app.py

# Gradio demo of StyleTTS 2 by @fakerybakery
import gradio as gr
import msinference
import ljinference
import torch
import os
from tortoise.utils.text import split_and_recombine_text
import numpy as np
import pickle
theme = gr.themes.Base(
    font=[gr.themes.GoogleFont('Libre Franklin'), gr.themes.GoogleFont('Public Sans'), 'system-ui', 'sans-serif'],
)
voicelist = ['f-us-1', 'f-us-2', 'f-us-3', 'f-us-4', 'm-us-1', 'm-us-2', 'm-us-3', 'm-us-4']
voices = {}
import phonemizer
global_phonemizer = phonemizer.backend.EspeakBackend(language='en-us', preserve_punctuation=True,  with_stress=True)
# todo: cache computed style, load using pickle
# if os.path.exists('voices.pkl'):
    # with open('voices.pkl', 'rb') as f:
        # voices = pickle.load(f)
# else:
for v in voicelist:
    voices[v] = msinference.compute_style(f'voices/{v}.wav')
def synthesize(text, voice, lngsteps, password, progress=gr.Progress()):
    if text.strip() == "":
        raise gr.Error("You must enter some text")
    if lngsteps > 25:
        raise gr.Error("Max 25 steps")
    if lngsteps < 5:
        raise gr.Error("Min 5 steps")
    texts = split_and_recombine_text(text)
    v = voice.lower()
    audios = []
    for t in progress.tqdm(texts):
        audios.append(msinference.inference(t, voices[v], alpha=0.3, beta=0.7, diffusion_steps=lngsteps, embedding_scale=1))
    return (24000, np.concatenate(audios))
def clsynthesize(text, voice, vcsteps):
    if text.strip() == "":
        raise gr.Error("You must enter some text")
    # if global_phonemizer.phonemize([text]) > 300:
    if len(text) > 400:
        raise gr.Error("Text must be under 400 characters")
    return (24000, msinference.inference(text, msinference.compute_style(voice), alpha=0.3, beta=0.7, diffusion_steps=vcsteps, embedding_scale=1))
def ljsynthesize(text):
    if text.strip() == "":
        raise gr.Error("You must enter some text")
    # if global_phonemizer.phonemize([text]) > 300:
    if len(text) > 400:
        raise gr.Error("Text must be under 400 characters")
    noise = torch.randn(1,1,256).to('cuda' if torch.cuda.is_available() else 'cpu')
    return (24000, ljinference.inference(text, noise, diffusion_steps=7, embedding_scale=1))


with gr.Blocks() as vctk: # just realized it isn't vctk but libritts but i'm too lazy to change it rn
    with gr.Row():
        with gr.Column(scale=1):
            inp = gr.Textbox(label="Text", info="What would you like StyleTTS 2 to read? It works better on full sentences.", interactive=True)
            voice = gr.Dropdown(voicelist, label="Voice", info="Select a default voice.", value='m-us-2', interactive=True)
            multispeakersteps = gr.Slider(minimum=5, maximum=15, value=7, step=1, label="Diffusion Steps", info="Higher = better quality, but slower", interactive=True)
            # use_gruut = gr.Checkbox(label="Use alternate phonemizer (Gruut) - Experimental")
        with gr.Column(scale=1):
            btn = gr.Button("Synthesize", variant="primary")
            audio = gr.Audio(interactive=False, label="Synthesized Audio")
            btn.click(synthesize, inputs=[inp, voice, multispeakersteps], outputs=[audio], concurrency_limit=4)
with gr.Blocks() as clone:
    with gr.Row():
        with gr.Column(scale=1):
            clinp = gr.Textbox(label="Text", info="What would you like StyleTTS 2 to read? It works better on full sentences.", interactive=True)
            clvoice = gr.Audio(label="Voice", interactive=True, type='filepath', max_length=300)
            vcsteps = gr.Slider(minimum=5, maximum=20, value=20, step=1, label="Diffusion Steps", info="Higher = better quality, but slower", interactive=True)
        with gr.Column(scale=1):
            clbtn = gr.Button("Synthesize", variant="primary")
            claudio = gr.Audio(interactive=False, label="Synthesized Audio")
            clbtn.click(clsynthesize, inputs=[clinp, clvoice, vcsteps], outputs=[claudio], concurrency_limit=4)
with gr.Blocks() as lj:
    with gr.Row():
        with gr.Column(scale=1):
            ljinp = gr.Textbox(label="Text", info="What would you like StyleTTS 2 to read? It works better on full sentences.", interactive=True)
        with gr.Column(scale=1):
            ljbtn = gr.Button("Synthesize", variant="primary")
            ljaudio = gr.Audio(interactive=False, label="Synthesized Audio")
            ljbtn.click(ljsynthesize, inputs=[ljinp], outputs=[ljaudio], concurrency_limit=4)
with gr.Blocks(title="StyleTTS 2", css="footer{display:none !important}", theme=theme) as demo:
    gr.Markdown("""# StyleTTS 2

[Paper](https://arxiv.org/abs/2306.07691) - [Samples](https://styletts2.github.io/) - [Code](https://github.com/yl4579/StyleTTS2)

GUI of StyleTTS 2 by [mrfakename](https://twitter.com/realmrfakename).

#### Help the StyleTTS 2 space get to the top of HF Trending! [Give it a Like!](https://huggingface.co/spaces/styletts2/styletts2)

**Before using this demo, you agree to inform the listeners that the speech samples are synthesized by the pre-trained models, unless you have the permission to use the voice you synthesize. That is, you agree to only use voices whose speakers grant the permission to have their voice cloned, either directly or by license before making synthesized voices public, or you have to publicly announce that these voices are synthesized if you do not have the permission to use these voices.**

**NOTE: StyleTTS 2 does better on longer texts.** For example, making it say "hi" will produce a lower-quality result than making it say a longer phrase.""")
    gr.TabbedInterface([vctk, clone, lj], ['Multi-Voice', 'Voice Cloning', 'LJSpeech'])
    gr.Markdown("""
Demo by [mrfakename](https://twitter.com/realmrfakename). I am not affiliated with the StyleTTS 2 authors.

This is the local version of the demo
""")
if __name__ == "__main__":
    demo.queue(api_open=False, max_size=15).launch(show_api=False)