration": 6.091}, {"text": "oi Calma a\u00ed aqui eu cheguei agorinha e o", "start": 10781.92, "duration": 3.91}, {"text": "Ian", "start": 10784.83, "duration": 5.17}, {"text": "e para entrar no mato atr\u00e1s da cabana do", "start": 10785.83, "duration": 7.85}, {"text": "Wagner Ok eu botar voc\u00eas aqui voc\u00ea segue", "start": 10790.0, "duration": 6.96}, {"text": "vou levar voc\u00eas Vilarejo voc\u00eas entram", "start": 10793.68, "duration": 5.92}, {"text": "come\u00e7ar entrar mais ao fundo da floresta", "start": 10796.96, "duration": 5.58}, {"text": "\u00e9 ideal um teste de sobreviv\u00eancia voc\u00eas", "start": 10799.6, "duration": 4.53}, {"text": "dois pessoalmente o milo e come\u00e7a a", "start": 10802.54, "duration": 3.75}, {"text": "floresta melhor voc\u00ea pode auxiliar ele", "start": 10804.13, "duration": 4.891}, {"text": "agilidade n\u00e9 a gente \u00e9 intelecto selexol", "start": 10806.29, "duration": 4.37}, {"text": "isso o intelecto", "start": 10809.021, "duration": 3.128}, {"text": "[Aplausos]", "start": 10810.66, "duration": 2.199}, {"text": "em", "start": 10812.149, "duration": 4.411}, {"text": "2012 [\u00a0__\u00a0] Ok voc\u00ea consegue ver pegadas", "start": 10812.859, "duration": 5.951}, {"text": "e rastros de Galhos quebrados levando", "start": 10816.56, "duration": 5.009}, {"text": "por um caminho para dentro do mato o o", "start": 10818.81, "duration": 4.82}, {"text": "hyrule para chorando e", "start": 10821.569, "duration": 4.301}, {"text": "[M\u00fasica]", "start": 10823.63, "duration": 4.81}, {"text": "eu estava l\u00e1 vai para l\u00e1 ficar junto", "start": 10825.87, "duration": 5.22}, {"text": "fica junto comigo n\u00e3o sai de perto de", "start": 10828.44, "duration": 5.081}, {"text": "mim deixa eu pegar eu s\u00f3 vou colocar", "start": 10831.09, "duration": 4.221}, {"text": "voc\u00eas aqui no meio do mato", "start": 10833.521, "duration": 4.589}, {"text": "Olivier a primeira coisa que precisa", "start": 10835.311, "duration": 6.219}, {"text": "saber sobre a sair eu sou legal com todo", "start": 10838.11, "duration": 5.07}, {"text": "mundo aqui tentando ser legal com todo", "start": 10841.53, "duration": 2.91}, {"text": "mundo mas eu n\u00e3o tenho paci\u00eancia nenhuma", "start": 10843.18, "duration": 3.87}, {"text": "essa [\u00a0__\u00a0] desse moleque aqui moleque \u00e9", "start": 10844.44, "duration": 4.46}, {"text": "esse ele conhecida ele \u00e9 um babaca", "start": 10847.05, "duration": 4.5}, {"text": "babaca ele \u00e9 um babaca Ou ele se acha o", "start": 10848.9, "duration": 4.871}, {"text": "Reizinho da Ilha ele o irm\u00e3o mais novo", "start": 10851.55, "duration": 3.87}, {"text": "dele que voc\u00ea segue conseguir natureza", "start": 10853.771, "duration": 3.239}, {"text": "enquanto v\u00e3o conversando eu quero pode", "start": 10855.42, "duration": 3.53}, {"text": "conversando com isso \u00e9", "start": 10857.01, "duration": 4.29}, {"text": "ele o irm\u00e3o mais velho que ele \u00e9", "start": 10858.95, "duration": 3.76}, {"text": "policial eu acho que por isso ele acho", "start": 10861.3, "duration": 3.42}, {"text": "que ele pode fazer o que ele quiser aqui", "start": 10862.71, "duration": 5.76}, {"text": "entende o que fez com o gato deve ter", "start": 10864.72, "duration": 5.881}, {"text": "pegado o gato para encher o saco do Ian", "start": 10868.47, "duration": 6.66}, {"text": "t\u00e1 entendi mas a gente vai conseguir", "start": 10870.601, "duration": 6.479}, {"text": "resolver isso a\u00ed s\u00f3 vai prova encher o", "start": 10875.13, "duration": 6.09}, {"text": "saco e bom Espero que tava errado eu", "start": 10877.08, "duration": 6.51}, {"text": "consigo pegar esse gato sem precisar", "start": 10881.22, "duration": 6.219}, {"text": "voc\u00ea vai fazer com esse moleque Ol\u00e1 tudo", "start": 10883.59, "duration": 4.62}, {"text": "bem", "start": 10887.439, "duration": 3.301}, {"text": "perfeito voc\u00eas seguem o caminho da", "start": 10888.21, "duration": 4.63}, {"text": "trilha seguindo as crian\u00e7as para entrar", "start": 10890.74, "duration": 4.92}, {"text": "no meio da floresta a eventualmente", "start": 10892.84, "duration": 6.48}, {"text": "Voc\u00eas conseguem escutar uma risada duas", "start": 10895.66, "duration": 6.54}, {"text": "visadas na real meio meio arranhados", "start": 10899.32, "duration": 6.36}, {"text": "assim mesmo \u00e9", "start": 10902.2, "duration": 3.48}, {"text": "o", "start": 10906.31, "duration": 5.519}, {"text": "Pedrinho voc\u00ea segue o som da risada e", "start": 10906.989, "duration": 6.562}, {"text": "voc\u00ea encontra", "start": 10911.829, "duration": 5.382}, {"text": "os dois meninos um deles usa uma regata", "start": 10913.551, "duration": 4.82}, {"text": "branca", "start": 10917.211, "duration": 4.38}, {"text": "e uma jeans ele t\u00e1 com uma boina e ele", "start": 10918.371, "duration": 6.37}, {"text": "t\u00e1 segurando o gatilho bisteca nas m\u00e3os", "start": 10921.591, "duration": 5.61}, {"text": "o outro \u00e9 um pouquinho mais novo irm\u00e3o", "start": 10924.741, "duration": 5.01}, {"text": "dele o Vitinho eles s\u00e3o tipo tacando", "start": 10927.201, "duration": 3.96}, {"text": "gato um para o outro como se fosse uma", "start": 10929.751, "duration": 3.71}, {"text": "bola de v\u00f4lei assim olha", "start": 10931.161, "duration": 5.819}, {"text": "aqui a tarde e tacando de volta eles n\u00e3o", "start": 10933.461, "duration": 4.99}, {"text": "perceberam voc\u00eas a voc\u00ea falou na real", "start": 10936.98, "duration": 5.031}, {"text": "agora quando voc\u00ea fala ele vira a", "start": 10938.451, "duration": 8.029}, {"text": "tem que ser fiel Milu que \u00e9 isso da\u00ed", "start": 10942.011, "duration": 7.679}, {"text": "essa namoradinha novo que interessa", "start": 10946.48, "duration": 7.681}, {"text": "Pedrinho a gente tem problema da m\u00fasica", "start": 10949.69, "duration": 7.42}, {"text": "ou voc\u00ea me entrega [\u00a0__\u00a0] gato que n\u00e3o", "start": 10954.161, "duration": 4.63}, {"text": "tem nada a ver com isso \u00e9 tiver uma", "start": 10957.11, "duration": 5.51}, {"text": "crian\u00e7a de 5 anos de idade ou", "start": 10958.791, "duration": 6.469}, {"text": "Oi gente vai ter que resolver tenho quem", "start": 10962.62, "duration": 5.7}, {"text": "\u00e9 esse da\u00ed que abusadinho voc\u00ea assistiu", "start": 10965.26, "duration": 5.011}, {"text": "sou eu acabei de chegar aqui voc\u00eas est\u00e3o", "start": 10968.32, "duration": 3.41}, {"text": "exatamente", "start": 10970.271, "duration": 4.619}, {"text": "Muito prazer sou o Pedrinho Pedrinho", "start": 10971.73, "duration": 7.89}, {"text": "Limeira e eu sou o dono da Trilha", "start": 10974.89, "duration": 10.381}, {"text": "ou voc\u00ea ouve o o irm\u00e3o dele falando \u00e9 eu", "start": 10979.62, "duration": 8.71}, {"text": "e eu e eu e o Pedrinho a vida \u00e9 o \u00e9 o", "start": 10985.271, "duration": 5.769}, {"text": "dono da Ilha voc\u00eas", "start": 10988.33, "duration": 6.61}, {"text": "e eu mesmo voc\u00ea n\u00e3o tiver isso \u00e9 que eu", "start": 10991.04, "duration": 5.01}, {"text": "tinha aqui tem o que que aconteceu com", "start": 10994.94, "duration": 2.67}, {"text": "ele porque s\u00f3 com cuidado a crian\u00e7a a\u00ed", "start": 10996.05, "duration": 5.45}, {"text": "eu quero que se [\u00a0__\u00a0] voc\u00ea quer", "start": 10997.61, "duration": 7.52}, {"text": "Esse \u00e9 o seguinte voc\u00ea quer assim bico", "start": 11001.5, "duration": 4.46}, {"text": "aqui", "start": 11005.13, "duration": 3.84}, {"text": "a gente n\u00e3o quer que vai pegar \u00e9 bom", "start": 11005.96, "duration": 6.22}, {"text": "voc\u00ea pagar o ped\u00e1gio para baixo dos", "start": 11008.97, "duration": 4.92}, {"text": "donos da Ilha O que que voc\u00ea tem a\u00ed com", "start": 11012.18, "duration": 2.86}, {"text": "voc\u00ea", "start": 11013.89, "duration": 3.97}, {"text": "de nada fala aqui eu sabia sim acredito", "start": 11015.04, "duration": 4.35}, {"text": "que pegar um pano que o saco entrega", "start": 11017.86, "duration": 3.69}, {"text": "Cala a boca n\u00e3o cala a boca voc\u00ea carai", "start": 11019.39, "duration": 4.83}, {"text": "vai tomar no teu cu vai voc\u00ea hoje a", "start": 11021.55, "duration": 6.45}, {"text": "gente precisa brigar crian\u00e7a aqui com", "start": 11024.22, "duration": 5.82}, {"text": "essa [\u00a0__\u00a0] porque voc\u00ea pegar o gatinho", "start": 11028.0, "duration": 5.49}, {"text": "tornando um", "start": 11030.04, "duration": 3.45}, {"text": "e", "start": 11050.091, "duration": 3.3}, {"text": "fica se achando gordo da\u00ed o realmente", "start": 11050.801, "duration": 5.41}, {"text": "muito bem s\u00f3 que tivesse aqui era", "start": 11053.391, "duration": 4.189}, {"text": "diferente", "start": 11056.211, "duration": 4.539}, {"text": "com quem que voc\u00ea falou", "start": 11057.58, "duration": 7.95}, {"text": "eu eu vou me chegar perto dele e quer", "start": 11060.75, "duration": 6.22}, {"text": "pegar por aqui voc\u00ea vai para cima dele", "start": 11065.53, "duration": 4.35}, {"text": "vou acordo vai para cima ele Taca o", "start": 11066.97, "duration": 5.341}, {"text": "Pedrinho Taca o gato para cima do irm\u00e3o", "start": 11069.88, "duration": 4.59}, {"text": "dele \u00e9", "start": 11072.311, "duration": 4.529}, {"text": "e voc\u00ea pode me encher o saco todo o", "start": 11074.47, "duration": 3.929}, {"text": "santo dia voc\u00ea pode falar com meu pai", "start": 11076.84, "duration": 2.849}, {"text": "n\u00e3o fracassar Voc\u00ea pode falar que eu", "start": 11078.399, "duration": 3.361}, {"text": "nunca voc\u00ea com o meu irm\u00e3o mas a pr\u00f3xima", "start": 11079.689, "duration": 4.741}, {"text": "vez que voc\u00ea falar o nome do meu irm\u00e3o", "start": 11081.76, "duration": 5.5}, {"text": "falar qualquer coisa sobre ele", "start": 11084.43, "duration": 5.17}, {"text": "e voc\u00ea n\u00e3o vai querer me contaria n\u00e3o", "start": 11087.26, "duration": 5.7}, {"text": "filho que \u00e9 feito tudo como \u00e9 que \u00e9 v\u00e3o", "start": 11089.6, "duration": 4.87}, {"text": "s\u00f3 pra casa dele", "start": 11092.96, "duration": 4.47}, {"text": "um OK pode depois do ataque", "start": 11094.47, "duration": 6.66}, {"text": "a reposta n\u00e9 for\u00e7a luta", "start": 11097.43, "duration": 6.45}, {"text": "de 14 a", "start": 11101.13, "duration": 6.059}, {"text": "a\u00ed vai ele bloqueia ele bloqueia n\u00e3o", "start": 11103.88, "duration": 6.55}, {"text": "mentira ele n\u00e3o bloqueia 14 certo \u00e9 4 a", "start": 11107.189, "duration": 6.511}, {"text": "1 e 3 \u00e9 31", "start": 11110.43, "duration": 7.98}, {"text": "a atriz voc\u00ea tirou 36 OK fala [\u00a0__\u00a0]", "start": 11113.7, "duration": 7.59}, {"text": "voc\u00ea n\u00e3o [\u00a0__\u00a0] o c\u00e3o ele voc\u00ea tipo voc\u00ea", "start": 11118.41, "duration": 5.76}, {"text": "pegou ele e ele ia falar", "start": 11121.29, "duration": 4.649}, {"text": "e eu fiquei aquele que me aqui no seu", "start": 11124.17, "duration": 4.86}, {"text": "pai ou prepara com essa [\u00a0__\u00a0] vai tomar", "start": 11125.939, "duration": 5.131}, {"text": "tem a gente empurra para tr\u00e1s tenta", "start": 11129.03, "duration": 4.79}, {"text": "vontade de for\u00e7a controle de luta e", "start": 11131.07, "duration": 5.75}, {"text": "E ai [\u00a0__\u00a0] caiu da jogo Logo caiu l\u00e1 no", "start": 11133.82, "duration": 5.191}, {"text": "n\u00e3o vou jogar fora de novo nossa longe", "start": 11136.82, "duration": 4.34}, {"text": "para", "start": 11139.011, "duration": 2.149}, {"text": "[\u00a0__\u00a0] voc\u00ea s\u00f3 vai para tr\u00e1s voc\u00ea para", "start": 11141.641, "duration": 7.719}, {"text": "de ser [\u00a0__\u00a0] o saco entrega esse gato", "start": 11146.0, "duration": 7.62}, {"text": "n\u00e3o que vai ter o seu irm\u00e3o seu irm\u00e3o eu", "start": 11149.36, "duration": 6.21}, {"text": "sei que eu nunca vou ser ele quem me", "start": 11153.62, "duration": 4.41}, {"text": "dera que lugar ele vira para o Vitinho", "start": 11155.57, "duration": 5.1}, {"text": "n\u00e3o vai pegar ele t\u00e1 com o gato com", "start": 11158.03, "duration": 5.941}, {"text": "for\u00e7a para [\u00a0__\u00a0] para cima e o gato e", "start": 11160.67, "duration": 6.391}, {"text": "se agarra em uma \u00e1rvore l\u00e1 no topo seu", "start": 11163.971, "duration": 5.969}, {"text": "merda e ele sai correndo Palmitinho e", "start": 11167.061, "duration": 4.769}, {"text": "saiu os dois correndo por meio do mato e", "start": 11169.94, "duration": 4.63}, {"text": "o gato t\u00e1 preso em cima da \u00e1rvore", "start": 11171.83, "duration": 4.931}, {"text": "e ele vai proibir o que voc\u00ea faz que que", "start": 11174.57, "duration": 3.96}, {"text": "voc\u00ea faz Oliveira eu vou eu vou direto", "start": 11176.761, "duration": 4.8}, {"text": "palavra hoje ela tava sentada l\u00e1 eu vou", "start": 11178.53, "duration": 5.1}, {"text": "eu vou eu vou parar tamb\u00e9m o menor ele", "start": 11181.561, "duration": 3.689}, {"text": "t\u00e1 os dois saem correndo para o meio do", "start": 11183.63, "duration": 3.69}, {"text": "mato voc\u00ea n\u00e3o tem que n\u00e3o veio aqui", "start": 11185.25, "duration": 4.92}, {"text": "ainda deu merda e vai fugir eles fugiram", "start": 11187.32, "duration": 6.02}, {"text": "os dois para o meio do mato que eu falei", "start": 11190.17, "duration": 6.091}, {"text": "que que ele falou que papel isso do seu", "start": 11193.34, "duration": 6.57}, {"text": "irm\u00e3o voc\u00ea vai se voc\u00ea vai saber", "start": 11196.261, "duration": 6.779}, {"text": "tipo preso ele t\u00e1 agarrado assustado", "start": 11199.91, "duration": 6.151}, {"text": "numa H\u00fangaro l\u00e1 em cima", "start": 11203.04, "duration": 5.46}, {"text": "ele t\u00e1 deixa eu ver quantos metros de", "start": 11206.061, "duration": 6.429}, {"text": "altura vou jogar vou jogar na frente de", "start": 11208.5, "duration": 6.18}, {"text": "voc\u00eas aqui \u00f3", "start": 11212.49, "duration": 4.02}, {"text": "a ouvir m\u00fasica O que quanto mais eu t\u00f4", "start": 11214.68, "duration": 5.42}, {"text": "t\u00e1 essa os dois [\u00a0__\u00a0] n\u00e3o consigo ver", "start": 11216.51, "duration": 7.889}, {"text": "[\u00a0__\u00a0] seis mais eu juro eu n\u00e3o consigo", "start": 11220.1, "duration": 7.42}, {"text": "ver acho que \u00e9 13 n\u00e3o voc\u00ea quer 13 \u00e9 99", "start": 11224.399, "duration": 6.601}, {"text": "outro sabem alguma sacrific\u00e1-lo ele", "start": 11227.52, "duration": 5.07}, {"text": "tacou para cima o gato come\u00e7ou a escalar", "start": 11231.0, "duration": 3.72}, {"text": "o Pedrinho pode AIDS calor eu quero que", "start": 11232.59, "duration": 4.4}, {"text": "estava vivo e se o gato cai", "start": 11234.72, "duration": 3.92}, {"text": "[M\u00fasica]", "start": 11236.99, "duration": 4.539}, {"text": "muito alto mas um gato gato consegue", "start": 11238.64, "duration": 7.049}, {"text": "planta zap n\u00e3o", "start": 11241.529, "duration": 4.16}, {"text": "funciona", "start": 11253.22, "duration": 3.0}, {"text": "mas se voc\u00ea quiser \u00f3", "start": 11267.979, "duration": 6.571}, {"text": "e eu ia tentar escalar isso aqui mas eu", "start": 11271.97, "duration": 4.92}, {"text": "n\u00e3o sei se eu consigo possa escalar e", "start": 11274.55, "duration": 4.229}, {"text": "quando eles podem ver aqui Al\u00e1 \u00e9 um", "start": 11276.89, "duration": 5.69}, {"text": "teste de tr\u00e1s do que a \u00e9 um teste de", "start": 11278.779, "duration": 8.79}, {"text": "Depende de como voc\u00ea quiser instalar a", "start": 11282.58, "duration": 4.989}, {"text": "Ah", "start": 11288.689, "duration": 6.63}, {"text": "t\u00e1 \u00e9 eu posso usar com agilidade a", "start": 11290.51, "duration": 6.37}, {"text": "descreve como voc\u00ea vai instalar Primeiro", "start": 11295.319, "duration": 4.231}, {"text": "me descreve que eu te digo teste ok eu", "start": 11296.88, "duration": 4.979}, {"text": "t\u00f4 vendo o gato que esperado l\u00e1 l\u00e1 em", "start": 11299.55, "duration": 7.019}, {"text": "cima eu vejo que eu consigo subir por", "start": 11301.859, "duration": 7.29}, {"text": "alguns Galhos e usar tipo \u00e9 Atletismo", "start": 11306.569, "duration": 6.0}, {"text": "atletismo \u00e9 a precisa t\u00e1 com for\u00e7a", "start": 11309.149, "duration": 4.981}, {"text": "utilidade dependendo de como voc\u00ea", "start": 11312.569, "duration": 3.68}, {"text": "escrever t\u00e1", "start": 11314.13, "duration": 5.46}, {"text": "eu vou tentar subir r\u00e1pido mais r\u00e1pido", "start": 11316.249, "duration": 5.95}, {"text": "poss\u00edvel porque eu t\u00f4 com medo do gato", "start": 11319.59, "duration": 7.439}, {"text": "cair e \u00e9 isso t\u00e1 D\u00e1 um teste de", "start": 11322.199, "duration": 7.53}, {"text": "atletismo com agilidade ent\u00e3o", "start": 11327.029, "duration": 4.76}, {"text": "E a\u00ed", "start": 11329.729, "duration": 2.06}, {"text": "e a pera a\u00ed", "start": 11332.61, "duration": 3.861}, {"text": "a", "start": 11336.681, "duration": 6.599}, {"text": "10/10 d\u00e1 um jogo um de 41", "start": 11337.391, "duration": 5.889}, {"text": "14 voc\u00ea sobe 4 metros OK", "start": 11343.69, "duration": 6.52}, {"text": "T\u00e1 tudo bem a\u00ed vamos estar falando com", "start": 11347.83, "duration": 4.33}, {"text": "voc\u00ea sobe que eu vejo um gato", "start": 11350.21, "duration": 6.69}, {"text": "desesperado eu eu sempre destruir a", "start": 11352.16, "duration": 5.84}, {"text": "floresta", "start": 11356.9, "duration": 3.51}, {"text": "todos os dias que eu podia eu sou subir", "start": 11358.0, "duration": 4.24}, {"text": "em \u00e1rvore ficava brincando tudo mais", "start": 11360.41, "duration": 4.2}, {"text": "ent\u00e3o eu n\u00e3o tinha medo nem um monte de", "start": 11362.24, "duration": 3.66}, {"text": "seguran\u00e7a em locais pr\u00f3ximos a \u00e1rvore", "start": 11364.61, "duration": 3.09}, {"text": "Ent\u00e3o eu vi o quarto desesperado eu fui", "start": 11365.9, "duration": 3.72}, {"text": "e aqui na garganta me segurando nos", "start": 11367.7, "duration": 4.83}, {"text": "galhos e tudo mais e foi o m\u00e1ximo que eu", "start": 11369.62, "duration": 5.25}, {"text": "conseguir chegar at\u00e9 pensar de novo que", "start": 11372.53, "duration": 5.13}, {"text": "vai fazer OK voc\u00ea \u00e9 voc\u00ea acha um galho", "start": 11374.87, "duration": 5.28}, {"text": "est\u00e1vel A \u00e1rvore t\u00e1 mexendo um pouquinho", "start": 11377.66, "duration": 5.691}, {"text": "assim voc\u00ea olha para se obter", "start": 11380.15, "duration": 6.48}, {"text": "posso eu posso eu posso fazer um teste", "start": 11383.351, "duration": 5.649}, {"text": "de adestramento j\u00e1 t\u00e1 calma ele voc\u00ea t\u00e1", "start": 11386.63, "duration": 3.84}, {"text": "meio longe dele ele t\u00e1 cinco metros voc\u00ea", "start": 11389.0, "duration": 4.38}, {"text": "t\u00e1 eu vou t\u00e1 bom demais e vou ficar", "start": 11390.47, "duration": 5.07}, {"text": "embaixo de voc\u00ea eu falei qualquer coisa", "start": 11393.38, "duration": 5.011}, {"text": "t\u00f4 aqui t\u00e1 ligado logo porque sen\u00e3o j\u00e1", "start": 11395.54, "duration": 4.95}, {"text": "era para mim tu vai mais u\u00e9 se o gato \u00e9", "start": 11398.391, "duration": 3.96}, {"text": "isso se voc\u00ea me pegar seu c\u00e1 isso a\u00ed", "start": 11400.49, "duration": 3.18}, {"text": "pegar se", "start": 11402.351, "duration": 3.999}, {"text": "aposentar eu j\u00e1 vou conseguir eu fa\u00e7o", "start": 11403.67, "duration": 4.24}, {"text": "outro Caixa voc\u00ea tamb\u00e9m mais n\u00e3o pede", "start": 11406.35, "duration": 7.041}, {"text": "atletismo se der baixo de 10 voc\u00ea cai em", "start": 11407.91, "duration": 10.33}, {"text": "a 20 vinte joga um desse para mim", "start": 11413.391, "duration": 4.849}, {"text": "E", "start": 11418.67, "duration": 3.75}, {"text": "voc\u00ea t\u00e1 aonde voc\u00ea sobe mais quatro", "start": 11419.56, "duration": 4.6}, {"text": "metros e voc\u00ea t\u00e1 a um metro do gato", "start": 11422.42, "duration": 4.019}, {"text": "agora OK disse que era para mim com voc\u00ea", "start": 11424.16, "duration": 4.97}, {"text": "sobe eu", "start": 11426.439, "duration": 5.511}, {"text": "subi os quatro metros aqui t\u00e1 bem alto", "start": 11429.13, "duration": 7.51}, {"text": "os quatro metros \u00e9 eu fiquei oh perna", "start": 11431.95, "duration": 5.86}, {"text": "Daqui um pouquinho de medo porque eu", "start": 11436.64, "duration": 3.36}, {"text": "comecei a ficar muito alto mas eu vi o", "start": 11437.81, "duration": 4.44}, {"text": "desespero do gato e eu gosto de animal", "start": 11440.0, "duration": 4.979}, {"text": "ent\u00e3o eu precisava subir ali e a\u00ed eu vou", "start": 11442.25, "duration": 4.92}, {"text": "l\u00e1 em cima agora pode honestamente voc\u00ea", "start": 11444.979, "duration": 3.361}, {"text": "quiser eu tivesse feito alguma coisa", "start": 11447.17, "duration": 2.76}, {"text": "voc\u00ea ver as crian\u00e7as est\u00e3o chorando", "start": 11448.34, "duration": 4.32}, {"text": "assim a Amora leva com mais madura", "start": 11449.93, "duration": 5.1}, {"text": "parece ele tem uma idade bem parecida a", "start": 11452.66, "duration": 4.98}, {"text": "mora deve ter uma cerca cerca de 11 anos", "start": 11455.03, "duration": 5.159}, {"text": "e o Ian o menorzinho ele tem no m\u00e1ximo", "start": 11457.64, "duration": 5.25}, {"text": "nove \u00e9 ele t\u00e1 chorando abra\u00e7ada ela t\u00e1", "start": 11460.189, "duration": 4.141}, {"text": "te cuida t\u00e1 calma a\u00ed ela parece bem", "start": 11462.89, "duration": 3.27}, {"text": "madura pra idade dela eu vou l\u00e1 com eles", "start": 11464.33, "duration": 5.811}, {"text": "e vou eu vou falar com eles l\u00e1", "start": 11466.16, "duration": 6.261}, {"text": "a gente pode ficar tranquilo que o", "start": 11470.141, "duration": 3.839}, {"text": "rapidinho na vida pegar o gatinho t\u00e1", "start": 11472.421, "duration": 4.05}, {"text": "relaxa ele t\u00e1 quase ali \u00f3 t\u00e1 vendo a\u00ed \u00f3", "start": 11473.98, "duration": 4.291}, {"text": "t\u00e1 ponto que o menino ali tamb\u00e9m \u00e9 onde", "start": 11476.471, "duration": 4.05}, {"text": "voc\u00ea estiver com seu nome \u00e9 melhor viver", "start": 11478.271, "duration": 6.128}, {"text": "prazer eu sou L er", "start": 11480.521, "duration": 7.628}, {"text": "e olhe controle chamativo que que \u00e9 isso", "start": 11484.399, "duration": 5.941}, {"text": "no seu pesco\u00e7o l\u00e1 pronto para o seu do", "start": 11488.149, "duration": 5.46}, {"text": "seu neg\u00f3cio \u00e9 pendurado neg\u00f3cio \u00e9 sente", "start": 11490.34, "duration": 5.46}, {"text": "um colarzinho com espada Voc\u00ea quer um", "start": 11493.609, "duration": 4.531}, {"text": "calorzinho eu isso a\u00ed \u00e9 s\u00f3 gosta de", "start": 11495.8, "duration": 6.36}, {"text": "colar essa \u00e1gua parece a minha um pouco", "start": 11498.14, "duration": 6.69}, {"text": "Se voc\u00ea n\u00e3o conseguir ela tem tipo um", "start": 11502.16, "duration": 4.31}, {"text": "casaquinho azul s\u00f3 que o dono tem capuz", "start": 11504.83, "duration": 4.85}, {"text": "entende aparece o mesmo rem\u00e9dio parece", "start": 11506.47, "duration": 6.341}, {"text": "que voc\u00ea conhece na ilha enquanto est\u00e1", "start": 11509.68, "duration": 5.05}, {"text": "subindo ele n\u00e3o gostava que fazer na", "start": 11512.811, "duration": 4.109}, {"text": "ilha \u00e9 ent\u00e3o \u00e9 na verdade registrado", "start": 11514.73, "duration": 3.661}, {"text": "para c\u00e1 eu n\u00e3o queria vir para c\u00e1 ser", "start": 11516.92, "duration": 4.32}, {"text": "sincero porque voc\u00ea n\u00e3o gosta da ilha a\u00ed", "start": 11518.391, "duration": 4.619}, {"text": "ele \u00e9 o lugar mais legal que tem aquele", "start": 11521.24, "duration": 4.5}, {"text": "tem um monte de gente legal a gente", "start": 11523.01, "duration": 4.98}, {"text": "legal fazer que menos o Pedrinho t\u00e1 o", "start": 11525.74, "duration": 5.09}, {"text": "Pedrinho n\u00e3o perto uma bab\u00e1 Guilherme", "start": 11527.99, "duration": 5.821}, {"text": "cara ruim \u00e9 um cara muito legal eu n\u00e3o", "start": 11530.83, "duration": 5.47}, {"text": "gosto dele tamb\u00e9m ele sempre fica ele", "start": 11533.811, "duration": 4.439}, {"text": "sempre fica mas tudo bem seja foi embora", "start": 11536.3, "duration": 6.63}, {"text": "enchendo o Bianca o Ronaldo previsto o", "start": 11538.25, "duration": 8.16}, {"text": "bisteca e algumas risadas assim \u00e9 isso", "start": 11542.93, "duration": 6.03}, {"text": "a\u00ed vai pegar o menino t\u00e1 t\u00e1 fazendo com", "start": 11546.41, "duration": 5.99}, {"text": "ela pegar um obrigado a\u00ed eu", "start": 11548.96, "duration": 6.561}, {"text": "e o pior fica olhando assim em j\u00e1 que", "start": 11552.4, "duration": 6.06}, {"text": "sumiu cair machuca ele n\u00e3o vai cair t\u00e1", "start": 11555.521, "duration": 5.099}, {"text": "tranquilo ela t\u00e1 seguran\u00e7a m\u00e3o tipo t\u00e1", "start": 11558.46, "duration": 4.95}, {"text": "abra\u00e7ando o Yasmin amigo voc\u00ea t\u00e1 um", "start": 11560.62, "duration": 4.95}, {"text": "m\u00e9todo gato o gato t\u00e1 tipo assustado", "start": 11563.41, "duration": 4.731}, {"text": "para [\u00a0__\u00a0] o rabo levantado assim", "start": 11565.57, "duration": 5.701}, {"text": "assim eu vou fazer um teste adestramento", "start": 11568.141, "duration": 4.75}, {"text": "para ver se eu consigo acalmar a\u00ed \u00e9 uma", "start": 11571.271, "duration": 3.429}, {"text": "diferen\u00e7a n\u00e9 \u00e9 presen\u00e7a assim", "start": 11572.891, "duration": 3.389}, {"text": "[Aplausos]", "start": 11574.7, "duration": 4.03}, {"text": "o 17 que voc\u00ea faz", "start": 11576.28, "duration": 5.54}, {"text": "eu ent\u00e3o n\u00e9", "start": 11578.73, "duration": 7.36}, {"text": "eu quero conseguir chegar nele com altos", "start": 11581.82, "duration": 5.92}, {"text": "ficando um pouco Voc\u00ea n\u00e3o cansa em outra", "start": 11586.09, "duration": 3.181}, {"text": "quase alcan\u00e7ando eles pode fazer alguma", "start": 11587.74, "duration": 4.981}, {"text": "coisa est\u00e9tica est\u00e9tica Calma calma tava", "start": 11589.271, "duration": 6.329}, {"text": "esperando mas ele", "start": 11592.721, "duration": 6.148}, {"text": "o William William t\u00e1 te esperando calma", "start": 11595.6, "duration": 6.24}, {"text": "t\u00e1 tudo bem t\u00e1 tudo bem ele come\u00e7a ele", "start": 11598.869, "duration": 4.86}, {"text": "come\u00e7a a tipo e se esgueirando para", "start": 11601.84, "duration": 3.66}, {"text": "passar para arrastar m\u00e3o na sua cara", "start": 11603.729, "duration": 4.8}, {"text": "sabe eu vou te salvar T\u00e1 tudo bem T\u00e1", "start": 11605.5, "duration": 4.949}, {"text": "tudo bem a gente vai descer de seguran\u00e7a", "start": 11608.529, "duration": 3.271}, {"text": "e voc\u00ea passar Cunhada t\u00e1 tudo bem ele t\u00e1", "start": 11610.449, "duration": 4.381}, {"text": "o seu alcance eu quero puxar ele dar um", "start": 11611.8, "duration": 5.639}, {"text": "teste de reflexo Praia do amor de", "start": 11614.83, "duration": 5.09}, {"text": "reflexo agilidade", "start": 11617.439, "duration": 4.01}, {"text": "[Aplausos]", "start": 11619.92, "duration": 5.109}, {"text": "20 mais cinco reflexo a arte 22020 mais", "start": 11621.449, "duration": 6.341}, {"text": "55 f\u00e1cil de voc\u00ea pega ele facinho mano", "start": 11625.029, "duration": 4.38}, {"text": "voc\u00ea tava tipo voc\u00ea fica se livra nas", "start": 11627.79, "duration": 3.6}, {"text": "duas nas duas pernas assim em cima de um", "start": 11629.409, "duration": 3.99}, {"text": "galho e s\u00f3 pega eles e tamb\u00e9m que", "start": 11631.39, "duration": 3.24}, {"text": "surfando em cima de um galho voc\u00ea tem um", "start": 11633.399, "duration": 3.451}, {"text": "equil\u00edbrio perfeito OK T\u00e1 tudo bem T\u00e1", "start": 11634.63, "duration": 5.149}, {"text": "tudo bem tudo bem eu vou salvar", "start": 11636.85, "duration": 5.309}, {"text": "Agora eu preciso descer Desce bem \u00e9 um", "start": 11639.779, "duration": 4.471}, {"text": "mais um teste de", "start": 11642.159, "duration": 4.861}, {"text": "atletismo com agilidade ele tem que na", "start": 11644.25, "duration": 4.989}, {"text": "verdade porque gastar na minha n\u00e3o falo", "start": 11647.02, "duration": 4.41}, {"text": "n\u00e3o sei \u00e9 mais dif\u00edcil de ser com o gato", "start": 11649.239, "duration": 4.051}, {"text": "no colo com certeza t\u00e1 preciso agilidade", "start": 11651.43, "duration": 3.27}, {"text": "aqui \u00f3", "start": 11653.29, "duration": 3.84}, {"text": "Oi 19 eu n\u00e3o vi voc\u00ea consegue descer em", "start": 11654.7, "duration": 4.38}, {"text": "seguran\u00e7a escreva o computador triathlon", "start": 11657.13, "duration": 4.74}, {"text": "salva o bisteca a\u00ed eu consigo ver tudo", "start": 11659.08, "duration": 5.34}, {"text": "j\u00e1 deu tudo j\u00e1 fui essa disse que era", "start": 11661.87, "duration": 4.17}, {"text": "para mim como voc\u00ea tava ele ok eu te", "start": 11664.42, "duration": 3.17}, {"text": "falar eu t\u00f4 com", "start": 11666.04, "duration": 4.231}, {"text": "bisteca eu tava com ele nos dois bra\u00e7os", "start": 11667.59, "duration": 4.9}, {"text": "eu fiz um carinhozinho nele coloquei ele", "start": 11670.271, "duration": 4.559}, {"text": "de baixo do meu do meu ombro aqui do meu", "start": 11672.49, "duration": 5.76}, {"text": "suvaco e fui descendo em seguran\u00e7a e de", "start": 11674.83, "duration": 5.191}, {"text": "um galho focado no lugar e foi descendo", "start": 11678.25, "duration": 3.12}, {"text": "e adicionar descendo at\u00e9 chegar no ch\u00e3o", "start": 11680.021, "duration": 4.979}, {"text": "voc\u00ea aterrissou no ch\u00e3o com seguran\u00e7a e", "start": 11681.37, "duration": 5.64}, {"text": "na hora que voc\u00ea pisa no ch\u00e3o amora", "start": 11685.0, "duration": 5.01}, {"text": "Largo a sua m\u00e3o a bisteca milo e ela vai", "start": 11687.01, "duration": 5.79}, {"text": "correndo e eu tamb\u00e9m ame peca e os dois", "start": 11690.01, "duration": 4.47}, {"text": "v\u00e3o ficar chupando a simples para voc\u00ea", "start": 11692.8, "duration": 4.2}, {"text": "entregar o bisteca o valor para roupa", "start": 11694.48, "duration": 5.25}, {"text": "calma calma calma t\u00e1 ele da\u00ed ele da\u00ed ele", "start": 11697.0, "duration": 5.521}, {"text": "da\u00ed ele que gosta mais bisteca teu e os", "start": 11699.73, "duration": 4.52}, {"text": "dois", "start": 11702.521, "duration": 4.79}, {"text": "frio eu eu eu", "start": 11704.25, "duration": 8.28}, {"text": "acho que o Ian gosta ele fica bicicleta", "start": 11707.311, "duration": 10.218}, {"text": "ele se abra\u00e7o bisteca e a Kelly e ele", "start": 11712.53, "duration": 7.49}, {"text": "pega o est\u00e1 aqui agora vamos e ele est\u00e1", "start": 11717.529, "duration": 4.261}, {"text": "correndo sozinho com bisteca a Amora", "start": 11720.02, "duration": 5.39}, {"text": "fica para tr\u00e1s fica com voc\u00eas T\u00e1", "start": 11721.79, "duration": 6.33}, {"text": "agora voc\u00ea tava sentada com ele quando", "start": 11725.41, "duration": 5.079}, {"text": "quando o Pedrinho chegou ou voc\u00ea s\u00f3 vive", "start": 11728.12, "duration": 4.22}, {"text": "chorando ai n\u00e3o", "start": 11730.489, "duration": 4.29}, {"text": "se eu tivesse com ele n\u00e3o ia deixar ele", "start": 11732.34, "duration": 6.22}, {"text": "pegar a bisteca voc\u00ea sabe como Pedrinho", "start": 11734.779, "duration": 6.54}, {"text": "\u00e9 mas qualquer coisa que esse menino", "start": 11738.56, "duration": 5.79}, {"text": "quiser cuian voc\u00ea pode falar comigo \u00e9", "start": 11741.319, "duration": 5.101}, {"text": "claro voc\u00ea vou chamar o Superman Lu eu", "start": 11744.35, "duration": 3.66}, {"text": "te dar um abra\u00e7o e um abra\u00e7o de voltas", "start": 11746.42, "duration": 4.109}, {"text": "vai ficar tudo bem t\u00e1 sempre t\u00e1 tudo bem", "start": 11748.01, "duration": 7.79}, {"text": "e o seu companheiro super ele veio", "start": 11750.529, "duration": 5.271}, {"text": "a e ela \u00e0 espera ela bota a m\u00e3o dentro", "start": 11757.779, "duration": 8.111}, {"text": "da jaqueta dela e qu\u00ea de presente e ela", "start": 11762.229, "duration": 6.832}, {"text": "te dar um presente", "start": 11765.89, "duration": 6.741}, {"text": "o que eu vou aqui ajudar um desenho que", "start": 11769.061, "duration": 5.929}, {"text": "ela fez", "start": 11772.631, "duration": 2.359}, {"text": "deixa aqui", "start": 11775.74, "duration": 3.361}, {"text": "e agora voc\u00ea tem um ponto de ser idade", "start": 11780.091, "duration": 9.029}, {"text": "Extra voc\u00eas dois oi oi \u00e9s furthering", "start": 11784.501, "duration": 6.51}, {"text": "salvo o bisteca e tem o desenho do", "start": 11789.12, "duration": 4.261}, {"text": "bisteca da hora quando voc\u00ea n\u00e3o quando", "start": 11791.011, "duration": 4.05}, {"text": "voc\u00eas precisarem Tipo se voc\u00ea tiver", "start": 11793.381, "duration": 3.779}, {"text": "comendo oportunidade voc\u00ea pode usar esse", "start": 11795.061, "duration": 3.96}, {"text": "item para recuperar um semin\u00e1rio vou ter", "start": 11797.16, "duration": 3.3}, {"text": "que lembrar disso n\u00e9 Isso \u00e9 voc\u00ea tem que", "start": 11799.021, "duration": 3.0}, {"text": "guardar o item usar ele \u00e9 uma coisa n\u00e9", "start": 11800.46, "duration": 3.721}, {"text": "ent\u00e3o por favor n\u00e3o na ficha que tem", "start": 11802.021, "duration": 3.629}, {"text": "algum lugar de observa\u00e7\u00e3o que eu possa", "start": 11804.181, "duration": 3.0}, {"text": "fazer ent\u00e3o ele tem possa levantar o", "start": 11805.65, "duration": 5.22}, {"text": "desenho nas teclas boa a\u00ed quando voc\u00eas", "start": 11807.181, "duration": 6.359}, {"text": "tiverem menos 1 cm da disse se algum dia", "start": 11810.87, "duration": 5.82}, {"text": "acontecer vai isso voc\u00eas podem usar esse", "start": 11813.54, "duration": 6.271}, {"text": "desenho a toda essa treta demorou um", "start": 11816.69, "duration": 5.451}, {"text": "tempinho aquelas acharem tudo ent\u00e3o", "start": 11819.811, "duration": 5.669}, {"text": "t\u00e1 \u00e9 cerca de 4 a 5 horas da tarde Agora", "start": 11822.141, "duration": 4.809}, {"text": "vai come\u00e7ar a anoitecer daqui a pouco", "start": 11825.48, "duration": 4.531}, {"text": "aqui a quando voc\u00eas est\u00e3o ela te pega o", "start": 11826.95, "duration": 7.38}, {"text": "desenho voc\u00eas vem chegando logo entrando", "start": 11830.011, "duration": 8.37}, {"text": "assim no Matagal o Barnab\u00e9 e o Evandro o", "start": 11834.33, "duration": 6.33}, {"text": "delegado da cidade deixa eu puxar os", "start": 11838.381, "duration": 4.64}, {"text": "dois aqui", "start": 11840.66, "duration": 2.361}, {"text": "se fosse um dia que voc\u00eas podem", "start": 11844.93, "duration": 3.78}, {"text": "interagir que eles chegarem s\u00f3 para", "start": 11847.06, "duration": 2.87}, {"text": "operar", "start": 11848.71, "duration": 5.0}, {"text": "vamos ver basicamente a\u00ed n\u00e9 Isso \u00e9", "start": 11849.93, "duration": 7.509}, {"text": "uma loucura cara mas voc\u00ea sincero a\u00ed eu", "start": 11853.71, "duration": 5.1}, {"text": "chego perto do mesmo assim e bata na", "start": 11857.439, "duration": 4.471}, {"text": "rostinho dele eu gosto de voc\u00ea legal", "start": 11858.81, "duration": 4.719}, {"text": "acho que voc\u00ea \u00e9 a coisa mais neg\u00f3cio at\u00e9", "start": 11861.91, "duration": 3.93}, {"text": "agora para ele fica bem e nem feliz com", "start": 11863.529, "duration": 4.431}, {"text": "essa coisa informa\u00e7\u00f5es fala", "start": 11865.84, "duration": 5.099}, {"text": "obrigado obrigado obrigado mesmo eu", "start": 11867.96, "duration": 4.899}, {"text": "espero que seja um bom companheiro n\u00e3o", "start": 11870.939, "duration": 4.17}, {"text": "pelo menos enquanto voc\u00ea estiver aqui eu", "start": 11872.859, "duration": 3.691}, {"text": "n\u00e3o sei se voc\u00ea veio para morar ou n\u00e3o", "start": 11875.109, "duration": 4.59}, {"text": "sei mas uma hora a gente vai ter n\u00e3o mas", "start": 11876.55, "duration": 4.62}, {"text": "quando eu tiver aqui voc\u00ea quiser falar", "start": 11879.699, "duration": 3.391}, {"text": "n\u00e3o tinha que sair para fazer uma coisa", "start": 11881.17, "duration": 3.99}, {"text": "coisa n\u00e3o tem tanta coisa para fazer mas", "start": 11883.09, "duration": 3.78}, {"text": "eu posso adicionar pescar se voc\u00ea quiser", "start": 11885.16, "duration": 3.39}, {"text": "problema \u00e9 que voc\u00ea n\u00e3o fez isso l\u00e1 na", "start": 11886.87, "duration": 3.779}, {"text": "cabe\u00e7a que tinha n\u00e9 ent\u00e3o qualquer dia", "start": 11888.55, "duration": 5.61}, {"text": "a\u00ed \u00f3 a\u00ed voc\u00eas v\u00eam os dois chegando a a\u00ed", "start": 11890.649, "duration": 5.55}, {"text": "amor a papai deu tudo certo papai ela", "start": 11894.16, "duration": 5.369}, {"text": "corre Abra\u00e7a o Barnab\u00e9 l\u00e1 que bom voc\u00eas", "start": 11896.199, "duration": 4.37}, {"text": "resolveram", "start": 11899.529, "duration": 3.181}, {"text": "l\u00f3gico resolver era s\u00f3 o Pedrinho de", "start": 11900.569, "duration": 4.371}, {"text": "novo mais uma tentar e voc\u00eas vem esse E", "start": 11902.71, "duration": 4.65}, {"text": "a\u00ed atr\u00e1s e n\u00e3o cara ele \u00e9 mais gordinho", "start": 11904.94, "duration": 4.71}, {"text": "ele tem a barba por fazer assim ele tem", "start": 11907.36, "duration": 4.241}, {"text": "o cabelo meio que puxado para tr\u00e1s em", "start": 11909.65, "duration": 3.63}, {"text": "gel alguma outra coisa talvez seja s\u00f3", "start": 11911.601, "duration": 4.109}, {"text": "que n\u00e3o toma banho mesmo at\u00e9 uma jaqueta", "start": 11913.28, "duration": 4.771}, {"text": "longa azul e ele tem um distintivo de", "start": 11915.71, "duration": 5.28}, {"text": "pol\u00edcia no peito ele t\u00e1 com um olhar", "start": 11918.051, "duration": 6.33}, {"text": "meio s\u00e9rio assim porque o que que tava", "start": 11920.99, "duration": 6.181}, {"text": "acontecendo aqui voc\u00ea provavelmente vai", "start": 11924.381, "duration": 5.22}, {"text": "mais uma vez achar besteira mas o", "start": 11927.171, "duration": 5.579}, {"text": "Pedrinho de novo tirou foi encher o saco", "start": 11929.601, "duration": 6.149}, {"text": "do do Yan pegou o gato e fugiu para a", "start": 11932.75, "duration": 4.23}, {"text": "floresta para voc\u00ea me chamou de novo", "start": 11935.75, "duration": 2.48}, {"text": "para programa de crian\u00e7a", "start": 11936.98, "duration": 5.821}, {"text": "mas eu o gato ele s\u00f3 vou sair e virar as", "start": 11938.23, "duration": 7.331}, {"text": "costas para de gastar meu tempo com", "start": 11942.801, "duration": 4.949}, {"text": "coisas in\u00fateis e vai colocar Sem", "start": 11945.561, "duration": 4.83}, {"text": "problema simples por enquanto por", "start": 11947.75, "duration": 3.95}, {"text": "enquanto", "start": 11950.391, "duration": 3.619}, {"text": "a crian\u00e7a de pro igual seu pai era", "start": 11951.7, "duration": 5.72}, {"text": "tamb\u00e9m e ele sai caminhando", "start": 11954.01, "duration": 3.41}, {"text": "o ok Google n\u00e3o fala nada ficou", "start": 11957.641, "duration": 6.66}, {"text": "intimidado n\u00e9 velho rel\u00f3gio que filho da", "start": 11959.921, "duration": 6.35}, {"text": "[\u00a0__\u00a0]", "start": 11964.301, "duration": 4.8}, {"text": "o bar aberto agora que ele t\u00e1 de mal", "start": 11966.271, "duration": 6.54}, {"text": "humor mais um dia ele n\u00e3o \u00e9 sempre assim", "start": 11969.101, "duration": 6.45}, {"text": "na reuni\u00e3o quase sempre assim a iva Pois", "start": 11972.811, "duration": 4.98}, {"text": "comigo ele \u00e9 sempre assim", "start": 11975.551, "duration": 5.82}, {"text": "bomba na reta t\u00e1 resolvido a gente", "start": 11977.791, "duration": 5.56}, {"text": "precisa pegar ele olha assim para mora", "start": 11981.371, "duration": 5.85}, {"text": "l\u00e1 bom n\u00f3s n\u00e3o tem nada que deixa mais", "start": 11983.351, "duration": 5.009}, {"text": "feliz do que o sorriso essa pequenininha", "start": 11987.221, "duration": 3.75}, {"text": "aqui voc\u00ea pode levar as coisas a\u00ed fica", "start": 11988.36, "duration": 4.141}, {"text": "pela minha conta \u00e9 um presente de", "start": 11990.971, "duration": 3.269}, {"text": "boas-vindas tamb\u00e9m para voc\u00eas na ilha de", "start": 11992.501, "duration": 3.72}, {"text": "sejam bem-vindos ele tem uma coisa que", "start": 11994.24, "duration": 3.66}, {"text": "voc\u00ea pode ter seguran\u00e7a que eu vou", "start": 11996.221, "duration": 4.38}, {"text": "cuidar dos seus d\u00e1 mole a\u00ed pode ficar", "start": 11997.9, "duration": 5.161}, {"text": "tranquilo e sempre se precisar qualquer", "start": 12000.601, "duration": 5.19}, {"text": "coisa a pode contar comigo t\u00e1 estou", "start": 12003.061, "duration": 4.879}, {"text": "descendo a\u00ed voc\u00eas t\u00eam controlar a luz", "start": 12005.791, "duration": 5.48}, {"text": "n\u00e3o n\u00e3o eu tenho um celular aqui ent\u00e3o", "start": 12007.94, "duration": 5.79}, {"text": "t\u00e1", "start": 12011.271, "duration": 4.75}, {"text": "voc\u00ea pegou a\u00ed ele tava que eu posto", "start": 12013.73, "duration": 3.919}, {"text": "desde sempre j\u00e1 pega seu celular", "start": 12016.021, "duration": 5.518}, {"text": "\u00e9 um de 20 novo", "start": 12017.649, "duration": 3.89}, {"text": "os 10 isso que voc\u00ea perdeu de bateria", "start": 12021.68, "duration": 4.28}, {"text": "tem um por cento", "start": 12023.989, "duration": 5.221}, {"text": "ent\u00e3o eu tava andando \u00e0 noite aqui voc\u00ea", "start": 12025.96, "duration": 5.79}, {"text": "tem uma lanterna procurar", "start": 12029.21, "duration": 4.46}, {"text": "Ah t\u00e1 bom assim que eu posso emprestar", "start": 12031.75, "duration": 4.08}, {"text": "um Lampi\u00e3o para voc\u00eas mas depois voc\u00ea me", "start": 12033.67, "duration": 3.96}, {"text": "levou vem amanh\u00e3 de manh\u00e3 eu passo l\u00e1 na", "start": 12035.83, "duration": 3.62}, {"text": "lojinha entrego para voc\u00ea", "start": 12037.63, "duration": 4.62}, {"text": "t\u00e1 bom n\u00e3o esquece que s\u00f3 tem mais um", "start": 12039.45, "duration": 5.13}, {"text": "pode deixar ela tem uma vers\u00e3o problema", "start": 12042.25, "duration": 4.56}, {"text": "certo vamos l\u00e1 no mercado ent\u00e3o eu trago", "start": 12044.58, "duration": 4.27}, {"text": "para voc\u00eas ent\u00e3o cuidado hein que que", "start": 12046.81, "duration": 4.11}, {"text": "houve que t\u00e1 tendo bicho a\u00ed o Wagner", "start": 12048.85, "duration": 4.74}, {"text": "falou que viu um porco a\u00ed de manh\u00e3 nem", "start": 12050.92, "duration": 5.4}, {"text": "te conto viu para ver todos vivos ao r\u00e9u", "start": 12053.59, "duration": 4.71}, {"text": "foi trombar com talento para mans\u00e3o", "start": 12056.32, "duration": 4.32}, {"text": "acabamos falando com carvalle Ok fique", "start": 12058.3, "duration": 4.44}, {"text": "bem obrigado Mais uma vez ele \u00e9 um", "start": 12060.64, "duration": 4.71}, {"text": "tapinha na cabe\u00e7a namora assim eu sabe", "start": 12062.74, "duration": 4.09}, {"text": "como \u00e9 importante para mim", "start": 12065.35, "duration": 4.03}, {"text": "\u00e9 a voc\u00eas v\u00e3o ter mercado pega um", "start": 12066.83, "duration": 4.83}, {"text": "Lampi\u00e3o e come\u00e7am a voltar para n\u00f3s", "start": 12069.38, "duration": 5.3}, {"text": "curar para promo\u00e7\u00e3o isso perfeitos", "start": 12071.66, "duration": 6.21}, {"text": "voltando para mans\u00e3o temos uma dupla", "start": 12074.68, "duration": 5.4}, {"text": "investigadora que est\u00e1", "start": 12077.87, "duration": 5.191}, {"text": "parentes documento \u00e9 a Gabriela Player", "start": 12080.08, "duration": 5.61}, {"text": "que sua frio aqui", "start": 12083.061, "duration": 4.559}, {"text": "espero que tipo t\u00e1 passando quantas", "start": 12085.69, "duration": 3.76}, {"text": "horas dentro do jogo voc\u00eas podem parar", "start": 12087.62, "duration": 3.87}, {"text": "e-mail pensar nas coisas n\u00e3o \u00e9 meta game", "start": 12089.45, "duration": 3.84}, {"text": "voc\u00ea fazer isso por fora t\u00e1 Eu vou", "start": 12091.49, "duration": 2.97}, {"text": "comentar coisas que voc\u00ea descobriu", "start": 12093.29, "duration": 5.55}, {"text": "depois acho ligar aqui e t\u00e1 bem em que", "start": 12094.46, "duration": 5.811}, {"text": "perd\u00e3o", "start": 12098.84, "duration": 4.88}, {"text": "eu comprei no primeiro andar certo", "start": 12100.271, "duration": 5.04}, {"text": "ue", "start": 12103.72, "duration": 4.66}, {"text": "enquanto est\u00e1 descendo Eu puxei uns", "start": 12105.311, "duration": 6.149}, {"text": "neg\u00f3cio para mim eles assim", "start": 12108.38, "duration": 6.48}, {"text": "se voc\u00ea tinha falado da leilinha mas a", "start": 12111.46, "duration": 5.65}, {"text": "lei linha Se voc\u00ea olhar aqui nos", "start": 12114.86, "duration": 6.06}, {"text": "papelzinhos ela \u00e9 Ela \u00e9 amada de algu\u00e9m", "start": 12117.11, "duration": 5.911}, {"text": "que n\u00e3o eu contendo eu j\u00e1 tinha", "start": 12120.92, "duration": 3.9}, {"text": "percebido isso s\u00e3o duas pessoas mas eu", "start": 12123.021, "duration": 3.849}, {"text": "achava que a linha do Constantino Oi", "start": 12124.82, "duration": 4.27}, {"text": "minha amada de algu\u00e9m t\u00e1 trabalhando com", "start": 12126.87, "duration": 4.8}, {"text": "Constantino e t\u00e1 ficando uma mans\u00e3o essa", "start": 12129.09, "duration": 5.25}, {"text": "pessoa que Deus aben\u00e7oa t\u00e1 cuidando", "start": 12131.67, "duration": 4.32}, {"text": "Constantino eu tava falando com certinho", "start": 12134.34, "duration": 5.36}, {"text": "aquela v\u00eddeo o resto ent\u00e3o", "start": 12135.99, "duration": 7.59}, {"text": "investiga\u00e7\u00e3o atualidades voc\u00eas duas da", "start": 12139.7, "duration": 4.86}, {"text": "m\u00e3e", "start": 12143.58, "duration": 5.24}, {"text": "intelig\u00eancia ou", "start": 12144.56, "duration": 4.26}, {"text": "hist\u00f3ria se tiver a hist\u00f3ria tamb\u00e9m eu", "start": 12149.78, "duration": 6.64}, {"text": "vou querer eu vou querer gastar dois", "start": 12153.78, "duration": 6.69}, {"text": "pontos de esfor\u00e7o e e usar uma hist\u00f3ria", "start": 12156.42, "duration": 6.15}, {"text": "ontem a\u00ed eu queria ci\u00eancias no caso e", "start": 12160.47, "duration": 5.31}, {"text": "usar o empenho de ci\u00eancias n\u00e3o t\u00e1 aqui", "start": 12162.57, "duration": 5.369}, {"text": "eu venho isso claro que tem um faz um", "start": 12165.78, "duration": 4.199}, {"text": "favor Quando fizer um teste de per\u00edcia", "start": 12167.939, "duration": 3.75}, {"text": "pode gastar dois pontos de esfor\u00e7o nesse", "start": 12169.979, "duration": 3.331}, {"text": "teste e acrescentar mais um desses", "start": 12171.689, "duration": 5.061}, {"text": "perfeitos a pode fazer em atualidades", "start": 12173.31, "duration": 6.96}, {"text": "atualidades eu jogo o de 20 e a\u00ed j\u00e1", "start": 12176.75, "duration": 5.59}, {"text": "acontecer soma esse valor ligasse os", "start": 12180.27, "duration": 3.54}, {"text": "dois p\u00e9s t\u00e1", "start": 12182.34, "duration": 4.17}, {"text": "Oi desculpa o desenho do PIS aqui vamos", "start": 12183.81, "duration": 5.8}, {"text": "zero n\u00e9 volume 05 em", "start": 12186.51, "duration": 7.93}, {"text": "O doce a 12 mais jogos desses agora j\u00e1", "start": 12189.61, "duration": 6.72}, {"text": "tinha jogado descer junto com que j\u00e1", "start": 12194.44, "duration": 5.43}, {"text": "tomou j\u00e1 falei Ok voc\u00ea sabe que \u00e9 muito", "start": 12196.33, "duration": 7.351}, {"text": "comum para pessoas Afinal voc\u00ea cresceu", "start": 12199.87, "duration": 5.55}, {"text": "muito rica Eu s\u00f3 cheguei no servi\u00e7o a\u00ed", "start": 12203.681, "duration": 4.889}, {"text": "que moram junto com elas nas casas \u00e9 bem", "start": 12205.42, "duration": 4.56}, {"text": "prov\u00e1vel que essas pessoas que est\u00e3o", "start": 12208.57, "duration": 3.63}, {"text": "trocando bilhetinhos sejamos eram", "start": 12209.98, "duration": 5.18}, {"text": "servi\u00e7ais do pintor t\u00e1", "start": 12212.2, "duration": 5.91}, {"text": "ent\u00e3o tem a pessoa que que trabalhava", "start": 12215.16, "duration": 5.47}, {"text": "aqui tava alguns pontos que tava", "start": 12218.11, "duration": 4.08}, {"text": "mandando bilhete para o matar o dilei", "start": 12220.63, "duration": 3.99}, {"text": "linha que pode ser a pessoa que falou", "start": 12222.19, "duration": 3.991}, {"text": "para se encontrar no jardim e tomar um", "start": 12224.62, "duration": 4.26}, {"text": "vinho \u00e9 verdade mas \u00e9 leilinha", "start": 12226.181, "duration": 5.069}, {"text": "trabalhava aqui dentro Olha a\u00ed linha", "start": 12228.88, "duration": 3.381}, {"text": "tamb\u00e9m", "start": 12231.25, "duration": 4.67}, {"text": "olha Terra ent\u00e3o esses bilhetes", "start": 12232.261, "duration": 6.729}, {"text": "funcion\u00e1rios se comunicam acho que n\u00e3o", "start": 12235.92, "duration": 4.65}, {"text": "os funcion\u00e1rios", "start": 12238.99, "duration": 4.41}, {"text": "talvez se algu\u00e9m que morrava na ilha", "start": 12240.57, "duration": 5.401}, {"text": "porque se voc\u00ea pegar esse bilhete aqui", "start": 12243.4, "duration": 6.19}, {"text": "do querido \u00e9 uma mulher escrevendo isso", "start": 12245.971, "duration": 5.079}, {"text": "e a", "start": 12249.59, "duration": 4.95}, {"text": "menos que re\u00fanam precisou aqui prendendo", "start": 12251.05, "duration": 6.88}, {"text": "esse conceito \u00c9 verdade n\u00e3o t\u00e1 tudo", "start": 12254.54, "duration": 6.6}, {"text": "certo mas Envia Eu acho que a Leidinha", "start": 12257.93, "duration": 5.96}, {"text": "trabalhava aqui e queria", "start": 12261.14, "duration": 5.79}, {"text": "tinha algo rom\u00e2ntico com algu\u00e9m de folga", "start": 12263.89, "duration": 4.44}, {"text": "e eu", "start": 12266.93, "duration": 4.38}, {"text": "n\u00e3o sei pode ser o velho l\u00e1 n\u00e9 porque", "start": 12268.33, "duration": 5.8}, {"text": "ser o velho \u00e9 lo e tem anoral mas tamb\u00e9m", "start": 12271.31, "duration": 5.58}, {"text": "a outra mo\u00e7a mas \u00e9 normal mas \u00e9 normal", "start": 12274.13, "duration": 5.58}, {"text": "mas n\u00e3o \u00e9 ou n\u00e3o alma jamais tem um ter", "start": 12276.89, "duration": 4.71}, {"text": "mais gente trocando bilhete em v\u00e1rias", "start": 12279.71, "duration": 3.45}, {"text": "pessoas trocando bilhetes ou ent\u00e3o", "start": 12281.6, "duration": 4.17}, {"text": "neg\u00f3cio muito esquisito aqui que a lista", "start": 12283.16, "duration": 6.06}, {"text": "de coisa aqui herdou que tem um neg\u00f3cio", "start": 12285.77, "duration": 6.209}, {"text": "estranho t\u00e1 entendeu L\u00edcia documento o", "start": 12289.22, "duration": 5.94}, {"text": "Marquinho bota mais galocha Ga\u00facha uns", "start": 12291.979, "duration": 6.42}, {"text": "fertilizante vencido umas garrafas de", "start": 12295.16, "duration": 6.71}, {"text": "cacha\u00e7a l\u00e1 casa diante da oposi\u00e7\u00e3o que", "start": 12298.399, "duration": 6.261}, {"text": "se ment\u00e1rio", "start": 12301.87, "duration": 6.37}, {"text": "fertilizantes quando eu li isso eu tinha", "start": 12304.66, "duration": 6.921}, {"text": "tamb\u00e9m uma caixa e ele n\u00e3o leva conhecer", "start": 12308.24, "duration": 7.051}, {"text": "\u00e9 uma caixa de metal mas com 25", "start": 12311.581, "duration": 6.779}, {"text": "voc\u00ea mandamento e 25 cartas e telegramas", "start": 12315.291, "duration": 7.27}, {"text": "as cartas espa\u00e7o sujo.de coisa vermelha", "start": 12318.36, "duration": 5.54}, {"text": "de", "start": 12322.561, "duration": 3.96}, {"text": "sangue n\u00e9 coisa vermelha surgindo com as", "start": 12323.9, "duration": 3.901}, {"text": "coisas e ketchup", "start": 12326.521, "duration": 4.679}, {"text": "voc\u00ea t\u00e1 maluco Esse fim ent\u00e3o louco vai", "start": 12327.801, "duration": 5.989}, {"text": "ficar o tinta verdade", "start": 12331.2, "duration": 5.23}, {"text": "mas voc\u00eas chegam no escrit\u00f3rio realmente", "start": 12333.79, "duration": 6.84}, {"text": "50 o centro do escrit\u00f3rio voc\u00eas vem o o", "start": 12336.43, "duration": 7.29}, {"text": "motel Ele est\u00e1 realmente bem imerso na", "start": 12340.63, "duration": 5.67}, {"text": "ele t\u00e1 tipo analisando e botou alguns", "start": 12343.72, "duration": 4.35}, {"text": "quadros em cima da mesa assim l\u00e1 dos", "start": 12346.3, "duration": 4.19}, {"text": "pequenos ele t\u00e1 de finalizando com", "start": 12348.07, "duration": 6.3}, {"text": "equipamentos mais espec\u00edficos bonitinhas", "start": 12350.49, "duration": 6.31}, {"text": "com lentes pequenas ele nem percebe a", "start": 12354.37, "duration": 4.17}, {"text": "voc\u00ea trabalha como se voc\u00eas n\u00e3o", "start": 12356.8, "duration": 3.62}, {"text": "existissem ali para ele", "start": 12358.54, "duration": 4.56}, {"text": "tem alguns pontos tem um arm\u00e1rio +", "start": 12360.42, "duration": 4.84}, {"text": "isqueiro de voc\u00eas tem a pr\u00f3pria mesa com", "start": 12363.1, "duration": 4.65}, {"text": "gavetas que ele t\u00e1 \u00c9 e tem algumas", "start": 12365.26, "duration": 4.8}, {"text": "instantes atr\u00e1s dele olha s\u00f3 t\u00e1 tudo bem", "start": 12367.75, "duration": 4.32}, {"text": "com seu pai de mentir a\u00ed ele vai nem", "start": 12370.06, "duration": 4.38}, {"text": "notar que voc\u00ea quer ver a\u00ed voc\u00ea cuida as", "start": 12372.07, "duration": 4.951}, {"text": "outras partes e eu vou na missa dele por", "start": 12374.44, "duration": 4.68}, {"text": "ele n\u00e3o sentiu incomodado com voc\u00ea l\u00e1", "start": 12377.021, "duration": 4.619}, {"text": "porque ele n\u00e3o te conhece n\u00e9 Tava \u00e9 da", "start": 12379.12, "duration": 4.17}, {"text": "T\u00e1 eu vou na mesa dele ent\u00e3o eu quero", "start": 12381.64, "duration": 4.53}, {"text": "olhar mesa Ok voc\u00ea chega do lado dele", "start": 12383.29, "duration": 6.66}, {"text": "ele fam\u00edlia que a conta uma coisa a n\u00e3o", "start": 12386.17, "duration": 5.91}, {"text": "vem pouco a chave por aqui pelas gavetas", "start": 12389.95, "duration": 6.01}, {"text": "palavra e as outras Oi \u00f3 tem uma eu tava", "start": 12392.08, "duration": 5.859}, {"text": "correndo que eu tenho a chave aqui aqui", "start": 12395.96, "duration": 5.279}, {"text": "mais ao lado tem Ah t\u00e1 ela pega a chave", "start": 12397.939, "duration": 5.04}, {"text": "ele aponta uma gaveta aberta tem alguns", "start": 12401.239, "duration": 5.521}, {"text": "documentos e uma chave \u00e9 o documento que", "start": 12402.979, "duration": 6.741}, {"text": "voc\u00ea pega \u00e9 esse daqui", "start": 12406.76, "duration": 6.26}, {"text": "\u00e9 isso daqui", "start": 12409.72, "duration": 3.3}, {"text": "Esse \u00e9 um telegrama posso j\u00e1 enrolando a", "start": 12414.2, "duration": 5.37}, {"text": "investiga\u00e7\u00e3o Pode Com certeza eu n\u00e3o", "start": 12416.84, "duration": 4.92}, {"text": "preciso rolar mais nada por enquanto n\u00e3o", "start": 12419.57, "duration": 4.111}, {"text": "voc\u00ea n\u00e3o est\u00e1 na pesquisou 21 da", "start": 12421.76, "duration": 3.24}, {"text": "esquerda", "start": 12423.681, "duration": 4.409}, {"text": "a 21 de investiga\u00e7\u00e3o voc\u00ea achou a parada", "start": 12425.0, "duration": 6.5}, {"text": "[\u00a0__\u00a0] voc\u00eas s\u00e3o compilado", "start": 12428.09, "duration": 7.19}, {"text": "Bem antigo com v\u00e1rias coisas t\u00e3o aqui", "start": 12431.5, "duration": 6.43}, {"text": "parece um mapa com algumas coisas", "start": 12435.28, "duration": 5.46}, {"text": "atrelados \u00e0 ele", "start": 12437.93, "duration": 2.81}, {"text": "Ol\u00e1", "start": 12442.12, "duration": 3.68}, {"text": "eu sou o Sol num num", "start": 12443.101, "duration": 7.629}, {"text": "creme sim da sala e", "start": 12445.8, "duration": 4.93}, {"text": "O que \u00e9 isso s\u00f3 que \u00e9 o mundo voc\u00eas", "start": 12453.09, "duration": 6.06}, {"text": "querem ler pode ler telegrama e", "start": 12456.359, "duration": 4.921}, {"text": "e eu eu viro para ela do outro lado da", "start": 12459.15, "duration": 6.6}, {"text": "sala e fala assim amiga amiga", "start": 12461.28, "duration": 4.47}, {"text": "e o pai t\u00e1 [\u00a0__\u00a0] se ele est\u00e1 nem a\u00ed t\u00e1", "start": 12467.12, "duration": 6.36}, {"text": "escutando Eu dei uma serve para Tudo Ou", "start": 12470.54, "duration": 4.92}, {"text": "vamos para o espec\u00edfico por enquanto pra", "start": 12473.48, "duration": 4.23}, {"text": "voc\u00ea eu vou andar at\u00e9 ela e eu vou falar", "start": 12475.46, "duration": 5.99}, {"text": "assim para ela ah n\u00e3o alma a nossa alma", "start": 12477.71, "duration": 6.811}, {"text": "pela mulher do Constantino voc\u00ea", "start": 12481.45, "duration": 4.98}, {"text": "descobriu a volta inteira", "start": 12484.521, "duration": 5.549}, {"text": "se prepara n\u00e3o temos contato h\u00e1 muito", "start": 12486.43, "duration": 5.74}, {"text": "tempo no ramo que houve como eu n\u00e3o suas", "start": 12490.07, "duration": 4.14}, {"text": "pesquisas alguma nova descoberta da", "start": 12492.17, "duration": 3.99}, {"text": "cerca daquilo h\u00e1 boatos de que sofreu um", "start": 12494.21, "duration": 3.9}, {"text": "acidente grave espero que essa mensagem", "start": 12496.16, "duration": 4.35}, {"text": "\u00e9 encontra e dentes Tentei contato com", "start": 12498.11, "duration": 5.22}, {"text": "seu marido Constantino mas n\u00e3o houveram", "start": 12500.51, "duration": 4.11}, {"text": "respostas n\u00e3o que eu realmente", "start": 12503.33, "duration": 3.87}, {"text": "espirrasse qualquer resposta dele me", "start": 12504.62, "duration": 4.08}, {"text": "responda assim que poss\u00edvel o seu", "start": 12507.2, "duration": 4.44}, {"text": "sil\u00eancio me preocupa espero que voc\u00eas", "start": 12508.7, "duration": 5.25}, {"text": "vamos nos ver em breve e tomar com caf\u00e9", "start": 12511.64, "duration": 6.171}, {"text": "para colocavam os assuntos em dia", "start": 12513.95, "duration": 5.51}, {"text": "remetente e destinat\u00e1rio", "start": 12517.811, "duration": 6.159}, {"text": "Eloi Appel paga no ramo Moretti luz e", "start": 12519.46, "duration": 7.5}, {"text": "amor arma", "start": 12523.97, "duration": 3.88}, {"text": "eu", "start": 12526.96, "duration": 4.7}, {"text": "fui ui o que que voc\u00ea achou", "start": 12527.85, "duration": 7.3}, {"text": "encontrei fofoca tamb\u00e9m mas s\u00f3 que isso", "start": 12531.66, "duration": 5.35}, {"text": "aqui isso aqui n\u00e3o me deixou meu Perdida", "start": 12535.15, "duration": 4.29}, {"text": "na real tem uns mapa os lugares que eu", "start": 12537.01, "duration": 5.07}, {"text": "nunca vi eu n\u00e3o sei os nomes dos negros", "start": 12539.44, "duration": 5.43}, {"text": "um lugar nos neg\u00f3cios longe pode barrir", "start": 12542.08, "duration": 4.89}, {"text": "barriga e por dentro daquele da ficha", "start": 12544.87, "duration": 3.3}, {"text": "tamb\u00e9m que eu falo que eu falei que ia", "start": 12546.97, "duration": 3.0}, {"text": "fichar inventariar tem dessa forma de", "start": 12548.17, "duration": 3.75}, {"text": "barril tamb\u00e9m e tem um monte de", "start": 12549.97, "duration": 4.37}, {"text": "papelzinho falando", "start": 12551.92, "duration": 5.58}, {"text": "oi demorei mais do que esperado Mas", "start": 12554.34, "duration": 5.11}, {"text": "finalmente encontrei o hist\u00f3rico que me", "start": 12557.5, "duration": 5.13}, {"text": "pediu e meus livros da se\u00e7\u00e3o de arquivo", "start": 12559.45, "duration": 5.31}, {"text": "hist\u00f3rico daqui da biblioteca tor\u00e7o para", "start": 12562.63, "duration": 3.87}, {"text": "que ele seja que voc\u00ea esteja procurando", "start": 12564.76, "duration": 6.261}, {"text": "se n\u00e3o me retorna essa carta", "start": 12566.5, "duration": 6.431}, {"text": "e tamb\u00e9m Tube", "start": 12571.021, "duration": 5.82}, {"text": "ent\u00e3o \u00e9 continuarem as buscas \u00e9 Eloi", "start": 12572.931, "duration": 7.899}, {"text": "Abreu a\u00ed tem um outro negocinho aqui ele", "start": 12576.841, "duration": 5.519}, {"text": "olhar eu mesmo que mandou uma carta para", "start": 12580.83, "duration": 5.0}, {"text": "o haruma e m\u00e3e", "start": 12582.36, "duration": 6.42}, {"text": "t\u00e1 calma ent\u00e3o tem essa pessoa que d\u00e1", "start": 12585.83, "duration": 6.101}, {"text": "bibliotecas her\u00f3i tem o hist\u00f3rico da", "start": 12588.78, "duration": 5.67}, {"text": "fam\u00edlia Moretti aqui Moretti \u00e9 do do", "start": 12591.931, "duration": 5.04}, {"text": "controle no Divino e da nossa alma", "start": 12594.45, "duration": 5.13}, {"text": "tamb\u00e9m de origem italiana Amauri e", "start": 12596.971, "duration": 4.729}, {"text": "remete a", "start": 12599.58, "duration": 5.4}, {"text": "qual o nome italiano maurus que", "start": 12601.7, "duration": 5.141}, {"text": "significa aquele que \u00e9 nascido ouvindo", "start": 12604.98, "duration": 5.071}, {"text": "de maurit\u00e2nia na Idade M\u00e9dia escrito", "start": 12606.841, "duration": 5.699}, {"text": "como moro mouros e adicionado sufixo", "start": 12610.051, "duration": 5.939}, {"text": "diminutivo at tinha como significado", "start": 12612.54, "duration": 5.521}, {"text": "pequeno muro passou a ser mais comum na", "start": 12615.99, "duration": 4.531}, {"text": "It\u00e1lia no s\u00e9culo 15 a varia\u00e7\u00f5es como", "start": 12618.061, "duration": 5.089}, {"text": "moretto morucci morucci", "start": 12620.521, "duration": 5.129}, {"text": "liderados pelo Patriarca \u00c2ngelo Amadeu", "start": 12623.15, "duration": 4.42}, {"text": "Moretti o maior a maior parte dessa", "start": 12625.65, "duration": 5.2}, {"text": "fam\u00edlia era composta por exploradores e", "start": 12627.57, "duration": 6.52}, {"text": "eu sei l\u00e1 que viajar pelo mundo em busca", "start": 12630.85, "duration": 5.58}, {"text": "de novas descobertas chega no Brasil", "start": 12634.09, "duration": 4.17}, {"text": "durante o per\u00edodo da coloniza\u00e7\u00e3o logo em", "start": 12636.43, "duration": 4.349}, {"text": "meados de 1500 \u00c2ngelo sua fam\u00edlia", "start": 12638.26, "duration": 4.2}, {"text": "percorreram litoral do pa\u00eds e chegaram", "start": 12640.779, "duration": 3.71}, {"text": "encontra conflitos em uma das ilhas", "start": 12642.46, "duration": 5.189}, {"text": "pr\u00f3ximas da Costa que hoje \u00e9 o Esp\u00edrito", "start": 12644.489, "duration": 5.591}, {"text": "Santo \u00e9 esse a\u00ed ele aqui o nome dessa", "start": 12647.649, "duration": 4.911}, {"text": "ilha ilha de ti [\u00a0__\u00a0]", "start": 12650.08, "duration": 5.329}, {"text": "[\u00a0__\u00a0]", "start": 12652.56, "duration": 5.849}, {"text": "[\u00a0__\u00a0]", "start": 12655.409, "duration": 3.0}, {"text": "esse negocinho circulado que no mapa \u00e9", "start": 12658.68, "duration": 4.1}, {"text": "n\u00f3s \u00e9", "start": 12661.3, "duration": 5.211}, {"text": "[Risadas]", "start": 12662.78, "duration": 4.441}, {"text": "Oi oi", "start": 12666.511, "duration": 3.65}, {"text": "bom dia", "start": 12667.221, "duration": 5.95}, {"text": "tentei uns uns caminho aqui uns neg\u00f3cio", "start": 12670.161, "duration": 5.319}, {"text": "ele tava procurando esse lugar ent\u00e3o ele", "start": 12673.171, "duration": 4.109}, {"text": "n\u00e3o veio para c\u00e1 por qualquer coisa t\u00e1", "start": 12675.48, "duration": 4.651}, {"text": "procurando vir aqui mas n\u00f3s devia sair", "start": 12677.28, "duration": 4.381}, {"text": "com isso aqui daqui no seu pai veja que", "start": 12680.131, "duration": 3.809}, {"text": "n\u00f3s pegou essas coisas n\u00e9 \u00c9 verdade mas", "start": 12681.661, "duration": 3.51}, {"text": "ser mais que voc\u00ea procure por que olhar", "start": 12683.94, "duration": 3.121}, {"text": "aqui essas hor\u00e1rio para um lado tem", "start": 12685.171, "duration": 4.859}, {"text": "outro em mais duas coisas hor\u00e1rio olha", "start": 12687.061, "duration": 3.86}, {"text": "s\u00f3", "start": 12690.03, "duration": 3.33}, {"text": "os documentos eu vou fingir que esses", "start": 12690.921, "duration": 5.35}, {"text": "pap\u00e9is se algum coisas minhas a\u00ed eu pego", "start": 12693.36, "duration": 3.87}, {"text": "o documento voc\u00ea ficou sim com ele", "start": 12696.271, "duration": 2.37}, {"text": "debaixo do bra\u00e7o meu pai n\u00e3o nem", "start": 12697.23, "duration": 4.651}, {"text": "perguntar nada t\u00e1 a\u00ed eu vou atr\u00e1s do meu", "start": 12698.641, "duration": 5.79}, {"text": "pai assim tem alguma coisa olhar ali vem", "start": 12701.881, "duration": 5.0}, {"text": "logo atr\u00e1s da esquerda tem uma", "start": 12704.431, "duration": 5.73}, {"text": "duas gavetinhas numa esp\u00e9cie de c\u00f4moda", "start": 12706.881, "duration": 5.62}, {"text": "ali lado de um globo terrestre Ok eu", "start": 12710.161, "duration": 5.198}, {"text": "pego pela m\u00e3e fala para ela olha a\u00ed \u00f3 e", "start": 12712.501, "duration": 6.199}, {"text": "olha a\u00ed \u00f3 ele aqui voc\u00eas v\u00e3o juntos ali", "start": 12715.359, "duration": 6.401}, {"text": "seu pai n\u00e3o pode mexer t\u00f4 falando que", "start": 12718.7, "duration": 4.64}, {"text": "voc\u00ea t\u00e1 limpando", "start": 12721.76, "duration": 3.17}, {"text": "Voc\u00ea", "start": 12723.34, "duration": 6.46}, {"text": "lembra muito bem assim [\u00a0__\u00a0] Ok vai", "start": 12724.93, "duration": 7.84}, {"text": "ser como Deus \u00e9 bom vai ser um 18 e um", "start": 12729.8, "duration": 6.57}, {"text": "20 nesses dados Aqui voc\u00ea encontra isso", "start": 12732.77, "duration": 6.419}, {"text": "daqui \u00e9 um \u00e9 um dos bilhetes daquele que", "start": 12736.37, "duration": 4.38}, {"text": "voc\u00ea tinha encontrado n\u00e3o tira n\u00e3o n\u00e3o", "start": 12739.189, "duration": 5.091}, {"text": "n\u00e3o levanta \u00e9 um bilhete bastante sujo", "start": 12740.75, "duration": 6.899}, {"text": "calma a\u00ed \u00e9 voc\u00ea consegue ver s\u00f3", "start": 12744.28, "duration": 5.01}, {"text": "parcialmente ele", "start": 12747.649, "duration": 6.391}, {"text": "\u00e9 mas s\u00f3 parcialmente mesmo assim", "start": 12749.29, "duration": 8.08}, {"text": "Eu Fui espiar Na fechadura e seu", "start": 12754.04, "duration": 6.0}, {"text": "constante no picador", "start": 12757.37, "duration": 5.63}, {"text": "[Risadas]", "start": 12760.04, "duration": 5.1}, {"text": "carne fechadura que eu consentino", "start": 12763.0, "duration": 4.6}, {"text": "pintando de novo e juro que escutei", "start": 12765.14, "duration": 5.22}, {"text": "alguma alguma coisa", "start": 12767.6, "duration": 5.61}, {"text": "e atr\u00e1s de mim quando eu virei Eu juro", "start": 12770.36, "duration": 5.67}, {"text": "por Deus que vi a dona noral uma", "start": 12773.21, "duration": 4.83}, {"text": "passando pelo corredor de vestido de", "start": 12776.03, "duration": 3.41}, {"text": "noiva", "start": 12778.04, "duration": 4.53}, {"text": "Enquanto isso voc\u00ea encontra isso pelo 25", "start": 12779.44, "duration": 7.06}, {"text": "dela eu vi mesmo de certeza e nunca", "start": 12782.57, "duration": 6.981}, {"text": "senti uma eu t\u00e3o fundo na coluna", "start": 12786.5, "duration": 9.71}, {"text": "Ser\u00e1 que ela est\u00e1 assombrando n\u00f3s", "start": 12789.551, "duration": 9.609}, {"text": "B\u00e1rbara voc\u00ea veja bem mais te mostra uma", "start": 12796.21, "duration": 5.11}, {"text": "caca em cima desse papel que voc\u00ea pode", "start": 12799.16, "duration": 4.891}, {"text": "tentar tirar voc\u00ea precisa de fazer um", "start": 12801.32, "duration": 8.34}, {"text": "teste agilidade com investiga\u00e7\u00e3o e", "start": 12804.051, "duration": 5.609}, {"text": "e tem que ser agilidade voc\u00ea percebe que", "start": 12810.359, "duration": 6.63}, {"text": "ela t\u00e1 que uma crian\u00e7a para n\u00e3o h\u00e1 tempo", "start": 12814.409, "duration": 4.561}, {"text": "para uma parada eu posso olhar tem que", "start": 12816.989, "duration": 5.37}, {"text": "ser tentando tirar a\u00ed t\u00e1 bem cracado T\u00f4", "start": 12818.97, "duration": 5.13}, {"text": "vendo se eu consigo tirar mas tentando", "start": 12822.359, "duration": 4.38}, {"text": "pensar num jeito de um jeito de fazer j\u00e1", "start": 12824.1, "duration": 4.939}, {"text": "que que eu tenho de tirar que voc\u00ea sabe", "start": 12826.739, "duration": 4.821}, {"text": "limpar alguma coisa", "start": 12829.039, "duration": 5.011}, {"text": "me fodeu agora a\u00ed", "start": 12831.56, "duration": 5.919}, {"text": "porque acabou com meu repente voc\u00ea pode", "start": 12834.05, "duration": 5.739}, {"text": "ter maquiagem paradas assim ao cozinho", "start": 12837.479, "duration": 4.22}, {"text": "para tirar maquiagem ou Giovanna baby", "start": 12839.789, "duration": 4.891}, {"text": "\u00e1lcool gel pronto acabou voc\u00ea vai botar", "start": 12841.699, "duration": 5.53}, {"text": "\u00e1lcool gel no papel Velho vai dizer vou", "start": 12844.68, "duration": 3.84}, {"text": "tentar ficar com a minha unha muito", "start": 12847.229, "duration": 4.17}, {"text": "grande bela que eu tenho Ent\u00e3o vamos", "start": 12848.52, "duration": 4.82}, {"text": "fazer isso junto \u00e9 verdade com", "start": 12851.399, "duration": 3.691}, {"text": "investiga\u00e7\u00e3o a gente pode fazer um teste", "start": 12853.34, "duration": 4.449}, {"text": "juntas para que possa auxiliar Voc\u00ea joga", "start": 12855.09, "duration": 4.439}, {"text": "o voc\u00ea vai que voc\u00ea vai dar mais um que", "start": 12857.789, "duration": 3.301}, {"text": "voc\u00ea tirar 10 horas a senhora vem depois", "start": 12859.529, "duration": 3.691}, {"text": "as unidades s\u00e3o dois a vinte ent\u00e3o 2 e", "start": 12861.09, "duration": 5.67}, {"text": "20 tentar e eu jogo tamb\u00e9m para ajudar", "start": 12863.22, "duration": 6.929}, {"text": "E a\u00ed n\u00e3o chereca \u00e9 o meu investiga\u00e7\u00e3o n\u00e9", "start": 12866.76, "duration": 6.54}, {"text": "\u00c9 17aa", "start": 12870.149, "duration": 5.101}, {"text": "Bom dia mais um copo d'\u00e1gua foi isso", "start": 12873.3, "duration": 5.429}, {"text": "aqui foi isso aqui foi 1818 Voc\u00eas", "start": 12875.25, "duration": 6.12}, {"text": "conseguem tirar essa Caraca pode tirar", "start": 12878.729, "duration": 4.531}, {"text": "descascar parar de ensino amiga embaixo", "start": 12881.37, "duration": 3.9}, {"text": "olha a\u00ed olha a\u00ed que que voc\u00ea t\u00e1 fazendo", "start": 12883.26, "duration": 4.83}, {"text": "N\u00e3o entendi aquele que legal isso nossa", "start": 12885.27, "duration": 4.589}, {"text": "mas eu destruir a\u00ed mostrar ou n\u00e3o de", "start": 12888.09, "duration": 3.78}, {"text": "novo", "start": 12889.859, "duration": 4.952}, {"text": "uma picunha voc\u00ea vai tirando que vai", "start": 12891.87, "duration": 4.2}, {"text": "vendo que voc\u00ea consegue ver ainda t\u00e1", "start": 12894.811, "duration": 2.609}, {"text": "meio suja mas d\u00e1 para levar para l\u00e1", "start": 12896.07, "duration": 2.69}, {"text": "embaixo", "start": 12897.42, "duration": 4.05}, {"text": "tamb\u00e9m deve ter visto por isso anda", "start": 12898.76, "duration": 5.41}, {"text": "pintando ela eu acho que ele sabe alguma", "start": 12901.47, "duration": 5.31}, {"text": "coisa sabe que t\u00e1 doente acho que t\u00e1", "start": 12904.17, "duration": 3.65}, {"text": "ficando", "start": 12906.78, "duration": 4.02}, {"text": "t\u00e1 ficando isolado para n\u00e3o passar para", "start": 12907.82, "duration": 5.83}, {"text": "a gente pobre Constantino tenha tinha", "start": 12910.8, "duration": 4.68}, {"text": "tudo o que queria na vida agora t\u00e1 com", "start": 12913.65, "duration": 4.38}, {"text": "aperto desse temos que ajudar de alguma", "start": 12915.48, "duration": 5.25}, {"text": "forma Olha eu tenho uma teoria mas eu", "start": 12918.03, "duration": 5.031}, {"text": "n\u00e3o sei se \u00e9 uma boa teoria", "start": 12920.73, "duration": 5.67}, {"text": "o quadro \u00e9 a mulher \u00e9 normalmente a", "start": 12923.061, "duration": 6.189}, {"text": "norauto sabe porque nova e alma \u00e9", "start": 12926.4, "duration": 4.77}, {"text": "presenciou-se", "start": 12929.25, "duration": 3.72}, {"text": "e olha que eu achei aqui que eu achei", "start": 12931.17, "duration": 5.36}, {"text": "assim eu achei a certid\u00e3o de \u00f3bito", "start": 12932.97, "duration": 5.96}, {"text": "Eu acho que", "start": 12936.53, "duration": 5.61}, {"text": "eu vi para", "start": 12938.93, "duration": 3.21}, {"text": "algu\u00e9m eu ainda n\u00e3o mulher agora \u00e9", "start": 12943.61, "duration": 4.98}, {"text": "[Risadas]", "start": 12948.97, "duration": 4.29}, {"text": "e eu vou eu t\u00f4 em baixinho mas eu vou", "start": 12953.76, "duration": 4.4}, {"text": "ler com a voz normal sabe ler", "start": 12956.04, "duration": 4.55}, {"text": "\u00c9 mas n\u00e3o RPM ele t\u00e1 lindo baixinho pode", "start": 12958.16, "duration": 5.55}, {"text": "ler-se a gente fica o que na folha 139", "start": 12960.59, "duration": 6.96}, {"text": "do livro O n\u00famero 4 sobre o n\u00famero 1285", "start": 12963.71, "duration": 5.61}, {"text": "de registro de \u00f3bitos com seu nome de", "start": 12967.55, "duration": 3.29}, {"text": "n\u00e3o-real Morretes", "start": 12969.32, "duration": 4.43}, {"text": "por isso ela morreu morreu", "start": 12970.84, "duration": 8.86}, {"text": "falecida em Quatorze de outubro de 1964", "start": 12973.75, "duration": 5.95}, {"text": "e em local", "start": 12980.35, "duration": 5.53}, {"text": "e na ilha de ti [\u00a0__\u00a0] Esp\u00edrito Santo", "start": 12982.43, "duration": 6.36}, {"text": "Brasil do sexo feminino de cor branca de", "start": 12985.88, "duration": 6.08}, {"text": "posi\u00e7\u00e3o explorador a historiadora", "start": 12988.79, "duration": 6.689}, {"text": "tinha alguma coisa de fam\u00edlia seres", "start": 12991.96, "duration": 6.34}, {"text": "provador quando voc\u00ea leva e n\u00e3o cheio", "start": 12995.479, "duration": 5.851}, {"text": "mas voc\u00ea falou 60 a\u00ed quatro aquele", "start": 12998.3, "duration": 6.389}, {"text": "jornal que n\u00e3o encontra era de 58 em Eu", "start": 13001.33, "duration": 5.85}, {"text": "vi algum documento de 64 agora tem que", "start": 13004.689, "duration": 3.731}, {"text": "lembrar qual \u00e9", "start": 13007.18, "duration": 4.39}, {"text": "e \u00e9 onde \u00e9 que eu estava me respondendo", "start": 13008.42, "duration": 6.11}, {"text": "tem me perdi todinha", "start": 13011.57, "duration": 5.76}, {"text": "natural de Florian\u00f3polis Estado de Santa", "start": 13014.53, "duration": 5.08}, {"text": "Catarina Brasil residente em Ilha de ti", "start": 13017.33, "duration": 5.76}, {"text": "[\u00a0__\u00a0] com 35 anos de idade e estado", "start": 13019.61, "duration": 7.05}, {"text": "civil casada e sendo filha deixou Josu\u00e9", "start": 13023.09, "duration": 8.37}, {"text": "de Andrade rizzini Gere e dona F\u00e1tima de", "start": 13026.66, "duration": 7.62}, {"text": "Lourdes Santino o atestado de \u00f3bito foi", "start": 13031.46, "duration": 7.15}, {"text": "assinada por Doutor hamartina Island", "start": 13034.28, "duration": 7.42}, {"text": "bom e que deu como causa de morte queda", "start": 13038.61, "duration": 6.12}, {"text": "acidental de grande altura que resultou", "start": 13041.7, "duration": 5.55}, {"text": "em fratura exposta do f\u00eamur rompimento", "start": 13044.73, "duration": 4.02}, {"text": "de \u00f3rg\u00e3os internos e poss\u00edvel", "start": 13047.25, "duration": 4.351}, {"text": "traumatismo craniano o sepultamento foi", "start": 13048.75, "duration": 4.71}, {"text": "realizado no cemit\u00e9rio e o da Ilha de", "start": 13051.601, "duration": 3.929}, {"text": "tipo Hum Tem que seguir o que a gente", "start": 13053.46, "duration": 4.02}, {"text": "vai ter que ir l\u00e1 \u00e9 a pessoa morre aqui", "start": 13055.53, "duration": 3.75}, {"text": "tamb\u00e9m n\u00e9 Ah mas eu achava que voc\u00ea", "start": 13057.48, "duration": 3.05}, {"text": "jogava no mar", "start": 13059.28, "duration": 6.361}, {"text": "tipo o filme sobre um filme Amelie t\u00e1", "start": 13060.53, "duration": 7.71}, {"text": "tendo Jo\u00e3o que as pessoas no mar", "start": 13065.641, "duration": 5.46}, {"text": "\u00e9poca que as pessoas andavam de a gente", "start": 13068.24, "duration": 5.41}, {"text": "come os peixes que est\u00e3o no mar vai", "start": 13071.101, "duration": 5.399}, {"text": "jogar uns corpo morto onde n\u00f3s pesca os", "start": 13073.65, "duration": 4.71}, {"text": "peixes agora voc\u00ea tem um pin voc\u00ea vai", "start": 13076.5, "duration": 5.28}, {"text": "comer peixe essa noite a verdade faz", "start": 13078.36, "duration": 5.491}, {"text": "sentido observa\u00e7\u00f5es o corpo foi", "start": 13081.78, "duration": 5.43}, {"text": "resgatado pelos funcion\u00e1rios da mans\u00e3o o", "start": 13083.851, "duration": 5.969}, {"text": "referido \u00c9 verdade e dou f\u00e9 e com ela", "start": 13087.21, "duration": 4.641}, {"text": "morreu mesmo porque tem um reggae", "start": 13089.82, "duration": 5.731}, {"text": "Quinze de Outubro com de 1964 oficial", "start": 13091.851, "duration": 5.859}, {"text": "respons\u00e1vel", "start": 13095.551, "duration": 4.678}, {"text": "e o ambiente come\u00e7a a escurecer t\u00e1", "start": 13097.71, "duration": 6.57}, {"text": "anoitecendo voc\u00eas dois acabaram de", "start": 13100.229, "duration": 6.991}, {"text": "chegar de novo na mans\u00e3o voc\u00eas passaram", "start": 13104.28, "duration": 4.86}, {"text": "pela Floresta como tava escurecendo na", "start": 13107.22, "duration": 5.16}, {"text": "metade do caminho voc\u00eas ligaram a qual", "start": 13109.14, "duration": 4.62}, {"text": "de dois por causa dos dois est\u00e1 com", "start": 13112.38, "duration": 4.26}, {"text": "avi\u00e3o s\u00f3 para saber eu eu tava t\u00e1 deixa", "start": 13113.76, "duration": 5.13}, {"text": "eu colocar voc\u00eas entrando a enquanto", "start": 13116.64, "duration": 5.22}, {"text": "voc\u00ea est\u00e1 N\u00e3o resolvem o olivieri e o", "start": 13118.89, "duration": 3.95}, {"text": "milo", "start": 13121.86, "duration": 3.6}, {"text": "abrindo a porta da mans\u00e3o para entrar", "start": 13122.84, "duration": 5.08}, {"text": "nela mais uma vez que pegar voc\u00eas dois", "start": 13125.46, "duration": 6.15}, {"text": "colocar aqui n\u00e3o tinha o milo e o Ol\u00edvia", "start": 13127.92, "duration": 7.25}, {"text": "t\u00e1 procurando documento 64", "start": 13131.61, "duration": 4.78}, {"text": "E a\u00ed", "start": 13135.17, "duration": 1.989}, {"text": "Oi", "start": 13136.39, "duration": 2.48}, {"text": "t\u00e1 l\u00e1", "start": 13137.159, "duration": 4.481}, {"text": "o amigo est\u00e1 bem escuro e a m\u00e3e est\u00e3o", "start": 13138.87, "duration": 6.699}, {"text": "n\u00e3o tem luz natural ent\u00e3o a t\u00e1 ficando", "start": 13141.64, "duration": 5.639}, {"text": "bem escuro mesmo voc\u00ea tava voc\u00ea tava", "start": 13145.569, "duration": 3.42}, {"text": "come\u00e7ando a ler isso mas a ter mais", "start": 13147.279, "duration": 5.0}, {"text": "dificuldade para ler os documentos", "start": 13148.989, "duration": 5.551}, {"text": "voc\u00ea dois chegam \u00e0 mans\u00e3o que que voc\u00eas", "start": 13152.279, "duration": 5.5}, {"text": "fazem oque \u00e9 eu depois do evento j\u00e1 n\u00e3o", "start": 13154.54, "duration": 5.1}, {"text": "t\u00f4 t\u00e3o animada quando eu tava eu escuto", "start": 13157.779, "duration": 5.79}, {"text": "mais baixo mais baqueado t\u00f4 mais direto", "start": 13159.64, "duration": 5.48}, {"text": "e fala", "start": 13163.569, "duration": 3.83}, {"text": "entrega l\u00e1 com a sua m\u00e3e", "start": 13165.12, "duration": 5.26}, {"text": "os bichos e Ent\u00e3o vai fazer o jantar t\u00e1", "start": 13167.399, "duration": 4.51}, {"text": "eu vou l\u00e1 mas eu acho que o talvez", "start": 13170.38, "duration": 3.359}, {"text": "preciso da luz pode me acompanhe Claro", "start": 13171.909, "duration": 4.051}, {"text": "Claro desculpa escuro agora vou claro \u00e9", "start": 13173.739, "duration": 3.811}, {"text": "s\u00f3 s\u00f3 n\u00e3o fala para B\u00e1rbara que Eu", "start": 13175.96, "duration": 3.42}, {"text": "soquei o Pedrinho ent\u00e3o ela vai dar n\u00e3o", "start": 13177.55, "duration": 3.33}, {"text": "porque estamos a falar da eu t\u00f4 com voc\u00ea", "start": 13179.38, "duration": 4.769}, {"text": "t\u00e1 vamos l\u00e1 ent\u00e3o fica claro que sair", "start": 13180.88, "duration": 5.21}, {"text": "dessa galera aqui embaixo n\u00e9 n\u00e3o foi a", "start": 13184.149, "duration": 4.741}, {"text": "voc\u00eas escuta um barulho de algu\u00e9m", "start": 13186.09, "duration": 4.649}, {"text": "fazendo algo na cozinha", "start": 13188.89, "duration": 5.13}, {"text": "Ela deve t\u00e1 l\u00e1 v\u00e3o para l\u00e1 segue", "start": 13190.739, "duration": 5.29}, {"text": "parafusinho voc\u00eas v\u00e3o at\u00e9 a cozinha e", "start": 13194.02, "duration": 4.929}, {"text": "voc\u00eas e a Angelina t\u00e1 com Lampi\u00e3o em", "start": 13196.029, "duration": 6.43}, {"text": "cima da mesa iluminando e voc\u00eas chegam", "start": 13198.949, "duration": 5.04}, {"text": "ela ela est\u00e1 te preparando ela t\u00e1", "start": 13202.459, "duration": 4.261}, {"text": "falando do pratos panelas e coisas Ah", "start": 13203.989, "duration": 5.13}, {"text": "meninas voltaram conseguiram pegar o que", "start": 13206.72, "duration": 3.989}, {"text": "a gente precisava conseguir vou", "start": 13209.119, "duration": 2.601}, {"text": "conseguir", "start": 13210.709, "duration": 3.03}, {"text": "eu s\u00f3 acho que s\u00f3 para dar fica no", "start": 13211.72, "duration": 3.58}, {"text": "escuro nesse lugar pelo amor de Deus", "start": 13213.739, "duration": 3.21}, {"text": "achei essa e pelo menos essa lamparina", "start": 13215.3, "duration": 3.569}, {"text": "aqui para iluminar Como \u00e9 que v\u00e3o ficar", "start": 13216.949, "duration": 2.941}, {"text": "como \u00e9 que vai no banheiro de noite", "start": 13218.869, "duration": 2.96}, {"text": "nesse lugar pelo amor de Deus", "start": 13219.89, "duration": 4.439}, {"text": "eu tenho uma opini\u00e3o aqui vai depois eu", "start": 13221.829, "duration": 5.471}, {"text": "acho bom voc\u00eas arrumarem tem que ver", "start": 13224.329, "duration": 4.351}, {"text": "quantos que tem l\u00e1 para a gente para", "start": 13227.3, "duration": 3.51}, {"text": "nunca ficar sem talvez deixar em algum", "start": 13228.68, "duration": 4.29}, {"text": "lugar ou Lampi\u00e3o ou sempre bom que voc\u00ea", "start": 13230.81, "duration": 3.57}, {"text": "tem uma nen\u00e9m dupla j\u00e1 n\u00e9 Cad\u00ea as", "start": 13232.97, "duration": 4.199}, {"text": "meninas e voc\u00ea vai a gente chegou aqui", "start": 13234.38, "duration": 5.369}, {"text": "agora tem que ter uma pro meu quarto ou", "start": 13237.169, "duration": 5.19}, {"text": "n\u00e3o vai ficar escuro n\u00e9 n\u00e3o tem o meu", "start": 13239.749, "duration": 5.341}, {"text": "tenho de voc\u00eas Cad\u00ea aquele que o", "start": 13242.359, "duration": 4.731}, {"text": "Barqueiro deu", "start": 13245.09, "duration": 6.26}, {"text": "e ficou com a Am\u00e9lia ele \u00e9 t\u00e1 com a", "start": 13247.09, "duration": 7.29}, {"text": "Militar mas eu n\u00e3o sei disso t\u00e1 ok bom", "start": 13251.35, "duration": 5.94}, {"text": "dessa com as meninas ent\u00e3o \u00e9 \u00e9 isso n\u00e9", "start": 13254.38, "duration": 5.13}, {"text": "vamos ver gente que tem tem tr\u00eas depois", "start": 13257.29, "duration": 4.88}, {"text": "procurar ver se achar mais algum \u00e9 isso", "start": 13259.51, "duration": 5.929}, {"text": "eu posso ir na", "start": 13262.17, "duration": 7.059}, {"text": "cabana na casa da B\u00e1rbara que ela falou", "start": 13265.439, "duration": 6.161}, {"text": "para pegar os a caixa de tempero \u00e9", "start": 13269.229, "duration": 4.621}, {"text": "clar\u00e3o menino pelo amor de Deus porque", "start": 13271.6, "duration": 3.78}, {"text": "que n\u00e3o ia poder eu n\u00e3o mando em voc\u00ea", "start": 13273.85, "duration": 5.0}, {"text": "tem que perguntar para ela n\u00e9", "start": 13275.38, "duration": 6.51}, {"text": "Eu vou l\u00e1 em cima da mesa a\u00ed eu t\u00f4", "start": 13278.85, "duration": 5.29}, {"text": "conhecendo tamb\u00e9m na minha m\u00e3o eu n\u00e3o", "start": 13281.89, "duration": 3.839}, {"text": "sei como \u00e9 que deixa eu ver isso a\u00ed o", "start": 13284.14, "duration": 6.37}, {"text": "Lima J\u00f3 E ai nossa que feio eu acho que", "start": 13285.729, "duration": 7.301}, {"text": "quer dizer que lindo que este n\u00e3o Que", "start": 13290.51, "duration": 5.03}, {"text": "lindo peixe n\u00e3o vai ficar uma del\u00edcia", "start": 13293.03, "duration": 7.05}, {"text": "\u00f4 m\u00e3e precisar n\u00e3o colocar cebola o", "start": 13295.54, "duration": 6.49}, {"text": "autom\u00e1tico tivermos ele tem a\u00ed vai se", "start": 13300.08, "duration": 4.17}, {"text": "der nada de verdinho assim por favor t\u00e1", "start": 13302.03, "duration": 4.17}, {"text": "a\u00ed Oliveira eu sei A\u00ed n\u00e3o vai pegar a", "start": 13304.25, "duration": 4.23}, {"text": "batata frita tamb\u00e9m tem azeite a\u00ed pelo", "start": 13306.2, "duration": 5.85}, {"text": "menos t\u00e1 junto voc\u00ea n\u00e3o tenha Leto tem a", "start": 13308.48, "duration": 5.43}, {"text": "ver trabalho vai ver se vai de peixe e", "start": 13312.05, "duration": 3.99}, {"text": "batata frita pode ser feito ent\u00e3o a", "start": 13313.91, "duration": 4.08}, {"text": "gente s\u00f3 vai ali pegar os inteiros e", "start": 13316.04, "duration": 4.14}, {"text": "para ficar 40 minutinhos e ele deve t\u00e1", "start": 13317.99, "duration": 3.861}, {"text": "tudo pronto aqui chama", "start": 13320.18, "duration": 3.98}, {"text": "chama o teu pai depois", "start": 13321.851, "duration": 4.259}, {"text": "aqui t\u00e1", "start": 13324.16, "duration": 5.32}, {"text": "sim o teu pai procura a\u00ed para ele por a\u00ed", "start": 13326.11, "duration": 5.411}, {"text": "depois a\u00ed v\u00e3o achar as meninas avisa que", "start": 13329.48, "duration": 4.831}, {"text": "que que vai ficar pronta com\u00ea daqui a", "start": 13331.521, "duration": 5.639}, {"text": "pouquinho t\u00e1 o mal resolvido vamos voc\u00ea", "start": 13334.311, "duration": 5.159}, {"text": "quer encontrar seu irm\u00e3o ou fica mexendo", "start": 13337.16, "duration": 4.35}, {"text": "que ela t\u00e1 n\u00e9 ent\u00e3o vamos como ela deve", "start": 13339.47, "duration": 4.08}, {"text": "Sagrada t\u00e3o quarto que baixo onde eu", "start": 13341.51, "duration": 6.34}, {"text": "tava bem ruim mas eu n\u00e3o e Geralmente eu", "start": 13343.55, "duration": 6.28}, {"text": "n\u00e3o sei que eu quero falar com a m\u00e3e da", "start": 13347.85, "duration": 4.44}, {"text": "B\u00e1rbara acho que eu vou falar que eu", "start": 13349.83, "duration": 5.43}, {"text": "esqueci Rio quero falar com ela tem um", "start": 13352.29, "duration": 4.319}, {"text": "pouco de medo dela a\u00ed se voc\u00ea \u00e9 um dia", "start": 13355.26, "duration": 3.75}, {"text": "conhecer voc\u00ea vai entender t\u00e1 bom vamos", "start": 13356.609, "duration": 3.571}, {"text": "procurar ela gente vai subir ent\u00e3o", "start": 13359.01, "duration": 2.55}, {"text": "conseguindo andar para ver se voc\u00eas", "start": 13360.18, "duration": 3.87}, {"text": "voltam para o principal e nesse tempo", "start": 13361.56, "duration": 3.929}, {"text": "estava conversando o qu\u00ea que voc\u00eas duas", "start": 13364.05, "duration": 3.12}, {"text": "fizeram a gente ouviu que a porta", "start": 13365.489, "duration": 3.481}, {"text": "principal Abril sem voc\u00eas ouvirem", "start": 13367.17, "duration": 3.239}, {"text": "ouviram os meninos conversando indo para", "start": 13368.97, "duration": 3.591}, {"text": "cozinha E a\u00ed", "start": 13370.409, "duration": 4.281}, {"text": "Ah t\u00e1 bem ent\u00e3o voc\u00ea fica bem escura eu", "start": 13372.561, "duration": 5.429}, {"text": "n\u00e3o consegue se enxergar ai a\u00ed pera a\u00ed a", "start": 13374.69, "duration": 5.991}, {"text": "lanterna l\u00e1", "start": 13377.99, "duration": 2.691}, {"text": "nada da Periferia seu filho da [\u00a0__\u00a0]", "start": 13381.07, "duration": 7.451}, {"text": "filha filha da [\u00a0__\u00a0] seu filho ela voc\u00ea", "start": 13385.15, "duration": 6.731}, {"text": "at\u00e9 tipo ela liga por alguns segundinhos", "start": 13388.521, "duration": 6.75}, {"text": "E a\u00ed ela fica fraquinha e apaga e o", "start": 13391.881, "duration": 6.75}, {"text": "Lampi\u00e3o voc\u00ea tem um papel voc\u00ea ent\u00e3o", "start": 13395.271, "duration": 4.82}, {"text": "voc\u00ea curtiu", "start": 13398.631, "duration": 6.319}, {"text": "Vai dar problema tamb\u00e9m n\u00e3o", "start": 13400.091, "duration": 4.859}, {"text": "acabou de se conhecer mas n\u00e3o conta", "start": 13406.271, "duration": 6.719}, {"text": "desse papel", "start": 13409.82, "duration": 3.17}, {"text": "embaixo da mesa a\u00ed bota um Lampi\u00e3o em", "start": 13419.95, "duration": 6.12}, {"text": "cima da mesa dele tamb\u00e9m o que o milo", "start": 13423.08, "duration": 5.33}, {"text": "ele j\u00e1 tem problema bastante eu vou", "start": 13426.07, "duration": 3.68}, {"text": "levar isso aqui direto para o pai dele", "start": 13428.41, "duration": 4.77}, {"text": "Olha s\u00f3 vamos a gente pode falar mas a", "start": 13429.75, "duration": 6.58}, {"text": "gente n\u00e3o fala tudo se voc\u00ea quiser se", "start": 13433.18, "duration": 4.5}, {"text": "voc\u00ea n\u00e3o quiser falar nada a gente n\u00e3o", "start": 13436.33, "duration": 3.569}, {"text": "fala nada por causa seria nossos nosso", "start": 13437.68, "duration": 4.85}, {"text": "segredinho que a gente \u00e9 amiga", "start": 13439.899, "duration": 6.351}, {"text": "eu fico amor eu", "start": 13442.53, "duration": 3.72}, {"text": "acho que eles v\u00e3o gostar de saber as", "start": 13446.85, "duration": 4.33}, {"text": "fofocas que a gente encontrou aqui n\u00e9", "start": 13449.47, "duration": 6.15}, {"text": "conta com ele mas essa n\u00e3o \u00e9 isso a", "start": 13451.18, "duration": 6.27}, {"text": "gente mostrar o documento que fala", "start": 13455.62, "duration": 4.859}, {"text": "mostra as pessoas da fam\u00edlia do Camilo", "start": 13457.45, "duration": 6.33}, {"text": "inspira uma d\u00favida inclusive mas ou", "start": 13460.479, "duration": 5.161}, {"text": "ainda tem uns lugar para olhar voc\u00ea quer", "start": 13463.78, "duration": 3.54}, {"text": "olhar com eles vai ver que eu t\u00f4 toda", "start": 13465.64, "duration": 3.63}, {"text": "arrepiada toda cagada toda fudida t\u00f4", "start": 13467.32, "duration": 4.32}, {"text": "desgra\u00e7ada toda arrega\u00e7ada toda polu\u00edda", "start": 13469.27, "duration": 4.8}, {"text": "toda desgra\u00e7ada porque voc\u00eas escutam", "start": 13471.64, "duration": 5.27}, {"text": "isso no entanto ao perceber", "start": 13474.07, "duration": 5.42}, {"text": "n\u00e9 voc\u00ea voltar", "start": 13476.91, "duration": 7.09}, {"text": "como escutar aqui", "start": 13479.49, "duration": 4.51}, {"text": "\u00e9 porque servem", "start": 13484.609, "duration": 6.06}, {"text": "comida porque os funcion\u00e1rios deixaram", "start": 13487.629, "duration": 5.801}, {"text": "carro e tr\u00eas aqui viu T\u00e1 defunto e a", "start": 13490.669, "duration": 5.31}, {"text": "gente descobriu que \u00e9 de ponta morrer", "start": 13493.43, "duration": 3.649}, {"text": "igual na sala", "start": 13495.979, "duration": 3.951}, {"text": "desse neg\u00f3cio de fantasma", "start": 13497.079, "duration": 5.891}, {"text": "chegando com a campe\u00e3o dele tamb\u00e9m que", "start": 13499.93, "duration": 5.489}, {"text": "hoje a\u00ed tudo bem oi", "start": 13502.97, "duration": 4.309}, {"text": "maninho", "start": 13505.419, "duration": 4.86}, {"text": "fofo", "start": 13507.279, "duration": 3.0}, {"text": "ent\u00e3o a daqui a pouco vai estar pronto o", "start": 13511.51, "duration": 5.319}, {"text": "nosso jantar ent\u00e3o aqui tamb\u00e9m e que", "start": 13514.31, "duration": 6.12}, {"text": "est\u00e3o fazendo aqui fofoca Fofoca voc\u00ea", "start": 13516.829, "duration": 6.57}, {"text": "n\u00e3o vai acreditar a gente tem o contato", "start": 13520.43, "duration": 4.71}, {"text": "de voc\u00eas coisas coisas que a gente", "start": 13523.399, "duration": 3.781}, {"text": "descobriu que pelo amor de deus eu", "start": 13525.14, "duration": 4.019}, {"text": "Desculpa eu estou trabalhando Voc\u00eas", "start": 13527.18, "duration": 4.83}, {"text": "podem sair do escrito por favor Claro", "start": 13529.159, "duration": 7.311}, {"text": "claro a m\u00e3e passa o i\u00ea-i\u00ea-i\u00ea", "start": 13532.01, "duration": 7.83}, {"text": "minutinhos e eu terminar de olhar aqui", "start": 13536.47, "duration": 4.8}, {"text": "da pode ser", "start": 13539.84, "duration": 4.78}, {"text": "garotas vamos l\u00e1 na cozinha como \u00e9", "start": 13541.27, "duration": 4.51}, {"text": "o", "start": 13544.62, "duration": 3.96}, {"text": "que come a comida \u00e9 uma m\u00e3e aprontou", "start": 13545.78, "duration": 5.4}, {"text": "Quem pegou a chave ent\u00e3o aquela chave", "start": 13548.58, "duration": 6.09}, {"text": "voc\u00ea t\u00e1 D\u00e1 um teste de investiga\u00e7\u00e3o de", "start": 13551.18, "duration": 8.61}, {"text": "percep\u00e7\u00e3o sobre leque intelecto n\u00e3o tem", "start": 13554.67, "duration": 5.12}, {"text": "quatro Ok Isso \u00e9 uma chave que n\u00e3o sabe", "start": 13560.78, "duration": 5.34}, {"text": "onde vai t\u00e1", "start": 13563.37, "duration": 5.61}, {"text": "ela t\u00e1 puxando voc\u00eas para fora e eu vou", "start": 13566.12, "duration": 7.89}, {"text": "meio que ficar l\u00e1 dentro Eu quero falar", "start": 13568.98, "duration": 5.03}, {"text": "para ela que eu tava segurando a", "start": 13576.38, "duration": 6.75}, {"text": "gente n\u00e3o perde", "start": 13580.22, "duration": 6.631}, {"text": "trocar aqui pronto", "start": 13583.13, "duration": 3.721}, {"text": "ela conta como peso um coment\u00e1rio a", "start": 13588.351, "duration": 6.729}, {"text": "chave conta com peso zero Lampi\u00e3o conta", "start": 13592.8, "duration": 6.04}, {"text": "com peso um t\u00e1 ok \u00e9", "start": 13595.08, "duration": 7.96}, {"text": "e a ali puxou eles para fora e eu fiquei", "start": 13598.84, "duration": 6.66}, {"text": "ali meio de cantora para ver se faltou", "start": 13603.04, "duration": 4.17}, {"text": "algum lugar para dar uma olhada d\u00e1 uma", "start": 13605.5, "duration": 4.29}, {"text": "\u00faltima investiga\u00e7\u00e3o para mim ent\u00e3o por", "start": 13607.21, "duration": 4.91}, {"text": "favor por favor", "start": 13609.79, "duration": 6.63}, {"text": "sempre assim voc\u00ea n\u00e3o encontra nas d\u00e1", "start": 13612.12, "duration": 7.21}, {"text": "uma olhada assim e o montei olhar para", "start": 13616.42, "duration": 4.28}, {"text": "voc\u00ea", "start": 13619.33, "duration": 5.21}, {"text": "aprendeu alguma coisa j\u00e1 j\u00e1 t\u00f4 saindo j\u00e1", "start": 13620.7, "duration": 5.67}, {"text": "Ok", "start": 13624.54, "duration": 4.3}, {"text": "eu preciso me concentrar o que o chamado", "start": 13626.37, "duration": 4.64}, {"text": "para isso \u00e9", "start": 13628.84, "duration": 6.939}, {"text": "e \u00e9 voc\u00ea sabe se esse aqui \u00e9 o pintor e", "start": 13631.01, "duration": 9.11}, {"text": "eu mostro para ele isso aqui \u00e9 isso", "start": 13635.779, "duration": 4.341}, {"text": "ele \u00e9 uma Tira", "start": 13640.54, "duration": 6.42}, {"text": "uma foto real do", "start": 13643.18, "duration": 3.78}, {"text": "carro ele e sua esposa e o haruma o nome", "start": 13646.99, "duration": 6.88}, {"text": "da esposa do Rafa assim ele se mudou", "start": 13651.2, "duration": 4.59}, {"text": "para com ela porque essa manuten\u00e7\u00e3o por", "start": 13653.87, "duration": 2.81}, {"text": "esse que", "start": 13655.79, "duration": 4.02}, {"text": "ele deixou alugou dizendo que tinha", "start": 13656.68, "duration": 5.049}, {"text": "encontrado o amor da sua vida a\u00ed bem o", "start": 13659.81, "duration": 4.169}, {"text": "construir essa mans\u00e3o ai vem para c\u00e1", "start": 13661.729, "duration": 5.281}, {"text": "depois conheceu ela l\u00e1 corretamente e", "start": 13663.979, "duration": 5.051}, {"text": "que que aconteceu com ela", "start": 13667.01, "duration": 4.15}, {"text": "e eu n\u00e3o sei Eles vieram para c\u00e1 e nunca", "start": 13669.03, "duration": 4.731}, {"text": "mais se teve not\u00edcias dos dois", "start": 13671.16, "duration": 5.611}, {"text": "bom o senhor quer ficar com esse com", "start": 13673.761, "duration": 4.289}, {"text": "essa", "start": 13676.771, "duration": 4.919}, {"text": "tudo bem a\u00ed eu tava eu tava logo aqui em", "start": 13678.05, "duration": 6.1}, {"text": "cima da mesa por favor t\u00f4 indo ent\u00e3o viu", "start": 13681.69, "duration": 3.781}, {"text": "foi um prazer conhecer o senhor gente", "start": 13684.15, "duration": 3.96}, {"text": "janta daqui a pouco a\u00ed mas um prazer viu", "start": 13685.471, "duration": 5.67}, {"text": "eu t\u00f4 Avisa a Angelina que eu t\u00f4 sem", "start": 13688.11, "duration": 3.92}, {"text": "fome", "start": 13691.141, "duration": 5.939}, {"text": "n\u00e3o vou embora perfeito voc\u00eas voc\u00eas", "start": 13692.03, "duration": 6.46}, {"text": "quatro se encontram de novo mas o", "start": 13697.08, "duration": 5.0}, {"text": "principal e que voc\u00eas fazem", "start": 13698.49, "duration": 7.2}, {"text": "o qu\u00ea que descobriu o eu mostrei aquela", "start": 13702.08, "duration": 5.92}, {"text": "foto l\u00e1 para o seu pai ele ficou com a", "start": 13705.69, "duration": 6.27}, {"text": "foto mas ele falou que \u00e9 o pintor EA", "start": 13708.0, "duration": 7.29}, {"text": "mulher \u00e9 Anor alma n\u00e3o desse jeito t\u00e1", "start": 13711.96, "duration": 4.971}, {"text": "bom Por favor", "start": 13715.29, "duration": 5.42}, {"text": "confirma s\u00e9rie A", "start": 13716.931, "duration": 3.779}, {"text": "o", "start": 13724.33, "duration": 5.01}, {"text": "impacto Quem morreu morreu morreu a", "start": 13724.95, "duration": 6.571}, {"text": "gente n\u00e3o deve empurrar", "start": 13729.34, "duration": 5.88}, {"text": "voc\u00ea a gente come\u00e7ou a olhar os pais", "start": 13731.521, "duration": 6.069}, {"text": "Abrir gaveta da arm\u00e1rio e tal tem um", "start": 13735.22, "duration": 5.79}, {"text": "monte de coisa da Casa do Pintor e tal e", "start": 13737.59, "duration": 5.49}, {"text": "a\u00ed tem os bilhetinhos a\u00ed eu pego um", "start": 13741.01, "duration": 4.65}, {"text": "monte de bilhetinhos ainda n\u00e3o os", "start": 13743.08, "duration": 4.41}, {"text": "funcion\u00e1rios tava trocando o bilhetinho", "start": 13745.66, "duration": 4.23}, {"text": "entre eles e deixando as gavetas assim", "start": 13747.49, "duration": 6.049}, {"text": "bem vai a Emily falou assim", "start": 13749.89, "duration": 6.169}, {"text": "bom e os funcion\u00e1rios viram a mulher", "start": 13753.539, "duration": 6.21}, {"text": "morta e a\u00ed o pintor ele era casado com a", "start": 13756.059, "duration": 7.32}, {"text": "mo\u00e7a anorar melhor porta e a\u00ed tem uns", "start": 13759.749, "duration": 5.94}, {"text": "bilhetinho dos usar aparelho que viu", "start": 13763.379, "duration": 5.27}, {"text": "carnatal comigo aqui \u00f3", "start": 13765.689, "duration": 7.44}, {"text": "e eles falaram que viram que uma das", "start": 13768.649, "duration": 7.33}, {"text": "pessoas falou que viu o Fantasma danoral", "start": 13773.129, "duration": 6.57}, {"text": "mandando vestido de noiva noiva e e o", "start": 13775.979, "duration": 5.61}, {"text": "pintor estava trancado no Ateli\u00ea", "start": 13779.699, "duration": 4.71}, {"text": "trabalhando louco louco louco louco e a", "start": 13781.589, "duration": 4.8}, {"text": "gente achou o certificado de \u00f3bito", "start": 13784.409, "duration": 5.01}, {"text": "danoral muita coisa a\u00ed que a sua", "start": 13786.389, "duration": 4.95}, {"text": "hist\u00f3ria de terror problem\u00e1tico da Ilha", "start": 13789.419, "duration": 2.66}, {"text": "n\u00e9", "start": 13791.339, "duration": 3.09}, {"text": "mas s\u00f3 que \u00e9 bilhetinho que os funcionar", "start": 13792.079, "duration": 4.65}, {"text": "\u00e9 preciso daquele documento \u00e9 exatamente", "start": 13794.429, "duration": 5.06}, {"text": "isso aqui \u00e9 manjado de velho de", "start": 13796.729, "duration": 6.16}, {"text": "investiga\u00e7\u00e3o Branca voc\u00ea eu todos os", "start": 13799.489, "duration": 5.91}, {"text": "documentos n\u00e3o intelecto", "start": 13802.889, "duration": 4.41}, {"text": "bilhetinhos assim que que eu botei tudo", "start": 13805.399, "duration": 3.611}, {"text": "em presen\u00e7a de erro", "start": 13807.299, "duration": 3.471}, {"text": "[Aplausos]", "start": 13809.01, "duration": 4.7}, {"text": "h\u00e1 14 aparece de velho n\u00e3o pareceu", "start": 13810.77, "duration": 6.929}, {"text": "sangue l\u00e1 ok a\u00ed \u00f3 Mas achou uma lista de", "start": 13813.71, "duration": 6.75}, {"text": "coisa tipo coisa que o cara herdou coisa", "start": 13817.699, "duration": 4.441}, {"text": "de gente que trabalhava aqui para", "start": 13820.46, "duration": 3.409}, {"text": "construir mans\u00e3o", "start": 13822.14, "duration": 5.28}, {"text": "telegrama e n\u00f3s descobriu a fofoca do", "start": 13823.869, "duration": 6.61}, {"text": "pintor foi a\u00ed ficou fazendo isso a\u00ed e a", "start": 13827.42, "duration": 5.819}, {"text": "esposa dele t\u00e1 enterrada aqui no", "start": 13830.479, "duration": 4.43}, {"text": "cemit\u00e9rio n\u00e3o", "start": 13833.239, "duration": 4.92}, {"text": "d\u00e1 para baixar mais \u00e9 aqui podia ser", "start": 13834.909, "duration": 6.49}, {"text": "Onde ela nasceu n\u00e9 ou eu tenho um", "start": 13838.159, "duration": 4.71}, {"text": "neg\u00f3cio para te perguntar com voc\u00ea", "start": 13841.399, "duration": 4.741}, {"text": "qualquer o nome do seu zatvor eu sei o", "start": 13842.869, "duration": 5.42}, {"text": "nome do neg\u00f3cio ent\u00e3o", "start": 13846.14, "duration": 3.979}, {"text": "eu", "start": 13848.289, "duration": 5.5}, {"text": "meu pai nunca me falou sobre o que quer", "start": 13850.119, "duration": 5.071}, {"text": "descobrir", "start": 13853.789, "duration": 3.562}, {"text": "o qu\u00ea Como assim descobrir como assim", "start": 13855.19, "duration": 5.13}, {"text": "Olha isso aqui bem puxo dar na m\u00e3o dela", "start": 13857.351, "duration": 6.33}, {"text": "eu conhe\u00e7o bem o castelo trabalhava de", "start": 13860.32, "duration": 6.93}, {"text": "engenheiro civil e a Z\u00e9lia Castelo", "start": 13863.681, "duration": 5.689}, {"text": "trabalhava de arquiteta", "start": 13867.25, "duration": 4.891}, {"text": "voc\u00ea j\u00e1 ouviu esses momentos antes v\u00e3o", "start": 13869.37, "duration": 5.471}, {"text": "eu s\u00f3 conhe\u00e7o basicamente nome do meu", "start": 13872.141, "duration": 8.04}, {"text": "pai mas isso \u00e9 velho ent\u00e3o n\u00e9 espera o", "start": 13874.841, "duration": 7.26}, {"text": "qu\u00ea que eu t\u00f4 porque algu\u00e9m da minha", "start": 13880.181, "duration": 4.62}, {"text": "fam\u00edlia t\u00e1 conectada com essa mans\u00e3o co", "start": 13882.101, "duration": 6.059}, {"text": "alho aqui n\u00e9 a gente ele e a\u00ed eles", "start": 13884.801, "duration": 4.649}, {"text": "pegaram as pessoas da Ilha para", "start": 13888.16, "duration": 4.38}, {"text": "trabalhar na mans\u00e3o n\u00e3o \u00e9", "start": 13889.45, "duration": 5.91}, {"text": "a crytek g\u00eanero surgiu como \u00e9 que \u00e9 h\u00e1", "start": 13892.54, "duration": 5.431}, {"text": "mais ou de qualquer coisa qualidade", "start": 13895.36, "duration": 5.85}, {"text": "voc\u00eas dois atualidades \u00e9 com ele s\u00f3 que", "start": 13897.971, "duration": 5.96}, {"text": "a i-tec intelecto", "start": 13901.21, "duration": 4.341}, {"text": "1516", "start": 13903.931, "duration": 5.559}, {"text": "1516 funciona voc\u00eas sabem \u00e9 meio de", "start": 13905.551, "duration": 6.609}, {"text": "cabe\u00e7a e aprenderam na escola que a ilha", "start": 13909.49, "duration": 6.481}, {"text": "o vilarejo surgiu porque a mostrou a m\u00e3e", "start": 13912.16, "duration": 5.311}, {"text": "s\u00f3 come\u00e7ou a ser constru\u00edda e os", "start": 13915.971, "duration": 3.0}, {"text": "trabalhadores da v\u00e3o dormir algum lugar", "start": 13917.471, "duration": 3.0}, {"text": "eles criaram barraquinhas que", "start": 13918.971, "duration": 3.3}, {"text": "eventualmente come\u00e7ar a construir", "start": 13920.471, "duration": 3.149}, {"text": "fam\u00edlias que realmente virou uma", "start": 13922.271, "duration": 3.809}, {"text": "civiliza\u00e7\u00e3o e eles cresceram aqui nessa", "start": 13923.62, "duration": 5.431}, {"text": "Ilha at\u00e9 o vilarejo e depois da mans\u00e3o \u00e0", "start": 13926.08, "duration": 5.311}, {"text": "mans\u00e3o v\u00ea o primeiro ok ent\u00e3o pensa que", "start": 13929.051, "duration": 5.069}, {"text": "eles eles vieram para c\u00e1 para construir", "start": 13931.391, "duration": 5.88}, {"text": "a mans\u00e3o pintor mas que ficaram se", "start": 13934.12, "duration": 5.07}, {"text": "algu\u00e9m da minha fam\u00edlia veio construir", "start": 13937.271, "duration": 3.919}, {"text": "avan\u00e7am como \u00e9 que hoje t\u00e1 eu meu pai", "start": 13939.19, "duration": 5.63}, {"text": "morando em frente \u00e0 praia numa casa", "start": 13941.19, "duration": 6.76}, {"text": "assim como todo o resto do Vilarejo voc\u00ea", "start": 13944.82, "duration": 4.93}, {"text": "t\u00e1 vendo aqui que tem o sobrenome da", "start": 13947.95, "duration": 4.95}, {"text": "aqui ao Zel\u00e2ndia ent\u00e3o aqui tamb\u00e9m voc\u00eas", "start": 13949.75, "duration": 5.62}, {"text": "n\u00e3o querem n\u00e3o tem dinheiro aqui tamb\u00e9m", "start": 13952.9, "duration": 7.36}, {"text": "A novidade \u00e9 voc\u00eas n\u00e3o querem \u00e9 assim um", "start": 13955.37, "duration": 9.691}, {"text": "dia que tiver dia e foi o dia e n\u00e3o der", "start": 13960.26, "duration": 8.22}, {"text": "medo e no cemit\u00e9rio assim sabe onde fica", "start": 13965.061, "duration": 7.639}, {"text": "E a gente pouco eu vou essa terra porque", "start": 13968.48, "duration": 7.31}, {"text": "\u00e9 longe aqui", "start": 13972.7, "duration": 6.91}, {"text": "no cemit\u00e9rio no cemit\u00e9rio com voc\u00ea ajuda", "start": 13975.79, "duration": 7.771}, {"text": "no cemit\u00e9rio agora \u00e9 a parte mais legal", "start": 13979.61, "duration": 7.741}, {"text": "esse a gente v\u00ea a mo\u00e7a de branco andando", "start": 13983.561, "duration": 5.979}, {"text": "pela casa n\u00e3o foi Deus que me perdoe", "start": 13987.351, "duration": 4.069}, {"text": "seja sua boca de mel que vai pagar l\u00e1", "start": 13989.54, "duration": 4.11}, {"text": "desgra\u00e7ada t\u00e1 louca t\u00e1 maluca eu vou", "start": 13991.42, "duration": 4.391}, {"text": "morrer aqui ela pelo vai condicionar", "start": 13993.65, "duration": 5.09}, {"text": "voc\u00ea consegue", "start": 13995.811, "duration": 2.929}, {"text": "andar de cima tem \u00e9 uma pintura olha na", "start": 13999.07, "duration": 7.87}, {"text": "frente do meu quarto ponto de patrulha", "start": 14003.791, "duration": 7.46}, {"text": "do um uma criatura horrenda de ferro", "start": 14006.94, "duration": 7.911}, {"text": "l\u00e1 em cima l\u00e1 em cima", "start": 14011.251, "duration": 3.6}, {"text": "portuguesa", "start": 14017.131, "duration": 6.899}, {"text": "n\u00e3o sub voc\u00ea vai sair voc\u00eas", "start": 14018.9, "duration": 5.13}, {"text": "sobem ent\u00e3o para o segundo andar de novo", "start": 14033.061, "duration": 6.94}, {"text": "e v\u00e3o at\u00e9 o quadro \u00e9 isso voc\u00eas todos", "start": 14036.011, "duration": 6.57}, {"text": "est\u00e3o na frente do quadro meu Deus do", "start": 14040.001, "duration": 4.609}, {"text": "c\u00e9u Calma a\u00ed", "start": 14042.581, "duration": 5.42}, {"text": "deixa eu botar voc\u00eas aqui perfeito sem", "start": 14044.61, "duration": 7.339}, {"text": "aqui j\u00e1 tive uma ideia", "start": 14048.001, "duration": 6.349}, {"text": "E voc\u00ea ainda tem a chave amelite voc\u00ea", "start": 14051.949, "duration": 5.64}, {"text": "n\u00e3o vou a lugar nenhum tenho \u00e9 esse a", "start": 14054.35, "duration": 5.849}, {"text": "gente tirar o quadro da parede e olhar", "start": 14057.589, "duration": 4.52}, {"text": "a\u00ed voc\u00ea tem alguma coisa", "start": 14060.199, "duration": 5.54}, {"text": "Ah t\u00e1 o com grande parece que a escola", "start": 14062.109, "duration": 5.46}, {"text": "bem grande ele \u00e9 tipo do tamanho de uma", "start": 14065.739, "duration": 4.611}, {"text": "pessoa quase ai", "start": 14067.569, "duration": 6.33}, {"text": "assim se n\u00f3s juntarem dois talvez d\u00ea", "start": 14070.35, "duration": 5.559}, {"text": "para tirar o quadro mas a gente quer", "start": 14073.899, "duration": 6.6}, {"text": "para teu pai vai ficar puto n\u00e9 Eu tenho", "start": 14075.909, "duration": 9.03}, {"text": "24 \u00e9 a m\u00fasica que eles falaram que n\u00f3s", "start": 14080.499, "duration": 8.16}, {"text": "s\u00f3 acha que \u00e9 que o pintor fazia uma", "start": 14084.939, "duration": 6.63}, {"text": "pintura da esposa dele dessa maneira", "start": 14088.659, "duration": 4.891}, {"text": "porque ela morreu tem um bilhete \u00e9 um", "start": 14091.569, "duration": 3.63}, {"text": "dos bilhetes que eu te entreguei e falou", "start": 14093.55, "duration": 3.689}, {"text": "que ele tava pintando ela o tempo todos", "start": 14095.199, "duration": 5.901}, {"text": "Olha ela morreu cedo e ela morreu", "start": 14097.239, "duration": 6.241}, {"text": "de queda", "start": 14101.1, "duration": 6.251}, {"text": "e quando ela morreu ela morreu em 1964", "start": 14103.48, "duration": 6.901}, {"text": "aqui \u00f3 Constantino tamb\u00e9m deve ter visto", "start": 14107.351, "duration": 5.129}, {"text": "ela por isso anda pintando ela acho que", "start": 14110.381, "duration": 3.63}, {"text": "ele sabe de alguma coisa ele deve ter", "start": 14112.48, "duration": 3.831}, {"text": "que t\u00e1 pintando elas", "start": 14114.011, "duration": 6.139}, {"text": "ele tinha um documento que falava assim", "start": 14116.311, "duration": 6.189}, {"text": "ele tava muito bravo com ela e ele", "start": 14120.15, "duration": 5.17}, {"text": "brigava com ela e depois sair \u00e9 s\u00f3 e", "start": 14122.5, "duration": 4.921}, {"text": "depois ele vir pedir desculpa eu falar", "start": 14125.32, "duration": 5.641}, {"text": "eu t\u00f4 meio doente Ai que tem um", "start": 14127.421, "duration": 5.069}, {"text": "documento constante n\u00e3o t\u00e1 na meio", "start": 14130.961, "duration": 3.56}, {"text": "esquisito isso ele que matou ela", "start": 14132.49, "duration": 5.73}, {"text": "empurrou ela sei l\u00e1 daquela ponta l\u00e1", "start": 14134.521, "duration": 5.619}, {"text": "Esse \u00e9 o ponto l\u00e1 para Ponta que nunca", "start": 14138.22, "duration": 3.64}, {"text": "me senti vontade para mim ali", "start": 14140.14, "duration": 4.34}, {"text": "[M\u00fasica]", "start": 14141.86, "duration": 6.241}, {"text": "a vontade \u00e0 vontade com presen\u00e7a", "start": 14144.48, "duration": 10.34}, {"text": "usa sua presen\u00e7a s\u00e3o 33 20", "start": 14148.101, "duration": 6.719}, {"text": "por favor aqui em cima", "start": 14155.301, "duration": 3.729}, {"text": "Oi", "start": 14158.141, "duration": 2.809}, {"text": "nossa bom a\u00ed", "start": 14159.03, "duration": 6.301}, {"text": "de 62 anos", "start": 14160.95, "duration": 4.381}, {"text": "1623 t\u00e1 16 a voc\u00ea sente o arrepio na", "start": 14167.041, "duration": 6.569}, {"text": "espinha", "start": 14171.521, "duration": 2.089}, {"text": "e voc\u00ea fala a\u00ed a gente n\u00e3o sei", "start": 14174.2, "duration": 7.62}, {"text": "\u00e9 isso e sim eu come\u00e7o eu venho na", "start": 14178.21, "duration": 6.55}, {"text": "bordinha do quadro eu vejo se que o nome", "start": 14181.82, "duration": 4.68}, {"text": "de captura recep\u00e7\u00e3o para mim favor", "start": 14184.76, "duration": 5.23}, {"text": "preciso ficar aqui \u00f3", "start": 14186.5, "duration": 7.061}, {"text": "15 a o que est\u00e1 buscando eu vou lavar", "start": 14189.99, "duration": 4.95}, {"text": "dia do quadro e eu tento dar uma", "start": 14193.561, "duration": 3.569}, {"text": "empurradinha n\u00e9 gente cozinha eu vejo", "start": 14194.94, "duration": 3.51}, {"text": "ele t\u00e1 pendurado pela parede por um", "start": 14197.13, "duration": 2.85}, {"text": "prego para ver se eu consigo afastar eu", "start": 14198.45, "duration": 3.691}, {"text": "for para ele tava l\u00e1 fora de voc\u00ea voc\u00ea", "start": 14199.98, "duration": 4.77}, {"text": "percebe que ele t\u00e1 com fixo na parede ao", "start": 14202.141, "duration": 3.469}, {"text": "lado", "start": 14204.75, "duration": 4.59}, {"text": "eu quero pegar pedir o Lampi\u00e3o para", "start": 14205.61, "duration": 7.89}, {"text": "B\u00e1rbara posso pegar voc\u00ea vai devolver", "start": 14209.34, "duration": 6.051}, {"text": "que", "start": 14213.5, "duration": 4.69}, {"text": "eu tava com ela n\u00e9 Sim eu quero de volta", "start": 14215.391, "duration": 7.259}, {"text": "tablet e eu quero", "start": 14218.19, "duration": 4.46}, {"text": "miniatura", "start": 14222.74, "duration": 4.72}, {"text": "eu quero dar uma iluminada para ver se", "start": 14224.84, "duration": 4.54}, {"text": "eu encontro alguma coisa na pintura da", "start": 14227.46, "duration": 4.221}, {"text": "um senso percep\u00e7\u00e3o para resolver a", "start": 14229.38, "duration": 6.48}, {"text": "quest\u00e3o \u00e9 que o intelecto a com o prelex", "start": 14231.681, "duration": 8.009}, {"text": "el\u00e9trico documento", "start": 14235.86, "duration": 3.83}, {"text": "1616 voc\u00ea vai passando e voc\u00ea percebe", "start": 14239.99, "duration": 4.811}, {"text": "algo estranho", "start": 14243.36, "duration": 5.841}, {"text": "e a essa essa moldura \u00e9 muito mais", "start": 14244.801, "duration": 8.03}, {"text": "grossa do que um quadro normal", "start": 14249.201, "duration": 7.119}, {"text": "OK a\u00ed quando voc\u00ea vai passando com mais", "start": 14252.831, "duration": 6.52}, {"text": "detalhes 16 Isso voc\u00ea v\u00ea uma pequena", "start": 14256.32, "duration": 6.66}, {"text": "fechadura do lado do quadro achava", "start": 14259.351, "duration": 5.94}, {"text": "fissura bem pequenininha chave a chave", "start": 14262.98, "duration": 4.891}, {"text": "Cad\u00ea a chave a\u00ed eu tenho que levar eu", "start": 14265.291, "duration": 5.189}, {"text": "achei uma chave aqui \u00e9 bem maior voc\u00ea", "start": 14267.871, "duration": 3.84}, {"text": "pegou a chave tu n\u00e3o tens percep\u00e7\u00e3o", "start": 14270.48, "duration": 3.02}, {"text": "cover e", "start": 14271.711, "duration": 3.768}, {"text": "com", "start": 14273.5, "duration": 4.979}, {"text": "15", "start": 14275.479, "duration": 3.0}, {"text": "1919 voc\u00ea v\u00ea que t\u00e1 que t\u00e1 que tem uma", "start": 14279.26, "duration": 5.679}, {"text": "tag Zinha bem apagada amarrada nela", "start": 14282.93, "duration": 4.38}, {"text": "Prefeito biblioteca que o B\u00edblia e a\u00ed t\u00e1", "start": 14284.939, "duration": 5.311}, {"text": "bem apagado gente t\u00e1 aqui do lado t\u00e1", "start": 14287.31, "duration": 5.55}, {"text": "escrito biblioteca no quadro a chave na", "start": 14290.25, "duration": 6.3}, {"text": "chave a chave l\u00e1 pegou t\u00e1 a\u00ed Aqui tem", "start": 14292.86, "duration": 6.72}, {"text": "essa fechadura a\u00ed tenta percebendo at\u00e9", "start": 14296.55, "duration": 4.74}, {"text": "uma fechado onde n\u00f3s a fechadura que eu", "start": 14299.58, "duration": 3.6}, {"text": "n\u00e3o prestei aten\u00e7\u00e3o perd\u00e3o t\u00e1 do lado da", "start": 14301.29, "duration": 3.56}, {"text": "moldura do quadro", "start": 14303.18, "duration": 3.679}, {"text": "e \u00e9 muito botar o quadro de novo aqui", "start": 14304.85, "duration": 3.57}, {"text": "para ela por favor para voc\u00eas verem ele", "start": 14306.859, "duration": 5.25}, {"text": "dirija barba que entrada uma porta eu", "start": 14308.42, "duration": 5.55}, {"text": "acho eu acho que sim e \u00f3leo pode com", "start": 14312.109, "duration": 3.96}, {"text": "aten\u00e7\u00e3o Ele \u00e9 meio diferente das outras", "start": 14313.97, "duration": 4.83}, {"text": "Olha a textura Olha tudo \u00e9 isso que n\u00e3o", "start": 14316.069, "duration": 4.651}, {"text": "est\u00e1 dizendo o Quando Ele pintou esse", "start": 14318.8, "duration": 4.319}, {"text": "quadro ele j\u00e1 tava Lel\u00ea j\u00e1 t\u00e1 gente", "start": 14320.72, "duration": 4.139}, {"text": "precisa achar uma chave ent\u00e3o vai entrar", "start": 14323.119, "duration": 3.36}, {"text": "aqui mas ser\u00e1 que ele pintou depois que", "start": 14324.859, "duration": 4.29}, {"text": "esposa morreu ou n\u00e3o pelo que deu", "start": 14326.479, "duration": 4.861}, {"text": "entendendo o papelzinho assim porque ela", "start": 14329.149, "duration": 4.71}, {"text": "fala que ela tava vendo o vulto da", "start": 14331.34, "duration": 4.5}, {"text": "mulher de vestida de noiva e que o", "start": 14333.859, "duration": 3.571}, {"text": "Constantino provavelmente tamb\u00e9m que n\u00e3o", "start": 14335.84, "duration": 3.21}, {"text": "parava de pintar elas provavelmente", "start": 14337.43, "duration": 3.439}, {"text": "esses dois falaram que ela que ele", "start": 14339.05, "duration": 5.429}, {"text": "pintava ela t\u00e1 escrito ent\u00e3o", "start": 14340.869, "duration": 5.74}, {"text": "provavelmente ele tava pintando ela e", "start": 14344.479, "duration": 6.0}, {"text": "ele foi da mesma forma que ela foi ou", "start": 14346.609, "duration": 5.101}, {"text": "quando ela morreu ou quando ela foi", "start": 14350.479, "duration": 4.561}, {"text": "ficando diferente ele foi rabiscando", "start": 14351.71, "duration": 5.37}, {"text": "mais e mais e mais \u00e1udio t\u00e1 aqui hoje \u00e9", "start": 14355.04, "duration": 4.92}, {"text": "o causa que ela tava contando morreu na", "start": 14357.08, "duration": 5.84}, {"text": "biblioteca antes de jantar Ah t\u00e1 damas", "start": 14359.96, "duration": 5.9}, {"text": "acho que d\u00e1 a mam\u00e3e n\u00e3o chamou ainda e", "start": 14362.92, "duration": 4.49}, {"text": "onde a biblioteca", "start": 14365.86, "duration": 3.861}, {"text": "\u00e9", "start": 14367.41, "duration": 5.08}, {"text": "preciso t\u00e1 trancado e l\u00e1 do outro lado", "start": 14369.721, "duration": 6.369}, {"text": "t\u00e1 aqui t\u00e1 trancado a essa trancada", "start": 14372.49, "duration": 6.66}, {"text": "assim mas \u00e9 n\u00e3o parece ser encaixar no", "start": 14376.09, "duration": 5.31}, {"text": "come\u00e7o tipo de chave a\u00ed eu vou dar para", "start": 14379.15, "duration": 3.89}, {"text": "colher de ch\u00e1", "start": 14381.4, "duration": 3.81}, {"text": "voc\u00eas n\u00e3o podem prote\u00e7\u00e3o de porta em", "start": 14383.04, "duration": 4.33}, {"text": "porta vai ser naquela l\u00e1 do outro lado", "start": 14385.21, "duration": 5.811}, {"text": "lado aqui j\u00e1 deve ter escutado j\u00e1", "start": 14387.37, "duration": 7.2}, {"text": "t\u00f4 testando n\u00e9 eu tenho aquela porta que", "start": 14391.021, "duration": 4.87}, {"text": "a gente viu quando ele chegou aqui o", "start": 14394.57, "duration": 2.91}, {"text": "qual constatou Abrir que era diferente", "start": 14395.891, "duration": 3.899}, {"text": "dessa texturas pode tratar e ele falou", "start": 14397.48, "duration": 4.281}, {"text": "que era um lugar bom t\u00e1 s\u00f3 rolar ent\u00e3o", "start": 14399.79, "duration": 4.41}, {"text": "perfeito voc\u00eas atravessam voc\u00eas v\u00e3o", "start": 14401.761, "duration": 4.059}, {"text": "testando uma em uma at\u00e9 chegar", "start": 14404.2, "duration": 3.901}, {"text": "eventualmente na porta Cavalcante tempo", "start": 14405.82, "duration": 6.81}, {"text": "eu abrir aqui \u00f3 n\u00f3s t\u00e1 aqui", "start": 14408.101, "duration": 7.279}, {"text": "bom e quando voc\u00ea chega voc\u00ea engata a", "start": 14412.63, "duration": 7.19}, {"text": "chave ela abre", "start": 14415.38, "duration": 4.44}, {"text": "voc\u00ea est\u00e1 aqui t\u00e1 o Nilo e Amelie com o", "start": 14420.63, "duration": 5.62}, {"text": "Lampi\u00e3o entrou na frente certo e isso", "start": 14424.18, "duration": 4.79}, {"text": "Roberto", "start": 14426.25, "duration": 2.72}, {"text": "voc\u00ea abre voc\u00ea tem que voc\u00eas n\u00e3o segundo", "start": 14429.63, "duration": 6.63}, {"text": "andar de uma biblioteca", "start": 14432.58, "duration": 3.68}, {"text": "\u00e9 bem grande Ok Voc\u00eas conseguem ver mais", "start": 14436.671, "duration": 5.55}, {"text": "ou menos a biblioteca no escuro assim", "start": 14440.811, "duration": 3.45}, {"text": "mas vamo l\u00e1 embaixo tem uma mesa que", "start": 14442.221, "duration": 6.09}, {"text": "v\u00e1rios livros e alguns pap\u00e9is jogados l\u00e1", "start": 14444.261, "duration": 6.099}, {"text": "no andar de baixo", "start": 14448.311, "duration": 5.049}, {"text": "e eu tenho eu quero ver se t\u00e1 a gente t\u00e1", "start": 14450.36, "duration": 5.191}, {"text": "tipo de uma vara uma olhadinha em cima", "start": 14453.36, "duration": 3.93}, {"text": "das estantes grandes a\u00ed voc\u00eas podem", "start": 14455.551, "duration": 3.329}, {"text": "descer a escada e para andar de baixo", "start": 14457.29, "duration": 4.851}, {"text": "agradecer aqui sim", "start": 14458.88, "duration": 3.261}, {"text": "vamos l\u00e1", "start": 14472.341, "duration": 3.239}, {"text": "vamos deixar ent\u00e3o todo mundo se voc\u00eas", "start": 14484.011, "duration": 5.409}, {"text": "quiserem todas as assim tudo bem um", "start": 14486.21, "duration": 5.67}, {"text": "teste de coletivo de investiga\u00e7\u00e3o por", "start": 14489.42, "duration": 3.65}, {"text": "favor", "start": 14491.88, "duration": 4.73}, {"text": "investiga\u00e7\u00e3o alto intelecto n\u00e9", "start": 14493.07, "duration": 7.401}, {"text": "e 16 dezesseis", "start": 14496.61, "duration": 3.861}, {"text": "dezoito cart\u00e3o 20 porque somou dos dois", "start": 14500.891, "duration": 6.12}, {"text": "a", "start": 14504.95, "duration": 3.95}, {"text": "voc\u00ea", "start": 14507.011, "duration": 5.409}, {"text": "encontra um livro aberto e tem uma", "start": 14508.9, "duration": 5.5}, {"text": "p\u00e1gina do que parece ser um caderno", "start": 14512.42, "duration": 3.659}, {"text": "dentro desse livro", "start": 14514.4, "duration": 4.079}, {"text": "Oi e um bilhetinho nele tamb\u00e9m voc\u00ea com", "start": 14516.079, "duration": 3.78}, {"text": "primeira p\u00e1gina que voc\u00ea pega a p\u00e1gina", "start": 14518.479, "duration": 4.44}, {"text": "cabritinho logo depois s\u00e3o esses dois", "start": 14519.859, "duration": 5.85}, {"text": "aqui a gente j\u00e1 t\u00e1 vendo na m\u00e3o dela j\u00e1", "start": 14522.919, "duration": 4.351}, {"text": "\u00e9 voc\u00ea vem esse espa\u00e7o de bastante", "start": 14525.709, "duration": 3.15}, {"text": "documento-base documenta\u00e7\u00e3o alguns", "start": 14527.27, "duration": 4.439}, {"text": "contratos de servi\u00e7o de trabalho mas o", "start": 14528.859, "duration": 4.17}, {"text": "que chama aten\u00e7\u00e3o \u00e9 isso deixa eu", "start": 14531.709, "duration": 4.11}, {"text": "colocar na mesa aqui eu pergunto para", "start": 14533.029, "duration": 5.781}, {"text": "calma a\u00ed \u00f3", "start": 14535.819, "duration": 2.991}, {"text": "a fantasia est\u00e1 aqui para a gente tava", "start": 14539.54, "duration": 6.41}, {"text": "certa desde o come\u00e7o", "start": 14543.17, "duration": 6.62}, {"text": "eu falei que ele mostrou", "start": 14545.95, "duration": 3.84}, {"text": "aqui t\u00e1 com t\u00e1 com os borr\u00e3o aqui os", "start": 14549.85, "duration": 4.47}, {"text": "neg\u00f3cios paga", "start": 14552.89, "duration": 4.14}, {"text": "eu vou ler com a minha voz normal para", "start": 14554.32, "duration": 5.5}, {"text": "ficar mais leg\u00edvel por favor o pintor", "start": 14557.03, "duration": 5.25}, {"text": "Assassin a noiva fantasma durante uma", "start": 14559.82, "duration": 5.9}, {"text": "noite de lua cheia em meio ao Inverno", "start": 14562.28, "duration": 7.95}, {"text": "arrebatador ocorre algo dram\u00e1tico que", "start": 14565.72, "duration": 7.14}, {"text": "mudaria a vida dos moradores de tipo ora", "start": 14570.23, "duration": 5.1}, {"text": "acontece que havia um renomado pintor", "start": 14572.86, "duration": 6.69}, {"text": "vivendo nesse lugar tudo o que estraga \u00e9", "start": 14575.33, "duration": 7.04}, {"text": "um rica\u00e7o exc\u00eantrico", "start": 14579.55, "duration": 6.85}, {"text": "que abandonou os luxos da cidade da", "start": 14582.37, "duration": 6.19}, {"text": "cidade grande para se isolar em busca de", "start": 14586.4, "duration": 5.34}, {"text": "novas inspira\u00e7\u00f5es e no lugar mais calmo", "start": 14588.56, "duration": 7.11}, {"text": "perto do mar a verdade no entanto \u00e9 que", "start": 14591.74, "duration": 6.87}, {"text": "o artista esconde algo muito maior ele", "start": 14595.67, "duration": 3.88}, {"text": "era um", "start": 14598.61, "duration": 3.4}, {"text": "em todas as suas pinturas eram feitas", "start": 14599.55, "duration": 3.95}, {"text": "com sangue", "start": 14602.01, "duration": 4.38}, {"text": "ele fugiu do continente pois a pol\u00edcia", "start": 14603.5, "duration": 5.05}, {"text": "eu procurava e seus crimes estavam", "start": 14606.39, "duration": 3.83}, {"text": "prestes a serem descobertos", "start": 14608.55, "duration": 5.4}, {"text": "mas agora isolado em uma ilha min\u00fascula", "start": 14610.22, "duration": 5.77}, {"text": "ele n\u00e3o tinha tanta facilidade para", "start": 14613.95, "duration": 4.829}, {"text": "encontrar novas v\u00edtimas", "start": 14615.99, "duration": 3.379}, {"text": "t\u00e1", "start": 14618.779, "duration": 3.42}, {"text": "descongelado come\u00e7ou enlouquecer e", "start": 14619.369, "duration": 5.351}, {"text": "finalmente tomou a decis\u00e3o mais da nossa", "start": 14622.199, "duration": 5.85}, {"text": "de sua vida sem for a vida de sua fiel", "start": 14624.72, "duration": 6.659}, {"text": "esposa de v\u00e1rios anos mas dessa vez foi", "start": 14628.049, "duration": 6.78}, {"text": "diferente a morte dela foi t\u00e3o brutal e", "start": 14631.379, "duration": 5.881}, {"text": "dolorosa que seu pr\u00f3prio esp\u00edrito Se", "start": 14634.829, "duration": 6.32}, {"text": "Revoltou contra o pintor que", "start": 14637.26, "duration": 7.349}, {"text": "sabendo disso utilizou o seu sangue para", "start": 14641.149, "duration": 6.67}, {"text": "pintar novos quadros obsessivamente e", "start": 14644.609, "duration": 6.42}, {"text": "assim de forma mais Cruel poss\u00edvel a", "start": 14647.819, "duration": 7.41}, {"text": "pobre alma de pobre alma dela ficaria", "start": 14651.029, "duration": 6.51}, {"text": "para sempre presa dentro dos quadros do", "start": 14655.229, "duration": 5.791}, {"text": "marido ela se tornou mais uma v\u00edtima da", "start": 14657.539, "duration": 6.671}, {"text": "arte bom e voc\u00ea v\u00ea esse bilhetinho", "start": 14661.02, "duration": 6.57}, {"text": "caindo meu com ela pega a p\u00e1gina", "start": 14664.21, "duration": 3.38}, {"text": "voc\u00ea tinha 18", "start": 14668.58, "duration": 4.93}, {"text": "eu tirei outro 16 Mas foi ele que tirou", "start": 14670.439, "duration": 6.21}, {"text": "quatro foi Oliver nenhum \u00e9", "start": 14673.51, "duration": 6.389}, {"text": "isso aqui tamb\u00e9m \u00f3 eu vou levar voc\u00eas eu", "start": 14676.649, "duration": 5.741}, {"text": "n\u00e3o aguento mais tem aquela coisa ali \u00e9", "start": 14679.899, "duration": 5.79}, {"text": "desconfort\u00e1vel olhar aquele maldito", "start": 14682.39, "duration": 5.37}, {"text": "quadro de noiva que est\u00e1 sempre", "start": 14685.689, "duration": 4.371}, {"text": "espreitando no canto do segundo andar", "start": 14687.76, "duration": 5.49}, {"text": "nunca tem coragem de encarar ele quando", "start": 14690.06, "duration": 5.62}, {"text": "estou sozinha nem t\u00e3o-pouco microfone", "start": 14693.25, "duration": 5.779}, {"text": "Desculpa tamb\u00e9m \u00e9 que", "start": 14695.68, "duration": 6.389}, {"text": "quando eu sou sozinha nem sei explicar o", "start": 14699.029, "duration": 7.5}, {"text": "sentimento e \u00e9 isso d\u00e1 um teste de", "start": 14702.069, "duration": 8.33}, {"text": "investiga\u00e7\u00e3o com ter\u00e1 que voc\u00eas duas", "start": 14706.529, "duration": 3.87}, {"text": "a 22", "start": 14710.99, "duration": 7.05}, {"text": "eu t\u00f4 velho voc\u00ea lembra quando quando", "start": 14713.33, "duration": 5.97}, {"text": "voc\u00ea l\u00ea Quando voc\u00ea ouvir essa frase", "start": 14718.04, "duration": 3.36}, {"text": "quando estou sozinha nem sei o que sinto", "start": 14719.3, "duration": 5.16}, {"text": "voc\u00ea lembra de algo que voc\u00ea leu na capa", "start": 14721.4, "duration": 5.42}, {"text": "do jornal", "start": 14724.46, "duration": 2.36}, {"text": "Oi m\u00e3e", "start": 14727.65, "duration": 4.499}, {"text": "quem \u00e9", "start": 14729.86, "duration": 2.999}, {"text": "e", "start": 14732.149, "duration": 2.451}, {"text": "ali", "start": 14732.859, "duration": 4.93}, {"text": "pela no primeiro par\u00e1grafo mesmo final", "start": 14734.6, "duration": 4.769}, {"text": "primeiro par\u00e1grafo", "start": 14737.789, "duration": 4.95}, {"text": "quem sabe ao certo como ou por qu\u00ea nas", "start": 14739.369, "duration": 6.311}, {"text": "suas obras tempor\u00e1rias est\u00e3o abrangendo", "start": 14742.739, "duration": 4.83}, {"text": "p\u00fablicos cada vez maiores e mais", "start": 14745.68, "duration": 3.559}, {"text": "variados", "start": 14747.569, "duration": 3.59}, {"text": "depois disso", "start": 14749.239, "duration": 4.481}, {"text": "alguns cr\u00edticos de arte afirmam que se", "start": 14751.159, "duration": 3.75}, {"text": "chama", "start": 14753.72, "duration": 4.92}, {"text": "a a vers\u00e3o impressa t\u00e1 diferente a", "start": 14754.909, "duration": 5.59}, {"text": "vers\u00e3o impressa \u00e9 diferente Voc\u00eas", "start": 14758.64, "duration": 3.689}, {"text": "conseguem voc\u00ea consegue passar para ele", "start": 14760.499, "duration": 5.49}, {"text": "ir na tela a\u00ed acho que a gente v\u00ea a", "start": 14762.329, "duration": 5.101}, {"text": "parte que falta ali p\u00f4 t\u00e1 ficando tinha", "start": 14765.989, "duration": 3.181}, {"text": "entrado em", "start": 14767.43, "duration": 4.08}, {"text": "Ah t\u00e1 virado eu consigo ler para voc\u00ea se", "start": 14769.17, "duration": 4.44}, {"text": "voc\u00ea quiser depois ver onde \u00e9 que \u00e9 a", "start": 14771.51, "duration": 6.39}, {"text": "partir daqui \u00f3 a partir de aqui por seu", "start": 14773.61, "duration": 6.41}, {"text": "estilo \u00fanico de aprecia\u00e7\u00e3o individual", "start": 14777.9, "duration": 4.92}, {"text": "onde cada quadro poderia ser visto", "start": 14780.02, "duration": 5.169}, {"text": "apenas por uma pessoa de cada vez as", "start": 14782.82, "duration": 4.38}, {"text": "filas de suas Exposi\u00e7\u00f5es est\u00e3o sempre", "start": 14785.189, "duration": 5.161}, {"text": "lotadas a isso n\u00e3o tem aqui mesmo eram", "start": 14787.2, "duration": 5.94}, {"text": "foi pe\u00e7o perd\u00e3o mas a\u00ed voc\u00ea tiver um", "start": 14790.35, "duration": 4.23}, {"text": "teste de investiga\u00e7\u00e3o descobriu que", "start": 14793.14, "duration": 3.711}, {"text": "mostra batido", "start": 14794.58, "duration": 6.351}, {"text": "a f\u00e9 T\u00e1 bom carma B\u00e1rbara volta volta", "start": 14796.851, "duration": 8.639}, {"text": "tem um jornal que n\u00e3o encontrou a", "start": 14800.931, "duration": 4.559}, {"text": "\u00e9 aquela noite", "start": 14806.06, "duration": 5.37}, {"text": "e como que a lua tava", "start": 14808.33, "duration": 5.529}, {"text": "quem \u00e9", "start": 14811.43, "duration": 4.79}, {"text": "e era cheia para", "start": 14813.859, "duration": 6.191}, {"text": "se voc\u00ea tem certeza absoluta", "start": 14816.22, "duration": 3.83}, {"text": "e eu seu esse essa eu tive um la\u00e7o do", "start": 14820.79, "duration": 5.93}, {"text": "escritor", "start": 14825.17, "duration": 5.101}, {"text": "peso spintor n\u00e3o t\u00e1 aqui h\u00e1 muito tempo", "start": 14826.72, "duration": 6.01}, {"text": "posso falar uma coisa para voc\u00eas que eu", "start": 14830.271, "duration": 3.619}, {"text": "acho", "start": 14832.73, "duration": 4.76}, {"text": "tem uma cartinha chamando", "start": 14833.89, "duration": 7.54}, {"text": "algu\u00e9m para ir no Jardim que era lua", "start": 14837.49, "duration": 5.8}, {"text": "cheia Ser\u00e1 que era ele se passando por", "start": 14841.43, "duration": 5.07}, {"text": "algu\u00e9m para matar outra pessoa calma que", "start": 14843.29, "duration": 5.61}, {"text": "voc\u00ea falou da das pe\u00e7as do guarda-roupas", "start": 14846.5, "duration": 5.1}, {"text": "e tudo mais um jornal antes falando do", "start": 14848.9, "duration": 4.83}, {"text": "pintor e ele faz tipo ele fazia umas", "start": 14851.6, "duration": 4.83}, {"text": "obras que ele nem ele nem cobrava as", "start": 14853.73, "duration": 5.1}, {"text": "obras ele dava as obras assim ele falava", "start": 14856.43, "duration": 5.04}, {"text": "que \u00e9 meu sentimento Acabei de fazer as", "start": 14858.83, "duration": 5.16}, {"text": "obras para sentimento fosse Genu\u00edno ele", "start": 14861.47, "duration": 5.64}, {"text": "fazia a gente encontrou um bilhete que", "start": 14863.99, "duration": 5.04}, {"text": "falava que ele fez uma obra para o", "start": 14867.11, "duration": 5.01}, {"text": "faroleiro o faroleiro tem um quadro", "start": 14869.03, "duration": 5.37}, {"text": "Provavelmente por pintor que fez eu acho", "start": 14872.12, "duration": 4.44}, {"text": "que as pessoas sempre fala que voc\u00eas", "start": 14874.4, "duration": 4.74}, {"text": "foram meu farol n\u00e3o tem um quadro l\u00e1 em", "start": 14876.56, "duration": 5.71}, {"text": "um quadro grande que a ver ele pulou", "start": 14879.14, "duration": 5.53}, {"text": "sobre a Dori ela tinha um quadro mais eu", "start": 14882.27, "duration": 4.26}, {"text": "peguei esse retrato aqui a\u00ed eu tiro o", "start": 14884.67, "duration": 4.86}, {"text": "retrato n\u00e3o tem foto do retrato ou n\u00e3o", "start": 14886.53, "duration": 4.619}, {"text": "n\u00e3o tem foto n\u00e3o tem S\u00f3cio \u00e9 s\u00f3 um cara", "start": 14889.53, "duration": 4.05}, {"text": "adulto e duas crian\u00e7as no farol mas eu", "start": 14891.149, "duration": 4.881}, {"text": "mostro Qual \u00e9 o carro bem antiga \u00e9 uma", "start": 14893.58, "duration": 4.58}, {"text": "pintura", "start": 14896.03, "duration": 6.13}, {"text": "tem um cara e duas crian\u00e7as na folga ele", "start": 14898.16, "duration": 6.01}, {"text": "fala n\u00e3o no bilhete ele fala que as", "start": 14902.16, "duration": 3.86}, {"text": "crian\u00e7as ficaram muito felizes com", "start": 14904.17, "duration": 5.729}, {"text": "quadro ent\u00e3o pintor deu a pintura para o", "start": 14906.02, "duration": 7.27}, {"text": "pai do Barqueiro do Faro l\u00ea eu acho uma", "start": 14909.899, "duration": 6.151}, {"text": "duas crian\u00e7as para fazer n\u00e3o ele meu", "start": 14913.29, "duration": 5.31}, {"text": "hor\u00e1rio eu acho que tava \u00e9 maluco as", "start": 14916.05, "duration": 4.71}, {"text": "outras s\u00e3o s\u00e3o individuais ele faz as", "start": 14918.6, "duration": 5.52}, {"text": "pinturas com sangue e lota fila esse as", "start": 14920.76, "duration": 5.52}, {"text": "pessoas iam atr\u00e1s dele para fazer uma", "start": 14924.12, "duration": 4.05}, {"text": "obra deles mesmos mortos e eles estavam", "start": 14926.28, "duration": 4.19}, {"text": "atr\u00e1s dele para ter obra", "start": 14928.17, "duration": 6.559}, {"text": "Oi E essa era por acaso sabe como o", "start": 14930.47, "duration": 8.07}, {"text": "faroleiro e o Barqueiro perderam se ele", "start": 14934.729, "duration": 8.181}, {"text": "tentou matar o faroleiro faroleiro", "start": 14938.54, "duration": 4.37}, {"text": "faroleiro faroleiro", "start": 14943.0, "duration": 5.34}, {"text": "faroleiro", "start": 14946.33, "duration": 3.6}, {"text": "rolete", "start": 14948.34, "duration": 4.18}, {"text": "e coloca alguma coisa de errado voc\u00ea", "start": 14949.93, "duration": 4.15}, {"text": "porque tava maluco n\u00e9 voc\u00ea tava muito", "start": 14952.52, "duration": 3.509}, {"text": "maluco ent\u00e3o muito louco por cima de mim", "start": 14954.08, "duration": 4.71}, {"text": "s\u00f3 que esse segredo E a\u00ed o menino me", "start": 14956.029, "duration": 5.58}, {"text": "ajudou l\u00e1 ent\u00e3o \u00e9 isso eu achei estranho", "start": 14958.79, "duration": 4.98}, {"text": "s\u00f3 para cumprimentar tamb\u00e9m daquele ela", "start": 14961.609, "duration": 4.231}, {"text": "falou que quando estou sozinha nem sei", "start": 14963.77, "duration": 4.14}, {"text": "explicar o sentimento ou seja foram", "start": 14965.84, "duration": 3.899}, {"text": "realmente feito para ver o quadro", "start": 14967.91, "duration": 4.319}, {"text": "sozinho voc\u00ea vai ver quase tentar", "start": 14969.739, "duration": 4.141}, {"text": "sozinho praticamente d\u00e1 um teste de", "start": 14972.229, "duration": 3.5}, {"text": "vontade para mim", "start": 14973.88, "duration": 7.37}, {"text": "o telefone presen\u00e7a presen\u00e7a \u00e9", "start": 14975.729, "duration": 11.161}, {"text": "19 a voc\u00eas senti um arrepio muito forte", "start": 14981.25, "duration": 9.06}, {"text": "na sua espinha e voc\u00ea v\u00ea um vulto atr\u00e1s", "start": 14986.89, "duration": 6.62}, {"text": "do Milo por meio segundo", "start": 14990.31, "duration": 6.89}, {"text": "depois voc\u00ea falou isso", "start": 14993.51, "duration": 3.69}, {"text": "agora", "start": 14997.95, "duration": 3.0}, {"text": "vamos ficar louco", "start": 15002.42, "duration": 6.72}, {"text": "Juro que eu", "start": 15005.99, "duration": 3.15}, {"text": "acho que pode ser uma boa ideia mas", "start": 15028.58, "duration": 4.26}, {"text": "vamos com calma", "start": 15031.23, "duration": 6.69}, {"text": "calma respira e", "start": 15032.84, "duration": 5.08}, {"text": "bom ent\u00e3o ent\u00e3o vamos podem fazer pode", "start": 15041.26, "duration": 5.429}, {"text": "fazer como dar janta para ela ent\u00e3o voc\u00ea", "start": 15044.14, "duration": 4.17}, {"text": "encontra falando que o cabelo da sua", "start": 15046.689, "duration": 3.221}, {"text": "dire\u00e7\u00e3o", "start": 15048.31, "duration": 5.711}, {"text": "n\u00e3o \u00e9 bem um bilhete que foi escrito por", "start": 15049.91, "duration": 7.41}, {"text": "uma pessoa chamada Z\u00e9lia Castelo eu s\u00f3", "start": 15054.021, "duration": 6.479}, {"text": "quero eu eu vou t\u00e1 achando o outro \u00e9", "start": 15057.32, "duration": 7.88}, {"text": "Reflexo agilidade e", "start": 15060.5, "duration": 4.7}, {"text": "e \u00e9", "start": 15065.83, "duration": 6.57}, {"text": "1920 do dado 14 reflexo eu j\u00e1 ent\u00e3o voc\u00ea", "start": 15067.65, "duration": 8.76}, {"text": "pega a ela ela tirantes", "start": 15072.4, "duration": 4.01}, {"text": "[M\u00fasica]", "start": 15080.91, "duration": 3.2}, {"text": "tem uma pintura estranha na sua casa um", "start": 15085.021, "duration": 8.519}, {"text": "quadro bem n\u00e3o", "start": 15089.83, "duration": 3.71}, {"text": "falou que o pintor fez uma pintura e o", "start": 15097.17, "duration": 6.04}, {"text": "nome dela \u00e9 Z\u00e9lia castelo e \u00e9 uma", "start": 15100.75, "duration": 6.12}, {"text": "pintura sobre ela querer ter um filho a\u00ed", "start": 15103.21, "duration": 6.149}, {"text": "eu entrego para voc\u00ea ver", "start": 15106.87, "duration": 6.69}, {"text": "e eu vou ler n\u00e3o vou levar l\u00e1 n\u00e9 ele n\u00e3o", "start": 15109.359, "duration": 5.37}, {"text": "esbo\u00e7ou uma express\u00e3o eu fico olhando", "start": 15113.56, "duration": 3.479}, {"text": "para ver se ele vai buscar localizada \u00e0s", "start": 15114.729, "duration": 5.031}, {"text": "vezes eu deixo Azar", "start": 15117.039, "duration": 2.721}, {"text": "o pintor vem para c\u00e1 e ele fez uma", "start": 15120.869, "duration": 4.87}, {"text": "pintura para algumas pessoas com a", "start": 15123.819, "duration": 4.111}, {"text": "fam\u00edlia do Milo fez pintura para o", "start": 15125.739, "duration": 5.282}, {"text": "faroleiro faz pintura para mais gente", "start": 15127.93, "duration": 5.071}, {"text": "E a\u00ed a gente n\u00e3o sabe se ele tava usando", "start": 15131.021, "duration": 3.959}, {"text": "o sangue das pessoas de outras Mas", "start": 15133.001, "duration": 4.5}, {"text": "tamb\u00e9m ele ele pronto nem que promete", "start": 15134.98, "duration": 4.201}, {"text": "alguma coisa pelas pessoas ou s\u00e3o s\u00f3", "start": 15137.501, "duration": 4.409}, {"text": "pessoas que sei l\u00e1 eu n\u00e3o sei estranho", "start": 15139.181, "duration": 4.679}, {"text": "mas eu realmente acho que as pessoas v\u00e3o", "start": 15141.91, "duration": 3.66}, {"text": "por vontade pr\u00f3pria eu tava guardando", "start": 15143.86, "duration": 3.83}, {"text": "esse bilhete para mostrar para o seu pai", "start": 15145.57, "duration": 6.0}, {"text": "Oliveira voc\u00ea tem um tempo quieto outro", "start": 15147.69, "duration": 6.04}, {"text": "t\u00e1 pensando eu t\u00f4 nada voc\u00ea que ainda eu", "start": 15151.57, "duration": 4.38}, {"text": "t\u00f4 doente minha cabe\u00e7a s\u00f3 ok s\u00f3 que eu", "start": 15153.73, "duration": 3.991}, {"text": "t\u00f4 vendo ele tamb\u00e9m t\u00e1 at\u00e9 conseguir", "start": 15155.95, "duration": 5.821}, {"text": "neg\u00f3cio tem um tem esse esse as pinturas", "start": 15157.721, "duration": 6.019}, {"text": "foram feitas para uma pessoa espec\u00edfica", "start": 15161.771, "duration": 4.41}, {"text": "algu\u00e9m quando voc\u00ea for naquele quadro", "start": 15163.74, "duration": 5.111}, {"text": "estranho se deu alguma coisa ou n\u00e3o a", "start": 15166.181, "duration": 4.2}, {"text": "gente p\u00f5e a junta para o quadro da", "start": 15168.851, "duration": 4.799}, {"text": "mulher de E se for sozinho mas \u00e9 eu a", "start": 15170.381, "duration": 5.939}, {"text": "gente foi a gente comentou uma com a", "start": 15173.65, "duration": 4.441}, {"text": "outra que a gente sente uma coisa", "start": 15176.32, "duration": 4.71}, {"text": "estranha com voc\u00ea achou mais estranho", "start": 15178.091, "duration": 5.13}, {"text": "que eu que n\u00e3o \u00e9 igual eu tava com medo", "start": 15181.03, "duration": 5.311}, {"text": "eu sentir um cara fui eu fiquei com medo", "start": 15183.221, "duration": 5.3}, {"text": "eu", "start": 15186.341, "duration": 2.18}, {"text": "falo isso n\u00e9 e se voc\u00ea foi o presente", "start": 15188.58, "duration": 7.22}, {"text": "que descobriu isso voc\u00ea pode esperar mas", "start": 15193.55, "duration": 4.14}, {"text": "esse sair daqui tem outro bilhete que", "start": 15195.8, "duration": 3.15}, {"text": "fala que alguma coisa que na biblioteca", "start": 15197.69, "duration": 2.93}, {"text": "para n\u00e3o alma", "start": 15198.95, "duration": 3.2}, {"text": "espera", "start": 15200.62, "duration": 6.94}, {"text": "quer ler vou usar hoje n\u00e9 n\u00e3o era alma", "start": 15202.15, "duration": 7.48}, {"text": "sempre me espanta sua sutileza e", "start": 15207.56, "duration": 3.87}, {"text": "eleg\u00e2ncia para decora\u00e7\u00e3o de espa\u00e7os", "start": 15209.63, "duration": 3.48}, {"text": "internos sempre os utiliza de forma", "start": 15211.43, "duration": 3.18}, {"text": "Inteligente voc\u00ea se torna seu trabalho", "start": 15213.11, "duration": 4.29}, {"text": "mais f\u00e1cil por favor quando puder deixei", "start": 15214.61, "duration": 5.07}, {"text": "no compartimento da biblioteca algumas", "start": 15217.4, "duration": 4.02}, {"text": "indica\u00e7\u00f5es de onde que seria ideal", "start": 15219.68, "duration": 5.6}, {"text": "colocar o piano para", "start": 15221.42, "duration": 6.06}, {"text": "evitar poss\u00edveis problemas estruturais", "start": 15225.28, "duration": 4.27}, {"text": "na casa sem afetar eleg\u00e2ncia da lareira", "start": 15227.48, "duration": 4.59}, {"text": "algu\u00e9m me o piano vez que ele chegou eu", "start": 15229.55, "duration": 5.12}, {"text": "tava no coisa do dep\u00f3sito", "start": 15232.07, "duration": 6.83}, {"text": "\u00e9 aonde dep\u00f3sito na forma sou inteira", "start": 15234.67, "duration": 6.66}, {"text": "ainda deve ser um piano em algum lugar", "start": 15238.9, "duration": 4.289}, {"text": "perto de uma lareira ou era para ter", "start": 15241.33, "duration": 4.13}, {"text": "posto \u00e9", "start": 15243.189, "duration": 5.731}, {"text": "que aquela ficha era de coisa que o cara", "start": 15245.46, "duration": 7.11}, {"text": "herdou n\u00e3o \u00e9 \u00c9 Mas", "start": 15248.92, "duration": 7.64}, {"text": "ent\u00e3o t\u00e1 mais postando", "start": 15252.57, "duration": 3.99}, {"text": "bibliotecas instru\u00e7\u00e3o ent\u00e3o e a\u00ed a gente", "start": 15257.04, "duration": 6.79}, {"text": "n\u00e3o dizer voc\u00ea \u00e9 uma biblioteca enorme", "start": 15260.8, "duration": 6.66}, {"text": "como \u00e9 n\u00e3o \u00e9 um compartimento Abrir at\u00e9", "start": 15263.83, "duration": 5.13}, {"text": "que pode ficar qualquer coisa sem uma", "start": 15267.46, "duration": 3.06}, {"text": "especifica\u00e7\u00e3o de Itapu\u00e3 voc\u00ea nunca vai", "start": 15268.96, "duration": 4.02}, {"text": "encontrar a", "start": 15270.52, "duration": 5.29}, {"text": "Ah t\u00e1 ent\u00e3o o que voc\u00eas fazem", "start": 15272.98, "duration": 5.19}, {"text": "e o que significa quadro atr\u00e1s de mim", "start": 15275.81, "duration": 5.669}, {"text": "ele tamb\u00e9m apagado ele j\u00e1 t\u00e1 bem velho e", "start": 15278.17, "duration": 4.39}, {"text": "depois \u00e9 bem isso mas eu fa\u00e7o uma", "start": 15281.479, "duration": 2.701}, {"text": "textura Branca Santana quase nada tinha", "start": 15282.56, "duration": 3.57}, {"text": "alguma coisa uma paisagem desenhar mas", "start": 15284.18, "duration": 4.799}, {"text": "eu tamb\u00e9m apagado com tempo Entre eu t\u00f4", "start": 15286.13, "duration": 4.859}, {"text": "eu fico assim pensando em todo esse", "start": 15288.979, "duration": 3.51}, {"text": "contexto eu consigo pensar se tem algum", "start": 15290.989, "duration": 4.58}, {"text": "quadro na minha casa esquisito", "start": 15292.489, "duration": 5.761}, {"text": "tem alguns Quadros na sua casa mas s\u00e3o", "start": 15295.569, "duration": 4.42}, {"text": "figuras religiosas t\u00eam que um quadro de", "start": 15298.25, "duration": 3.72}, {"text": "Jesus na sua casa a que sua m\u00e3e \u00e9", "start": 15299.989, "duration": 4.771}, {"text": "religiosa mas nada especial que voc\u00ea", "start": 15301.97, "duration": 6.131}, {"text": "lembre n\u00e3o \u00e9 e o meu fica muito preso no", "start": 15304.76, "duration": 6.96}, {"text": "nesse bilhete que a palavra dada por ele", "start": 15308.101, "duration": 4.85}, {"text": "[M\u00fasica]", "start": 15311.72, "duration": 6.311}, {"text": "e preciso de qualquer e tal n\u00e9 d\u00e1 alguma", "start": 15312.951, "duration": 8.17}, {"text": "coisa algu\u00e9m te muito estranha mas ele", "start": 15318.031, "duration": 5.4}, {"text": "todo presente para minha fam\u00edlia n\u00e3o \u00e9", "start": 15321.121, "duration": 4.209}, {"text": "para sair n\u00e3o", "start": 15323.431, "duration": 5.279}, {"text": "a pergunta para o seu pai quem \u00e9 a Z\u00e9lia", "start": 15325.33, "duration": 7.74}, {"text": "t\u00e1 tem alguma t\u00e1 t\u00e1 vamos seguir vai", "start": 15328.71, "duration": 7.03}, {"text": "depois eu vejo isso pelo menos agora a", "start": 15333.07, "duration": 5.88}, {"text": "gente sabe que tem esse neg\u00f3cio a\u00ed do", "start": 15335.74, "duration": 5.7}, {"text": "pintor que dava pintura para as pessoas", "start": 15338.95, "duration": 3.68}, {"text": "a gente pode se", "start": 15341.44, "duration": 5.61}, {"text": "tiver me falado nada eu fiquei pode se", "start": 15342.63, "duration": 6.25}, {"text": "divertir na casa das pessoas ver se tem", "start": 15347.05, "duration": 6.56}, {"text": "pintura a\u00ed tem alguma coisa para fazer", "start": 15348.88, "duration": 4.73}, {"text": "que est\u00e1 fazendo", "start": 15354.18, "duration": 3.3}, {"text": "para ver se uma pessoa tem que ter uma", "start": 15364.021, "duration": 5.259}, {"text": "rela\u00e7\u00e3o entre isso aqui e as pessoas", "start": 15367.24, "duration": 5.64}, {"text": "irem uma exposi\u00e7\u00e3o n\u00e3o faz sentido isso", "start": 15369.28, "duration": 6.09}, {"text": "aqui isso aqui t\u00e1 assim quem \u00e9 o menos", "start": 15372.88, "duration": 4.88}, {"text": "cagam", "start": 15375.37, "duration": 5.43}, {"text": "eu sou meio drag\u00e3o mas eu j\u00e1 com essa", "start": 15377.76, "duration": 5.44}, {"text": "regi\u00e3o aqui ent\u00e3o n\u00e9 Olha eu acho que o", "start": 15380.8, "duration": 4.53}, {"text": "mais novo tinha que ir", "start": 15383.2, "duration": 4.44}, {"text": "\u00e9 porque o mais velho fica respons\u00e1vel e", "start": 15385.33, "duration": 4.981}, {"text": "a\u00ed porque j\u00e1 t\u00e1 eu n\u00e3o sou o vento", "start": 15387.64, "duration": 5.04}, {"text": "drag\u00e3o mas se isso aqui ajudar descobrir", "start": 15390.311, "duration": 5.579}, {"text": "alguma coisa da minha fam\u00edlia Quantos", "start": 15392.68, "duration": 4.74}, {"text": "anos voc\u00ea tem nele", "start": 15395.89, "duration": 3.589}, {"text": "E a\u00ed", "start": 15397.42, "duration": 2.059}, {"text": "e eu acho que o mais velho tem que ir eu", "start": 15399.82, "duration": 5.64}, {"text": "tamb\u00e9m acho Cala a boca tua opini\u00e3o n\u00e3o", "start": 15402.91, "duration": 4.95}, {"text": "comenta com Ol\u00edvia que voc\u00ea mesmo voc\u00ea", "start": 15405.46, "duration": 3.931}, {"text": "vai pegar uma coisa para fazer que tava", "start": 15407.86, "duration": 3.661}, {"text": "sem internet assim tudo mais dessa vai", "start": 15409.391, "duration": 4.339}, {"text": "ver a porta aberta aqui eu pego eu vou", "start": 15411.521, "duration": 6.259}, {"text": "ela queria uma coragenzinha ali ok", "start": 15413.73, "duration": 8.321}, {"text": "Voc\u00ea vai para onde eu vou subir sozinha", "start": 15417.78, "duration": 6.401}, {"text": "voc\u00ea vai subir as escadas sozinho seu", "start": 15422.051, "duration": 4.22}, {"text": "cabelo at\u00e9 que a todos voc\u00eas", "start": 15424.181, "duration": 5.639}, {"text": "a\u00ed ela vai perguntar a ele se ele viu l\u00e1", "start": 15426.271, "duration": 5.29}, {"text": "embaixo voc\u00ea volta em um minuto t\u00e1 bom", "start": 15429.82, "duration": 3.691}, {"text": "se eu n\u00e3o voltar a gente vai atr\u00e1s de", "start": 15431.561, "duration": 3.629}, {"text": "voc\u00ea \u00e9 batom com o nome t\u00f4 a\u00ed no seu", "start": 15433.511, "duration": 3.329}, {"text": "celular ent\u00e3o eu t\u00f4 contando aqui eu sou", "start": 15435.19, "duration": 4.02}, {"text": "daqui a pouco nesse v\u00eddeo n\u00e9 eu n\u00e3o vou", "start": 15436.84, "duration": 4.82}, {"text": "pegar o meu vou pedir o seu", "start": 15439.21, "duration": 6.21}, {"text": "d\u00f3i t\u00e1 eu vou eu vou at\u00e9 eu vou andar", "start": 15441.66, "duration": 5.651}, {"text": "at\u00e9 o quarto onde tampa tela a produ\u00e7\u00e3o", "start": 15445.42, "duration": 3.15}, {"text": "eu s\u00f3 tem que fazer um esqueminha aqui", "start": 15447.311, "duration": 4.29}, {"text": "para ir para l\u00e1 a\u00ed eu tenho que ver tem", "start": 15448.57, "duration": 5.25}, {"text": "que virar sua lanterna porque eu vou", "start": 15451.601, "duration": 4.049}, {"text": "bater na perna eu tenho que fazer um", "start": 15453.82, "duration": 5.72}, {"text": "processinho Certinho obrigado viu", "start": 15455.65, "duration": 3.89}, {"text": "o", "start": 15461.02, "duration": 4.37}, {"text": "certo \u00e9", "start": 15462.18, "duration": 5.65}, {"text": "calma a\u00ed", "start": 15465.39, "duration": 6.52}, {"text": "e foi IV quadro alguns um gigantesco a\u00ed", "start": 15467.83, "duration": 5.81}, {"text": "calma fiz coisas t\u00e1 tudo bem tudo bem", "start": 15471.91, "duration": 4.611}, {"text": "vai ficar um cal", "start": 15473.64, "duration": 6.04}, {"text": "eu dou ok calma t\u00e1 tudo bem", "start": 15476.521, "duration": 7.668}, {"text": "eu quero tirar isso pronto tira isso", "start": 15479.68, "duration": 6.969}, {"text": "ah ah t\u00e1 tudo bem tudo bem N\u00e3o n\u00e3o", "start": 15484.189, "duration": 5.431}, {"text": "grande problema n\u00e3o \u00e9", "start": 15486.649, "duration": 7.412}, {"text": "e pronto vai ficar assim pode", "start": 15489.62, "duration": 4.441}, {"text": "e pode mostrar", "start": 15494.54, "duration": 3.59}, {"text": "a", "start": 15498.479, "duration": 5.0}, {"text": "Camille voc\u00ea vem seguindo", "start": 15500.149, "duration": 6.821}, {"text": "esse esse longo corredor n\u00e9 voc\u00ea foi", "start": 15503.479, "duration": 5.621}, {"text": "sozinha se eu fui andando pela mans\u00e3o o", "start": 15506.97, "duration": 3.3}, {"text": "que que tava passando por somente com", "start": 15509.1, "duration": 2.339}, {"text": "essa andando pelos corredores da mans\u00e3o", "start": 15510.27, "duration": 2.209}, {"text": "sozinha", "start": 15511.439, "duration": 4.22}, {"text": "Ou tava com medo ela tava assustada", "start": 15512.479, "duration": 5.831}, {"text": "porque ela sabia que o cara seu sumido", "start": 15515.659, "duration": 5.861}, {"text": "depois de matar a esposa ent\u00e3o ela", "start": 15518.31, "duration": 5.219}, {"text": "ficava pensando se ele podia estar por", "start": 15521.52, "duration": 3.87}, {"text": "ali ainda escondido sei l\u00e1 algum lugar", "start": 15523.529, "duration": 4.16}, {"text": "velho sei l\u00e1", "start": 15525.39, "duration": 5.399}, {"text": "e ela tava andando sozinhos e ver esse", "start": 15527.689, "duration": 6.031}, {"text": "quadro grande no fim do corredor e", "start": 15530.789, "duration": 5.731}, {"text": "quando voc\u00ea era para ele sozinha mesmo", "start": 15533.72, "duration": 4.059}, {"text": "de longe voc\u00ea come\u00e7a a sentir um pouco", "start": 15536.52, "duration": 4.01}, {"text": "estranha n\u00e9", "start": 15537.779, "duration": 4.881}, {"text": "se voc\u00ea senti como se ele tivesse quase", "start": 15540.53, "duration": 3.35}, {"text": "te chamando", "start": 15542.66, "duration": 3.94}, {"text": "bom e voc\u00ea segue", "start": 15543.88, "duration": 5.02}, {"text": "em dire\u00e7\u00e3o a ele", "start": 15546.6, "duration": 5.451}, {"text": "E voc\u00ea t\u00e1 parada na frente dele vai", "start": 15548.9, "duration": 6.8}, {"text": "parede voc\u00ea ta observando", "start": 15552.051, "duration": 6.428}, {"text": "essa aventura", "start": 15555.7, "duration": 5.119}, {"text": "o que voc\u00ea sente", "start": 15558.479, "duration": 5.402}, {"text": "e com Salt observasse de volta", "start": 15560.819, "duration": 5.161}, {"text": "se voc\u00ea sente os pelos o seu bra\u00e7o", "start": 15563.881, "duration": 3.679}, {"text": "arrepiarem", "start": 15565.98, "duration": 3.62}, {"text": "e quando voc\u00ea se d\u00e1 conta os seus dedos", "start": 15567.56, "duration": 3.3}, {"text": "est\u00e3o tremendo", "start": 15569.6, "duration": 3.81}, {"text": "e essa noiva", "start": 15570.86, "duration": 4.88}, {"text": "e essa mulher", "start": 15573.41, "duration": 6.57}, {"text": "alma dela brisa no quadro que olhando de", "start": 15575.74, "duration": 6.361}, {"text": "volta", "start": 15579.98, "duration": 5.56}, {"text": "se voc\u00ea sente algo pingando no seu bra\u00e7o", "start": 15582.101, "duration": 5.529}, {"text": "que s\u00e3o L\u00e1grimas", "start": 15585.54, "duration": 4.881}, {"text": "s\u00e3o suas l\u00e1grimas", "start": 15587.63, "duration": 5.03}, {"text": "ela est\u00e1 chorando", "start": 15590.421, "duration": 4.989}, {"text": "e sem parar", "start": 15592.66, "duration": 5.651}, {"text": "a aventura", "start": 15595.41, "duration": 6.199}, {"text": "e come\u00e7a a se mover", "start": 15598.311, "duration": 5.808}, {"text": "e o movimento do l\u00edquido", "start": 15601.609, "duration": 5.471}, {"text": "derretendo sutilmente", "start": 15604.119, "duration": 5.471}, {"text": "e hipn\u00f3tico", "start": 15607.08, "duration": 4.68}, {"text": "e ela te entendi", "start": 15609.59, "duration": 5.099}, {"text": "o h\u00e1bito a conversa com voc\u00ea", "start": 15611.76, "duration": 5.74}, {"text": "ela te chamou para c\u00e1", "start": 15614.689, "duration": 6.681}, {"text": "o que voc\u00ea veio at\u00e9 aqui voc\u00ea viu toda a", "start": 15617.5, "duration": 7.97}, {"text": "sua vida para finalmente entender", "start": 15621.37, "duration": 5.78}, {"text": "isso", "start": 15625.47, "duration": 4.44}, {"text": "essa pintura", "start": 15627.15, "duration": 7.11}, {"text": "e n\u00e3o tem mais volta", "start": 15629.91, "duration": 6.18}, {"text": "se voc\u00ea n\u00e3o consegue mais olhar para", "start": 15634.26, "duration": 4.519}, {"text": "nenhuma outra coisa", "start": 15636.09, "duration": 2.689}, {"text": "o e atrav\u00e9s do V\u00e9u", "start": 15639.011, "duration": 4.359}, {"text": "e ela tamb\u00e9m n\u00e3o consegue olhar para", "start": 15641.45, "duration": 3.111}, {"text": "nada", "start": 15643.37, "duration": 4.181}, {"text": "e al\u00e9m de voc\u00ea", "start": 15644.561, "duration": 5.169}, {"text": "\u00e9 a verdadeira arte", "start": 15647.551, "duration": 6.72}, {"text": "\u00e9 s\u00f3 um reflexo dos Sentimentos de quem", "start": 15649.73, "duration": 6.32}, {"text": "a contempla", "start": 15654.271, "duration": 5.529}, {"text": "E como voc\u00ea se sente agora ele se voc\u00ea", "start": 15656.05, "duration": 5.269}, {"text": "pudesse definir", "start": 15659.8, "duration": 5.19}, {"text": "o principal sentimento que t\u00e1 dormindo a", "start": 15661.319, "duration": 7.241}, {"text": "sua mente agora o seu cora\u00e7\u00e3o e uma", "start": 15664.99, "duration": 4.85}, {"text": "palavra", "start": 15668.56, "duration": 4.99}, {"text": "E qual seria ela vazio", "start": 15669.84, "duration": 6.41}, {"text": "o vazio", "start": 15673.55, "duration": 4.64}, {"text": "se", "start": 15676.25, "duration": 5.91}, {"text": "voc\u00ea sente voc\u00ea t\u00e1 dentro do vazio voc\u00ea", "start": 15678.19, "duration": 8.71}, {"text": "\u00e9 vazia todo o os seus arredores \u00e9 vazio", "start": 15682.16, "duration": 7.27}, {"text": "e voc\u00ea sente ela", "start": 15686.9, "duration": 6.789}, {"text": "e atr\u00e1s de voc\u00ea voc\u00ea olha para a pra\u00e7a e", "start": 15689.43, "duration": 7.74}, {"text": "ela t\u00e1 de frente para voc\u00ea uma figura", "start": 15693.689, "duration": 4.521}, {"text": "encapuzada", "start": 15697.17, "duration": 6.47}, {"text": "derretida olhando no fundo da sua alma", "start": 15698.21, "duration": 11.28}, {"text": "se voc\u00ea sente vindo de dentro do vazio e", "start": 15703.64, "duration": 9.291}, {"text": "e voc\u00ea vai palavras", "start": 15709.49, "duration": 3.441}, {"text": "E por que que voc\u00ea fez isso comigo", "start": 15713.16, "duration": 3.77}, {"text": "ou menos 2 unidade 1", "start": 15718.03, "duration": 5.459}, {"text": "E a\u00ed", "start": 15721.43, "duration": 2.059}, {"text": "e eu converso com ela possa voc\u00ea pode", "start": 15724.41, "duration": 4.46}, {"text": "tentar se voc\u00ea realmente me ama", "start": 15726.84, "duration": 5.431}, {"text": "por qu\u00ea que foi a minha vida eu n\u00e3o", "start": 15728.87, "duration": 5.05}, {"text": "quero destruir voc\u00ea eu nem sei quem \u00e9", "start": 15732.271, "duration": 5.569}, {"text": "voc\u00ea e nos dois unidade 1", "start": 15733.92, "duration": 6.439}, {"text": "eu j\u00e1 consigo correr me chama pelo meu", "start": 15737.84, "duration": 4.58}, {"text": "nome", "start": 15740.359, "duration": 2.061}, {"text": "a dor Alva", "start": 15742.68, "duration": 8.3}, {"text": "se voc\u00ea os estrago tudo se algu\u00e9m se", "start": 15745.79, "duration": 7.94}, {"text": "algu\u00e9m descobrir isso", "start": 15750.98, "duration": 2.75}, {"text": "a descobrir o que menos dois descer", "start": 15754.0, "duration": 6.57}, {"text": "idade e", "start": 15757.21, "duration": 3.36}, {"text": "E a\u00ed", "start": 15760.89, "duration": 4.42}, {"text": "e quantos Km d\u00e1 de Jaragu\u00e1 AM", "start": 15762.95, "duration": 3.73}, {"text": "[M\u00fasica]", "start": 15765.31, "duration": 5.32}, {"text": "e voc\u00ea vai acabar Toy dois", "start": 15766.68, "duration": 7.711}, {"text": "voc\u00eas escutam o outro lado da mans\u00e3o", "start": 15770.63, "duration": 7.291}, {"text": "Oi amile perrando", "start": 15774.391, "duration": 3.53}, {"text": "e se", "start": 15779.5, "duration": 5.09}, {"text": "fossemos algo t\u00e3o puro", "start": 15781.08, "duration": 3.51}, {"text": "entendeu tudo errado", "start": 15784.86, "duration": 3.24}, {"text": "e a gente vai come\u00e7ar a frisar que o", "start": 15788.3, "duration": 5.12}, {"text": "parada voc\u00ea grita por socorro essa", "start": 15790.609, "duration": 4.971}, {"text": "figura", "start": 15793.42, "duration": 4.99}, {"text": "encosta em voc\u00ea e", "start": 15795.58, "duration": 6.62}, {"text": "ou menos 2 cm idade e e", "start": 15798.41, "duration": 7.37}, {"text": "voc\u00ea entra em choque voc\u00ea deixa o avi\u00e3o", "start": 15802.2, "duration": 6.551}, {"text": "cai ele quebra e voc\u00ea sai voc\u00ea para de", "start": 15805.78, "duration": 4.321}, {"text": "olhar para o quadro que voc\u00ea t\u00e1 fazendo", "start": 15808.751, "duration": 3.238}, {"text": "at\u00e9 agora", "start": 15810.101, "duration": 4.338}, {"text": "o que voc\u00eas curtam", "start": 15811.989, "duration": 5.971}, {"text": "americano do outro lado da miss\u00e3o", "start": 15814.439, "duration": 5.831}, {"text": "se voc\u00ea tem que louquecer Camille voc\u00ea", "start": 15817.96, "duration": 4.38}, {"text": "tem tr\u00eas rodadas para algu\u00e9m tirar dessa", "start": 15820.27, "duration": 3.83}, {"text": "dessa situa\u00e7\u00e3o", "start": 15822.34, "duration": 5.22}, {"text": "voc\u00ea escutou Mesmo errando esperada do", "start": 15824.1, "duration": 5.02}, {"text": "estado-na\u00e7\u00e3o que voc\u00eas fazem e te", "start": 15827.56, "duration": 4.1}, {"text": "conhece o neg\u00f3cio a\u00ed sai correndo ok ele", "start": 15829.12, "duration": 6.0}, {"text": "sai correndo eu agrade\u00e7o no ch\u00e3o e j\u00e1", "start": 15831.66, "duration": 5.14}, {"text": "falar come\u00e7ou a balan\u00e7ar ela ver se ela", "start": 15835.12, "duration": 3.03}, {"text": "t\u00e1 vindo acordada qualquer coloquei", "start": 15836.8, "duration": 3.69}, {"text": "voc\u00eas chegam deixa colocar voc\u00eas aqui a\u00ed", "start": 15838.15, "duration": 4.35}, {"text": "deixa eu amei voc\u00eas chegam e \u00e9 militar", "start": 15840.49, "duration": 5.15}, {"text": "ca\u00edda na frente do quadro com o Lampi\u00e3o", "start": 15842.5, "duration": 6.66}, {"text": "derrubado ao lado dela voc\u00ea t\u00e1 com 10 de", "start": 15845.64, "duration": 6.31}, {"text": "sanidade Mas voc\u00ea t\u00e1 enlouquecendo eu", "start": 15849.16, "duration": 4.68}, {"text": "vou ter que demorou uma rodada para voc\u00ea", "start": 15851.95, "duration": 3.48}, {"text": "chegar aqui eles ficaram do outro lado", "start": 15853.84, "duration": 3.29}, {"text": "da mans\u00e3o", "start": 15855.43, "duration": 5.28}, {"text": "deu uma rodada j\u00e1 te passou a sua mente", "start": 15857.13, "duration": 7.599}, {"text": "est\u00e1 sendo desmantelada \u00e9 imposs\u00edvel o", "start": 15860.71, "duration": 5.6}, {"text": "que acabou de acontecer com voc\u00ea", "start": 15864.729, "duration": 5.841}, {"text": "junto aqui Coloca aquela sentada vamos", "start": 15866.31, "duration": 7.27}, {"text": "ao redor do dela e ela t\u00e1 com", "start": 15870.57, "duration": 5.05}, {"text": "funcionando voc\u00eas vem nos olhos dela", "start": 15873.58, "duration": 3.811}, {"text": "veias", "start": 15875.62, "duration": 4.501}, {"text": "e como quase pretas pulsantes de ouro", "start": 15877.391, "duration": 5.82}, {"text": "dela t\u00e1 t\u00e1 vibrando e com mudando cores", "start": 15880.121, "duration": 6.359}, {"text": "em tons marrons e pretos ela t\u00e1", "start": 15883.211, "duration": 6.239}, {"text": "desmaiada a voc\u00ea n\u00e3o t\u00e1 desmaiada voc\u00ea", "start": 15886.48, "duration": 5.101}, {"text": "pode interpretar t\u00e1 ela t\u00e1 tremendo", "start": 15889.45, "duration": 4.671}, {"text": "Ent\u00e3o t\u00e1 sentindo", "start": 15891.581, "duration": 2.54}, {"text": "alguma coisa que ela gosta que ela fica", "start": 15894.15, "duration": 5.071}, {"text": "coisa qualquer coisa \u00e9 isso", "start": 15896.831, "duration": 5.39}, {"text": "Coisa", "start": 15899.221, "duration": 3.0}, {"text": "fazer um teste de ia para", "start": 15906.541, "duration": 7.51}, {"text": "o teste voc\u00eas v\u00e3o ajudar \u00e9 um desenho s\u00f3", "start": 15909.78, "duration": 8.891}, {"text": "\u00e9 presente e", "start": 15914.051, "duration": 4.62}, {"text": "12 2013", "start": 15921.041, "duration": 7.21}, {"text": "32 n\u00e3o \u00e9 suficiente n\u00e3o vai ser a", "start": 15924.371, "duration": 6.819}, {"text": "principal dele segunda rodada mili na", "start": 15928.251, "duration": 6.09}, {"text": "pr\u00f3xima rodada voc\u00ea vai enlouquecer O", "start": 15931.19, "duration": 5.071}, {"text": "que que voc\u00ea fala Espera a\u00ed antes de", "start": 15934.341, "duration": 4.38}, {"text": "dizer que o teste falhou e medida que", "start": 15936.261, "duration": 4.349}, {"text": "voc\u00ea fala para ela e voc\u00eas est\u00e3o", "start": 15938.721, "duration": 3.87}, {"text": "auxiliando para plantar Calma ela fala", "start": 15940.61, "duration": 3.84}, {"text": "pelo menos o ficar tudo bem Que que", "start": 15942.591, "duration": 4.08}, {"text": "aconteceu voc\u00ea v\u00ea alguma coisa eu s\u00f3", "start": 15944.45, "duration": 5.37}, {"text": "fico tremendo n\u00e3o morar uma que t\u00e1", "start": 15946.671, "duration": 4.92}, {"text": "falando voc\u00ea pode gritar o que voc\u00ea que", "start": 15949.82, "duration": 5.02}, {"text": "voc\u00ea quiser porque a minha m\u00e3e m\u00e3e", "start": 15951.591, "duration": 3.808}, {"text": "E", "start": 15954.84, "duration": 2.519}, {"text": "quando \u00e9 que quando voc\u00ea tem um grit\u00e3o o", "start": 15955.399, "duration": 4.151}, {"text": "qu\u00ea que voc\u00eas querem falar ajudar a\u00ed que", "start": 15957.359, "duration": 4.171}, {"text": "pode esfriar pode falar voc\u00ea quiser t\u00e1", "start": 15959.55, "duration": 4.46}, {"text": "Chama sua m\u00e3e", "start": 15961.53, "duration": 6.14}, {"text": "volta volta volta", "start": 15964.01, "duration": 7.75}, {"text": "por alma \u00e9 s\u00f3 14 a uma hora uma pessoa", "start": 15967.67, "duration": 7.96}, {"text": "uma pintura ali oral mas a gente t\u00e1 aqui", "start": 15971.76, "duration": 8.719}, {"text": "na sua casa Voc\u00ea lembra", "start": 15975.63, "duration": 9.08}, {"text": "do que voc\u00ea falou com", "start": 15980.479, "duration": 4.231}, {"text": "ela", "start": 15990.83, "duration": 4.77}, {"text": "eu", "start": 15993.32, "duration": 6.28}, {"text": "tirei 1721", "start": 15995.6, "duration": 4.0}, {"text": "um tapete presen\u00e7a presen\u00e7a voc\u00ea tirou", "start": 16002.19, "duration": 6.741}, {"text": "20 olivieri escreve para mim", "start": 16005.25, "duration": 7.61}, {"text": "fala tava vida dela ent\u00e3o", "start": 16008.931, "duration": 7.049}, {"text": "t\u00e1 bem", "start": 16012.86, "duration": 3.12}, {"text": "que voc\u00ea falou para trazer de volta", "start": 16018.471, "duration": 6.12}, {"text": "seu irm\u00e3o ele est\u00e1 bem t\u00e1 bom t\u00e1", "start": 16036.471, "duration": 8.739}, {"text": "tudo bem a\u00ed", "start": 16041.091, "duration": 4.119}, {"text": "Oi gente tudo vazio n\u00e3o tinha nada agora", "start": 16049.84, "duration": 5.91}, {"text": "est\u00e1 tudo bem tudo bem um ponto sempre", "start": 16052.72, "duration": 4.759}, {"text": "das volta", "start": 16055.75, "duration": 6.35}, {"text": "voc\u00ea foi salvo todas as perguntas", "start": 16057.479, "duration": 4.621}, {"text": "eu acho que \u00e9 uma boi da\u00ed a gente n\u00e3o", "start": 16065.189, "duration": 6.011}, {"text": "anda mais sozinho Eu tamb\u00e9m acho e vamos", "start": 16068.47, "duration": 4.469}, {"text": "sair de perto esse quadro pelo amor de", "start": 16071.2, "duration": 2.82}, {"text": "Deus", "start": 16072.939, "duration": 2.97}, {"text": "Ah t\u00e1 eu quero saber que aconteceu T\u00e1", "start": 16074.02, "duration": 3.839}, {"text": "bom ent\u00e3o n\u00e3o ficar aqui pelo amor de", "start": 16075.909, "duration": 3.87}, {"text": "Deus voc\u00eas olham para o lado e voc\u00eas vem", "start": 16077.859, "duration": 5.701}, {"text": "o Cavalcante olhando voc\u00eas de longe um", "start": 16079.779, "duration": 5.351}, {"text": "pouco mais acima", "start": 16083.56, "duration": 4.36}, {"text": "Ol\u00e1 pessoal gente t\u00e1 tudo bem a\u00ed t\u00e1 tudo", "start": 16085.13, "duration": 8.58}, {"text": "bem tudo bem tudo bem \u00c9 o Guido est\u00e1", "start": 16087.92, "duration": 9.05}, {"text": "brincando foi pegar o dia aqui da Mili", "start": 16093.71, "duration": 6.68}, {"text": "da gente por causa da", "start": 16096.97, "duration": 4.98}, {"text": "beleza", "start": 16100.39, "duration": 4.96}, {"text": "ele ele volta o quarto dele e fecha a", "start": 16101.95, "duration": 4.199}, {"text": "porta", "start": 16105.35, "duration": 3.99}, {"text": "vem c\u00e1 eu puxo pelo bra\u00e7o e eu quero um", "start": 16106.149, "duration": 6.761}, {"text": "l\u00e1 no quarto da Meli pegar um len\u00e7ol Ok", "start": 16109.34, "duration": 5.34}, {"text": "voc\u00ea vai at\u00e9 o quarto dela voc\u00ea o resto", "start": 16112.91, "duration": 4.739}, {"text": "fica a\u00ed n\u00e3o sei eu n\u00e3o tenho Luiz eu vou", "start": 16114.68, "duration": 5.549}, {"text": "com eu tava com ela quebrou tem s\u00f3 um", "start": 16117.649, "duration": 3.591}, {"text": "avi\u00e3o agora", "start": 16120.229, "duration": 3.561}, {"text": "ningu\u00e9m para sozinho por favor", "start": 16121.24, "duration": 4.659}, {"text": "porque bagun\u00e7a tamb\u00e9m ent\u00e3o tem como a", "start": 16123.79, "duration": 4.18}, {"text": "gente ficar assim eu quero quero pega o", "start": 16125.899, "duration": 3.531}, {"text": "len\u00e7ol para cobrir esse quadro aqui", "start": 16127.97, "duration": 3.36}, {"text": "ningu\u00e9m pode olhar para isso aqui", "start": 16129.43, "duration": 3.969}, {"text": "sozinho imagina tamb\u00e9m tem que resolver", "start": 16131.33, "duration": 6.4}, {"text": "l\u00e1 debaixo o prato batendo a sala mesa", "start": 16133.399, "duration": 7.691}, {"text": "Angelina grito", "start": 16137.73, "duration": 3.36}, {"text": "agora", "start": 16143.49, "duration": 3.0}, {"text": "t\u00e1 bom ent\u00e3o vamos cobrir neg\u00f3cio ela", "start": 16147.391, "duration": 6.839}, {"text": "ainda t\u00e1 bem tava", "start": 16151.601, "duration": 2.629}, {"text": "no quarto voc\u00eas", "start": 16163.65, "duration": 3.78}, {"text": "cobre o quadro com len\u00e7ol", "start": 16171.96, "duration": 6.931}, {"text": "voltar voc\u00ea precisa de", "start": 16175.44, "duration": 6.661}, {"text": "frente com o", "start": 16178.891, "duration": 3.21}, {"text": "e a Meire falou que o que o faroleiro", "start": 16195.89, "duration": 6.15}, {"text": "tava doid\u00e3o tamb\u00e9m ser\u00e1 que tem a ver", "start": 16198.979, "duration": 6.121}, {"text": "com o quadro que o faroleiro tem eu t\u00f4", "start": 16202.04, "duration": 4.619}, {"text": "mas eu percebi que ela ela tava com a", "start": 16205.1, "duration": 5.719}, {"text": "mesma aten\u00e7\u00e3o que eu sou eu sim", "start": 16206.659, "duration": 7.021}, {"text": "eu sei que voc\u00ea percebeu que voc\u00ea viu", "start": 16210.819, "duration": 5.29}, {"text": "umas as duas vezes bem de perto e ela t\u00e1", "start": 16213.68, "duration": 5.58}, {"text": "bem agora e ela t\u00e1 bem ela t\u00e1 chovendo", "start": 16216.109, "duration": 5.991}, {"text": "n\u00e3o t\u00e1 mais l\u00e1", "start": 16219.26, "duration": 2.84}, {"text": "ent\u00e3o olha eu percebi quando o cara do", "start": 16223.72, "duration": 6.58}, {"text": "Farol j\u00e1 t\u00e1 com ele tinha exatamente a", "start": 16226.88, "duration": 6.39}, {"text": "mesma fei\u00e7\u00e3o que me mandou agora tava", "start": 16230.3, "duration": 4.639}, {"text": "com os olhos mudando de cor", "start": 16233.27, "duration": 5.219}, {"text": "marrom em alguma coisa coisa vez aqui", "start": 16234.939, "duration": 7.21}, {"text": "tamb\u00e9m t\u00e1 ent\u00e3o talvez o cara do Farol", "start": 16238.489, "duration": 5.91}, {"text": "deve estar sobre o mesmo efeito que me", "start": 16242.149, "duration": 3.21}, {"text": "matava", "start": 16244.399, "duration": 3.531}, {"text": "\u00e9 isso pessoal quem para salvar ele", "start": 16245.359, "duration": 5.79}, {"text": "faz quanto tempo que o cara do Farol t\u00e1", "start": 16247.93, "duration": 5.17}, {"text": "l\u00e1 com aquela pintura sua irm\u00e3 Eleuza", "start": 16251.149, "duration": 4.71}, {"text": "pintura por trinta segundo Eu acho que", "start": 16253.1, "duration": 5.73}, {"text": "eu j\u00e1 tava l\u00e1 com a gente nasceu", "start": 16255.859, "duration": 5.821}, {"text": "eu n\u00e3o sei se o cara do Farol vai ter", "start": 16258.83, "duration": 5.43}, {"text": "jeito n\u00e3o o velho do Farol \u00e9 conhecido", "start": 16261.68, "duration": 4.46}, {"text": "por ser pirado h\u00e1", "start": 16264.26, "duration": 5.58}, {"text": "tantos anos e ele n\u00e3o sai daquele farol", "start": 16266.14, "duration": 6.16}, {"text": "ele fica l\u00e1 que ele provavelmente est\u00e1", "start": 16269.84, "duration": 5.13}, {"text": "sob o efeito do quadro entendi mas eu", "start": 16272.3, "duration": 4.71}, {"text": "acho que Adriana \u00fanica pessoa que fala", "start": 16274.97, "duration": 3.7}, {"text": "com ele", "start": 16277.01, "duration": 3.42}, {"text": "ah ah", "start": 16278.67, "duration": 4.35}, {"text": "o que que a gente vai fazer quantas", "start": 16280.43, "duration": 4.6}, {"text": "pintura dessa que se olhar sozinho fica", "start": 16283.02, "duration": 3.69}, {"text": "louco pode ter aqui dentro mas n\u00e3o pode", "start": 16285.03, "duration": 4.35}, {"text": "andar sozinho voc\u00eas v\u00e3o dormir nesse", "start": 16286.71, "duration": 4.16}, {"text": "lugar", "start": 16289.38, "duration": 3.57}, {"text": "para voc\u00ea sente contar para o seu pai", "start": 16290.87, "duration": 5.02}, {"text": "voc\u00eas v\u00e3o acreditar isso o pai de voc\u00ea", "start": 16292.95, "duration": 4.529}, {"text": "est\u00e1 sozinho olhando os neg\u00f3cios do", "start": 16295.89, "duration": 3.51}, {"text": "pintor dia todo que eu n\u00e3o quero ficar", "start": 16297.479, "duration": 3.481}, {"text": "n\u00e3o quero mais ficar aqui gente vamos", "start": 16299.4, "duration": 4.95}, {"text": "descer por favor do Sol e se a gente", "start": 16300.96, "duration": 5.46}, {"text": "outra coisa que juntar seguro os quadros", "start": 16304.35, "duration": 4.98}, {"text": "n\u00e3o n\u00e3o n\u00e3o o jornal diz que o pintor", "start": 16306.42, "duration": 4.74}, {"text": "fazia quatro os para serem olhadas", "start": 16309.33, "duration": 5.33}, {"text": "individualmente no plural v\u00e1rios Quadros", "start": 16311.16, "duration": 6.47}, {"text": "e isso \u00e9 sua m\u00e3e pede cara com quatro", "start": 16314.66, "duration": 5.07}, {"text": "desse seu pai t\u00e1 olhando para um agora", "start": 16317.63, "duration": 4.41}, {"text": "que n\u00f3s faz tiver um quadro na minha", "start": 16319.73, "duration": 4.85}, {"text": "casa desse", "start": 16322.04, "duration": 2.54}, {"text": "vamos sair de perto desse quadro para", "start": 16324.7, "duration": 3.821}, {"text": "onde com sonho com bastante for\u00e7a no", "start": 16326.78, "duration": 3.0}, {"text": "comer o dia inteiro a gente vai descer", "start": 16328.521, "duration": 4.349}, {"text": "eu menos a militar contra ela perdeu a", "start": 16329.78, "duration": 5.19}, {"text": "fome obviamente Mas sendo consegue comer", "start": 16332.87, "duration": 3.8}, {"text": "voc\u00ea fez voc\u00ea pode tentar", "start": 16334.97, "duration": 5.49}, {"text": "trazer esse assunto na janta de Talvez", "start": 16336.67, "duration": 6.73}, {"text": "os quadros n\u00e3o seria uma boa ideia se", "start": 16340.46, "duration": 5.04}, {"text": "voc\u00eas acreditaram e voc\u00eas acham que eles", "start": 16343.4, "duration": 3.63}, {"text": "v\u00e3o acreditar como que a gente n\u00e3o vai", "start": 16345.5, "duration": 2.93}, {"text": "acreditar n\u00e3o ci\u00eancia os olhos estava", "start": 16347.03, "duration": 6.441}, {"text": "explodindo menina a rede que voc\u00ea assim", "start": 16348.43, "duration": 7.841}, {"text": "continuo achando que fantasma assim n\u00e3o", "start": 16353.471, "duration": 4.689}, {"text": "existe mas voc\u00ea me deu um caga\u00e7o", "start": 16356.271, "duration": 5.219}, {"text": "entendeu acredito que voc\u00ea viu absoluta", "start": 16358.16, "duration": 6.401}, {"text": "ela apareceu tenho eu sei que eu vi", "start": 16361.49, "duration": 5.92}, {"text": "Ah t\u00e1 ent\u00e3o vamos vamos descer a gente", "start": 16364.561, "duration": 4.679}, {"text": "pode falar para nosso pa\u00eds isso mas", "start": 16367.41, "duration": 3.96}, {"text": "qualquer coisa a gente pode ir s\u00f3 jogar", "start": 16369.24, "duration": 4.861}, {"text": "uma a\u00ed fica assim Putz j\u00e1 me falar de de", "start": 16371.37, "duration": 5.521}, {"text": "algu\u00e9m que talvez tenha perdido a cabe\u00e7a", "start": 16374.101, "duration": 4.379}, {"text": "de olhar sozinho alguma coisa qualquer", "start": 16376.891, "duration": 3.0}, {"text": "coisa assim Acho que eu posso falar", "start": 16378.48, "duration": 3.72}, {"text": "direto para ele sabe ainda era que acho", "start": 16379.891, "duration": 5.189}, {"text": "que voc\u00ea lembra a igreja que ganha cara", "start": 16382.2, "duration": 4.47}, {"text": "que vem com voc\u00eas aqui para ficar na", "start": 16385.08, "duration": 4.74}, {"text": "mans\u00e3o que eles quiserem eu n\u00e3o posso", "start": 16386.67, "duration": 5.131}, {"text": "porque eu sei que \u00e9 ele mas isso ele t\u00e1", "start": 16389.82, "duration": 4.92}, {"text": "a\u00ed com a gente e seu pai super f\u00e3 desse", "start": 16391.801, "duration": 5.879}, {"text": "cantor a\u00ed ser\u00e1 que ele sabe tem alguma", "start": 16394.74, "duration": 4.76}, {"text": "coisa e mesmo assim ele \u00e9 f\u00e3 do seu", "start": 16397.68, "duration": 4.24}, {"text": "Santina \u00e9 uma boa gente falou", "start": 16399.5, "duration": 4.279}, {"text": "e com ele sobre isso mas n\u00e3o que isso", "start": 16401.92, "duration": 3.9}, {"text": "aconteceu Gente pelo amor de Deus o", "start": 16403.779, "duration": 3.721}, {"text": "peixe vai espiar t\u00e1 acontecendo com voc\u00ea", "start": 16405.82, "duration": 3.231}, {"text": "Voc\u00ea", "start": 16407.5, "duration": 4.801}, {"text": "deve para ele j\u00e1 t\u00e1 sim voc\u00ea quando voc\u00ea", "start": 16409.051, "duration": 4.629}, {"text": "saiu com av\u00f3 que j\u00e1 t\u00e1 descendo assim", "start": 16412.301, "duration": 4.199}, {"text": "todo feliz\u00e3o de comer permitir a ele t\u00e1", "start": 16413.68, "duration": 4.019}, {"text": "meio que t\u00e1 tirando para conseguir andar", "start": 16416.5, "duration": 4.23}, {"text": "pelo escuro a e quando voc\u00ea chega na", "start": 16417.699, "duration": 5.612}, {"text": "cozinha A comida t\u00e1 na mesa por", "start": 16420.73, "duration": 4.049}, {"text": "Cavalcante est\u00e1 sentado a Angelina", "start": 16423.311, "duration": 4.699}, {"text": "tamb\u00e9m e o motel n\u00e3o t\u00e1 a\u00ed", "start": 16424.779, "duration": 6.26}, {"text": "e voc\u00eas todos est\u00e3o voc\u00eas t\u00eam pela mesma", "start": 16428.01, "duration": 5.039}, {"text": "que voc\u00eas fazem tem um Lampi\u00e3o em cima", "start": 16431.039, "duration": 3.801}, {"text": "da mesa para iluminar para gente juntas", "start": 16433.049, "duration": 5.041}, {"text": "acrescentando concentra mesa agora ent\u00e3o", "start": 16434.84, "duration": 5.08}, {"text": "certo mas voc\u00ea ent\u00e3o eu esqueci de", "start": 16438.09, "duration": 3.631}, {"text": "avisar Mas quando eu falei com o pai de", "start": 16439.92, "duration": 3.689}, {"text": "voc\u00eas ele falou que ele n\u00e3o ia jantar", "start": 16441.721, "duration": 5.67}, {"text": "que ele tava olhando as coisas l\u00e1 eu n\u00e3o", "start": 16443.609, "duration": 6.811}, {"text": "tenho isso \u00e9 normal todos os quantas", "start": 16447.391, "duration": 4.08}, {"text": "vezes ele n\u00e3o vai jantar ficar", "start": 16450.42, "duration": 2.359}, {"text": "trabalhando", "start": 16451.471, "duration": 4.049}, {"text": "mas voc\u00ea n\u00e3o acha que \u00e9 bom ele comer da", "start": 16452.779, "duration": 5.221}, {"text": "jantinha de boas-vindas", "start": 16455.52, "duration": 5.189}, {"text": "boas-vindas eu vou l\u00e1 tentar convencer", "start": 16458.0, "duration": 4.93}, {"text": "Ent\u00e3o segundinho ela levanta e sai", "start": 16460.709, "duration": 4.32}, {"text": "andando o Cavalcante ele fica olhando", "start": 16462.93, "duration": 3.34}, {"text": "assim", "start": 16465.029, "duration": 4.871}, {"text": "ou ser\u00e1 que ela que quis morreu algu\u00e9m", "start": 16466.27, "duration": 5.33}, {"text": "gente Que cara \u00e9 essa", "start": 16469.9, "duration": 4.559}, {"text": "a B\u00e1rbara que deu um susto nela que acho", "start": 16471.6, "duration": 5.07}, {"text": "que ela nunca tomou antes", "start": 16474.459, "duration": 6.111}, {"text": "eu s\u00f3 t\u00f4 cansada das pessoas", "start": 16476.67, "duration": 3.9}, {"text": "acham a\u00ed vai dormir aqui a beleza e eu", "start": 16481.049, "duration": 6.34}, {"text": "pesquei quero ver quero ver se \u00e9 bom", "start": 16485.049, "duration": 4.31}, {"text": "mesmo", "start": 16487.389, "duration": 6.47}, {"text": "lim\u00e3o em Facebook", "start": 16489.359, "duration": 4.5}, {"text": "quando voc\u00ea vem", "start": 16497.609, "duration": 4.381}, {"text": "normal e ele t\u00e1", "start": 16503.34, "duration": 5.881}, {"text": "na mesa", "start": 16506.789, "duration": 5.102}, {"text": "o bar trabalhar tanto me deixou com uma", "start": 16509.221, "duration": 5.33}, {"text": "fome mesmo a", "start": 16511.891, "duration": 6.199}, {"text": "peixe verdade ele senta e come\u00e7a a comer", "start": 16514.551, "duration": 5.91}, {"text": "a Juliana a senhora tamb\u00e9m puxa cadeira", "start": 16518.09, "duration": 5.021}, {"text": "e a\u00ed gente t\u00e1 olhando porque que n\u00e3o", "start": 16520.461, "duration": 4.33}, {"text": "come\u00e7aram comer o peixe t\u00e1 vai esfriar e", "start": 16523.111, "duration": 3.51}, {"text": "no prato pelo amor dele ele s\u00f3 mexe no", "start": 16524.791, "duration": 4.92}, {"text": "prato s\u00f3 assim n\u00e3o comi nada s\u00f3 mexendo", "start": 16526.621, "duration": 5.75}, {"text": "que isso a\u00ed a gente se juntar mais feliz", "start": 16529.711, "duration": 6.06}, {"text": "eu fiz um super prato \u00e9 que a gente", "start": 16532.371, "duration": 5.74}, {"text": "gasta energia o dia todo n\u00e9 voc\u00ea bater", "start": 16535.771, "duration": 4.2}, {"text": "bastante coisa Fica olhando de l\u00e1 para", "start": 16538.111, "duration": 5.719}, {"text": "c\u00e1 \u00e9 o meu nome dele t\u00e1", "start": 16539.971, "duration": 6.33}, {"text": "o peixe \u00e9 realmente muito bom \u00e9 bem", "start": 16543.83, "duration": 5.5}, {"text": "gordinho \u00e9 essa voc\u00eas voc\u00eas conversam", "start": 16546.301, "duration": 4.859}, {"text": "uma coisa com esse durante adianta eu", "start": 16549.33, "duration": 4.32}, {"text": "quero falar meu pai pode falar eu tava", "start": 16551.16, "duration": 3.551}, {"text": "comendo", "start": 16553.65, "duration": 4.51}, {"text": "e o pai \u00e9 voc\u00ea podia poderia falar mais", "start": 16554.711, "duration": 6.51}, {"text": "sobre essa quest\u00e3o do pessoal que vai", "start": 16558.16, "duration": 7.682}, {"text": "ver os quadros do pintor a porque eles", "start": 16561.221, "duration": 7.14}, {"text": "tem que ir sozinho \u00e9 verdade o que \u00e9", "start": 16565.842, "duration": 5.099}, {"text": "isso Voc\u00ea pesquisou Que orgulho filho n\u00e9", "start": 16568.361, "duration": 5.91}, {"text": "a gente tava eu pesquisei por aqui ah \u00e9", "start": 16570.941, "duration": 6.928}, {"text": "sim o curso Ele tinha essa", "start": 16574.271, "duration": 6.358}, {"text": "e o pessoal chama de qu\u00edmica n\u00e9 nos", "start": 16577.869, "duration": 4.44}, {"text": "Estados Unidos ele tem esse tuc tuc", "start": 16580.629, "duration": 3.871}, {"text": "Zinho onde voc\u00ea s\u00f3 poderia experimentar", "start": 16582.309, "duration": 6.121}, {"text": "o quadro dele sozinho \u00e9 as pessoas", "start": 16584.5, "duration": 6.27}, {"text": "escreviam sentimentos em que nunca", "start": 16588.43, "duration": 4.978}, {"text": "sentiu antes eu infelizmente nunca tive", "start": 16590.77, "duration": 4.919}, {"text": "oportunidade de ter um desses quadros", "start": 16593.408, "duration": 5.131}, {"text": "leg\u00edtimos dele \u00e9 com quadros especiais", "start": 16595.689, "duration": 5.37}, {"text": "Estou buscando o \u00fanico quando que parece", "start": 16598.539, "duration": 4.08}, {"text": "que \u00e9 leg\u00edtimo que eu vi at\u00e9 agora \u00e9 o", "start": 16601.059, "duration": 5.009}, {"text": "retrato na no nos foram principal grande", "start": 16602.619, "duration": 6.529}, {"text": "aquele \u00e9 o Constantino a os outros s\u00e3o", "start": 16606.068, "duration": 6.051}, {"text": "apenas 1", "start": 16609.148, "duration": 6.272}, {"text": "E a\u00ed n\u00e3o vou convidar os por ele entende", "start": 16612.119, "duration": 5.91}, {"text": "voc\u00ea sabe que se cada pessoa que ver com", "start": 16615.42, "duration": 4.049}, {"text": "quase espec\u00edficos senti algo diferente", "start": 16618.029, "duration": 4.02}, {"text": "eu sempre vivo sentimento \u00e9 esse Apple \u00e9", "start": 16619.469, "duration": 3.951}, {"text": "esse \u00e9 o problema", "start": 16622.049, "duration": 4.349}, {"text": "que ele sempre falava que cada cada", "start": 16623.42, "duration": 4.809}, {"text": "pessoa que experimentar o seu quadro", "start": 16626.398, "duration": 4.081}, {"text": "sentir o que estava dentro dela e que", "start": 16628.229, "duration": 3.39}, {"text": "cada pessoa tem uma experi\u00eancia", "start": 16630.479, "duration": 4.441}, {"text": "detergente algo desse tipo e o que te", "start": 16631.619, "duration": 6.891}, {"text": "faz t\u00e3o fascinado pelo pelo pintor", "start": 16634.92, "duration": 5.459}, {"text": "descobrem que o mist\u00e9rio de ele ter", "start": 16638.51, "duration": 5.5}, {"text": "desaparecido depois de ter encontrado o", "start": 16640.379, "duration": 6.42}, {"text": "amor da vida dele e os quadros s\u00e3o", "start": 16644.01, "duration": 4.519}, {"text": "realmente", "start": 16646.799, "duration": 4.5}, {"text": "h\u00e1 pelo menos os poucos registros que", "start": 16648.529, "duration": 6.241}, {"text": "tem do seu quadro ou \u00e9 e s\u00e3o fenomenais", "start": 16651.299, "duration": 5.631}, {"text": "ele n\u00e3o permitiria ningu\u00e9m \u00e9 tirar", "start": 16654.77, "duration": 4.531}, {"text": "fotografias ent\u00e3o quando me ofereceram a", "start": 16656.93, "duration": 4.131}, {"text": "oportunidade de", "start": 16659.301, "duration": 4.019}, {"text": "encontrar os quadros pessoalmente n\u00e3o", "start": 16661.061, "duration": 3.82}, {"text": "tinha como negar voc\u00eas est\u00e3o t\u00e3o", "start": 16663.32, "duration": 4.709}, {"text": "interessados assim meu pintor que quem", "start": 16664.881, "duration": 6.799}, {"text": "vivia \u00e9 o que ele parecia bem gente vira", "start": 16668.029, "duration": 7.352}, {"text": "a gente nem viu essa casa aqui t\u00e1 aquele", "start": 16671.68, "duration": 6.55}, {"text": "construir por mais \u00e9 muito legal saber", "start": 16675.381, "duration": 5.389}, {"text": "que ele veio para pintar tudo bem", "start": 16678.23, "duration": 4.43}, {"text": "controlado", "start": 16680.77, "duration": 4.06}, {"text": "conseguir eu tava analisando os outros", "start": 16682.66, "duration": 4.061}, {"text": "quadros \u00e9 me decepcionei achei que todos", "start": 16684.83, "duration": 4.41}, {"text": "os quadros pintados por Eliane princ\u00edpio", "start": 16686.721, "duration": 4.5}, {"text": "Mas ele tamb\u00e9m era um colecionador de", "start": 16689.24, "duration": 3.869}, {"text": "arte na verdade eu vim com quatro que", "start": 16691.221, "duration": 3.179}, {"text": "n\u00f3s viu mesmo pode ter sido que ele", "start": 16693.109, "duration": 2.231}, {"text": "pinto", "start": 16694.4, "duration": 3.821}, {"text": "e vai da escada lindo lindo eu sei que", "start": 16695.34, "duration": 5.189}, {"text": "voc\u00ea j\u00e1 viu todos quantos aqui isso n\u00e3o", "start": 16698.221, "duration": 6.119}, {"text": "n\u00e3o nem cada quadro o filho demora muito", "start": 16700.529, "duration": 5.371}, {"text": "para analisar Estou vendo um pouco a", "start": 16704.34, "duration": 4.471}, {"text": "pouco eu pr\u00f3ximo eu nem cheguei no", "start": 16705.9, "duration": 4.459}, {"text": "segundo andar que ainda", "start": 16708.811, "duration": 5.039}, {"text": "mas n\u00e3o \u00e9 meio perigoso assim t\u00e1 na ilha", "start": 16710.359, "duration": 6.76}, {"text": "no meio do nada sem pessoas na", "start": 16713.85, "duration": 5.519}, {"text": "abandonado s\u00f3 para mim olhar quadro n\u00e3o", "start": 16717.119, "duration": 4.111}, {"text": "trabalho me perigoso que o Senhor tem", "start": 16719.369, "duration": 4.471}, {"text": "perigoso olhar para imagens belas n\u00e3o", "start": 16721.23, "duration": 5.18}, {"text": "entendo mas voc\u00ea vai para um lugar assim", "start": 16723.84, "duration": 5.189}, {"text": "deslocado muito longe de tudo j\u00e1", "start": 16726.41, "duration": 4.75}, {"text": "conversou com algu\u00e9m que viu quadro do", "start": 16729.029, "duration": 5.43}, {"text": "pintor n\u00e3o ele os quadros deles tem 50", "start": 16731.16, "duration": 5.549}, {"text": "anos de idade e todos eles foram", "start": 16734.459, "duration": 6.301}, {"text": "destru\u00eddos com o tempo o resto que a ele", "start": 16736.709, "duration": 6.0}, {"text": "destruiu os pr\u00f3prios quadros os quadros", "start": 16740.76, "duration": 3.72}, {"text": "\u00e9 um tempo raros n\u00e3o seja tamb\u00e9m tem o", "start": 16742.709, "duration": 3.211}, {"text": "que significa ningu\u00e9m nunca entendeu", "start": 16744.48, "duration": 2.42}, {"text": "muito bem", "start": 16745.92, "duration": 2.98}, {"text": "um", "start": 16746.9, "duration": 2.0}, {"text": "bom", "start": 16749.77, "duration": 4.121}, {"text": "empres\u00e1rio ver que voc\u00ea t\u00e3o interessado", "start": 16751.361, "duration": 6.129}, {"text": "n\u00e3o n\u00e3o Constantino n\u00e3o tem tanta coisa", "start": 16753.891, "duration": 5.31}, {"text": "assim para fazer na ilha n\u00e9 ent\u00e3o a", "start": 16757.49, "duration": 3.211}, {"text": "gente viu essa no\u00e7\u00e3o tanto arranjo", "start": 16759.201, "duration": 3.869}, {"text": "docinho \u00e9 o peixe quer falar nada n\u00e9 T\u00e1", "start": 16760.701, "duration": 5.838}, {"text": "excelentes o peixe pode eu falei", "start": 16763.07, "duration": 4.27}, {"text": "Eu", "start": 16766.539, "duration": 3.18}, {"text": "particularmente faz muito tempo que eu", "start": 16767.34, "duration": 3.939}, {"text": "n\u00e3o como uma comida t\u00e3o boa ent\u00e3o", "start": 16769.719, "duration": 3.48}, {"text": "obrigada viu faz um tempo que eu n\u00e3o", "start": 16771.279, "duration": 4.2}, {"text": "como pr\u00f3prio que eu pe\u00e7o ent\u00e3o estou", "start": 16773.199, "duration": 4.529}, {"text": "feliz em poder finalmente saber como \u00e9", "start": 16775.479, "duration": 4.531}, {"text": "que \u00e9 o peixe \u00e9 bom para bem obrigado t\u00e1", "start": 16777.728, "duration": 4.292}, {"text": "bom Eu terminei de comer vou voltar ao", "start": 16780.01, "duration": 3.558}, {"text": "trabalho", "start": 16782.02, "duration": 4.23}, {"text": "e v\u00e3o dormir logo que todos voc\u00eas est\u00e3o", "start": 16783.568, "duration": 4.302}, {"text": "bem cansados d\u00e1 para ver na carreira mas", "start": 16786.25, "duration": 3.872}, {"text": "ele especialmente", "start": 16787.87, "duration": 3.86}, {"text": "quem \u00e9", "start": 16790.122, "duration": 4.67}, {"text": "e \u00e9 tem internet n\u00e9 filha n\u00e3o tem como", "start": 16791.73, "duration": 5.79}, {"text": "ai eu tamb\u00e9m estou a 3 a caracter\u00edstica", "start": 16794.792, "duration": 5.188}, {"text": "uma textura super Twitter n\u00e3o d\u00e1 ela", "start": 16797.52, "duration": 4.49}, {"text": "empurrou o prato sem querer", "start": 16799.98, "duration": 5.82}, {"text": "o carro \u00e9 de bom ele levanta Voc\u00ea tava", "start": 16802.01, "duration": 6.9}, {"text": "l\u00e1 del\u00edcia ao Prato Senhora eu vou l\u00e1", "start": 16805.8, "duration": 5.732}, {"text": "dormir que eu t\u00f4 cansado Uma boa noite", "start": 16808.91, "duration": 4.68}, {"text": "para todo mundo boa noite oi", "start": 16811.532, "duration": 5.188}, {"text": "vou retirar e o motel tamb\u00e9m se levanta", "start": 16813.59, "duration": 6.39}, {"text": "a Angelina fica um tempinho assim", "start": 16816.72, "duration": 5.66}, {"text": "Oi t\u00e1 tudo bem filha tu t\u00e1 meio estranho", "start": 16819.98, "duration": 3.56}, {"text": "n\u00e3o t\u00f4", "start": 16822.38, "duration": 4.698}, {"text": "o m\u00e3e eu acho que eu n\u00e3o sei se eu t\u00f4", "start": 16823.54, "duration": 5.57}, {"text": "ficando maluca", "start": 16827.078, "duration": 5.512}, {"text": "eu acho que ela tava coisa", "start": 16829.11, "duration": 7.288}, {"text": "tenta\u00e7\u00e3o coisa ent\u00e3o vai ficar aqui mais", "start": 16832.59, "duration": 6.67}, {"text": "deve t\u00e1 com saudade de mexer na internet", "start": 16836.398, "duration": 5.862}, {"text": "n\u00e9 era uma Eu tamb\u00e9m estou um pouco", "start": 16839.26, "duration": 4.648}, {"text": "nervosa ansiosa assim amanh\u00e3 a gente vai", "start": 16842.26, "duration": 3.058}, {"text": "para poder para praia tomar um solzinho", "start": 16843.908, "duration": 3.932}, {"text": "de manhazinha que que voc\u00ea acha \u00e9 uma", "start": 16845.318, "duration": 4.83}, {"text": "excelente ideia praia \u00f3tima Olha eu sou", "start": 16847.84, "duration": 5.61}, {"text": "um biqu\u00edni um praia deserta ainda n\u00e9", "start": 16850.148, "duration": 5.222}, {"text": "voc\u00ea deve conhecer minhas praias daqui", "start": 16853.45, "duration": 3.9}, {"text": "n\u00e3o \u00e9 um lugar legal para gente ir Claro", "start": 16855.37, "duration": 4.83}, {"text": "claro n\u00e3o tem tantas praias assim n\u00e9 mas", "start": 16857.35, "duration": 6.448}, {"text": "tem tem a praia eu t\u00f4 perto de voc\u00ea moro", "start": 16860.2, "duration": 6.09}, {"text": "perto eu t\u00f4 percebendo que t\u00e1 rolando um", "start": 16863.798, "duration": 3.482}, {"text": "clima e acho que eu t\u00f4 interrompendo", "start": 16866.29, "duration": 3.72}, {"text": "alguma coisa eu vou para o meu quarto se", "start": 16867.28, "duration": 5.31}, {"text": "voc\u00eas quiserem \u00e9 mais alguma coisa com", "start": 16870.01, "duration": 4.41}, {"text": "condinha voc\u00ea sabe onde eu t\u00f4 dormindo", "start": 16872.59, "duration": 4.01}, {"text": "uma boa noite meninos", "start": 16874.42, "duration": 5.238}, {"text": "oi oi", "start": 16876.6, "duration": 3.058}, {"text": "Ah t\u00e1 voc\u00eas falaram que o pintor estava", "start": 16880.79, "duration": 5.58}, {"text": "enlouquecendo' esse a gente destruiu", "start": 16883.488, "duration": 4.442}, {"text": "aquele quadro", "start": 16886.37, "duration": 4.62}, {"text": "e antes do pai voc\u00eas vai eu acho que vou", "start": 16887.93, "duration": 5.16}, {"text": "explicar isso para ele eu acho rela\u00e7\u00e3o", "start": 16890.99, "duration": 4.65}, {"text": "canais Ningu\u00e9m chega perto daquele", "start": 16893.09, "duration": 4.378}, {"text": "quadro tamb\u00e9m acho que n\u00e3o eu acho", "start": 16895.64, "duration": 4.89}, {"text": "melhor deixar tampado ele vai tirar o", "start": 16897.468, "duration": 5.482}, {"text": "len\u00e7ol vai ficar louco", "start": 16900.53, "duration": 5.88}, {"text": "ent\u00e3o alguma coisa por qu\u00ea que ele fazia", "start": 16902.95, "duration": 6.73}, {"text": "isso se ele estava enlouquecendo e as", "start": 16906.41, "duration": 4.92}, {"text": "obras precisavam ser individuais Ser\u00e1", "start": 16909.68, "duration": 3.69}, {"text": "que a gente viu como \u00e9 que ela ficou", "start": 16911.33, "duration": 4.08}, {"text": "maluca Ser\u00e1 que ele tava de alguma forma", "start": 16913.37, "duration": 3.38}, {"text": "n\u00e3o sei como", "start": 16915.41, "duration": 4.08}, {"text": "me roubando a sanidade das pessoas para", "start": 16916.75, "duration": 5.92}, {"text": "ele voltar a sess\u00e3o ou c\u00ea pesca peixe eu", "start": 16919.49, "duration": 5.79}, {"text": "mexo com um Terra eles fazem l\u00e1 eu o que", "start": 16922.67, "duration": 4.86}, {"text": "que que n\u00f3s vai se meter com o fantasma", "start": 16925.28, "duration": 4.23}, {"text": "da menina Vamos destruir o resto n\u00e3o", "start": 16927.53, "duration": 3.178}, {"text": "quer fazer se eu posso a vida toda eu", "start": 16929.51, "duration": 4.32}, {"text": "consigo nata Abner Voc\u00ea lembra que a", "start": 16930.708, "duration": 6.242}, {"text": "mo\u00e7a do quadro falou para voc\u00ea e eu", "start": 16933.83, "duration": 5.28}, {"text": "lembro essa Voc\u00ea lembra se voc\u00ea voc\u00ea", "start": 16936.95, "duration": 4.49}, {"text": "lembra que voc\u00ea lembrou t\u00e1", "start": 16939.11, "duration": 5.3}, {"text": "e ela falou com a minha assim voc\u00ea", "start": 16941.44, "duration": 4.56}, {"text": "acabou com a minha vida ela Gritou", "start": 16944.41, "duration": 2.45}, {"text": "comigo", "start": 16946.0, "duration": 4.138}, {"text": "voc\u00ea abre me tirou com vida dela ent\u00e3o", "start": 16946.86, "duration": 5.38}, {"text": "se esse o pintor tivesse colocado os", "start": 16950.138, "duration": 3.932}, {"text": "sentimentos dele no quadro para mim o", "start": 16952.24, "duration": 3.45}, {"text": "que retratam o momento da vida dele", "start": 16954.07, "duration": 4.228}, {"text": "entendeu E voc\u00ea tava no papel da pintura", "start": 16955.69, "duration": 6.81}, {"text": "ele n\u00e3o ele matou ela e ele prendeu ela", "start": 16958.298, "duration": 8.16}, {"text": "l\u00e1 dentro entendeu Nossa informa\u00e7\u00e3o pode", "start": 16962.5, "duration": 7.35}, {"text": "e ele prendeu ela l\u00e1 dentro ela t\u00e1 presa", "start": 16966.458, "duration": 5.282}, {"text": "l\u00e1 ela me olhou no fundo dos meus olhos", "start": 16969.85, "duration": 5.22}, {"text": "e tudo que eu senti era nada ent\u00e3o", "start": 16971.74, "duration": 5.818}, {"text": "talvez ele tava pintando ela e ele pedia", "start": 16975.07, "duration": 4.888}, {"text": "sempre para ela ir ficar olhando quatro", "start": 16977.558, "duration": 4.562}, {"text": "ela falou que esse ano cada vez mais at\u00e9", "start": 16979.958, "duration": 5.732}, {"text": "que ele matou ela eu n\u00e3o vou deixar", "start": 16982.12, "duration": 5.73}, {"text": "aquele quadro l\u00e1 para algu\u00e9m se machucar", "start": 16985.69, "duration": 4.438}, {"text": "eu vou destruir aquele quadro voc\u00ea n\u00e3o", "start": 16987.85, "duration": 3.6}, {"text": "vai conseguir destruir aqui de quatro", "start": 16990.128, "duration": 3.872}, {"text": "tempo uma coisa ele t\u00e1 ele t\u00e1 preso", "start": 16991.45, "duration": 5.79}, {"text": "natureza t\u00e1 gente \u00e9 s\u00f3 14 que \u00e9 s\u00f3 um", "start": 16994.0, "duration": 5.67}, {"text": "quadro/3 ou 4 depois de tudo que voc\u00ea", "start": 16997.24, "duration": 6.16}, {"text": "que \u00e9 s\u00f3 quadro A se tiver junto essas", "start": 16999.67, "duration": 5.022}, {"text": "coisas n\u00e3o pode ser importante para", "start": 17003.4, "duration": 2.972}, {"text": "gente verificar depois se a gente", "start": 17004.692, "duration": 4.1}, {"text": "chegasse quatro", "start": 17006.372, "duration": 5.97}, {"text": "ficado presa l\u00e1 dentro voc\u00ea falou ela t\u00e1", "start": 17008.792, "duration": 6.16}, {"text": "presa dentro do quadro com mais ela n\u00e3o", "start": 17012.342, "duration": 5.69}, {"text": "cadeado cadeado Ela t\u00e1 presa aqui", "start": 17014.952, "duration": 6.268}, {"text": "por causa do quadro", "start": 17018.032, "duration": 6.268}, {"text": "me perguntam se destruiu o quadro era", "start": 17021.22, "duration": 7.07}, {"text": "fica livre n\u00e3o sei se ela fica Livre", "start": 17024.3, "duration": 6.268}, {"text": "e eu acho que o certo primeiro \u00e9 a chave", "start": 17028.29, "duration": 7.288}, {"text": "que t\u00e1 T\u00e1 fazer seis dos Pais de voc\u00eas", "start": 17030.568, "duration": 8.4}, {"text": "do outro mo\u00e7o que t\u00e1 aqui para deixar o", "start": 17035.578, "duration": 6.362}, {"text": "quadro no final do Corredor mas \u00e9 a", "start": 17038.968, "duration": 6.302}, {"text": "\u00fanica pista que a gente tem at\u00e9 agora se", "start": 17041.94, "duration": 5.34}, {"text": "voc\u00ea destr\u00f3i Ela acabou saiu mulher", "start": 17045.27, "duration": 5.67}, {"text": "acabou entendeu n\u00e9", "start": 17047.28, "duration": 6.09}, {"text": "e eu tamb\u00e9m voc\u00ea sua presen\u00e7a n\u00e9 n\u00e3o sei", "start": 17050.94, "duration": 5.75}, {"text": "falar que era uma intelecto \u00e9 9", "start": 17053.37, "duration": 6.95}, {"text": "12 18", "start": 17056.69, "duration": 3.63}, {"text": "vai ficar l\u00e1 e vai enlouquecer voc\u00eas", "start": 17064.94, "duration": 5.56}, {"text": "querem correr o risco da mulher", "start": 17068.67, "duration": 4.378}, {"text": "enlouquecer a m\u00e3e de voc\u00eas ainda mais", "start": 17070.5, "duration": 5.04}, {"text": "voc\u00eas vai fazer xixi de madrugada passa", "start": 17073.048, "duration": 5.092}, {"text": "na frente do quadro a mulher eita", "start": 17075.54, "duration": 4.45}, {"text": "Ah t\u00e1 \u00e9", "start": 17078.14, "duration": 4.62}, {"text": "no comida que ela tenha ficado de alguma", "start": 17079.99, "duration": 5.07}, {"text": "maneira mais forte porque ela", "start": 17082.76, "duration": 6.022}, {"text": "enlouqueceu a Aline", "start": 17085.06, "duration": 5.95}, {"text": "n\u00e3o sei eu n\u00e3o sei o que fazer eu n\u00e3o", "start": 17088.782, "duration": 3.698}, {"text": "sei fazer \u00f3 fiz eu n\u00e3o sei fazer em", "start": 17091.01, "duration": 3.092}, {"text": "cansado n\u00e3o \u00e9 preciso preservar essas", "start": 17092.48, "duration": 3.24}, {"text": "coisas come\u00e7ando a sentir o sono batendo", "start": 17094.102, "duration": 4.278}, {"text": "e o cansa\u00e7o bater no tamb\u00e9m eu", "start": 17095.72, "duration": 6.87}, {"text": "a gente precisa dormir mas vamos ver", "start": 17098.38, "duration": 6.04}, {"text": "tudo isso banho preciso descansar ela", "start": 17102.59, "duration": 3.782}, {"text": "descansa por favor eu acho que nem vai", "start": 17104.42, "duration": 3.63}, {"text": "chegar perto daquele quadro at\u00e9 amanh\u00e3", "start": 17106.372, "duration": 4.018}, {"text": "de manh\u00e3 n\u00e3o vai deixar sua irm\u00e3 dormir", "start": 17108.05, "duration": 6.7}, {"text": "sozinho tamb\u00e9m com voc\u00ea por favor", "start": 17110.39, "duration": 8.35}, {"text": "\u00e9 longe daquele quatro s\u00f3 se for agora o", "start": 17114.75, "duration": 6.21}, {"text": "colch\u00e3o do quarto da menina levar para o", "start": 17118.74, "duration": 8.01}, {"text": "seu voc\u00eas pelo menos pele companhia \u00e9 a", "start": 17120.96, "duration": 9.9}, {"text": "Mili voc\u00ea recuperou: cidade porque antes", "start": 17126.75, "duration": 6.9}, {"text": "n\u00e3o se voc\u00ea jogou com meu peixe n\u00e3o t\u00e1", "start": 17130.86, "duration": 4.19}, {"text": "Ent\u00e3o", "start": 17133.65, "duration": 3.5}, {"text": "olha", "start": 17135.05, "duration": 5.56}, {"text": "aqui o Qual seu prato preferido preciso", "start": 17137.15, "duration": 7.71}, {"text": "da Mirim strogonozes ent\u00e3o n\u00e3o era", "start": 17140.61, "duration": 4.25}, {"text": "voc\u00ea tiver uma refei\u00e7\u00e3o nutritiva algu\u00e9m", "start": 17148.64, "duration": 5.23}, {"text": "perdeu vida n\u00e3o que aplicam uma do lado", "start": 17151.8, "duration": 3.37}, {"text": "ent\u00e3o alguns n\u00f3s", "start": 17153.87, "duration": 5.55}, {"text": "o Roni vai comer peixe eu vou ver se", "start": 17155.17, "duration": 6.69}, {"text": "amanh\u00e3 a gente resolve isso aqui ent\u00e3o", "start": 17159.42, "duration": 4.75}, {"text": "pode ser vamos agora descansar eu acho", "start": 17161.86, "duration": 4.68}, {"text": "que ele teve um dia bastante ruim para", "start": 17164.17, "duration": 5.43}, {"text": "ela ent\u00e3o t\u00e1 mente o que faz 14 mas eu", "start": 17166.54, "duration": 4.2}, {"text": "chuto que ningu\u00e9m vai chegar perto", "start": 17169.6, "duration": 2.85}, {"text": "daquele quadro at\u00e9 porque tamb\u00e9m Tava", "start": 17170.74, "duration": 5.61}, {"text": "ajudando ele e a gente pode acordar de", "start": 17172.45, "duration": 7.11}, {"text": "manh\u00e3 e a gente decidi fazer t\u00e1 T\u00e1 bom", "start": 17176.35, "duration": 7.16}, {"text": "pode ser T\u00e1 eu vou pegar o", "start": 17179.56, "duration": 10.41}, {"text": "na minha m\u00e3o e eu vou eu vou oro por", "start": 17183.51, "duration": 10.12}, {"text": "voc\u00ea posso tchau com isso voc\u00ea s\u00f3 tem", "start": 17189.97, "duration": 5.22}, {"text": "uma luz ent\u00e3o voc\u00ea puder comprar a gente", "start": 17193.63, "duration": 5.6}, {"text": "favor voc\u00eas todos somem ent\u00e3o para o", "start": 17195.19, "duration": 6.03}, {"text": "segundo andar de eu pegar botar voc\u00eas", "start": 17199.23, "duration": 6.7}, {"text": "aqui e voc\u00eas arrast\u00e3o um colch\u00e3o de de", "start": 17201.22, "duration": 6.06}, {"text": "um quarto para o outro voc\u00ea n\u00e3o o quarto", "start": 17205.93, "duration": 3.39}, {"text": "do aliviar n\u00e9 que \u00e9 o oposto do que n\u00e3o", "start": 17207.28, "duration": 4.44}, {"text": "alto t\u00e1 perto do quadro isso t\u00e1 \u00e9 uma em", "start": 17209.32, "duration": 4.26}, {"text": "cima voc\u00eas todos ent\u00e3o n\u00e3o tem como", "start": 17211.72, "duration": 4.182}, {"text": "colocar aqui uma Pinha mais tem 2 a cama", "start": 17213.58, "duration": 5.532}, {"text": "do Miguel e o colch\u00e3o do lado perfeito", "start": 17215.902, "duration": 4.728}, {"text": "e da cama", "start": 17219.112, "duration": 4.83}, {"text": "l\u00e1 ent\u00e3o acho que isso Obrigado pela", "start": 17220.63, "duration": 4.902}, {"text": "ajuda a\u00ed a\u00ed eu vou ficar com dela a", "start": 17223.942, "duration": 4.458}, {"text": "ficar tudo bem j\u00e1 t\u00e1 de almeir\u00e3o", "start": 17225.532, "duration": 5.55}, {"text": "ainda t\u00f4 com muito medo mas eu vou ficar", "start": 17228.4, "duration": 4.24}, {"text": "aqui eu vou eu s\u00f3 vou dormir quando voc\u00ea", "start": 17231.082, "duration": 4.68}, {"text": "dormir t\u00e1 bom obrigado e n\u00e3o se deve \u00e0", "start": 17232.64, "duration": 5.82}, {"text": "vontade de fazer xixi vai os dois terem", "start": 17235.762, "duration": 5.698}, {"text": "Como est\u00e1 sendo isso \u00e9 verdade eu n\u00e3o", "start": 17238.46, "duration": 4.59}, {"text": "vou ficar sendo n\u00f3s aqui dentro n\u00e3o vai", "start": 17241.46, "duration": 3.782}, {"text": "ficar um Lampi\u00e3o \u00e9 tem uma pe\u00e3o que t\u00e1", "start": 17243.05, "duration": 4.322}, {"text": "na sua m\u00e3o vou dizer a ele Nossa", "start": 17245.242, "duration": 4.04}, {"text": "desculpa", "start": 17247.372, "duration": 4.47}, {"text": "bom esse Lampi\u00e3o nem meu Na verdade o", "start": 17249.282, "duration": 3.81}, {"text": "que que ele estava", "start": 17251.842, "duration": 3.53}, {"text": "todo Barnab\u00e9", "start": 17253.092, "duration": 5.92}, {"text": "em casa para amanh\u00e3 para c\u00e1 e a gente", "start": 17255.372, "duration": 5.5}, {"text": "vai no escuro at\u00e9 l\u00e1 embaixo me fez n\u00e3o", "start": 17259.012, "duration": 4.5}, {"text": "querem n\u00e3o sei voc\u00ea consegue levar gente", "start": 17260.872, "duration": 3.928}, {"text": "at\u00e9 l\u00e1 em baixo t\u00e1 at\u00e9 sair daquilo", "start": 17263.512, "duration": 4.028}, {"text": "menos Acredite Lu\u00eds e eu posso liminar", "start": 17264.8, "duration": 4.958}, {"text": "de cima t\u00e1 n\u00e3o n\u00e3o cansa Mas voc\u00ea", "start": 17267.54, "duration": 3.388}, {"text": "consegue acompanhar eles at\u00e9 l\u00e1 embaixo", "start": 17269.758, "duration": 3.48}, {"text": "vontade de seguir no mini-mapa aqui \u00f3", "start": 17270.928, "duration": 4.56}, {"text": "voc\u00ea ent\u00e3o pode fechar a tela da no\u00e7\u00e3o", "start": 17273.238, "duration": 5.58}, {"text": "antes de voc\u00ea a\u00ed fica com a flor n\u00e3o sei", "start": 17275.488, "duration": 5.372}, {"text": "se voc\u00ea gosta de flor mas ela sempre me", "start": 17278.818, "duration": 5.1}, {"text": "protege e eu tenho mais no Jardim foi", "start": 17280.86, "duration": 5.75}, {"text": "muito fofo mas", "start": 17283.918, "duration": 7.382}, {"text": "mais 87 verdade j\u00e1 chegou a\u00ed", "start": 17286.61, "duration": 8.832}, {"text": "E ai obrigada Deus boa noite viu Boa", "start": 17291.3, "duration": 6.652}, {"text": "noite vem aqui amanh\u00e3 de manh\u00e3 para", "start": 17295.442, "duration": 5.188}, {"text": "voc\u00eas ent\u00e3o voc\u00ea tem uma porta no seu", "start": 17297.952, "duration": 6.758}, {"text": "agora se despedindo ok a gente se v\u00ea", "start": 17300.63, "duration": 5.302}, {"text": "amanh\u00e3 ent\u00e3o", "start": 17304.71, "duration": 5.76}, {"text": "B\u00e1rbara voc\u00ea vai botar nesse escuro \u00e9", "start": 17305.932, "duration": 6.548}, {"text": "isso que ia falar amanh\u00e3 a gente sente", "start": 17310.47, "duration": 3.51}, {"text": "quiser resolver Isso prova que meu pai", "start": 17312.48, "duration": 2.94}, {"text": "vai passar mais uma noite vez que ele", "start": 17313.98, "duration": 3.75}, {"text": "n\u00e3o vai nem perceber a aus\u00eancia se eu", "start": 17315.42, "duration": 5.192}, {"text": "puder ficar na sua casa agora pelo amor", "start": 17317.73, "duration": 5.18}, {"text": "de Deus ent\u00e3o t\u00e1 bom", "start": 17320.612, "duration": 5.608}, {"text": "voc\u00eas v\u00e3o ent\u00e3o juntos para casa da casa", "start": 17322.91, "duration": 5.862}, {"text": "da B\u00e1rbara perfeito voc\u00eas chegam na casa", "start": 17326.22, "duration": 5.37}, {"text": "da B\u00e1rbara juntos a voc\u00ea voc\u00ea sabe mas", "start": 17328.772, "duration": 4.318}, {"text": "n\u00e3o d\u00e1 para ver assim a lua at\u00e9 ganhando", "start": 17331.59, "duration": 4.592}, {"text": "pouco melhor o ambiente deixa colocar as", "start": 17333.09, "duration": 6.272}, {"text": "luzes de noite a\u00ed e tem uma luz da vida", "start": 17336.182, "duration": 7.08}, {"text": "da pr\u00f3pria casa por causa da aqui n\u00e9 a", "start": 17339.362, "duration": 6.706}, {"text": "Live est\u00e1 em casa bom ent\u00e3o voc\u00ea", "start": 17343.262, "duration": 4.608}, {"text": "consegue seguir o Lampi\u00e3o que fica", "start": 17346.068, "duration": 4.73}, {"text": "pendurado na janela perfeita \u00e9", "start": 17347.87, "duration": 6.558}, {"text": "lindo \u00e9 poss\u00edvel que dona L\u00edvia esteja", "start": 17350.798, "duration": 5.16}, {"text": "acordada", "start": 17354.428, "duration": 6.334}, {"text": "devo nada para ela n\u00e9 Eu acho", "start": 17355.958, "duration": 8.584}, {"text": "e voc\u00eas chegam na frente da da casa", "start": 17360.762, "duration": 5.84}, {"text": "desculpa porque na feij\u00e3o s\u00e3o", "start": 17364.542, "duration": 4.56}, {"text": "voc\u00ea abre a porta devagarinho uma", "start": 17366.602, "duration": 4.75}, {"text": "pergunta pendurado na frente uma bem o", "start": 17369.102, "duration": 3.66}, {"text": "que n\u00e3o d\u00e1 para tirar n\u00e9 s\u00f3 uma coisinha", "start": 17371.352, "duration": 2.88}, {"text": "pode t\u00e1 aqui t\u00e1 tirar mas d\u00e1 um", "start": 17372.762, "duration": 4.22}, {"text": "trabalhinho voc\u00ea entra e a casa t\u00e1 vazia", "start": 17374.232, "duration": 5.88}, {"text": "j\u00e1 \u00e9 quase 11 horas da noite promete", "start": 17376.982, "duration": 5.04}, {"text": "aliviar j\u00e1 est\u00e1 dormindo", "start": 17380.112, "duration": 4.74}, {"text": "fa\u00e7a um sil\u00eancio Zinho assim t\u00e3o", "start": 17382.022, "duration": 4.438}, {"text": "molhadinho", "start": 17384.852, "duration": 4.77}, {"text": "esperto efetividade voc\u00eas dois atividade", "start": 17386.46, "duration": 7.17}, {"text": "\u00e9 \u00e9 agilidade e", "start": 17389.622, "duration": 4.008}, {"text": "h\u00e1 18 t\u00e1", "start": 17394.81, "duration": 7.35}, {"text": "era tipo Liter\u00e1rio de 25 voc\u00eas entram", "start": 17398.042, "duration": 7.418}, {"text": "voc\u00ea faz pouco de barulho pisa mais ela", "start": 17402.16, "duration": 4.59}, {"text": "se ela tiver em casa ela tava muito", "start": 17405.46, "duration": 4.68}, {"text": "b\u00eabada e Mayara de sono j\u00e1 voc\u00eas chegam", "start": 17406.75, "duration": 6.9}, {"text": "ent\u00e3o e v\u00e3o dormir como \u00e9 meu estic\u00e3o no", "start": 17410.14, "duration": 5.49}, {"text": "ch\u00e3o para ele uma cobertinha ou", "start": 17413.65, "duration": 3.962}, {"text": "travesseirinho sem bota no no ch\u00e3ozinho", "start": 17415.63, "duration": 4.61}, {"text": "ali do ladinho da minha cama perfeito", "start": 17417.612, "duration": 5.458}, {"text": "voc\u00eas alguma coisa de mim \u00e9 porque eu", "start": 17420.24, "duration": 5.98}, {"text": "sei que a ocasi\u00e3o n\u00e3o \u00e9 melhor mas \u00e9 bom", "start": 17423.07, "duration": 5.792}, {"text": "a gente estar junto e chegando alguma", "start": 17426.22, "duration": 5.52}, {"text": "coisa t\u00e1 certo de noite de pelo menos", "start": 17428.862, "duration": 6.26}, {"text": "pelos velhos tempos sim boa noite", "start": 17431.74, "duration": 5.52}, {"text": "obrigado por deixar eu ficar aqui e \u00e9", "start": 17435.122, "duration": 5.378}, {"text": "isso por favor sair de casa s\u00f3 vai ter", "start": 17437.26, "duration": 5.09}, {"text": "que voc\u00ea n\u00e3o vem sem falta", "start": 17440.5, "duration": 4.4}, {"text": "e vai sair de casa obrigado boa noite", "start": 17442.35, "duration": 6.448}, {"text": "minhas irm\u00e3s est\u00e3o voc\u00eas dois est\u00e3o no", "start": 17444.9, "duration": 7.37}, {"text": "quarto de voc\u00eas a", "start": 17448.798, "duration": 6.622}, {"text": "falam conversa antes de dormir", "start": 17452.27, "duration": 6.16}, {"text": "qualquer coisa se precisar eu t\u00f4 aqui no", "start": 17455.42, "duration": 4.958}, {"text": "celular troca de poeira eu t\u00f4 com medo", "start": 17458.43, "duration": 4.65}, {"text": "eu t\u00f4 aqui nada vai acontecer a gente t\u00e1", "start": 17460.378, "duration": 4.292}, {"text": "bom quadro estava seguro estamos com", "start": 17463.08, "duration": 4.23}, {"text": "Luiz n\u00e3o olhar fechado a gente n\u00e3o t\u00e1 se", "start": 17464.67, "duration": 4.92}, {"text": "Google aqui dentro eu t\u00f4 com voc\u00ea ent\u00e3o", "start": 17467.31, "duration": 4.04}, {"text": "t\u00e1 seguro n\u00e3o t\u00e1 mais sozinha", "start": 17469.59, "duration": 6.41}, {"text": "t\u00e1 pode ficar tranquila T\u00e1 bom", "start": 17471.35, "duration": 7.108}, {"text": "[M\u00fasica]", "start": 17476.0, "duration": 5.94}, {"text": "mais um verdade", "start": 17478.458, "duration": 3.482}, {"text": "para dormir e antes de a gente acabar", "start": 17490.73, "duration": 4.28}, {"text": "esse epis\u00f3dio", "start": 17493.468, "duration": 2.852}, {"text": "e", "start": 17495.01, "duration": 5.03}, {"text": "os acordos os dois", "start": 17496.32, "duration": 6.34}, {"text": "voc\u00ea n\u00e3o sabe que horas s\u00e3o o nome", "start": 17500.04, "duration": 5.35}, {"text": "outras vezes t\u00e1 tem alguma hora da", "start": 17502.66, "duration": 4.79}, {"text": "madrugada", "start": 17505.39, "duration": 4.26}, {"text": "voc\u00eas escutam", "start": 17507.45, "duration": 5.02}, {"text": "em Passos", "start": 17509.65, "duration": 4.94}, {"text": "e no terceiro andar", "start": 17512.47, "duration": 4.4}, {"text": "voc\u00eas curtam", "start": 17514.59, "duration": 2.93}, {"text": "o", "start": 17516.87, "duration": 5.07}, {"text": "Iago arrastando \u00e0", "start": 17517.52, "duration": 4.42}, {"text": "e", "start": 17522.16, "duration": 3.02}, {"text": "voc\u00eas fazem alguma coisa", "start": 17522.81, "duration": 5.542}, {"text": "e tem algo andando em cima de voc\u00eas \u00e9", "start": 17525.18, "duration": 5.39}, {"text": "G1", "start": 17528.352, "duration": 3.888}, {"text": "e o seu visto", "start": 17530.57, "duration": 4.362}, {"text": "eu vi isso", "start": 17532.24, "duration": 4.902}, {"text": "e eu t\u00f4 falando com voc\u00ea", "start": 17534.932, "duration": 4.56}, {"text": "t\u00e1 eu n\u00e3o vou esquecer n\u00e3o sei o que que", "start": 17537.142, "duration": 5.02}, {"text": "\u00e9 fazer uma pessoa algu\u00e9m saiu melhor", "start": 17539.492, "duration": 4.8}, {"text": "segura a gente sair agora viu que o", "start": 17542.162, "duration": 6.03}, {"text": "papai trabalhando pode ser prometer Mas", "start": 17544.292, "duration": 5.85}, {"text": "eu acho melhor descansar por agora eu", "start": 17548.192, "duration": 4.41}, {"text": "tamb\u00e9m acho a gente pode voltar dormir", "start": 17550.142, "duration": 5.75}, {"text": "com certeza podem voltar nele", "start": 17552.602, "duration": 6.39}, {"text": "o primeiro epis\u00f3dio de um terreno a\u00ed a", "start": 17555.892, "duration": 5.19}, {"text": "[\u00a0__\u00a0] que maioria de N\u00f3s", "start": 17558.992, "duration": 5.45}, {"text": "precisa disso [\u00a0__\u00a0]", "start": 17561.082, "duration": 6.84}, {"text": "no cu da", "start": 17564.442, "duration": 3.48}, {"text": "[\u00a0__\u00a0]", "start": 17568.13, "duration": 3.0}, {"text": "Talvez seja um pouco mais longos do que", "start": 17571.312, "duration": 3.76}, {"text": "eram os outros de ordem porque a gente", "start": 17573.452, "duration": 4.008}, {"text": "tem uma hist\u00f3ria muito louco para contar", "start": 17575.072, "duration": 5.72}, {"text": "t\u00e1 muito legal ent\u00e3o \u00e9 muito bem", "start": 17577.46, "duration": 5.282}, {"text": "opini\u00f5es", "start": 17580.792, "duration": 6.178}, {"text": "teorias fique \u00e0 vontade de", "start": 17582.742, "duration": 8.7}, {"text": "ser muito bom Agora", "start": 17586.97, "duration": 4.472}, {"text": "quase morrendo tutorial em [\u00a0__\u00a0] o velho", "start": 17592.492, "duration": 5.258}, {"text": "mas eu vi resposta ser\u00e1 nas urnas Elvis", "start": 17595.78, "duration": 6.5}, {"text": "t\u00e1 bom 2012 incr\u00edvel Boa Muito [\u00a0__\u00a0]", "start": 17597.75, "duration": 8.458}, {"text": "Obrigado por terem aceitado", "start": 17602.28, "duration": 6.608}, {"text": "participar estou muito feliz muito", "start": 17606.208, "duration": 4.122}, {"text": "orgulhoso deu tudo muito certo voc\u00ea", "start": 17608.888, "duration": 3.75}, {"text": "demais nossa se tivesse se tivesse", "start": 17610.33, "duration": 4.02}, {"text": "escrito o roteiro endere\u00e7o da tem um Gol", "start": 17612.638, "duration": 4.982}, {"text": "para o bagulho bom demais obrigado a", "start": 17614.35, "duration": 5.878}, {"text": "voc\u00ea por ter at\u00e9 aqui a gente se ver", "start": 17617.62, "duration": 4.348}, {"text": "s\u00e1bado que vem \u00e0s 8:00 por pr\u00f3ximos", "start": 17620.228, "duration": 3.48}, {"text": "jogos segredo a ilha para onde vai essa", "start": 17621.968, "duration": 5.302}, {"text": "hist\u00f3ria borra aqui ent\u00e3o", "start": 17623.708, "duration": 7.892}, {"text": "pronto estou muito feliz e \u00e9 isso todo", "start": 17627.27, "duration": 7.39}, {"text": "s\u00e1bado 18 horas aqui ao vivo a\u00ed pezinho", "start": 17631.6, "duration": 5.22}, {"text": "fique bem Lembrando que essa blusa do", "start": 17634.66, "duration": 3.92}, {"text": "caminho Da\u00ed voc\u00ea pode encontrar clicando", "start": 17636.82, "duration": 3.84}, {"text": "o INPI lote de controle para uma", "start": 17638.58, "duration": 3.94}, {"text": "fogueira usando esse quer que hoje aqui", "start": 17640.66, "duration": 5.6}, {"text": "um beijo vai ter replay na ter\u00e7a e a", "start": 17642.52, "duration": 6.66}, {"text": "gente tem um canal novo para postar os", "start": 17646.26, "duration": 4.538}, {"text": "v\u00eddeos os epis\u00f3dios gravados no YouTube", "start": 17649.18, "duration": 3.36}, {"text": "essa porque a ordem canal no YouTube ou", "start": 17650.798, "duration": 3.33}, {"text": "seguiram na ilha voc\u00ea vai encontrar toda", "start": 17652.54, "duration": 2.38}, {"text": "a tinta", "start": 17654.128, "duration": 3.912}, {"text": "o epis\u00f3dios se voc\u00ea perdeu um ao vivo ou", "start": 17654.92, "duration": 5.34}, {"text": "perdeu a reprise certo fique bem um", "start": 17658.04, "duration": 4.32}, {"text": "beijo muito obrigado por ter aceitado", "start": 17660.26, "duration": 5.52}, {"text": "fazer isso que da hora que vem a gente", "start": 17662.36, "duration": 4.73}, {"text": "de folga n\u00e9", "start": 17665.78, "duration": 4.25}, {"text": "mas Segredos todo mundo tem o segredo", "start": 17667.09, "duration": 8.41}, {"text": "beijo gente o segredo da ilha \u00e9 um", "start": 17670.03, "duration": 5.47}, {"text": "[M\u00fasica]", "start": 17676.54, "duration": 4.91}, {"text": "[M\u00fasica]", "start": 17683.88, "duration": 14.12}, {"text": "E a\u00ed", "start": 17695.0, "duration": 3.0}, {"text": "[M\u00fasica]", "start": 17699.99, "duration": 23.779}, {"text": "[M\u00fasica]", "start": 17729.12, "duration": 5.29}] \ No newline at end of file diff --git a/src/babel_bardo/cache/transcripts/tZWU5iPjQpI.json b/src/babel_bardo/cache/transcripts/tZWU5iPjQpI.json new file mode 100644 index 0000000..eb827b9 --- /dev/null +++ b/src/babel_bardo/cache/transcripts/tZWU5iPjQpI.json @@ -0,0 +1 @@ +[{"text": "hello everybody and welcome to a night", "start": 2.389, "duration": 5.41}, {"text": "of LAN party Dungeons & Dragons tonight", "start": 5.339, "duration": 4.68}, {"text": "I will be the dungeon master and I will", "start": 7.799, "duration": 4.92}, {"text": "be running Brandon Nico and Dee through", "start": 10.019, "duration": 5.49}, {"text": "another epic campaign of mine in this", "start": 12.719, "duration": 6.271}, {"text": "one these adventurers start as members", "start": 15.509, "duration": 6.151}, {"text": "of a barbarian tribe a nomadic one that", "start": 18.99, "duration": 5.31}, {"text": "is scouring the wilderness for survival", "start": 21.66, "duration": 8.119}, {"text": "when one day well we're gonna find out", "start": 24.3, "duration": 5.479}, {"text": "so Sam Nico and Dee are veterans of a", "start": 34.399, "duration": 4.601}, {"text": "D&D", "start": 38.43, "duration": 3.33}, {"text": "I is my first time playing you're not if", "start": 39.0, "duration": 3.78}, {"text": "you guys have never played before", "start": 41.76, "duration": 2.67}, {"text": "because you can learn it through through", "start": 42.78, "duration": 3.27}, {"text": "my eyes as we do this because I'll be", "start": 44.43, "duration": 3.03}, {"text": "asking I'll be asking some of the new", "start": 46.05, "duration": 4.529}, {"text": "questions as we go a lot so so let's", "start": 47.46, "duration": 5.07}, {"text": "just get a quick look at what you guys", "start": 50.579, "duration": 4.561}, {"text": "are facing here this is your camp all", "start": 52.53, "duration": 5.04}, {"text": "right and as you can see there's some", "start": 55.14, "duration": 5.309}, {"text": "sort of civilization encroaching into", "start": 57.57, "duration": 5.579}, {"text": "your your peaceful wilderness how tall", "start": 60.449, "duration": 3.45}, {"text": "are those mountains", "start": 63.149, "duration": 3.601}, {"text": "ah it doesn't matter it doesn't matter", "start": 63.899, "duration": 6.241}, {"text": "there are large Hills so guys what's the", "start": 66.75, "duration": 6.84}, {"text": "name of your tribe ah team huddle we are", "start": 70.14, "duration": 5.869}, {"text": "I mean we're cool dudes for cool dudes", "start": 73.59, "duration": 5.91}, {"text": "we we don't like we don't like streets", "start": 76.009, "duration": 5.201}, {"text": "there's a rubber hands why do we need a", "start": 79.5, "duration": 3.57}, {"text": "name we're just the tribe the tribe with", "start": 81.21, "duration": 3.449}, {"text": "no name actually you're right the tribe", "start": 83.07, "duration": 5.01}, {"text": "the day begins like any other day you", "start": 84.659, "duration": 5.551}, {"text": "guys are all huddled around a warm", "start": 88.08, "duration": 5.219}, {"text": "campfire together with your families and", "start": 90.21, "duration": 6.69}, {"text": "yourselves as one tribe we have a couple", "start": 93.299, "duration": 5.791}, {"text": "characters here we have one character", "start": 96.9, "duration": 4.259}, {"text": "over here this is the town elder his", "start": 99.09, "duration": 4.739}, {"text": "name is Bartholomew is it's not the most", "start": 101.159, "duration": 5.161}, {"text": "barbarian name but he is a wise old man", "start": 103.829, "duration": 5.011}, {"text": "who has has helped you and your tribe", "start": 106.32, "duration": 4.56}, {"text": "for years and years and years as you can", "start": 108.84, "duration": 3.739}, {"text": "see there's a few other people around", "start": 110.88, "duration": 3.419}, {"text": "campfire as well and that's your", "start": 112.579, "duration": 4.36}, {"text": "families so Brandon I would like you to", "start": 114.299, "duration": 5.161}, {"text": "introduce yourself and your wife and", "start": 116.939, "duration": 6.481}, {"text": "your son to everybody my name is bran", "start": 119.46, "duration": 6.99}, {"text": "short for Brandon a brand I'm a barber", "start": 123.42, "duration": 5.85}, {"text": "barbarian obviously strong driven man", "start": 126.45, "duration": 5.04}, {"text": "yeah you know with with its sights on", "start": 129.27, "duration": 5.31}, {"text": "the future and he is also well liked by", "start": 131.49, "duration": 5.85}, {"text": "the tribe and specifically the tribe", "start": 134.58, "duration": 5.25}, {"text": "elder yeah he's got a crush on you're", "start": 137.34, "duration": 4.17}, {"text": "pretty much like the tribe champion", "start": 139.83, "duration": 3.09}, {"text": "you're the trying it here's the t's", "start": 141.51, "duration": 3.78}, {"text": "modest don't let me don't let us - t for", "start": 142.92, "duration": 4.94}, {"text": "you Brennan right Brandon is the tribes", "start": 145.29, "duration": 5.19}, {"text": "champion you can physically beat up", "start": 147.86, "duration": 5.29}, {"text": "anyone in the Tri exactly mm-hmm so that", "start": 150.48, "duration": 4.38}, {"text": "makes him the champion here's I married", "start": 153.15, "duration": 3.15}, {"text": "I had a child but what's what's your", "start": 154.86, "duration": 2.73}, {"text": "name what's your name her name is", "start": 156.3, "duration": 4.74}, {"text": "Matilda Matilda and what's your uh what", "start": 157.59, "duration": 4.5}, {"text": "is that I think you have a son there", "start": 161.04, "duration": 3.63}, {"text": "what's his name his name uh Steve", "start": 162.09, "duration": 6.57}, {"text": "Oh Steve my personality rate is that I", "start": 164.67, "duration": 5.4}, {"text": "miss function long words it sound", "start": 168.66, "duration": 4.68}, {"text": "smarter mmm my ideals as I've got a", "start": 170.07, "duration": 5.31}, {"text": "destiny that uh nothing can really steer", "start": 173.34, "duration": 3.18}, {"text": "me away from his higher calling like I", "start": 175.38, "duration": 3.63}, {"text": "am I'm destined to lead this tribe to", "start": 176.52, "duration": 4.35}, {"text": "success and beat the champion the hero", "start": 179.01, "duration": 2.4}, {"text": "the people", "start": 180.87, "duration": 2.82}, {"text": "that's great uh and flaunt convinced so", "start": 181.41, "duration": 3.99}, {"text": "much by such an undying faith in my", "start": 183.69, "duration": 3.72}, {"text": "destiny but I ignore my shortcomings in", "start": 185.4, "duration": 3.78}, {"text": "my failures along the way my character", "start": 187.41, "duration": 4.859}, {"text": "he is a human ranger his name is daryun", "start": 189.18, "duration": 6.23}, {"text": "no he is a hunter he hunts and kills", "start": 192.269, "duration": 6.78}, {"text": "animals for the tribe and he is really", "start": 195.41, "duration": 6.19}, {"text": "good Archer so pretty valuable I'd say", "start": 199.049, "duration": 4.891}, {"text": "to a small tribe like this I have one", "start": 201.6, "duration": 5.07}, {"text": "wife and her name is Mira and she was", "start": 203.94, "duration": 3.6}, {"text": "actually my bond", "start": 206.67, "duration": 3.03}, {"text": "I love Mira more than anything in this", "start": 207.54, "duration": 4.38}, {"text": "whole world but I use it but Longo and", "start": 209.7, "duration": 6.12}, {"text": "too short swords I generally yeah I've", "start": 211.92, "duration": 5.55}, {"text": "used two short swords on my back till", "start": 215.82, "duration": 6.21}, {"text": "you cut your hair just so my personality", "start": 217.47, "duration": 6.78}, {"text": "trait is my character he never relies on", "start": 222.03, "duration": 3.69}, {"text": "other people he generally just relies", "start": 224.25, "duration": 3.66}, {"text": "himself to do things and get things done", "start": 225.72, "duration": 4.53}, {"text": "and my flaw for my character is that I", "start": 227.91, "duration": 5.609}, {"text": "distrust absolutely anyone I don't know", "start": 230.25, "duration": 6.42}, {"text": "oh so my character is basically the", "start": 233.519, "duration": 4.47}, {"text": "druid of the tribe", "start": 236.67, "duration": 2.35}, {"text": "his name is No", "start": 237.989, "duration": 6.521}, {"text": "kee Mao and ohk I basically he lives in", "start": 239.02, "duration": 8.01}, {"text": "a tree more or less but it's like", "start": 244.51, "duration": 3.78}, {"text": "hollowed out in the bottom there's kind", "start": 247.03, "duration": 2.64}, {"text": "of been a hut expanded from with the", "start": 248.29, "duration": 3.69}, {"text": "tree that I live in was planted when I", "start": 249.67, "duration": 4.77}, {"text": "was a baby and therefore mean that tree", "start": 251.98, "duration": 4.77}, {"text": "share a bond is the tree out here yes", "start": 254.44, "duration": 3.99}, {"text": "see this tree which which no that's a", "start": 256.75, "duration": 3.299}, {"text": "little bit further away from like okay I", "start": 258.43, "duration": 3.96}, {"text": "found it was this one we tend to pretend", "start": 260.049, "duration": 3.541}, {"text": "the tree is not right next to that camp", "start": 262.39, "duration": 2.55}, {"text": "well that's why you've came back to camp", "start": 263.59, "duration": 2.61}, {"text": "here is because I would never let", "start": 264.94, "duration": 2.55}, {"text": "something build a campfire that close to", "start": 266.2, "duration": 3.32}, {"text": "my treat okay well it was probably just", "start": 267.49, "duration": 5.19}, {"text": "this tree over so protective of its tree", "start": 269.52, "duration": 4.18}, {"text": "I'm really protective of the street", "start": 272.68, "duration": 2.28}, {"text": "because that tree is my bond", "start": 273.7, "duration": 4.92}, {"text": "Nikko it looks like what is this that's", "start": 274.96, "duration": 6.09}, {"text": "what you have a wife and child as well", "start": 278.62, "duration": 5.61}, {"text": "Oh as a druid how surprising yeah most", "start": 281.05, "duration": 4.83}, {"text": "grandson do what cause I know what a", "start": 284.23, "duration": 4.02}, {"text": "lucky druid wake up yes the name Appetit", "start": 285.88, "duration": 3.75}, {"text": "see your wife there in the cool like", "start": 288.25, "duration": 3.96}, {"text": "sideways post like yeah and your child", "start": 289.63, "duration": 4.14}, {"text": "can see can you see your child a little", "start": 292.21, "duration": 4.32}, {"text": "it'll a little girl your daughter yeah", "start": 293.77, "duration": 4.47}, {"text": "what's your wife and daughters name ah", "start": 296.53, "duration": 5.1}, {"text": "my wife's name is Lily and my daughter's", "start": 298.24, "duration": 7.41}, {"text": "name is maple whoo named after tree well", "start": 301.63, "duration": 5.76}, {"text": "millions on a tree it's a flower", "start": 305.65, "duration": 9.45}, {"text": "yeah I mean I didn't name my wife okay", "start": 307.39, "duration": 9.33}, {"text": "you're right you didn't get it all right", "start": 315.1, "duration": 3.72}, {"text": "my deal is that of unspoiled wilderness", "start": 316.72, "duration": 3.66}, {"text": "and the people living with the land like", "start": 318.82, "duration": 3.51}, {"text": "a like a classic Native American tribe", "start": 320.38, "duration": 5.58}, {"text": "and my flaws are that I discriminate", "start": 322.33, "duration": 6.6}, {"text": "against outsiders you guys are chilling", "start": 325.96, "duration": 5.91}, {"text": "out at your campfire one day in the end", "start": 328.93, "duration": 5.91}, {"text": "the petroi builder he's covered in rags", "start": 331.87, "duration": 5.01}, {"text": "and he's frail his bones are frail and", "start": 334.84, "duration": 4.88}, {"text": "he walks up to the campfire and he says", "start": 336.88, "duration": 6.09}, {"text": "today is the day of the hunt you must", "start": 339.72, "duration": 5.24}, {"text": "feed our tribe with food", "start": 342.97, "duration": 5.729}, {"text": "to the direct north of here I sensed I", "start": 344.96, "duration": 7.44}, {"text": "sensed food I sensed an elk perhaps near", "start": 348.699, "duration": 6.431}, {"text": "perhaps more I feel like it is up to you", "start": 352.4, "duration": 5.549}, {"text": "to hunt down one of these animals and", "start": 355.13, "duration": 5.25}, {"text": "bring it up bring it back to this tribe", "start": 357.949, "duration": 6.03}, {"text": "to feed us all everyone role perception", "start": 360.38, "duration": 7.319}, {"text": "checks okay so so what time of day is it", "start": 363.979, "duration": 7.94}, {"text": "it's at night 9:00 in the morning start", "start": 367.699, "duration": 7.44}, {"text": "2020 oh my role is 16 well then no one", "start": 371.919, "duration": 4.931}, {"text": "else even asked a role because Niko here", "start": 375.139, "duration": 2.431}, {"text": "something", "start": 376.85, "duration": 4.23}, {"text": "sorry no key here's something what is", "start": 377.57, "duration": 6.18}, {"text": "happening is there is a small karab\u00fck", "start": 381.08, "duration": 5.459}, {"text": "small wagon the horse-drawn wagon coming", "start": 383.75, "duration": 5.4}, {"text": "through the trees and it stops at your", "start": 386.539, "duration": 6.241}, {"text": "camp and what happens is the driver hops", "start": 389.15, "duration": 8.09}, {"text": "out of the wagon", "start": 392.78, "duration": 4.46}, {"text": "and stands before you he says Oh Hawaii", "start": 397.48, "duration": 6.66}, {"text": "tribesman I come in peace he holds his", "start": 400.5, "duration": 5.41}, {"text": "hands up would you move my character so", "start": 404.14, "duration": 3.81}, {"text": "he's looking at the card I bring gifts I", "start": 405.91, "duration": 4.77}, {"text": "see I see you're worn leathers I see I", "start": 407.95, "duration": 5.67}, {"text": "see your low rations I bring gifts", "start": 410.68, "duration": 7.38}, {"text": "I see we have a town a burgeoning", "start": 413.62, "duration": 5.46}, {"text": "economy", "start": 418.06, "duration": 3.59}, {"text": "nothing far away I bring gifts I do not", "start": 419.08, "duration": 5.52}, {"text": "want to harm you I only come in peace", "start": 421.65, "duration": 6.37}, {"text": "and he immediately starts taking out", "start": 424.6, "duration": 7.65}, {"text": "like a fine suit of scale mail and he he", "start": 428.02, "duration": 5.64}, {"text": "goes here and he offers this he's like", "start": 432.25, "duration": 4.8}, {"text": "please remember this as a token of faith", "start": 433.66, "duration": 6.75}, {"text": "from our society to yours are you you", "start": 437.05, "duration": 5.55}, {"text": "look strong oh I'm worried we've never", "start": 440.41, "duration": 3.78}, {"text": "interacted with you before I'm worried", "start": 442.6, "duration": 2.76}, {"text": "they might be bringing some sorry", "start": 444.19, "duration": 3.66}, {"text": "disease our way here a gift from me to", "start": 445.36, "duration": 6.06}, {"text": "you do with these as you wish 20 steel", "start": 447.85, "duration": 6.72}, {"text": "tipped arrows scale nail rations / -", "start": 451.42, "duration": 4.95}, {"text": "like however many grains you want to", "start": 454.57, "duration": 3.51}, {"text": "take all you want we have a farm nearby", "start": 456.37, "duration": 7.29}, {"text": "and with that I bid you farewell and he", "start": 458.08, "duration": 8.01}, {"text": "hops on his wagon and he hits his brake", "start": 463.66, "duration": 4.53}, {"text": "lights and his reverse is it food and a", "start": 466.09, "duration": 3.3}, {"text": "frickin bust attaboy", "start": 468.19, "duration": 3.57}, {"text": "starts going back to town so you took", "start": 469.39, "duration": 4.86}, {"text": "the scale nail yep I don't take anything", "start": 471.76, "duration": 5.28}, {"text": "specific did you tell me that's gonna", "start": 474.25, "duration": 4.65}, {"text": "take the arrows so the village elder", "start": 477.04, "duration": 3.74}, {"text": "inspects the grains and he says well", "start": 478.9, "duration": 5.52}, {"text": "perhaps this will feed us but there's", "start": 480.78, "duration": 5.62}, {"text": "honor in the hunt you guys wanna go", "start": 484.42, "duration": 4.62}, {"text": "hunting I'm done not I hunt every day", "start": 486.4, "duration": 4.38}, {"text": "this won't be so yes I didn't want to go", "start": 489.04, "duration": 4.35}, {"text": "little Stevie little Stevie's like poppy", "start": 490.78, "duration": 4.56}, {"text": "are you getting food and then you hear", "start": 493.39, "duration": 4.56}, {"text": "little little little maple go up through", "start": 495.34, "duration": 5.13}, {"text": "the roof to naoki and say father I sound", "start": 497.95, "duration": 5.97}, {"text": "exactly the same as if a young boy okay", "start": 500.47, "duration": 6.27}, {"text": "so I have speak with animals so if we", "start": 503.92, "duration": 4.02}, {"text": "just walk out into the Whistling but I", "start": 506.74, "duration": 2.79}, {"text": "can find a bird asking where the nearest", "start": 507.94, "duration": 3.15}, {"text": "ears they see and walk down in", "start": 509.53, "duration": 2.4}, {"text": "bing-bang-boom", "start": 511.09, "duration": 2.52}, {"text": "hunts over got some food you mean like", "start": 511.93, "duration": 3.12}, {"text": "we do every day like we do every day", "start": 513.61, "duration": 4.559}, {"text": "every day with you I've grabbed my", "start": 515.05, "duration": 5.7}, {"text": "quiver and I grab my bow and I kiss my", "start": 518.169, "duration": 3.451}, {"text": "wife", "start": 520.75, "duration": 4.65}, {"text": "goodbye I want to walk away all right so", "start": 521.62, "duration": 4.68}, {"text": "sweet we have a great relationship", "start": 525.4, "duration": 2.76}, {"text": "there's a bird that flies through the", "start": 526.3, "duration": 4.44}, {"text": "trees and the knocks went over with a", "start": 528.16, "duration": 5.43}, {"text": "great powerful force of its wings and it", "start": 530.74, "duration": 4.95}, {"text": "would be and it rests up on this tree", "start": 533.59, "duration": 5.76}, {"text": "over here I grab my little necklace it", "start": 535.69, "duration": 5.34}, {"text": "has a little wooden spiral on it with", "start": 539.35, "duration": 4.59}, {"text": "some various like leaves wrapped around", "start": 541.03, "duration": 5.7}, {"text": "our local forest and I use it as my", "start": 543.94, "duration": 4.77}, {"text": "focus and I cast a spell which is speak", "start": 546.73, "duration": 5.19}, {"text": "with animals and the bird snaps its eyes", "start": 548.71, "duration": 6.69}, {"text": "directly to your character and it's you", "start": 551.92, "duration": 5.07}, {"text": "hear like it's little thoughts going", "start": 555.4, "duration": 6.54}, {"text": "like see fine rats deer elk deer they", "start": 556.99, "duration": 7.59}, {"text": "say to the north i mentalize exactly", "start": 561.94, "duration": 4.92}, {"text": "where you went well I can speak so I'm", "start": 564.58, "duration": 4.65}, {"text": "more or less aspirants intelligence the", "start": 566.86, "duration": 4.65}, {"text": "biggest legged animal it's seen", "start": 569.23, "duration": 4.41}, {"text": "and you know its exact location right", "start": 571.51, "duration": 5.3}, {"text": "here oh well it's a moose", "start": 573.64, "duration": 5.99}, {"text": "it's that's an elk mmm that's an elk", "start": 576.81, "duration": 5.26}, {"text": "you're right it's a knock guys there's", "start": 579.63, "duration": 3.52}, {"text": "enough not too far from here", "start": 582.07, "duration": 4.68}, {"text": "well the bird flies away does anything", "start": 583.15, "duration": 5.64}, {"text": "it wait before it flies away I ask it", "start": 586.75, "duration": 4.56}, {"text": "anything else strange in the woods he", "start": 588.79, "duration": 5.39}, {"text": "says suck my dick", "start": 591.31, "duration": 2.87}, {"text": "hey what's up burns in you nothing okay", "start": 594.9, "duration": 7.54}, {"text": "you guys it's close elf and just chill", "start": 600.52, "duration": 3.72}, {"text": "alright I roll the 12-minute do what I", "start": 602.44, "duration": 3.45}, {"text": "do and I'm gonna take this this elk", "start": 604.24, "duration": 3.48}, {"text": "that's a no right yep I'm take selling", "start": 605.89, "duration": 8.1}, {"text": "out I'm going to stealth roll 18 stealth", "start": 607.72, "duration": 8.64}, {"text": "up to that okay yeah you can see it okay", "start": 613.99, "duration": 2.97}, {"text": "I can see it", "start": 616.36, "duration": 2.49}, {"text": "okay I'm gonna stealth up to you here", "start": 616.96, "duration": 4.38}, {"text": "I'm gonna go just are doing a very wide", "start": 618.85, "duration": 5.28}, {"text": "circle and just in the process I'm gonna", "start": 621.34, "duration": 3.78}, {"text": "try to move around to the other side of", "start": 624.13, "duration": 4.17}, {"text": "the elk moving on to the right I guess", "start": 625.12, "duration": 5.52}, {"text": "I'll do a double move so 60 feet well", "start": 628.3, "duration": 4.53}, {"text": "okay I'll do it with you for now", "start": 630.64, "duration": 5.1}, {"text": "we'll be I'm going to stop up to this", "start": 632.83, "duration": 5.67}, {"text": "tree to get a little closer and try to", "start": 635.74, "duration": 5.779}, {"text": "try to get my eyes on this", "start": 638.5, "duration": 6.6}, {"text": "what's your stealth uh ten all right uh", "start": 641.519, "duration": 6.311}, {"text": "it does not see you it makes it small it", "start": 645.1, "duration": 4.44}, {"text": "just goes ten feet this way and just", "start": 647.83, "duration": 4.77}, {"text": "keeps grazing okay for this tree right", "start": 649.54, "duration": 6.66}, {"text": "here I am within range because I have", "start": 652.6, "duration": 5.85}, {"text": "I'm sharpshooter ability is a feat", "start": 656.2, "duration": 5.639}, {"text": "that's all my arrow and I'm going to", "start": 658.45, "duration": 6.449}, {"text": "fire my first shot out of this bow first", "start": 661.839, "duration": 4.651}, {"text": "shot of the game for sure the game show", "start": 664.899, "duration": 3.0}, {"text": "the game boom", "start": 666.49, "duration": 5.37}, {"text": "hold it 18 so that is it 25 all right", "start": 667.899, "duration": 5.341}, {"text": "I'm gonna do damage well David's will", "start": 671.86, "duration": 3.36}, {"text": "you quit strike the elephant it was its", "start": 673.24, "duration": 6.51}, {"text": "head up boom 8 on my gagne see how you", "start": 675.22, "duration": 7.26}, {"text": "do 11 damage arrow dives right into the", "start": 679.75, "duration": 4.41}, {"text": "Elks neck and the thing just like kicks", "start": 682.48, "duration": 3.78}, {"text": "and bucks and then just falls over oh", "start": 684.16, "duration": 5.13}, {"text": "yes I continue to spend the next five", "start": 686.26, "duration": 4.92}, {"text": "minutes cutting a wide circle only to", "start": 689.29, "duration": 3.359}, {"text": "come upon the groups in the north with", "start": 691.18, "duration": 3.599}, {"text": "surrounding a dead elk all right move to", "start": 692.649, "duration": 3.991}, {"text": "where you want to be alright alright go", "start": 694.779, "duration": 3.631}, {"text": "for anybody both you guys roll me", "start": 696.64, "duration": 3.66}, {"text": "perception and stealth checks right now", "start": 698.41, "duration": 4.23}, {"text": "is that price tag off I'm more to like", "start": 700.3, "duration": 4.62}, {"text": "the east there you know so deception is", "start": 702.64, "duration": 2.88}, {"text": "Bosman", "start": 704.92, "duration": 4.44}, {"text": "yeah and stealth is mine it will be", "start": 705.52, "duration": 7.29}, {"text": "protection 11 + love is that wha your", "start": 709.36, "duration": 7.82}, {"text": "perception is here plus 4 plus 4 15 uh", "start": 712.81, "duration": 9.57}, {"text": "you hear um noise actually coming near", "start": 717.18, "duration": 7.09}, {"text": "this tree and you'll see something else", "start": 722.38, "duration": 4.5}, {"text": "moving here okay where you want to move", "start": 724.27, "duration": 4.68}, {"text": "all right there I live like here you", "start": 726.88, "duration": 5.149}, {"text": "move one square this way yep can you see", "start": 728.95, "duration": 6.329}, {"text": "there's a giant bear that's been sitting", "start": 732.029, "duration": 5.351}, {"text": "here and you guys have not been able to", "start": 735.279, "duration": 3.631}, {"text": "see it yet everyone rolls initiative", "start": 737.38, "duration": 4.26}, {"text": "stealth bear so bear man man let's go to", "start": 738.91, "duration": 5.31}, {"text": "sleep I rolled a 9", "start": 741.64, "duration": 8.21}, {"text": "I got 16 I roll this - what is it ok 12", "start": 744.22, "duration": 7.38}, {"text": "deep you go first", "start": 749.85, "duration": 7.96}, {"text": "cool or sorry not the area okay so since", "start": 751.6, "duration": 8.429}, {"text": "this bear I don't mind a site I'm going", "start": 757.81, "duration": 6.21}, {"text": "to shift over and go ha ha", "start": 760.029, "duration": 6.75}, {"text": "pull why decide on this guy and I'm", "start": 764.02, "duration": 4.47}, {"text": "gonna drop my bow back and I'm going to", "start": 766.779, "duration": 3.841}, {"text": "shoot you but but I have the", "start": 768.49, "duration": 3.69}, {"text": "Sharpshooter ability so I am so", "start": 770.62, "duration": 3.18}, {"text": "confident after that last shot that I", "start": 772.18, "duration": 3.87}, {"text": "just aced then I'm gonna take a minus 5", "start": 773.8, "duration": 4.05}, {"text": "on this attack rolled on it and if I hit", "start": 776.05, "duration": 6.409}, {"text": "I get automatic + 10 damage Wow okay", "start": 777.85, "duration": 4.609}, {"text": "rough okay so 10 10 you whip its air", "start": 783.54, "duration": 10.239}, {"text": "goes over the distance you're not even", "start": 790.72, "duration": 4.55}, {"text": "close man", "start": 793.779, "duration": 4.651}, {"text": "alright confident my next turn ran so", "start": 795.27, "duration": 5.92}, {"text": "you can move six spaces and then a", "start": 798.43, "duration": 5.159}, {"text": "strike if you wish you can go one two", "start": 801.19, "duration": 6.839}, {"text": "three four five", "start": 803.589, "duration": 5.821}, {"text": "that's another's good to me yeah it's", "start": 808.029, "duration": 2.911}, {"text": "gonna make close enough to hit it I'm", "start": 809.41, "duration": 2.909}, {"text": "moving right in there and I'm gonna I'm", "start": 810.94, "duration": 2.97}, {"text": "gonna wail on that sucker with my great", "start": 812.319, "duration": 3.811}, {"text": "sword okay so it must fix it hit yeah so", "start": 813.91, "duration": 4.11}, {"text": "well that all right and six seventeen", "start": 816.13, "duration": 5.31}, {"text": "get role damage the Bears turns and", "start": 818.02, "duration": 7.08}, {"text": "snarls at Union 7 plus 4 11 it gets hit", "start": 821.44, "duration": 5.129}, {"text": "it's just gonna get slashed by your", "start": 825.1, "duration": 3.84}, {"text": "blade 11 points and a Mattoon please", "start": 826.569, "duration": 5.491}, {"text": "okay move me up to there alright I'll", "start": 828.94, "duration": 6.33}, {"text": "give my senate time one two three four", "start": 832.06, "duration": 5.55}, {"text": "you want to flank it you know I don't", "start": 835.27, "duration": 3.42}, {"text": "need a blanket as long as two enemies", "start": 837.61, "duration": 1.9}, {"text": "are attacking the bear way", "start": 838.69, "duration": 3.43}, {"text": "school got it so I get to roll to D 20s", "start": 839.51, "duration": 5.34}, {"text": "through the 20s trans maggot take the", "start": 842.12, "duration": 5.25}, {"text": "high stroll take 14 playas okay it's hit", "start": 844.85, "duration": 5.76}, {"text": "roll damage on that bear it's so pissed", "start": 847.37, "duration": 5.43}, {"text": "seven points of damage seven point of", "start": 850.61, "duration": 5.52}, {"text": "them gets hit it's like her and look", "start": 852.8, "duration": 5.04}, {"text": "straight through straight at you in the", "start": 856.13, "duration": 4.14}, {"text": "eyes Nikko right and because it's facing", "start": 857.84, "duration": 4.05}, {"text": "you you ran straight towards it tries to", "start": 860.27, "duration": 2.94}, {"text": "bite you right back", "start": 861.89, "duration": 2.76}, {"text": "all right try Blair it's not gonna", "start": 863.21, "duration": 3.6}, {"text": "happen cuz bears hmm", "start": 864.65, "duration": 6.75}, {"text": "does he 12 hit nope it go hair and tries", "start": 866.81, "duration": 6.36}, {"text": "to bite at you and then here's the thing", "start": 871.4, "duration": 4.02}, {"text": "it makes it's a multi attack one with", "start": 873.17, "duration": 6.03}, {"text": "it's fight one with it Wow shield don't", "start": 875.42, "duration": 7.77}, {"text": "move the same it this is haha and it's", "start": 879.2, "duration": 9.15}, {"text": "uh it's your turn a little bit and you", "start": 883.19, "duration": 6.36}, {"text": "make sure you don't miss on the time", "start": 888.35, "duration": 2.34}, {"text": "right now this time I'm gonna", "start": 889.55, "duration": 2.52}, {"text": "concentrate I'm not gonna let my", "start": 890.69, "duration": 2.82}, {"text": "confidence right behind that Verdi", "start": 892.07, "duration": 3.36}, {"text": "alright so I'm gonna roll Nate", "start": 893.51, "duration": 7.86}, {"text": "aces ver Ryan's head you hit 24 sweet", "start": 895.43, "duration": 9.87}, {"text": "that's a hit royal damage damage 11", "start": 901.37, "duration": 6.18}, {"text": "damage Oh actually it's already hurt so", "start": 905.3, "duration": 3.66}, {"text": "I get an additional bonus because I have", "start": 907.55, "duration": 3.96}, {"text": "colossal slayer added 1 d6 to my attack", "start": 908.96, "duration": 6.57}, {"text": "role of authority Dan boom manages 14", "start": 911.51, "duration": 4.56}, {"text": "yeah", "start": 915.53, "duration": 3.48}, {"text": "oh so close the arrow goes into his name", "start": 916.07, "duration": 4.95}, {"text": "in like the bear like coughs and spits", "start": 919.01, "duration": 3.45}, {"text": "out what it's like so pissed", "start": 921.02, "duration": 3.12}, {"text": "it's kind of sad because it's a beast of", "start": 922.46, "duration": 5.19}, {"text": "a bully message it is so close to being", "start": 924.14, "duration": 5.46}, {"text": "gay I don't know as a tribe I don't", "start": 927.65, "duration": 2.97}, {"text": "really want to do with a bear like this", "start": 929.6, "duration": 1.92}, {"text": "but it's juiced", "start": 930.62, "duration": 4.53}, {"text": "Brandon brand it's your turn I'm gonna", "start": 931.52, "duration": 4.35}, {"text": "go for the kill", "start": 935.15, "duration": 3.09}, {"text": "because it's probably it's somewhat", "start": 935.87, "duration": 4.68}, {"text": "important to my my ego finances did I", "start": 938.24, "duration": 3.63}, {"text": "get this killing blow well that's why", "start": 940.55, "duration": 2.79}, {"text": "we're here champ readies his great", "start": 941.87, "duration": 4.36}, {"text": "swords rolls of 22", "start": 943.34, "duration": 6.13}, {"text": "for the hits a hit heck yeah come here", "start": 946.23, "duration": 6.75}, {"text": "comes the damage does 14 manage to it", "start": 949.47, "duration": 7.41}, {"text": "you take your great sword and you swing", "start": 952.98, "duration": 6.84}, {"text": "it towards the Bears neck and you", "start": 956.88, "duration": 6.27}, {"text": "straight up shop the Bears head clean", "start": 959.82, "duration": 5.19}, {"text": "off life like a laser ever seen one of", "start": 963.15, "duration": 3.03}, {"text": "the arrows do something like things are", "start": 965.01, "duration": 1.44}, {"text": "there", "start": 966.18, "duration": 2.4}, {"text": "I'm impressed I'm personally impressed a", "start": 966.45, "duration": 4.11}, {"text": "baby arrows don't don't do so I mean I", "start": 968.58, "duration": 4.41}, {"text": "did I mean is that what you're saying to", "start": 970.56, "duration": 5.07}, {"text": "me right now I'm so cool in Internet out", "start": 972.99, "duration": 4.5}, {"text": "right duo play organ if you're gonna say", "start": 975.63, "duration": 2.97}, {"text": "is under my character role play", "start": 977.49, "duration": 2.79}, {"text": "no I'm saying is one bit tell me what", "start": 978.6, "duration": 3.03}, {"text": "tell me what you say I like over to you", "start": 980.28, "duration": 2.43}, {"text": "and I say have you ever seen a bear's", "start": 981.63, "duration": 4.17}, {"text": "head fall clean off like that you little", "start": 982.71, "duration": 4.62}, {"text": "arrows just poke holes in it and ruin", "start": 985.8, "duration": 3.81}, {"text": "the best hide how about this mr. bear", "start": 987.33, "duration": 2.91}, {"text": "Slayer", "start": 989.61, "duration": 3.21}, {"text": "I'm gonna go sit in that elk and do our", "start": 990.24, "duration": 5.28}, {"text": "tribe what we need to do all-new is bare", "start": 992.82, "duration": 4.68}, {"text": "bears you're the one to chop his head", "start": 995.52, "duration": 2.31}, {"text": "off", "start": 997.5, "duration": 2.25}, {"text": "fair enough leave man big there here you", "start": 997.83, "duration": 3.99}, {"text": "go man friend yeah Brandon why don't you", "start": 999.75, "duration": 7.08}, {"text": "do this roll me a Constitution saving", "start": 1001.82, "duration": 8.39}, {"text": "throw do you roll in you had +5 okay", "start": 1006.83, "duration": 7.96}, {"text": "11 we're starting to feel sick ill", "start": 1010.21, "duration": 7.069}, {"text": "you have a sore throat and your skin is", "start": 1014.79, "duration": 5.52}, {"text": "itchy ran you can also buy belong in the", "start": 1017.279, "duration": 4.641}, {"text": "better set in town this you can diagnose", "start": 1020.31, "duration": 5.91}, {"text": "diagnosed I'm feeling I rolled a 15 what", "start": 1021.92, "duration": 6.34}, {"text": "enrollment I got a good dick Brennan is", "start": 1026.22, "duration": 5.209}, {"text": "good and anybody else", "start": 1028.26, "duration": 4.74}, {"text": "mini pox", "start": 1031.429, "duration": 6.25}, {"text": "I knew it the B brand only a", "start": 1033.0, "duration": 7.049}, {"text": "Constitution saving throw as some brand", "start": 1037.679, "duration": 4.41}, {"text": "news wait no our camp members twenty", "start": 1040.049, "duration": 5.941}, {"text": "natural 20 D he felt sick for a brief", "start": 1042.089, "duration": 5.97}, {"text": "second then it's like hmm I'm good", "start": 1045.99, "duration": 5.46}, {"text": "actually yeah Saudi is totally fine", "start": 1048.059, "duration": 6.231}, {"text": "you're showing symptoms of mini pots uh", "start": 1051.45, "duration": 8.219}, {"text": "Brandon roll me a D for role needy for", "start": 1054.29, "duration": 8.47}, {"text": "right now and payroll role that one all", "start": 1059.669, "duration": 5.01}, {"text": "right so your Constitution score is now", "start": 1062.76, "duration": 5.1}, {"text": "one lower than what it is temporarily", "start": 1064.679, "duration": 7.441}, {"text": "until until we were filled that I'm 99%", "start": 1067.86, "duration": 5.76}, {"text": "sure this has to do with the trader that", "start": 1072.12, "duration": 3.0}, {"text": "talked to us earlier so everywhere the", "start": 1073.62, "duration": 3.45}, {"text": "camp is probably already exposed and", "start": 1075.12, "duration": 3.09}, {"text": "when you back to the campus probably get", "start": 1077.07, "duration": 3.03}, {"text": "all the stuff that we got from him away", "start": 1078.21, "duration": 3.45}, {"text": "new we shouldn't forget it actually no I", "start": 1080.1, "duration": 5.04}, {"text": "shouldn't trusted it are you sick I'd", "start": 1081.66, "duration": 4.35}, {"text": "okay", "start": 1085.14, "duration": 3.09}, {"text": "I feel 100 percent fine I mean I feel", "start": 1086.01, "duration": 4.11}, {"text": "totally fine I'm wearing this Gil mail", "start": 1088.23, "duration": 3.84}, {"text": "maybe it was just in the mail but if", "start": 1090.12, "duration": 4.62}, {"text": "they if they put something in this game", "start": 1092.07, "duration": 5.07}, {"text": "mail they must apply to run back to camp", "start": 1094.74, "duration": 4.29}, {"text": "and make sure go back the grain okay I", "start": 1097.14, "duration": 4.94}, {"text": "go back as fast as I can", "start": 1099.03, "duration": 3.05}, {"text": "everybody roll D fours in general ingest", "start": 1102.169, "duration": 7.561}, {"text": "in general everyone role would be for", "start": 1106.59, "duration": 3.14}, {"text": "one three - sorry what this is what", "start": 1110.149, "duration": 10.02}, {"text": "happens no key starts instantly running", "start": 1117.979, "duration": 6.68}, {"text": "back to the camp he sees three soldiers", "start": 1120.169, "duration": 12.47}, {"text": "in your camp one is over the bodies of", "start": 1124.659, "duration": 13.02}, {"text": "his dead wife and child", "start": 1132.639, "duration": 5.04}, {"text": "you see lily and maple are dead you see", "start": 1137.769, "duration": 8.74}, {"text": "that Meera", "start": 1143.679, "duration": 6.16}, {"text": "no not Meera is nowhere to be found", "start": 1146.509, "duration": 5.46}, {"text": "you see maybe she stole a lot of Tilda", "start": 1149.839, "duration": 6.12}, {"text": "and lil Steve are nowhere to be found", "start": 1151.969, "duration": 6.78}, {"text": "how many birdies guys hi I draw my bow", "start": 1155.959, "duration": 6.75}, {"text": "and arrow you guys get the surprise", "start": 1158.749, "duration": 10.55}, {"text": "round okay okay roll initiative okay", "start": 1162.709, "duration": 6.59}, {"text": "7:19", "start": 1171.399, "duration": 5.441}, {"text": "sixteen you also see that the town elder", "start": 1174.02, "duration": 5.46}, {"text": "is on the ground you can't tell if he's", "start": 1176.84, "duration": 3.839}, {"text": "dead or not though what he's bloody", "start": 1179.48, "duration": 3.419}, {"text": "darienne's your turn just civilians", "start": 1180.679, "duration": 7.86}, {"text": "man I'm there draw an arrow and prepare", "start": 1182.899, "duration": 8.52}, {"text": "to fire at this swinger right here who's", "start": 1188.539, "duration": 5.101}, {"text": "standing over the elder because I afraid", "start": 1191.419, "duration": 4.081}, {"text": "he's about to kill her okay", "start": 1193.64, "duration": 9.149}, {"text": "oh I rolled a 1 so Capri motion I am", "start": 1195.5, "duration": 9.0}, {"text": "like so shaken because I'm so worried of", "start": 1202.789, "duration": 4.291}, {"text": "mirror I just like like totally hate to", "start": 1204.5, "duration": 6.149}, {"text": "shine roll yourself half damaged so you", "start": 1207.08, "duration": 6.15}, {"text": "cut your hand okay", "start": 1210.649, "duration": 4.53}, {"text": "thank God you only villains over there", "start": 1213.23, "duration": 4.079}, {"text": "were so I lose to hit let's go", "start": 1215.179, "duration": 4.771}, {"text": "so I'm at a 20 alright so Rand it's your", "start": 1217.309, "duration": 4.791}, {"text": "turn I'm going to use my charger ability", "start": 1219.95, "duration": 5.55}, {"text": "so running in here right up to this guy", "start": 1222.1, "duration": 7.39}, {"text": "I'm gonna attack him I'm instead I've", "start": 1225.5, "duration": 5.97}, {"text": "got the option T to do 5 bonus damage or", "start": 1229.49, "duration": 3.84}, {"text": "to knock them back 10 feet", "start": 1231.47, "duration": 3.809}, {"text": "looks like the fire is about 10 feet", "start": 1233.33, "duration": 3.69}, {"text": "behind me so I'm gonna be knocking him", "start": 1235.279, "duration": 3.481}, {"text": "right into that fire with this attack", "start": 1237.02, "duration": 3.029}, {"text": "all right do it", "start": 1238.76, "duration": 5.7}, {"text": "alright oh hey pretty cool way oh not", "start": 1240.049, "duration": 8.88}, {"text": "good okay I just critical failure jeez", "start": 1244.46, "duration": 6.599}, {"text": "we both we're both so emotional about", "start": 1248.929, "duration": 3.961}, {"text": "not knowing that our families are we're", "start": 1251.059, "duration": 4.081}, {"text": "just like totally right with it soon", "start": 1252.89, "duration": 4.35}, {"text": "yeah yeah your career for failure is", "start": 1255.14, "duration": 4.47}, {"text": "pretty obvious you fall into the fire he", "start": 1257.24, "duration": 4.86}, {"text": "tripped and fallen to the wire um so", "start": 1259.61, "duration": 5.12}, {"text": "just put yourself on top of the fire and", "start": 1262.1, "duration": 6.36}, {"text": "the fire deals you this much damage you", "start": 1264.73, "duration": 5.949}, {"text": "take two points of damage and start", "start": 1268.46, "duration": 3.0}, {"text": "burning yourself", "start": 1270.679, "duration": 3.271}, {"text": "alright I'm shaking a tubeless container", "start": 1271.46, "duration": 3.75}, {"text": "it's no keister", "start": 1273.95, "duration": 4.949}, {"text": "I move up this tree taking cover behind", "start": 1275.21, "duration": 7.469}, {"text": "it in a cast produce flame a little", "start": 1278.899, "duration": 5.28}, {"text": "flame appears in my hand I can roll up", "start": 1282.679, "duration": 4.291}, {"text": "30 feet I do so pro at this guy trying", "start": 1284.179, "duration": 4.62}, {"text": "to light his cloak on fire it does 1d8", "start": 1286.97, "duration": 4.679}, {"text": "fire damage I rolled the 1919 plus 60", "start": 1288.799, "duration": 4.591}, {"text": "you guys when I would that would hit all", "start": 1291.649, "duration": 3.63}, {"text": "right beautiful damage boom", "start": 1293.39, "duration": 6.93}, {"text": "yeah it's 1d8 fire damage house", "start": 1295.279, "duration": 8.581}, {"text": "6 sweet all right you built six damage", "start": 1300.32, "duration": 5.19}, {"text": "to one of the guards and his clothes", "start": 1303.86, "duration": 2.85}, {"text": "start on fire and immediately start", "start": 1305.51, "duration": 5.94}, {"text": "screaming all the guards suddenly go at", "start": 1306.71, "duration": 6.9}, {"text": "what the hell's going on they turn and", "start": 1311.45, "duration": 5.339}, {"text": "they see everyone is burning guard turns", "start": 1313.61, "duration": 5.25}, {"text": "and sees you because you failed yourself", "start": 1316.789, "duration": 3.031}, {"text": "weren't good enough", "start": 1318.86, "duration": 3.929}, {"text": "this one he flicks the blood off of his", "start": 1319.82, "duration": 6.45}, {"text": "spear and my job's bad or my wife's", "start": 1322.789, "duration": 9.211}, {"text": "blood both mixed together and this one", "start": 1326.27, "duration": 6.21}, {"text": "ignores", "start": 1332.0, "duration": 3.299}, {"text": "both of everyone and it's going for", "start": 1332.48, "duration": 5.549}, {"text": "something in this tent and we hear a", "start": 1335.299, "duration": 6.09}, {"text": "spoon you know precisely jack this game", "start": 1338.029, "duration": 6.091}, {"text": "I really are I'm gonna press up to check", "start": 1341.389, "duration": 4.711}, {"text": "to see if I can see who that screaming", "start": 1344.12, "duration": 4.49}, {"text": "is I really you know exactly who this is", "start": 1346.1, "duration": 6.959}, {"text": "1999 it's Mira in this tent bring that", "start": 1348.61, "duration": 6.669}, {"text": "tents oh okay", "start": 1353.059, "duration": 5.521}, {"text": "and now with that this is burning guard", "start": 1355.279, "duration": 6.331}, {"text": "is sees this person who just catch them", "start": 1358.58, "duration": 5.76}, {"text": "on fire yeah it runs straight towards", "start": 1361.61, "duration": 5.279}, {"text": "you and tries to stab you with a spear", "start": 1364.34, "duration": 3.709}, {"text": "this to touch me", "start": 1366.889, "duration": 4.431}, {"text": "no chance", "start": 1368.049, "duration": 3.271}, {"text": "now the next one here that just killed", "start": 1373.649, "duration": 7.6}, {"text": "potentially killed Lily enabled sees the", "start": 1377.489, "duration": 5.62}, {"text": "others wiggle here and he sees this guy", "start": 1381.249, "duration": 4.56}, {"text": "burning in the fire his barbarians", "start": 1383.109, "duration": 5.461}, {"text": "savages and he runs up to the savage in", "start": 1385.809, "duration": 4.651}, {"text": "the fire and tries to thrust at Haley", "start": 1388.57, "duration": 7.109}, {"text": "with this spear man these guys suck 9", "start": 1390.46, "duration": 6.599}, {"text": "doesn't hit you that's for sure I know", "start": 1395.679, "duration": 3.36}, {"text": "that no he's just trying to stab this", "start": 1397.059, "duration": 4.05}, {"text": "burning guy in the fire and as we see", "start": 1399.039, "duration": 4.11}, {"text": "that one over the park is now stabbing", "start": 1401.109, "duration": 3.99}, {"text": "his spear into the tent trying to kill", "start": 1403.149, "duration": 6.571}, {"text": "something critically fails it rolls a 1", "start": 1405.099, "duration": 8.971}, {"text": "I think not he rolls a 1 and what he", "start": 1409.72, "duration": 6.24}, {"text": "does is he winds up the spear and I like", "start": 1414.07, "duration": 3.87}, {"text": "it's caught on a sleeve and it does the", "start": 1415.96, "duration": 3.149}, {"text": "same thing that you did with your arrow", "start": 1417.94, "duration": 3.869}, {"text": "and it slices his own arm bleeding from", "start": 1419.109, "duration": 7.8}, {"text": "his arm or like he doesn't say that is", "start": 1421.809, "duration": 7.79}, {"text": "like evil Katims he's like Garrett", "start": 1426.909, "duration": 4.83}, {"text": "garnet dang that's what he says whatever", "start": 1429.599, "duration": 3.611}, {"text": "everything point is he's all bleeding", "start": 1431.739, "duration": 3.57}, {"text": "and bloody and they just your turn do", "start": 1433.21, "duration": 3.779}, {"text": "the Vita's ok", "start": 1435.309, "duration": 5.37}, {"text": "Louise I'm gonna I'm going to step over", "start": 1436.989, "duration": 6.15}, {"text": "here and I'm going to shoot him straight", "start": 1440.679, "duration": 3.48}, {"text": "in the back of the head if you miss", "start": 1443.139, "duration": 2.46}, {"text": "Michael lieutenant be careful not gonna", "start": 1444.159, "duration": 4.4}, {"text": "make you miss your wife", "start": 1445.599, "duration": 2.96}, {"text": "just sending it hits those through 24", "start": 1448.71, "duration": 5.38}, {"text": "way in the back of the head that's true", "start": 1452.289, "duration": 4.34}, {"text": "it's true", "start": 1454.09, "duration": 2.539}, {"text": "oh he's already damaged to get the roll", "start": 1457.21, "duration": 6.329}, {"text": "in extra one two three four oh five", "start": 1459.1, "duration": 7.529}, {"text": "damaged five damaged it goes like this", "start": 1463.539, "duration": 6.061}, {"text": "into his arm and like sticks through his", "start": 1466.629, "duration": 6.451}, {"text": "other arms blood comes out he's like he", "start": 1469.6, "duration": 5.88}, {"text": "is pretty jacked up with that he like", "start": 1473.08, "duration": 4.169}, {"text": "it's a reaction he just kind of turns to", "start": 1475.48, "duration": 4.889}, {"text": "you freaks out he's freaked out that was", "start": 1477.249, "duration": 5.01}, {"text": "a pretty solid strike especially after", "start": 1480.369, "duration": 3.721}, {"text": "he checks himself up - anyways grants", "start": 1482.259, "duration": 4.05}, {"text": "turn I'm going straight for this guy", "start": 1484.09, "duration": 4.289}, {"text": "that's right next to me cool runner on", "start": 1486.309, "duration": 3.12}, {"text": "the backside there and I'm gonna swing", "start": 1488.379, "duration": 4.38}, {"text": "at this this mofo you're what 13 which", "start": 1489.429, "duration": 8.85}, {"text": "is a 19 hit on 19 and damage-wise I do", "start": 1492.759, "duration": 10.561}, {"text": "15 damage to 15 damn it oh dude champion", "start": 1498.279, "duration": 7.321}, {"text": "rolls up behind us car so his sword", "start": 1503.32, "duration": 4.53}, {"text": "flies through and just goes like too", "start": 1505.6, "duration": 3.779}, {"text": "soon", "start": 1507.85, "duration": 5.059}, {"text": "head straight off body in the fire", "start": 1509.379, "duration": 8.941}, {"text": "burning dead no key Stern look I just", "start": 1512.909, "duration": 11.551}, {"text": "slashed him flashing slashed him with a", "start": 1518.32, "duration": 9.799}, {"text": "1818 piss I do", "start": 1524.46, "duration": 7.839}, {"text": "seven points of damage slice him across", "start": 1528.119, "duration": 6.13}, {"text": "the chest and blood starts squirting all", "start": 1532.299, "duration": 4.47}, {"text": "over place he's still alive though he's", "start": 1534.249, "duration": 4.351}, {"text": "bloodied as you can see by the blood all", "start": 1536.769, "duration": 5.13}, {"text": "over him anyways it is now the guards", "start": 1538.6, "duration": 6.209}, {"text": "turn the guard in front of no key takes", "start": 1541.899, "duration": 7.97}, {"text": "his spear and tries to stab you", "start": 1544.809, "duration": 5.06}, {"text": "he sucks like you tell me already missus", "start": 1550.08, "duration": 5.25}, {"text": "now the next guard on fire not on fire", "start": 1552.54, "duration": 5.16}, {"text": "he's not on fire he's just messed up and", "start": 1555.33, "duration": 4.77}, {"text": "jacked up he sees everyone and he yet", "start": 1557.7, "duration": 4.41}, {"text": "takes a full round action to start", "start": 1560.1, "duration": 7.32}, {"text": "fleeing one two three four five six", "start": 1562.11, "duration": 10.11}, {"text": "seven eight nine ten eleven twelve", "start": 1567.42, "duration": 8.04}, {"text": "dang the shot he starts proofing away in", "start": 1572.22, "duration": 7.11}, {"text": "fear it's your turn I'm gonna I'm gonna", "start": 1575.46, "duration": 5.55}, {"text": "see this guy sprinting here the woods", "start": 1579.33, "duration": 3.84}, {"text": "I'm gonna chase out there one two", "start": 1581.01, "duration": 4.52}, {"text": "Freddy's through to my bank four five", "start": 1583.17, "duration": 5.85}, {"text": "six yeah I see him like like popping", "start": 1585.53, "duration": 4.99}, {"text": "their treat him draw arrow and you got a", "start": 1589.02, "duration": 3.78}, {"text": "shot shot right painting trees well I'm", "start": 1590.52, "duration": 8.4}, {"text": "gonna roll to hit him 22 Princess", "start": 1592.8, "duration": 8.13}, {"text": "Mononoke him let's see how bad it is", "start": 1598.92, "duration": 5.96}, {"text": "you're like a 10 pop turn 18 18 18", "start": 1600.93, "duration": 6.83}, {"text": "points 10 points of damage to his brain", "start": 1604.88, "duration": 10.06}, {"text": "18 points and this head it just explodes", "start": 1607.76, "duration": 8.53}, {"text": "it's just straight through his skull", "start": 1614.94, "duration": 3.87}, {"text": "fragments brains guts just like just", "start": 1616.29, "duration": 5.82}, {"text": "rolling rolling in it with blood all", "start": 1618.81, "duration": 4.23}, {"text": "over the ground", "start": 1622.11, "duration": 10.17}, {"text": "romi perception check 23 the corner of", "start": 1623.04, "duration": 13.2}, {"text": "your eye you see a wagons it's like this", "start": 1632.28, "duration": 6.77}, {"text": "one pulling away from the house and", "start": 1636.24, "duration": 7.68}, {"text": "going over the bridge just as you look", "start": 1639.05, "duration": 7.12}, {"text": "away from your your corpse after that", "start": 1643.92, "duration": 4.26}, {"text": "I'm going to use my last move action to", "start": 1646.17, "duration": 4.08}, {"text": "move one back towards the dirt na my", "start": 1648.18, "duration": 5.37}, {"text": "turn got it and bran", "start": 1650.25, "duration": 5.88}, {"text": "the real advantage I'm playing I'm shot", "start": 1653.55, "duration": 6.72}, {"text": "to 2d toys and you take the vest here we", "start": 1656.13, "duration": 8.37}, {"text": "go it's 15 plus oh that's a hit you yeah", "start": 1660.27, "duration": 6.96}, {"text": "if it think it's and damage-wise we're", "start": 1664.5, "duration": 7.77}, {"text": "doing 13 damage done you destroy him you", "start": 1667.23, "duration": 7.04}, {"text": "kind of hit him and it's kind of loose", "start": 1672.27, "duration": 4.77}, {"text": "associated parts that kind of go flying", "start": 1674.27, "duration": 6.7}, {"text": "away into the tree already go go over", "start": 1677.04, "duration": 8.3}, {"text": "Nika Oh girls ah got him I'm out", "start": 1680.97, "duration": 7.44}, {"text": "everyone is no longer in initiative no", "start": 1685.34, "duration": 5.44}, {"text": "one initiative is over okay okay I", "start": 1688.41, "duration": 4.68}, {"text": "merely run towards my wife and child and", "start": 1690.78, "duration": 3.93}, {"text": "hold their bodies and start crying all", "start": 1693.09, "duration": 6.84}, {"text": "right no yeah maple I'm gonna Rob says", "start": 1694.71, "duration": 7.89}, {"text": "ten dart over the tent I don't yell look", "start": 1699.93, "duration": 4.38}, {"text": "at the village I just I jump over his", "start": 1702.6, "duration": 4.41}, {"text": "body as I'm running to get to the tent", "start": 1704.31, "duration": 7.86}, {"text": "your wife is alive oh thank god jeez", "start": 1707.01, "duration": 6.15}, {"text": "there it is like Oh", "start": 1712.17, "duration": 5.49}, {"text": "Darian how dare you know O'Meara O'Meara", "start": 1713.16, "duration": 7.59}, {"text": "you okay didn't harm you did they oh but", "start": 1717.66, "duration": 5.43}, {"text": "they killed everyone else you okay don't", "start": 1720.75, "duration": 5.79}, {"text": "you okay okay Hey they took the tailbone", "start": 1723.09, "duration": 5.79}, {"text": "is Steve middle Steve they talk to the", "start": 1726.54, "duration": 3.03}, {"text": "slaves", "start": 1728.88, "duration": 4.26}, {"text": "they're not gonna sneeze the Sarge is", "start": 1729.57, "duration": 6.03}, {"text": "talking they took them to tell you oh", "start": 1733.14, "duration": 5.67}, {"text": "you're so beautiful I know also sexy", "start": 1735.6, "duration": 6.57}, {"text": "what I'm sorry ah oh oh yeah go wait", "start": 1738.81, "duration": 4.95}, {"text": "hold on the vault the village elders", "start": 1742.17, "duration": 2.85}, {"text": "damn it I turn around and go to the", "start": 1743.76, "duration": 3.51}, {"text": "village older before I do this both his", "start": 1745.02, "duration": 8.04}, {"text": "legs are broken and like backwards back", "start": 1747.27, "duration": 7.53}, {"text": "ways really like this yeah there's", "start": 1753.06, "duration": 4.38}, {"text": "always on the wrong way I got one hit", "start": 1754.8, "duration": 3.83}, {"text": "point left", "start": 1757.44, "duration": 5.16}, {"text": "19:19 nipple one hit point my god I've", "start": 1758.63, "duration": 5.5}, {"text": "never known anyone who got that look", "start": 1762.6, "duration": 3.84}, {"text": "make me a fire feed me some food food", "start": 1764.13, "duration": 3.27}, {"text": "before I die", "start": 1766.44, "duration": 3.71}, {"text": "beautiful", "start": 1767.4, "duration": 2.75}, {"text": "Ladell they're so weird probably drop my", "start": 1771.87, "duration": 5.88}, {"text": "you're the weirdest okay", "start": 1775.17, "duration": 5.13}, {"text": "Oh avenge the tribe come back to me with", "start": 1777.75, "duration": 4.89}, {"text": "supplies and maybe heal me all you have", "start": 1780.3, "duration": 4.41}, {"text": "to tend oh I know I know your family's", "start": 1782.64, "duration": 3.21}, {"text": "dead I'm gonna try to persuade him right", "start": 1784.71, "duration": 4.44}, {"text": "now who's a life oh man dude you guys I", "start": 1785.85, "duration": 5.25}, {"text": "got a s'more I'm personally I don't give", "start": 1789.15, "duration": 4.95}, {"text": "a crap about the village elder he sucks", "start": 1791.1, "duration": 4.709}, {"text": "as a village elder my opinion wanna me", "start": 1794.1, "duration": 6.69}, {"text": "run me into hiding event shows look I'm", "start": 1795.809, "duration": 7.111}, {"text": "the village elder take these gifts with", "start": 1800.79, "duration": 4.769}, {"text": "you it's a scroll of lesser restoration", "start": 1802.92, "duration": 7.38}, {"text": "brand for your ailment perfect thank you", "start": 1805.559, "duration": 7.741}, {"text": "it's three healing potions one for each", "start": 1810.3, "duration": 3.66}, {"text": "of you", "start": 1813.3, "duration": 3.0}, {"text": "lesser minor healing potions you", "start": 1813.96, "duration": 4.2}, {"text": "remember how I'm so wise yeah it's", "start": 1816.3, "duration": 3.03}, {"text": "actually because of this ancient", "start": 1818.16, "duration": 3.899}, {"text": "medallion that I wearing and let it take", "start": 1819.33, "duration": 5.7}, {"text": "it and offer it to one of you dibs", "start": 1822.059, "duration": 6.841}, {"text": "wisdoms my main modifier neat go for it", "start": 1825.03, "duration": 4.5}, {"text": "yes", "start": 1828.9, "duration": 3.029}, {"text": "all right we dyed users no can you paint", "start": 1829.53, "duration": 6.12}, {"text": "this medallion of generation it's a", "start": 1831.929, "duration": 5.371}, {"text": "medallion of divination you can cast", "start": 1835.65, "duration": 6.36}, {"text": "divination once per day it's a spell", "start": 1837.3, "duration": 6.03}, {"text": "all right now it's our kind of here we", "start": 1842.01, "duration": 6.89}, {"text": "go seven divination it's like it's like", "start": 1843.33, "duration": 8.57}, {"text": "divine", "start": 1848.9, "duration": 3.0}, {"text": "I'm gonna use it right now you hear a", "start": 1852.17, "duration": 5.47}, {"text": "voice in the back of your head ask", "start": 1855.66, "duration": 5.28}, {"text": "nature a question where our brains", "start": 1857.64, "duration": 5.85}, {"text": "family where is Ryan's family", "start": 1860.94, "duration": 8.219}, {"text": "brands family once whole now separated", "start": 1863.49, "duration": 10.309}, {"text": "one near one much further away and", "start": 1869.159, "duration": 7.02}, {"text": "that's the answer and the spell ends", "start": 1873.799, "duration": 3.73}, {"text": "troll that's it", "start": 1876.179, "duration": 4.261}, {"text": "Brandon one of your family members has", "start": 1877.529, "duration": 5.671}, {"text": "been taken I think one is here somewhere", "start": 1880.44, "duration": 5.28}, {"text": "well I greatly appreciate if you'd help", "start": 1883.2, "duration": 5.459}, {"text": "me search uh I'll see how well I can", "start": 1885.72, "duration": 5.179}, {"text": "perceive through these tears in my eyes", "start": 1888.659, "duration": 4.471}, {"text": "you roll disadvantaged because you tears", "start": 1890.899, "duration": 10.601}, {"text": "in your eyes again Tico says look guys", "start": 1893.13, "duration": 10.529}, {"text": "there's my dead child like yeah yeah", "start": 1901.5, "duration": 4.62}, {"text": "even he just doesn't actually help I", "start": 1903.659, "duration": 4.77}, {"text": "don't care isn't this is there some like", "start": 1906.12, "duration": 4.76}, {"text": "cool s wise tree that no ki knows about", "start": 1908.429, "duration": 4.651}, {"text": "here's the thing just put us a new tree", "start": 1910.88, "duration": 3.97}, {"text": "for a little bit while you guys go every", "start": 1913.08, "duration": 3.9}, {"text": "Darian Real Talk real talk", "start": 1914.85, "duration": 3.36}, {"text": "I'm happy to put your wife in my tree", "start": 1916.98, "duration": 3.48}, {"text": "but frankly I've never really liked the", "start": 1918.21, "duration": 3.66}, {"text": "town elder I've always thought he's kind", "start": 1920.46, "duration": 3.36}, {"text": "of a goofball he's kind of crappy at it", "start": 1921.87, "duration": 3.99}, {"text": "you guys are chilled though so your wife", "start": 1923.82, "duration": 4.109}, {"text": "can say they're heating up as always", "start": 1925.86, "duration": 5.13}, {"text": "later today so he's an old man are you", "start": 1927.929, "duration": 5.341}, {"text": "gonna leave him to die death is part of", "start": 1930.99, "duration": 4.08}, {"text": "the circle of life the old man is like", "start": 1933.27, "duration": 6.96}, {"text": "this makes a funny sound a bird flies", "start": 1935.07, "duration": 7.55}, {"text": "over", "start": 1940.23, "duration": 2.39}, {"text": "swords Oh live things does a cool", "start": 1943.009, "duration": 5.77}, {"text": "backflip let's the sick flip and lands", "start": 1946.559, "duration": 5.011}, {"text": "next to them and like rigor to rates", "start": 1948.779, "duration": 5.13}, {"text": "regurgitate some food into his mouth", "start": 1951.57, "duration": 6.539}, {"text": "I go nothing I don't want that happening", "start": 1953.909, "duration": 6.57}, {"text": "my house you kept the bird it's like I", "start": 1958.109, "duration": 3.66}, {"text": "feel better but my legs are still", "start": 1960.479, "duration": 5.28}, {"text": "backwards I don't have a try Spencer", "start": 1961.769, "duration": 5.88}, {"text": "trying to move on his own damn you try", "start": 1965.759, "duration": 4.5}, {"text": "isn't it I'm gonna move on my coop he", "start": 1967.649, "duration": 5.1}, {"text": "don't himself one hit point and he has", "start": 1970.259, "duration": 4.561}, {"text": "zero hit points you know a zero hit", "start": 1972.749, "duration": 4.14}, {"text": "points he broke his leg even harder when", "start": 1974.82, "duration": 4.65}, {"text": "he tried to move in he said so and that", "start": 1976.889, "duration": 3.9}, {"text": "means he's dying and I'm gonna start", "start": 1979.47, "duration": 2.85}, {"text": "rolling for him to truly die if you guys", "start": 1980.789, "duration": 4.82}, {"text": "don't save his life we have no room to", "start": 1982.32, "duration": 7.77}, {"text": "have someone burn us he's well beyond", "start": 1985.609, "duration": 6.971}, {"text": "beyond saving he's certainly not coming", "start": 1990.09, "duration": 5.279}, {"text": "with us to go after his people that", "start": 1992.58, "duration": 6.329}, {"text": "attacked us I draw my short-sword I'm", "start": 1995.369, "duration": 5.67}, {"text": "gonna put him at his misery he opens his", "start": 1998.909, "duration": 5.22}, {"text": "eyes like this a little bit oh hey guys", "start": 2001.039, "duration": 7.02}, {"text": "hit with your sword near his neck what's", "start": 2004.129, "duration": 5.43}, {"text": "going we're gonna take her and escort", "start": 2008.059, "duration": 2.85}, {"text": "her to the tree all right do you guys do", "start": 2009.559, "duration": 2.73}, {"text": "that you're back and you're good she's", "start": 2010.909, "duration": 3.24}, {"text": "gone she's dead the tree that's what", "start": 2012.289, "duration": 3.12}, {"text": "your home trees like you can see she's", "start": 2014.149, "duration": 2.821}, {"text": "pretty well hidden there's like animals", "start": 2015.409, "duration": 3.301}, {"text": "sniffing around it and stuff they can't", "start": 2016.97, "duration": 3.419}, {"text": "find her this is a bear that walks up", "start": 2018.71, "duration": 3.659}, {"text": "right there in like poops it's like no", "start": 2020.389, "duration": 4.65}, {"text": "one here anyways so like anyways I'm", "start": 2022.369, "duration": 4.86}, {"text": "gonna search the soldiers bodies for", "start": 2025.039, "duration": 4.801}, {"text": "items or any clue to where they came", "start": 2027.229, "duration": 3.45}, {"text": "from or who they are", "start": 2029.84, "duration": 5.069}, {"text": "so basically D finds a scroll on one of", "start": 2030.679, "duration": 7.5}, {"text": "the guards bodies it says there are were", "start": 2034.909, "duration": 6.84}, {"text": "orders to come and clear the outskirts", "start": 2038.179, "duration": 5.7}, {"text": "of the town of savages so that they", "start": 2041.749, "duration": 5.581}, {"text": "could build more farms the border was", "start": 2043.879, "duration": 8.821}, {"text": "set by or voll the cleric of Quinton", "start": 2047.33, "duration": 8.43}, {"text": "Shire Ervil Quinton Shire Orville of", "start": 2052.7, "duration": 7.639}, {"text": "Quinton Shire sent these orders directly", "start": 2055.76, "duration": 6.809}, {"text": "all right Nico what are you gonna do", "start": 2060.339, "duration": 3.31}, {"text": "with the corpses of your bed me and", "start": 2062.569, "duration": 3.06}, {"text": "family the dead ones take my wife and", "start": 2063.649, "duration": 3.78}, {"text": "put it right here", "start": 2065.629, "duration": 3.45}, {"text": "and I surround her with like various", "start": 2067.429, "duration": 3.15}, {"text": "leaves and moss that will help encourage", "start": 2069.079, "duration": 3.21}, {"text": "decomposition and mushrooms and like", "start": 2070.579, "duration": 3.361}, {"text": "spores oh you're gonna make a part of a", "start": 2072.289, "duration": 3.39}, {"text": "tree and I do the same thing with my kid", "start": 2073.94, "duration": 4.05}, {"text": "and I sprinkle seeds on top of the", "start": 2075.679, "duration": 3.6}, {"text": "bodies and over the next couple weeks", "start": 2077.99, "duration": 3.45}, {"text": "they will decompose and they will turn", "start": 2079.279, "duration": 4.35}, {"text": "into fertilizer for new trees overall", "start": 2081.44, "duration": 3.629}, {"text": "and wine themselves around my country", "start": 2083.629, "duration": 3.391}, {"text": "that's beautiful meaningful significant", "start": 2085.069, "duration": 3.421}, {"text": "and also you just got an inspiration", "start": 2087.02, "duration": 4.289}, {"text": "pause yes you got an inspiration boy", "start": 2088.49, "duration": 4.379}, {"text": "Martha found eco that gives you", "start": 2091.309, "duration": 3.99}, {"text": "advantage on anything you want was that", "start": 2092.869, "duration": 4.321}, {"text": "great you only get one effectively at a", "start": 2095.299, "duration": 3.361}, {"text": "time when you want to use that up boom", "start": 2097.19, "duration": 3.99}, {"text": "suddenly man you get advantage of", "start": 2098.66, "duration": 3.51}, {"text": "anything you do", "start": 2101.18, "duration": 3.359}, {"text": "um I remember the memory of my kids and", "start": 2102.17, "duration": 3.899}, {"text": "wife my kid wine that's pretty one else", "start": 2104.539, "duration": 3.81}, {"text": "pretty sweet that's pretty awesome what", "start": 2106.069, "duration": 9.451}, {"text": "do you what next guys all right let's go", "start": 2108.349, "duration": 9.651}, {"text": "get more people", "start": 2115.52, "duration": 2.48}, {"text": "Oh thousand three hundred nineteen crowd", "start": 2119.37, "duration": 6.6}, {"text": "we got him we got a posse yo guys season", "start": 2122.55, "duration": 8.28}, {"text": "people up in this clan boom solution", "start": 2125.97, "duration": 8.54}, {"text": "arrows someone in that roof", "start": 2130.83, "duration": 3.68}] \ No newline at end of file diff --git a/src/babel_bardo/constants.py b/src/babel_bardo/constants.py new file mode 100644 index 0000000..4360f51 --- /dev/null +++ b/src/babel_bardo/constants.py @@ -0,0 +1,10 @@ +import pathlib + +TRANSCRIPTS_CACHE = pathlib.Path(__file__).parent.joinpath("cache", "transcripts").resolve() + +MODEL = 'facebook/musicgen-small' +EXTEND_STRIDE = 10 +DURATION = 30 +CROSSFADE_DURATION = 1 + +SEED = 2147483647 \ No newline at end of file diff --git a/src/babel_bardo/eval_metrics.py b/src/babel_bardo/eval_metrics.py new file mode 100644 index 0000000..5a71dcb --- /dev/null +++ b/src/babel_bardo/eval_metrics.py @@ -0,0 +1,357 @@ +import os +import shutil +from typing import Generator +from pathlib import Path +import math + +from tqdm import tqdm + +import ffmpeg +import numpy as np +import torch +import torchaudio + +from frechet_audio_distance import FrechetAudioDistance + +from .passt.passt import get_passt + +def _audio_dir_to_mono_sr_wav(audios_dir:str, sr:int=32000, ident:str='', segment:int=0): + folder_name = f"{ident}_wav_{sr}_mono_{segment}" + wav_audios_path = os.path.join(audios_dir, folder_name) + + if not os.path.isdir(wav_audios_path): + os.mkdir(wav_audios_path) + else: + return wav_audios_path + + for audio in os.listdir(audios_dir): + if audio == folder_name: + continue + + audio_in_path = os.path.join(audios_dir, audio) + + if segment > 0: + wav_audio = audio.split('.')[0] + '_%03d.wav' + else: + wav_audio = audio.split('.')[0] + '.wav' + + audio_out_path = os.path.join(wav_audios_path, wav_audio) + + if os.path.isfile(audio_out_path): + continue + + if segment > 0: + stream = ffmpeg.input(audio_in_path) + stream = ffmpeg.output(stream, audio_out_path, f='segment', segment_time=10, ar=sr, ac=1) + ffmpeg.run(stream) + else: + stream = ffmpeg.input(audio_in_path) + stream = ffmpeg.output(stream, audio_out_path, ar=sr, ac=1) + ffmpeg.run(stream) + + return wav_audios_path + +def get_fad_vggish(background_path:str, eval_path:str, eval_ep_file:str|None, remove_back:bool=True, overall:bool=True) -> tuple[float, float, str]: + SAMPLE_RATE = 16000 + wav_background_path = _audio_dir_to_mono_sr_wav(background_path, sr=SAMPLE_RATE, ident='back', segment=30) + + wav_eval_path = '' + if overall: + wav_eval_path = _audio_dir_to_mono_sr_wav(eval_path, sr=SAMPLE_RATE, ident='eval', segment=30) + else: + folder_name = f"eval_wav_{SAMPLE_RATE}_mono_30" + wav_eval_path = os.path.join(eval_path, folder_name) + if not os.path.isdir(wav_eval_path): + os.mkdir(wav_eval_path) + + frechet = FrechetAudioDistance( + ckpt_dir="../checkpoints/vggish", + model_name="vggish", + sample_rate=SAMPLE_RATE, + use_pca=False, + use_activation=False, + verbose=True, + audio_load_worker=8, + ) + + overall_fad = -1 + if overall: + overall_fad = frechet.score( + wav_background_path, + wav_eval_path, + dtype="float32" + ) + + ep_fad = -1 + if eval_ep_file: + tmp_eval_path = os.path.join(wav_eval_path, 'tmp_eval_ep_fad') + tmp_eval_file = os.path.join(tmp_eval_path, eval_ep_file.split('/')[-1]) + os.mkdir(tmp_eval_path) + + eval_ep_file = os.path.join(eval_path, eval_ep_file.split('/')[-1]) + os.rename(eval_ep_file, tmp_eval_file) + + tmp_eval_converted_path = _audio_dir_to_mono_sr_wav(tmp_eval_path, sr=SAMPLE_RATE, ident='tmp_eval', segment=30) + + ep_fad = frechet.score( + wav_background_path, + tmp_eval_converted_path, + dtype="float32" + ) + + # Clear temp + os.rename(tmp_eval_file, eval_ep_file) + shutil.rmtree(tmp_eval_path) + + # Clear temp + if remove_back: + shutil.rmtree(wav_background_path) + + if overall: + shutil.rmtree(wav_eval_path) + + return overall_fad, ep_fad, wav_background_path + +def _audio_iter(audio_path:str|Path, sr:int=32000, seconds:int=10) -> Generator[torch.Tensor, None, None]: + """ + sr: sample rate + """ + # Get audio tensor + streamer = torchaudio.io.StreamReader(str(audio_path)) + + streamer.add_basic_audio_stream( + frames_per_chunk=sr*seconds, + ) + + for chunk in streamer.stream(): + # audio_wave needs shape of [batch, seconds*sample_rate] + # since we have only one channel and one batch, the channel + # dim is beeing being repurposed as the batch one + audio = chunk[0].transpose(1,0).cuda() + + yield audio + +def _transition_audio_iter(audio_file:str|Path, save_path:str|Path|None, sr:int=32000) -> Generator[torch.Tensor, None, None]: + """ + sr: sample rate + """ + # Get audio tensor + streamer = torchaudio.io.StreamReader(str(audio_file)) + + streamer.add_basic_audio_stream( + frames_per_chunk=sr*10, + ) + + current_time = 25 + streamer.seek(current_time) + + for chunk in streamer.stream(): + audio = chunk[0].transpose(1,0) + + if save_path != None: + transition_file = os.path.join(str(save_path), audio_file.split('/')[-1][:-4] + f"_{current_time}_{current_time+10}.wav") + torchaudio.save(transition_file, audio, sample_rate=sr) + + # audio_wave needs shape of [batch, seconds*sample_rate] + # since we have only one channel and one batch, the channel + # dim is beeing being repurposed as the batch one + yield audio.cuda() + + current_time+=30 + streamer.seek(current_time) + +def _transition_segment_iter(audio_file:str|Path, sr:int=32000) -> Generator[torch.Tensor, None, None]: + """ + sr: sample rate + """ + # Get audio tensor + streamer = torchaudio.io.StreamReader(str(audio_file)) + + streamer.add_basic_audio_stream( + frames_per_chunk=sr*10 + ) + + current_time = 20 + streamer.seek(current_time) + + for chunk in streamer.stream(): + segment_1 = chunk[0].transpose(1,0) + + try: + nxt_chunck = next(streamer.stream()) + segment_2 = nxt_chunck[0].transpose(1,0) + except: + continue + + # audio_wave needs shape of [batch, seconds*sample_rate] + # since we have only one channel and one batch, the channel + # dim is beeing being repurposed as the batch one + yield segment_1.cuda(), segment_2.cuda() + + current_time+=30 + streamer.seek(current_time) + +def _calculate_kld(background:torch.Tensor, eval:torch.Tensor) -> float: + """ + Calculates KL-divergence as in https://pytorch.org/docs/stable/generated/torch.nn.KLDivLoss.html + """ + return torch.sum(background * (background.log() - eval.log())).item() + +def get_kld_for_segments_transitions(eval_audio:str|Path) -> dict: + """ + KLD for 10s windows centered in 30s intervals, when the transitions happen, comparing + the generated segment before the transition with the one after the transition. + Only works for audios in mono at 32KHz. + + sr: sample rate + """ + duration = float(ffmpeg.probe(eval_audio)['streams'][0]['duration']) + + total = math.ceil(duration/30) + kld_list = [] # list with mean class klds for each 10s segment + + with torch.no_grad(): + # passt + model = get_passt() + model.eval() + model = model.cuda() + + # For each 10s segment + for first_segment, second_segment in tqdm(_transition_segment_iter(eval_audio, sr=32000), total=total, desc='Segment Transitions KLD'): + first__sig = model(first_segment).squeeze() + second_sig = model(second_segment).squeeze() + + # KLD for each label + class_klds = np.zeros(183) + count = 0 + + for first_prob, second_prob in zip(first__sig, second_sig): + first_distrib = torch.tensor([first_prob, 1 - first_prob]) + second_distrib = torch.tensor([second_prob, 1 - second_prob]) + + class_kld = _calculate_kld(first_distrib, second_distrib) + + class_klds[count] = class_kld + count += 1 + + kld_list.append(class_klds.sum()) + + kld_array = np.array(kld_list) + + return { + 'list': kld_list, + 'sum': kld_array.sum(), + 'mean': kld_array.mean(), + 'std': kld_array.std(), + 'min': kld_array.min(), + 'max': kld_array.max() + } + +def get_kld_for_transitions(background_path:str, background_audio:str|Path, eval_audio:str|Path, save_path:str|Path) -> dict: + """ + KLD for 10s windows centered in 30s intervals, when the transitions happen, of + generated vs original audios. + Only works for audios in mono at 32KHz. + + sr: sample rate + """ + wav_background_path = _audio_dir_to_mono_sr_wav(background_path) + background_audio = os.path.join(wav_background_path, background_audio.split('/')[-1]) + + duration = float(ffmpeg.probe(background_audio)['streams'][0]['duration']) + + total = math.ceil(duration/30) + kld_list = [] # list with mean class klds for each 10s segment + + with torch.no_grad(): + # passt + model = get_passt() + model.eval() + model = model.cuda() + + # For each 10s segment + for back_segment, eval_segment in tqdm(zip(_transition_audio_iter(background_audio, None, sr=32000), _transition_audio_iter(eval_audio, save_path, sr=32000)), total=total, desc='Transitions KLD'): + background_sig = model(back_segment).squeeze() + eval_sig = model(eval_segment).squeeze() + + # KLD for each label + class_klds = np.zeros(183) + count = 0 + + for back_prob, eval_prob in zip(background_sig, eval_sig): + back_distrib = torch.tensor([back_prob, 1 - back_prob]) + eval_distrib = torch.tensor([eval_prob, 1 - eval_prob]) + + class_kld = _calculate_kld(back_distrib, eval_distrib) + + class_klds[count] = class_kld + count += 1 + + kld_list.append(class_klds.sum()) + + kld_array = np.array(kld_list) + + shutil.rmtree(wav_background_path) + + return { + 'list': kld_list, + 'sum': kld_array.sum(), + 'mean': kld_array.mean(), + 'std': kld_array.std(), + 'min': kld_array.min(), + 'max': kld_array.max() + } + +def get_kld(background_path:str|Path, background_audio:str|Path, eval_audio:str|Path) -> dict: + """ + KLD for 10s windows of generated vs original audios. + Only works for audios in mono at 32KHz. + + sr: sample rate + """ + wav_background_path = _audio_dir_to_mono_sr_wav(str(background_path)) + background_audio = os.path.join(wav_background_path, background_audio.split('/')[-1]) + + duration = float(ffmpeg.probe(background_audio)['streams'][0]['duration']) + + total = math.ceil(duration/10) + kld_list = [] # list with mean class klds for each 10s segment + + with torch.no_grad(): + # passt + model = get_passt() + model.eval() + model = model.cuda() + + # For each 10s segment + for back_segment, eval_segment in tqdm(zip(_audio_iter(background_audio, sr=32000), _audio_iter(eval_audio, sr=32000)), total=total, desc='KLD'): + background_sig = model(back_segment).squeeze() + eval_sig = model(eval_segment).squeeze() + + # KLD for each label + class_klds = np.zeros(183) + count = 0 + + for back_prob, eval_prob in zip(background_sig, eval_sig): + back_distrib = torch.tensor([back_prob, 1 - back_prob]) + eval_distrib = torch.tensor([eval_prob, 1 - eval_prob]) + + class_kld = _calculate_kld(back_distrib, eval_distrib) + + class_klds[count] = class_kld + count += 1 + + kld_list.append(class_klds.sum()) + + kld_array = np.array(kld_list) + + shutil.rmtree(wav_background_path) + + return { + 'list': kld_list, + 'sum': kld_array.sum(), + 'mean': kld_array.mean(), + 'std': kld_array.std(), + 'min': kld_array.min(), + 'max': kld_array.max() + } \ No newline at end of file diff --git a/src/babel_bardo/log.py b/src/babel_bardo/log.py new file mode 100644 index 0000000..383c442 --- /dev/null +++ b/src/babel_bardo/log.py @@ -0,0 +1,38 @@ +import os +import datetime +from pathlib import Path +from tqdm import tqdm +from copy import deepcopy +from .ollama_api import PromptConfig +from audiocraft.models import MusicGen + +def clear_log(log_file:str|Path): + log_file = str(log_file) + + if os.path.isfile(log_file): + os.remove(log_file) + +def write_log_header(log_file:str|Path, description:str, prompt_cfg:PromptConfig): + log_file = str(log_file) + + with open(log_file, 'a') as file: + file.write(f"{description} \n{str(prompt_cfg)} \n") + +def write_log_description(model:MusicGen, log_file:str|Path, frases:str, text_prompt:str, idx:int, start_time:int, tqdm_iter:tqdm): + log_file = str(log_file) + + with open(log_file, 'a') as file: + time = str(datetime.timedelta(seconds=start_time + idx*model.duration)) + + f_dict = deepcopy(tqdm_iter.format_dict) + f_dict.update(total=False, bar_format=False, desc='') + + to_write = "" + try: + tqdm_str = tqdm.format_meter(**f_dict) + to_write = f"time: {time} \n" + f"dialog: \n {frases} \n" + f"text_prompt:\n {text_prompt}\n" + f"tqdm: {tqdm_str} \n" + '\n\n' + except: + print("\n Failed to log with tqdm \n") + to_write = f"time: {time} \n" + f"dialog: \n {frases} \n" + f"text_prompt:\n {text_prompt}\n" + '\n\n' + + file.write(to_write) \ No newline at end of file diff --git a/src/babel_bardo/music_gen_bypass.py b/src/babel_bardo/music_gen_bypass.py new file mode 100644 index 0000000..59308de --- /dev/null +++ b/src/babel_bardo/music_gen_bypass.py @@ -0,0 +1,60 @@ +import typing as tp + +import torch + +from audiocraft.models import MusicGen + +def generate_bypass(model:MusicGen, descriptions: tp.List[str], progress: bool = False) -> torch.Tensor: + """Generate tokens [B, K, T] conditioned on text. + + Args: + descriptions (list of str): A list of strings used as text conditioning. + progress (bool, optional): Flag to display progress of the generation process. Defaults to False. + """ + attributes, prompt_tokens = model._prepare_tokens_and_attributes(descriptions, None) + assert prompt_tokens is None + tokens = model._generate_tokens(attributes, prompt_tokens, progress) + return tokens + +def generate_continuation_bypass(model:MusicGen, prompt_tokens: torch.Tensor, prompt_sample_rate: int, + descriptions: tp.Optional[tp.List[tp.Optional[str]]] = None, + progress: bool = False) -> torch.Tensor: + """Generate samples conditioned on audio prompt tokens and an optional text description bypassing encodec decode.. + + Args: + prompt (torch.Tensor): A batch of tokens used for continuation. + Prompt should be [B, K, T], or [K, T] if only one sample is generated. + prompt_sample_rate (int): Sampling rate of the given audio waveforms. + descriptions (list of str, optional): A list of strings used as text conditioning. Defaults to None. + progress (bool, optional): Flag to display progress of the generation process. Defaults to False. + """ + if prompt_tokens.dim() == 2: + prompt_tokens = prompt_tokens[None] + if prompt_tokens.dim() != 3: + raise ValueError("prompt should have 3 dimensions: [B, K, T] (K = 4).") + + if descriptions is None: + descriptions = [None] * len(prompt_tokens) + + attributes, _ = model._prepare_tokens_and_attributes(descriptions, None) + assert prompt_tokens is not None + tokens = model._generate_tokens(attributes, prompt_tokens, progress) + + return tokens + +def encodec_tailfade(model:MusicGen, fade_duration:int, tokens1, tokens2): + assert fade_duration * 2 <= model.duration # fade_duration * 2 can't be greater than model duration + + tokens2_fade = fade_duration * 2 * model.frame_rate + audio_fade = fade_duration * model.sample_rate + + # Tokens 2 gets tokens2_fade tokens from the end of tokens1 + tokens2_render = torch.cat((tokens1[:, :, -tokens2_fade:], tokens2), 2) + + # Generate audio for tokens2 + tokens2_render = model.generate_audio(tokens2_render) + + # Clip audio_fade duration from the beggining and end of tokens2_render + tokens2_render = tokens2_render[:, :, audio_fade:-audio_fade] + + return tokens2_render \ No newline at end of file diff --git a/src/babel_bardo/ollama_api.py b/src/babel_bardo/ollama_api.py new file mode 100644 index 0000000..53f5600 --- /dev/null +++ b/src/babel_bardo/ollama_api.py @@ -0,0 +1,81 @@ +import os +import json +import requests +from enum import Enum + +class OllamaType(Enum): + NONE = -1 + CHAT = 0 + +class PromptConfig(): + def __init__(self, setup:str="", start:str="", end:str="",) -> None: + """ + "setup" will be sent to Ollama teach it the task it needs to perform. + "start" and "end" will be positioned at the beggining and end of the Ollama answer. + If OllamaType.NONE, "start" and "end" will be positioned at the beggining and end of the dialog. + """ + self.setup = setup + self.start = start + self.end = end + + def __str__(self): + return f"prompt start: {self.start}\nprompt setup:{self.setup}\nprompt end: {self.end}\n" + +class OllamaChat(): + def __init__(self, seed:int, window_size:int=20): + """ + window_size: size of the chat history (system role messages are not counted) + """ + self.seed = seed + self.window_size = window_size +1 # +1 to accout for the system message (task prompt) + self.ollama_addres = os.environ['OLLAMA_ADDRES'] + self.chat_state = [] #list of dicts containing the chat history + + def _append_message(self, message): + self.chat_state.append(message) + + if len(self.chat_state) > self.window_size: + del self.chat_state[1] # Never delete the prompt message + + def send(self, prompt:str, setup:bool=False) -> str: + + if setup: + self.chat_state.append({"role": "system", "content": prompt}) + else: + self._append_message({"role": "user", "content": prompt}) + + url = f"http://{self.ollama_addres}/api/chat" + payload = { + "model": "llama3.1:70b", + "stream": False, + "keep_alive":300, + "options": { + "seed": self.seed, + "temperature": 0.4, + "top_k": 20 + }, + "messages": self.chat_state + } + headers = {} + + # Try calling the API at most 5 times + count = 0 + fail = True + while fail == True and count < 5: + try: + res = requests.post(url, json=payload, headers=headers) + fail = False + except Exception as e: + print("OLLAMA REQUEST EXCEPTION: ", e) + fail == True + count += 1 + + if fail == False: + res_dict = json.loads(res.content.decode('utf-8')) + res_message = res_dict['message']['content'] + + self._append_message({"role": "assistant", "content": res_message}) + + return res_message + else: + return "" \ No newline at end of file diff --git a/src/babel_bardo/passt/passt.py b/src/babel_bardo/passt/passt.py new file mode 100644 index 0000000..b878649 --- /dev/null +++ b/src/babel_bardo/passt/passt.py @@ -0,0 +1,33 @@ +import pathlib + +import torch.nn as nn +import torch + +from hear21passt.base import get_basic_model, get_model_passt + + +class PaSSTMTG(nn.Module): + def __init__(self, n_classes=183, sigmoid=True): + super(PaSSTMTG, self).__init__() + + self.sigmoid = sigmoid + self.passt = get_basic_model(mode="logits") + self.passt.net = get_model_passt(arch="passt_s_swa_p16_128_ap476", n_classes=n_classes) + + def forward(self, x): + passt_logit = self.passt(x) + + if self.sigmoid: + return nn.Sigmoid()(passt_logit) + + return passt_logit + +def get_passt(n_classes=183, sigmoid=True): + passt = PaSSTMTG(n_classes, sigmoid) + + state_dict = pathlib.Path(__file__).parent.joinpath('passt_epoch_1_acc_0.975.pth').resolve() + state_dict = torch.load(state_dict) + + passt.load_state_dict(state_dict) + + return passt \ No newline at end of file diff --git a/src/babel_bardo/templates.py b/src/babel_bardo/templates.py new file mode 100644 index 0000000..0d896fb --- /dev/null +++ b/src/babel_bardo/templates.py @@ -0,0 +1,349 @@ +import os +from pathlib import Path +from abc import ABC, abstractmethod +import random + +from babel_bardo.ollama_api import PromptConfig, OllamaType +from babel_bardo.constants import SEED + +# Bardo and fit_audio_in_video will follow the following directory structure: +# |_original +# . |_videos +# . . |_VID-N.mp4 +# . |_audios +# . . |_vocals +# . . |_vocals_VID-N.wav +# . . |_soundtrack +# . . |_VID-N.wav +# bardoX +# |_logs +# . |_bardoX_VID-N.txt +# |_audios +# . |_generated +# . . |_bardoX_VID-N.wav +# |_videos +# . |_generated +# . . |_bardoX_VID-N.mp4 +# BardoTemplate will already contain variables pointing to this structure to avoid file path conflicts + +class BardoTemplate(ABC): + """ + Abstract class to define a template for the Bardo properties. + It uses abstract methods as properties to force the implementation + of those properties when creating a new Bardo based on this template. + """ + def __init__(self, rpg_name:str, root_path:str|Path, video_id:str, seed:int|None=SEED, language='en') -> None: + self.rpg_name = rpg_name + self.video_id = video_id + self.seed = seed + self.language = language + + # Start and end time cant be setted as functions becaus of randon_excerpt + self.start_time = 0 + self.end_time = None + + # PATHS + self.root_path = root_path + + # metrics paths + self.metrics_path = os.path.join(self.root_path, 'metrics') + self.kld_file = os.path.join(self.metrics_path, f"kld_{self.video_id}.json") + self.fad_file = os.path.join(self.metrics_path, f"fad_{self.video_id}.json") + + self.transitions_eval_path = os.path.join(self.root_path, 'transitions_eval') + self.transitions_eval_audios_path = os.path.join(self.transitions_eval_path, 'audios', self.bardo_name, self.video_id) + self.transitions_eval_metrics_path = os.path.join(self.transitions_eval_path, 'metrics') + self.transitions_kld_metrics_file = os.path.join(self.transitions_eval_metrics_path, f"t_kld_{self.video_id}.json") + + self.segments_transitions_eval_path = os.path.join(self.root_path, 'segments_transitions_eval') + self.segments_transitions_kld_metrics_file = os.path.join(self.segments_transitions_eval_path, f"s_t_kld_{self.video_id}.json") + + # original_path + self.original_path = os.path.join(self.root_path, 'original') + self.original_videos_path = os.path.join(self.original_path, 'videos') + self.original_audios_path = os.path.join(self.original_path, 'audios') + self.original_vocals_path = os.path.join(self.original_path, 'vocals') + + # bardo_path + self.bardo_path = os.path.join(root_path, self.bardo_name) + + self.log_path = os.path.join(self.bardo_path, 'logs') + + self.bardo_audios_path = os.path.join(self.bardo_path, 'audios') + self.generated_audios_path = os.path.join(self.bardo_audios_path, 'generated') + + self.bardo_videos_path = os.path.join(self.bardo_path, 'videos') + self.generated_videos_path = os.path.join(self.bardo_videos_path, 'generated') + + # Paths as functions to allow changes in the video_id + @property + def dirs_to_create(self) -> list[str]: + return [ + self.generated_audios_path, + self.original_audios_path, + self.original_vocals_path, + self.original_videos_path, + self.generated_videos_path, + self.log_path, + self.metrics_path, + self.transitions_eval_audios_path, + self.transitions_eval_metrics_path, + self.segments_transitions_eval_path, + ] + + @property + def eps_start_file(self) -> str: + return os.path.join(self.root_path, 'eps_start.json') + + @property + def log_file(self) -> str: + return os.path.join(self.log_path, f"{self.bardo_name}_{self.video_id}.txt") + + @property + def original_vocals_file(self) -> str: + return os.path.join(self.original_vocals_path, f"vocals_{self.video_id}.wav") + + @property + def original_audio_file(self) -> str: + return os.path.join(self.original_audios_path, f"{self.video_id}.wav") + + @property + def generated_audio_file(self) -> str: + return os.path.join(self.generated_audios_path, f"{self.bardo_name}_{self.video_id}.wav") + + @property + def generated_audio_file_no_ext(self) -> str: + return os.path.join(self.generated_audios_path, f"{self.bardo_name}_{self.video_id}") + + @property + def original_video_file_name(self) -> str: + return f"{self.video_id}.mp4" + + @property + def original_video_file(self) -> str: + return os.path.join(self.original_videos_path, f"{self.video_id}.mp4") + + @property + def generated_video_file(self) -> str: + return os.path.join(self.generated_videos_path, f"{self.bardo_name}_{self.video_id}.mp4") + + @property + @abstractmethod + def ollama_type(self) -> OllamaType: + pass + + @property + def common_setup(self) -> str: + return f"You are going to receive a series of Role-playing Game (RPG) video transcript excerpts from players dialogs playing a campaing called {self.rpg_name}. " + + @property + @abstractmethod + def prompt_config(self) -> PromptConfig: + pass + + @property + @abstractmethod + def log_header(self) -> str: + pass + + @property + @abstractmethod + def bardo_name(self) -> str: + pass + + def set_random_excerpt(self, excerpt_length:int, video_length:int, ep_start:int|None) -> int: + """ + Sets random start_time and defines end_time based on excerpt_length (in seconds). + """ + if excerpt_length > video_length: + #Keep the default start at 0 and end at None + return 0 + + if ep_start == None: + range_end = video_length - excerpt_length + ep_start = random.randint(0, range_end) + + self.start_time = ep_start + self.end_time = self.start_time + excerpt_length + + return ep_start + +class Bardo0(BardoTemplate): + def __init__(self, rpg_name:str, root_path:str|Path, video_id:str, seed:int=SEED, language='en') -> None: + super().__init__(rpg_name, root_path, video_id, seed, language) + + @property + def ollama_type(self) -> OllamaType: + return OllamaType.CHAT + + @property + def prompt_config(self) -> PromptConfig: + start = "Background music for a Role-playing Game (RPG) dialog, with the following emotion: " + task_setup = "You will classify each dialog into one of the following emotions: Happy, Calm, Agitated, or Suspenseful. Your answer will be just one word, that is, one of those emotions." + prompt_setup = self.common_setup + task_setup + + return PromptConfig(start=start, setup=prompt_setup) + + @property + def log_header(self) -> str: + return f""" + ################################################################################################ + # Bardo 0 + # This version imitates the behaviour of the original Bardo + # Conditioning MusicGen in one of the following emotions: Happy, Calm, Agitated, and Suspenseful + # + # Video: {self.video_id} + # From {self.start_time} to {self.end_time} + ################################################################################################ + """ + + @property + def bardo_name(self) -> str: + return "bardo_0" + +class Bardo1Test(BardoTemplate): + def __init__(self, rpg_name:str, root_path:str|Path, video_id:str, translate:bool, seed:int=SEED, language='en') -> None: + super().__init__(rpg_name, root_path, video_id, seed, language) + self.translate = translate + self.start_time = 0 + self.end_time = 60 + + @property + def ollama_type(self) -> OllamaType: + if self.translate: + return OllamaType.CHAT + + return OllamaType.NONE + + @property + def prompt_config(self) -> PromptConfig: + start="Background music for the following Role-playing Game (RPG) dialog: " + + if self.translate: + task_setup = "For each transcript excerpt you will translate the dialog to english. Your answer will only contain the translation." + prompt_setup = self.common_setup + task_setup + + return PromptConfig(start=start, setup=prompt_setup) + + return PromptConfig(start=start) + + @property + def log_header(self) -> str: + return f""" + ################################################################################################ + # BARDO 1 TEST + # This version inputs the dialogs directly into MusicGen + # + # Video: {self.video_id} + # From {self.start_time} to {self.end_time} + ################################################################################################ + """ + + @property + def bardo_name(self) -> str: + return "bardo_1_test" + +class Bardo1(BardoTemplate): + def __init__(self, rpg_name:str, root_path:str|Path, video_id:str, translate:bool, seed:int=SEED, language='en') -> None: + super().__init__(rpg_name, root_path, video_id, seed, language) + self.translate = translate + + @property + def ollama_type(self) -> OllamaType: + if self.translate: + return OllamaType.CHAT + + return OllamaType.NONE + + @property + def prompt_config(self) -> PromptConfig: + start="Background music for the following Role-playing Game (RPG) dialog: " + + if self.translate: + task_setup = "For each transcript excerpt you will translate the dialog to english. Your answer will only contain the translation." + prompt_setup = self.common_setup + task_setup + + return PromptConfig(start=start, setup=prompt_setup) + + return PromptConfig(start=start) + + @property + def log_header(self) -> str: + return f""" + ################################################################################################ + # BARDO 1 + # This version inputs the dialogs directly into MusicGen + # + # Video: {self.video_id} + # From {self.start_time} to {self.end_time} + ################################################################################################ + """ + + @property + def bardo_name(self) -> str: + return "bardo_1" + +class Bardo2(BardoTemplate): + def __init__(self, rpg_name:str, root_path:str|Path, video_id:str, seed:int=SEED, language='en') -> None: + super().__init__(rpg_name, root_path, video_id, seed, language) + + @property + def ollama_type(self) -> OllamaType: + return OllamaType.CHAT + + @property + def prompt_config(self) -> PromptConfig: + task_setup = "For each transcript excerpt you will, in english, describe a piece of background music that matches that excerpt. Your answer will be fed to a text to music model and should only contain a music description. The description should be concise. Do not mention any dialog excerpt details. Here is a prompt that worked well with the music model: A grand orchestral arrangement with thunderous percussion, epic brass fanfares, and soaring strings, creating a cinematic atmosphere fit for a heroic battle." + prompt_setup = self.common_setup + task_setup + + return PromptConfig(setup=prompt_setup) + + @property + def log_header(self) -> str: + return f""" + ################################################################################################ + # Bardo 2 + # This version setups Ollama to describe songs for MusicGen given the dialogs + # + # Video: {self.video_id} + # From {self.start_time} to {self.end_time} + ################################################################################################ + """ + + @property + def bardo_name(self) -> str: + return "bardo_2" + +class Bardo3(BardoTemplate): + def __init__(self, rpg_name:str, root_path:str|Path, video_id:str, seed:int=SEED, language='en') -> None: + super().__init__(rpg_name, root_path, video_id, seed, language) + + @property + def ollama_type(self) -> OllamaType: + return OllamaType.CHAT + + @property + def prompt_config(self) -> PromptConfig: + task_setup = "Your task is to determine whether each excerpt is from the same campaign chapter as the previous one, and based on this determination, either return the word 'CONTINUE.' or generate a music description in english. If no previous transcript has been provided, consider that the current excerpt is the beginning of a new chapter. For each transcript excerpt you will describe a piece of background music that matches that excerpt. If the excerpt is part of the same story chapter as the previous excerpt, the given answer should only contain the word 'CONTINUE.' Your description will be fed to a text to music model. The description should be concise. Do not mention anything about the dialog excerpt. Here is a prompt that worked well with the music model: A grand orchestral arrangement with thunderous percussion, epic brass fanfares, and soaring strings, creating a cinematic atmosphere fit for a heroic battle." + prompt_setup = self.common_setup + task_setup + + return PromptConfig(setup=prompt_setup) + + @property + def log_header(self) -> str: + return f""" + ################################################################################################ + # BARDO 3 + # This version also setups Ollama to describe songs for MusicGen given the dialogs, but only if + # needed. If the model finds that MusicGen can just continue from the previously generated + # audio tokens, without a text description, than that is what we're going to do. By doing so, + # we expect to avoid transition problems. + # + # Video: {self.video_id} + # From {self.start_time} to {self.end_time} + ################################################################################################ + """ + + @property + def bardo_name(self) -> str: + return "bardo_3" diff --git a/src/babel_bardo/transcript_iter.py b/src/babel_bardo/transcript_iter.py new file mode 100644 index 0000000..32ac390 --- /dev/null +++ b/src/babel_bardo/transcript_iter.py @@ -0,0 +1,137 @@ +from typing import Tuple, List +import math +import json +import os +import shutil + +from .constants import TRANSCRIPTS_CACHE + +from youtube_transcript_api import YouTubeTranscriptApi as ytta + +class TranscriptIter(): + + def __init__(self, video_id:str, language:str='en', tgt_duration:int=30, join:bool=True, start_time:int=0, end_time:int|None=None) -> None: + """An iterator that goes over the video transcription returning the frases + that fit in the interval specified by the tgt_duration parameter + e.g., if tgt_duration = 30, the first iteration will return frases between 0 and 30s. + The second iteration will return frases between 30 and 60s, and so on. + + Parameters: + video_id (str): YouTube video ID in the form tZWU5iPjQpI. + tgt_duration (int): Target duration in seconds. + join (bool): If false return a list of frases, returns a single string otherwise. + start (int): From which second the iterator should start + end (int or none): Until which second the iterator should go. If none it will go until the end. + + Yields: + frases (Tuple[str, float]): A tuple containing a the frases and the duration from the start of the first frase to the end of the last one. + """ + self.video_id = video_id + self.language = language + self.tgt_duration = tgt_duration + self.join = join + self.start_time = start_time + self.end_time = end_time + + self.iter_len = -1 # init as an invalid value, gets setted at __iter__ + + def _get_num_of_iters(self) -> int: + "Calculates the number of iterations according to the transcription and the tgt_duration" + + if self.end_time == None: + last_frase = self.transcription[-1] + last_frase_end = last_frase['start'] + last_frase['duration'] + else: + last_frase_end = self.end_time + + first_frase_start = self.transcription[self.frase_pointer]['start'] + return math.ceil((last_frase_end - first_frase_start) / self.tgt_duration) + + def __len__(self): + return self.iter_len + + def _load_transcript(self) -> None: + "Gets transcript from cache if it exists, else pulls it from the YouTube API. Transcription is stored in self.transcription" + + if not os.path.isdir(TRANSCRIPTS_CACHE): + os.makedirs(TRANSCRIPTS_CACHE) + + cached_transcripts = os.listdir(TRANSCRIPTS_CACHE) + transcript_file = self.video_id + ".json" + transcript_file_path = TRANSCRIPTS_CACHE.joinpath(transcript_file) + + if(transcript_file in cached_transcripts): + with open(transcript_file_path, 'r') as json_file: + self.transcription = json.load(json_file) + print("Using cached transcript located at", transcript_file_path) + else: + self.transcription = ytta.get_transcript(self.video_id, languages=[self.language]) + with open(transcript_file_path, "w") as json_file: + json.dump(self.transcription, json_file) + + def _jump_to_start(self): + first_frase = self.transcription[self.frase_pointer] + current_start = first_frase['start'] + + while current_start < self.start_time: + self.frase_pointer += 1 + current_frase = self.transcription[self.frase_pointer] + current_start = current_frase['start'] + + @staticmethod + def clear_transcript_cache() -> None: + print("Cleared transcript cache") + shutil.rmtree(TRANSCRIPTS_CACHE) + + def __iter__(self) -> Tuple[List[str], float]: + self._load_transcript() + + self.frase_pointer = 0 # Pointer to the next transcription frase + self._jump_to_start() + + current_start = self.transcription[self.frase_pointer]['start'] + self.current_tgt = current_start + self.tgt_duration # gets added by tgt_duration for each next() + + self.iter_len = self._get_num_of_iters() + + return self + + def __next__(self): + if self.frase_pointer == len(self.transcription): + raise StopIteration + + frases = [] + actual_duration = 0 + first_frase = self.transcription[self.frase_pointer] + next_end = -1 + + # while start + duration fits in the current_tgt interval + while next_end <= self.current_tgt: + + frase = self.transcription[self.frase_pointer] + text, start, duration = frase.values() + current_end = start + duration + + if self.end_time != None and current_end > self.end_time: + self.frase_pointer = len(self.transcription) + break + + frases.append(text) + self.frase_pointer += 1 + actual_duration = current_end - first_frase['start'] + + if self.frase_pointer == len(self.transcription): + break + + next_frase = self.transcription[self.frase_pointer] + next_end = next_frase['start'] + next_frase['duration'] + + self.current_tgt += self.tgt_duration + + if len(frases) == 0: + raise StopIteration + + if self.join: + return ' '.join(frases), actual_duration + else: + return frases, actual_duration \ No newline at end of file diff --git a/src/babel_bardo/video_manager.py b/src/babel_bardo/video_manager.py new file mode 100644 index 0000000..7f0f55f --- /dev/null +++ b/src/babel_bardo/video_manager.py @@ -0,0 +1,134 @@ +import os +import shutil +import pathlib + +from slugify import slugify +import ffmpeg + +from pytubefix import YouTube, Playlist +from pytubefix.cli import on_progress + +from moviepy.editor import VideoFileClip, AudioFileClip, CompositeAudioClip, VideoClip, AudioClip +from moviepy.audio.fx.volumex import volumex +import demucs.separate + +from babel_bardo.templates import BardoTemplate + +def fit_audio_in_video(template:BardoTemplate, volumex_value:float=0.4): + if os.path.isfile(template.generated_video_file): + print("Skipping fit_audio_in_video", template.generated_video_file) + return + + URL = f"https://www.youtube.com/watch?v={template.video_id}" + + # Download video + if not os.path.isfile(template.original_video_file): + yt = YouTube(URL, on_progress_callback = on_progress) + ys = yt.streams.get_highest_resolution() + ys.download(template.original_videos_path, filename=template.original_video_file_name) + else: + print("Skipping download video", URL) + + # Load the video clip and get its audios + video_clip = VideoFileClip(template.original_video_file) + video_clip:VideoClip = video_clip.subclip(template.start_time, template.end_time) + + audio_clip:AudioClip = video_clip.audio + + temp_original_audio_file = 'temp_original_audio' + demucs_path = os.path.join(template.original_vocals_path, 'htdemucs') + demucs_vocals = os.path.join(demucs_path, temp_original_audio_file, 'vocals.wav') + demucs_no_vocals = os.path.join(demucs_path, temp_original_audio_file, 'no_vocals.wav') + + if not os.path.isfile(template.original_vocals_file): + # Write the audio to vocals path to get it separated by demucs + temp_original_audio_file = os.path.join(template.original_vocals_path, temp_original_audio_file+'.wav') + audio_clip.write_audiofile(temp_original_audio_file) + + # Separete the vocals from the audio + demucs.separate.main(["--two-stems", "vocals", temp_original_audio_file, "--out", template.original_vocals_path]) + + # Move demucs out file to original_vocals_file + os.rename(demucs_vocals, template.original_vocals_file) + os.rename(demucs_no_vocals, template.original_audio_file) + + # Clear + os.remove(temp_original_audio_file) + shutil.rmtree(demucs_path) + else: + print("Skipping demucs", template.original_audio_file) + + # Load the vocals audio + vocals = AudioFileClip(template.original_vocals_file) + + try: + # Load the background music and ajust its volume + background_music = AudioFileClip(template.generated_audio_file) + background_music.fx(volumex, volumex_value) + + # Put background music and vocals together + combined_audio = CompositeAudioClip([background_music, vocals]) + + # Put the new combined audio into the video + final_video:VideoClip = video_clip.set_audio(combined_audio) + + final_video.write_videofile(template.generated_video_file) + + except Exception as e: + print(f"\n Retrying volume ajustment: {e}\n") + + background_music = AudioFileClip(template.generated_audio_file).volumex(volumex_value) + + combined_audio = CompositeAudioClip([background_music, vocals]) + + final_video:VideoClip = video_clip.set_audio(combined_audio) + + final_video.write_videofile(template.generated_video_file) + + finally: + print("\n Ignoring volume ajustment: \n") + + background_music = AudioFileClip(template.generated_audio_file) + combined_audio = CompositeAudioClip([background_music, vocals]) + final_video:VideoClip = video_clip.set_audio(combined_audio) + + final_video.write_videofile(template.generated_video_file) + + # Close videos + video_clip.close() + audio_clip.close() + combined_audio.close() + final_video.close() + +def get_audio_playlist_for_fad(download_path:pathlib.Path, playlist_link:str): + if isinstance(download_path, str): + download_path = pathlib.Path(download_path) + + if not os.path.isdir(download_path): + os.makedirs(download_path) + + playlist = Playlist(playlist_link) + + count = 0 + for video in playlist.videos: + audio = video.streams.get_audio_only() + + if audio == None: + continue + + audio.download(str(download_path)) + + audio_name = audio.default_filename.replace('/','') + out_name = slugify(audio_name.split('.')[0], separator='_')+'.wav' + + if out_name in os.listdir(download_path): + out_name = out_name[:-4] + f'_{count}' + out_name[-4:] + count += 1 + + print('AUDIO NAME:', audio_name, out_name) + + stream = ffmpeg.input(download_path.joinpath(audio_name)) + stream = ffmpeg.output(stream, str(download_path.joinpath(out_name)), ac=1) + ffmpeg.run(stream) + + os.remove(download_path.joinpath(audio_name)) \ No newline at end of file