From 4f3ec60326b140bc8bab3d94e3fd7bd7ead16b98 Mon Sep 17 00:00:00 2001 From: Rishav Aich Date: Thu, 22 Aug 2024 23:10:36 +0530 Subject: [PATCH 1/5] added the aws and gcp connectors --- .env-dev.template | 11 ++ .env.template | 12 ++ language/src/extension.py | 8 +- language/src/speech_processor.py | 243 +++++++++++++++++++++++++++---- language/src/translator.py | 56 +++++++ 5 files changed, 299 insertions(+), 31 deletions(-) diff --git a/.env-dev.template b/.env-dev.template index 0d5633cd..1bc661ae 100644 --- a/.env-dev.template +++ b/.env-dev.template @@ -38,6 +38,17 @@ PUBLIC_URL_PREFIX= # Set Tunnel URL if using local storage # AZURE_STORAGE_ACCOUNT_KEY= # AZURE_STORAGE_CONTAINER= +# Set AWS keys if using AWS instances +# AWS_ACCESS_KEY_ID= +# AWS_SECRET_ACCESS_KEY= +# AWS_DEFAULT_REGION= + +# Create the S3 bucket +# BUCKET_NAME= + +# Set GCP credentials (json) +# GOOGLE_APPLICATION_CREDENTIALS= + # Encryption key for storing credentials ENCRYPTION_KEY= diff --git a/.env.template b/.env.template index 40a1c9f7..834c9175 100644 --- a/.env.template +++ b/.env.template @@ -39,6 +39,18 @@ AZURE_STORAGE_ACCOUNT_URL= AZURE_STORAGE_ACCOUNT_KEY= AZURE_STORAGE_CONTAINER= +# Set AWS keys if using AWS instances +AWS_ACCESS_KEY_ID= +AWS_SECRET_ACCESS_KEY= +AWS_DEFAULT_REGION= + +# Create the S3 bucket +BUCKET_NAME= + + +# Set GCP credentials (json) +GOOGLE_APPLICATION_CREDENTIALS= + # Encryption key for storing credentials ENCRYPTION_KEY= diff --git a/language/src/extension.py b/language/src/extension.py index 1d40ee9e..c6277e1a 100644 --- a/language/src/extension.py +++ b/language/src/extension.py @@ -5,16 +5,18 @@ AzureSpeechProcessor, CompositeSpeechProcessor, DhruvaSpeechProcessor, + AWSSpeechProcessor, + GCPSpeechProcessor, ) -from .translator import AzureTranslator, CompositeTranslator, DhruvaTranslator +from .translator import AzureTranslator, CompositeTranslator, DhruvaTranslator, AWSTranslator, GCPTranslator # ---- Speech Processor ---- speech_processor = CompositeSpeechProcessor( - DhruvaSpeechProcessor(), AzureSpeechProcessor() + DhruvaSpeechProcessor(), AzureSpeechProcessor(), AWSSpeechProcessor(), GCPSpeechProcessor() ) # ---- Translator ---- -translator = CompositeTranslator(DhruvaTranslator(), AzureTranslator()) +translator = CompositeTranslator(DhruvaTranslator(), AzureTranslator(), AWSTranslator(), GCPTranslator()) # ---- Storage ---- storage = StorageHandler.get_async_instance() diff --git a/language/src/speech_processor.py b/language/src/speech_processor.py index 9c81efda..0c44c4f7 100644 --- a/language/src/speech_processor.py +++ b/language/src/speech_processor.py @@ -8,6 +8,13 @@ import azure.cognitiveservices.speech as speechsdk import httpx +import boto3 +from google.cloud import speech_v1p1beta1 as speech +from google.cloud import texttospeech +import requests +from botocore.exceptions import BotoCoreError, ClientError +import asyncio +import requests from lib.model import InternalServerException, LanguageCodes from .audio_converter import convert_wav_bytes_to_mp3_bytes @@ -391,27 +398,188 @@ async def text_to_speech( # ) return new_audio_content +class AWSSpeechProcessor(SpeechProcessor): + def __init__(self): + # Set AWS credentials using environment variables + os.environ['AWS_ACCESS_KEY_ID'] = os.getenv('AWS_ACCESS_KEY_ID') + os.environ['AWS_SECRET_ACCESS_KEY'] = os.getenv('AWS_SECRET_ACCESS_KEY') + os.environ['AWS_DEFAULT_REGION'] = os.getenv('AWS_DEFAULT_REGION') + + self.transcribe = boto3.client('transcribe') + self.s3 = boto3.client('s3') + self.polly = boto3.client('polly') + self.bucket_name = os.get_env('BUCKET_NAME') + + self.language_dict = { + "EN": "en-US", + "HI": "hi-IN", + "BN": "bn-IN", + "GU": "gu-IN", + "MR": "mr-IN", + } + + async def speech_to_text( + self, + wav_data: bytes, + input_language: LanguageCodes, + ) -> str: + logger.info("Performing speech to text using AWS Transcribe") + logger.info(f"Input Language: {input_language.name}") + + try: + # Upload the audio data to S3 + file_name = f"temp_audio_{input_language.name}.wav" + self.s3.put_object(Bucket=self.bucket_name, Key=file_name, Body=wav_data) + + # Generate the S3 URI + job_uri = f's3://{self.bucket_name}/{file_name}' + + # Start transcription job + job_name = f"transcription_job_{input_language.name}" + self.transcribe.start_transcription_job( + TranscriptionJobName=job_name, + Media={'MediaFileUri': job_uri}, + MediaFormat='wav', + LanguageCode=self.language_dict.get(input_language.name, 'en-US') + ) + + # Wait for the job to complete + while True: + status = self.transcribe.get_transcription_job(TranscriptionJobName=job_name) + if status['TranscriptionJob']['TranscriptionJobStatus'] in ['COMPLETED', 'FAILED']: + break + await asyncio.sleep(5) # Wait for 5 seconds before checking again + + if status['TranscriptionJob']['TranscriptionJobStatus'] == 'COMPLETED': + file_url = status['TranscriptionJob']['Transcript']['TranscriptFileUri'] + response = requests.get(file_url) + data = response.json() + transcript = data['results']['transcripts'][0]['transcript'] + + # Clean up: delete the temporary audio file from S3 + self.s3.delete_object(Bucket=self.bucket_name, Key=file_name) + + return transcript + else: + raise Exception("Transcription job failed") + + except (BotoCoreError, ClientError) as error: + error_message = f"AWS STT Request failed with this error: {error}" + logger.error(error_message) + raise InternalServerException(error_message) + + async def text_to_speech( + self, + text: str, + input_language: LanguageCodes, + ) -> bytes: + logger.info("Performing text to speech using AWS Polly") + logger.info(f"Input Language: {input_language.name}") + logger.info(f"Input Text: {text}") + + try: + response = self.polly.synthesize_speech( + Text=text, + OutputFormat='mp3', + VoiceId='Joanna', # You might want to choose appropriate voices for different languages + LanguageCode=self.language_dict.get(input_language.name, 'en-US') + ) + + return response['AudioStream'].read() + + except (BotoCoreError, ClientError) as error: + error_message = f"AWS TTS Request failed with this error: {error}" + logger.error(error_message) + raise InternalServerException(error_message) + + +class GCPSpeechProcessor(SpeechProcessor): + def __init__(self): + os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = os.getenv("GOOGLE_APPLICATION_CREDENTIALS") + self.speech_client = speech.SpeechClient() + self.tts_client = texttospeech.TextToSpeechClient() + self.language_dict = { + "EN": "en-US", + "HI": "hi-IN", + "BN": "bn-IN", + "GU": "gu-IN", + "MR": "mr-IN", + "OR": "or-IN", + "PA": "pa-IN", + "KN": "kn-IN", + "ML": "ml-IN", + "TA": "ta-IN", + "TE": "te-IN", + } + + async def speech_to_text( + self, + wav_data: bytes, + input_language: LanguageCodes, + ) -> str: + logger.info("Performing speech to text using Google Cloud Platform") + logger.info(f"Input Language: {input_language.name}") + + audio = speech.RecognitionAudio(content=wav_data) + config = speech.RecognitionConfig( + encoding=speech.RecognitionConfig.AudioEncoding.LINEAR16, + language_code=self.language_dict.get(input_language.name, "en-US"), + ) + + try: + response = self.speech_client.recognize(config=config, audio=audio) + transcribed_text = response.results[0].alternatives[0].transcript + return_message = "GCP speech to text is successful" + logger.info(return_message) + logger.info(f"Transcribed text: {transcribed_text}") + return transcribed_text + except Exception as exception: + error_message = f"GCP STT Request failed with this error: {exception}" + logger.error(error_message) + raise InternalServerException(error_message) + + async def text_to_speech( + self, + text: str, + input_language: LanguageCodes, + ) -> bytes: + logger.info("Performing text to speech using Google Cloud Platform") + logger.info(f"Input Language: {input_language.name}") + logger.info(f"Input Text: {text}") + + synthesis_input = texttospeech.SynthesisInput(text=text) + + voice = texttospeech.VoiceSelectionParams( + language_code=self.language_dict.get(input_language.name, "en-US"), + ssml_gender=texttospeech.SsmlVoiceGender.FEMALE, + ) + + audio_config = texttospeech.AudioConfig( + audio_encoding=texttospeech.AudioEncoding.MP3 + ) + + try: + response = self.tts_client.synthesize_speech( + input=synthesis_input, voice=voice, audio_config=audio_config + ) + return_message = "GCP text to speech is successful" + logger.info(return_message) + return response.audio_content + except Exception as exception: + error_message = f"GCP TTS Request failed with this error: {exception}" + logger.error(error_message) + raise InternalServerException(error_message) + class CompositeSpeechProcessor(SpeechProcessor): def __init__(self, *speech_processors: SpeechProcessor): self.speech_processors = speech_processors self.european_language_codes = [ - "EN", - "AF", - "AR", - "ZH", - "FR", - "DE", - "ID", - "IT", - "JA", - "KO", - "PT", - "RU", - "ES", - "TR", + "EN", "AF", "AR", "ZH", "FR", "DE", "ID", "IT", "JA", "KO", "PT", "RU", "ES", "TR" ] self.azure_not_supported_language_codes = ["OR", "PA"] + self.gcp_not_supported_language_codes = [] # Add any unsupported languages for GCP + self.aws_not_supported_language_codes = [] # Add any unsupported languages for AWS async def speech_to_text( self, @@ -420,21 +588,30 @@ async def speech_to_text( ) -> str: excs = [] for speech_processor in self.speech_processors: - # try: if input_language.name in self.european_language_codes and isinstance( speech_processor, DhruvaSpeechProcessor ): - pass + continue elif ( input_language.name in self.azure_not_supported_language_codes and isinstance(speech_processor, AzureSpeechProcessor) ): - pass + continue + elif ( + input_language.name in self.gcp_not_supported_language_codes + and isinstance(speech_processor, GCPSpeechProcessor) + ): + continue + elif ( + input_language.name in self.aws_not_supported_language_codes + and isinstance(speech_processor, AWSSpeechProcessor) + ): + continue else: - return await speech_processor.speech_to_text(wav_data, input_language) - # except Exception as exc: - # print("EXCEPTION", exc) - # excs.append(exc) + try: + return await speech_processor.speech_to_text(wav_data, input_language) + except Exception as exc: + excs.append(exc) raise ExceptionGroup("CompositeSpeechProcessor speech to text failed", excs) @@ -445,19 +622,29 @@ async def text_to_speech( ) -> bytes: excs = [] for speech_processor in self.speech_processors: - # try: if input_language.name in self.european_language_codes and isinstance( speech_processor, DhruvaSpeechProcessor ): - pass + continue elif ( input_language.name in self.azure_not_supported_language_codes and isinstance(speech_processor, AzureSpeechProcessor) ): - pass + continue + elif ( + input_language.name in self.gcp_not_supported_language_codes + and isinstance(speech_processor, GCPSpeechProcessor) + ): + continue + elif ( + input_language.name in self.aws_not_supported_language_codes + and isinstance(speech_processor, AWSSpeechProcessor) + ): + continue else: - return await speech_processor.text_to_speech(text, input_language) - # except Exception as exc: - # excs.append(exc) + try: + return await speech_processor.text_to_speech(text, input_language) + except Exception as exc: + excs.append(exc) - # raise ExceptionGroup("CompositeSpeechProcessor text to speech failed", excs) + raise ExceptionGroup("CompositeSpeechProcessor text to speech failed", excs) \ No newline at end of file diff --git a/language/src/translator.py b/language/src/translator.py index 1db2b108..8689ecde 100644 --- a/language/src/translator.py +++ b/language/src/translator.py @@ -3,9 +3,12 @@ import os import uuid from abc import ABC, abstractmethod +from builtins import ExceptionGroup import aiohttp import httpx +import boto3 +from google.cloud import translate_v2 as translate from lib.model import InternalServerException, LanguageCodes @@ -291,6 +294,59 @@ async def transliterate_text( print(response) return response[0]["text"] +class AWSTranslator(Translator): + def __init__(self): + self.translate = boto3.client( + 'translate', + aws_access_key_id=os.getenv("AWS_ACCESS_KEY_ID"), + aws_secret_access_key=os.getenv("AWS_SECRET_ACCESS_KEY"), + region_name=os.getenv("AWS_DEFAULT_REGION") + ) + + async def translate_text( + self, + text: str, + source_language: LanguageCodes, + destination_language: LanguageCodes, + ) -> str: + source_language_code = source_language.name.lower() + destination_language_code = destination_language.name.lower() + + logger.info("Performing translation using AWS") + logger.info(f"Input Language: {source_language_code}") + logger.info(f"Output Language: {destination_language_code}") + + response = self.translate.translate_text( + Text=text, + SourceLanguageCode=source_language_code, + TargetLanguageCode=destination_language_code, + ) + return response['TranslatedText'] + +class GCPTranslator(Translator): + def __init__(self): + os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = os.getenv("GOOGLE_APPLICATION_CREDENTIALS") + self.client = translate.Client() + + async def translate_text( + self, + text: str, + source_language: LanguageCodes, + destination_language: LanguageCodes, + ) -> str: + source_language_code = source_language.name.lower() + destination_language_code = destination_language.name.lower() + + logger.info("Performing translation using GCP") + logger.info(f"Input Language: {source_language_code}") + logger.info(f"Output Language: {destination_language_code}") + + response = self.client.translate( + text, + source_language=source_language_code, + target_language=destination_language_code, + ) + return response['translatedText'] class CompositeTranslator(Translator): def __init__(self, *translators: Translator): From 9b6211f885d938a5ac52dc386e68ebe62eb30276 Mon Sep 17 00:00:00 2001 From: Rishav Aich Date: Mon, 26 Aug 2024 19:24:03 +0530 Subject: [PATCH 2/5] added the GCP and AWS env variables in language services of docker-compose.yml and added the required packages in pyproject.toml --- docker-compose.yml | 7 ++++++- language/pyproject.toml | 4 ++++ 2 files changed, 10 insertions(+), 1 deletion(-) diff --git a/docker-compose.yml b/docker-compose.yml index b4ca8ac5..9afee20a 100644 --- a/docker-compose.yml +++ b/docker-compose.yml @@ -34,7 +34,7 @@ services: volumes: - "kafka_data:/bitnami" - ./scripts/create-all-topics.sh:/usr/bin/create-topics.sh - command: "sh -c './run.sh & /usr/bin/create-topics.sh && tail -f /dev/null'" + command: "sh -c './run.sh && tail -f /dev/null'" environment: - KAFKA_CFG_NODE_ID=0 - KAFKA_CFG_PROCESS_ROLES=controller,broker @@ -78,6 +78,11 @@ services: - AZURE_STORAGE_ACCOUNT_KEY=${AZURE_STORAGE_ACCOUNT_KEY} - AZURE_STORAGE_CONTAINER=${AZURE_STORAGE_CONTAINER} - PUBLIC_URL_PREFIX=${PUBLIC_URL_PREFIX} + - AWS_ACCESS_KEY_ID=${AWS_ACCESS_KEY_ID} + - AWS_SECRET_ACCESS_KEY=${AWS_SECRET_ACCESS_KEY} + - AWS_DEFAULT_REGION=${AWS_DEFAULT_REGION} + - BUCKET_NAME=${BUCKET_NAME} + - GOOGLE_APPLICATION_CREDENTIALS=${GOOGLE_APPLICATION_CREDENTIALS} depends_on: - kafka - postgres diff --git a/language/pyproject.toml b/language/pyproject.toml index e5674aa9..a0e8c70f 100644 --- a/language/pyproject.toml +++ b/language/pyproject.toml @@ -15,6 +15,10 @@ azure-cognitiveservices-speech = "^1.38.0" httpx = "^0.27.0" aiohttp = "^3.10.0" pydub = "^0.25.1" +boto3 = "^1.35.3" +google-cloud-speech = "^2.27.0" +google-cloud-texttospeech = "^2.17.1" +google-cloud-translate = "^3.16.0" [tool.poetry.group.dev.dependencies] lib = {path = "../jb-lib", develop = true} From 1209f33aa3373eb959ed6272a61b59dbfae4dc21 Mon Sep 17 00:00:00 2001 From: Rishav Aich Date: Wed, 28 Aug 2024 23:23:05 +0530 Subject: [PATCH 3/5] added more indian languages for AWS and GCP, updated the poetry.lock, reverted the changes in docker-compose --- .env-dev.template | 2 +- .env.template | 3 +- docker-compose.yml | 4 +- language/poetry.lock | 849 +++++++++++++++++++++++-------- language/src/speech_processor.py | 14 +- 5 files changed, 653 insertions(+), 219 deletions(-) diff --git a/.env-dev.template b/.env-dev.template index 1bc661ae..8e9f5b44 100644 --- a/.env-dev.template +++ b/.env-dev.template @@ -44,7 +44,7 @@ PUBLIC_URL_PREFIX= # Set Tunnel URL if using local storage # AWS_DEFAULT_REGION= # Create the S3 bucket -# BUCKET_NAME= +# S3_BUCKET_NAME= # Set GCP credentials (json) # GOOGLE_APPLICATION_CREDENTIALS= diff --git a/.env.template b/.env.template index 834c9175..8367dc2e 100644 --- a/.env.template +++ b/.env.template @@ -45,8 +45,7 @@ AWS_SECRET_ACCESS_KEY= AWS_DEFAULT_REGION= # Create the S3 bucket -BUCKET_NAME= - +S3_BUCKET_NAME= # Set GCP credentials (json) GOOGLE_APPLICATION_CREDENTIALS= diff --git a/docker-compose.yml b/docker-compose.yml index 9afee20a..9c2fdd02 100644 --- a/docker-compose.yml +++ b/docker-compose.yml @@ -34,7 +34,7 @@ services: volumes: - "kafka_data:/bitnami" - ./scripts/create-all-topics.sh:/usr/bin/create-topics.sh - command: "sh -c './run.sh && tail -f /dev/null'" + command: "sh -c './run.sh & /usr/bin/create-topics.sh && tail -f /dev/null'" environment: - KAFKA_CFG_NODE_ID=0 - KAFKA_CFG_PROCESS_ROLES=controller,broker @@ -81,7 +81,7 @@ services: - AWS_ACCESS_KEY_ID=${AWS_ACCESS_KEY_ID} - AWS_SECRET_ACCESS_KEY=${AWS_SECRET_ACCESS_KEY} - AWS_DEFAULT_REGION=${AWS_DEFAULT_REGION} - - BUCKET_NAME=${BUCKET_NAME} + - S3_BUCKET_NAME=${S3_BUCKET_NAME} - GOOGLE_APPLICATION_CREDENTIALS=${GOOGLE_APPLICATION_CREDENTIALS} depends_on: - kafka diff --git a/language/poetry.lock b/language/poetry.lock index bb82366c..5dc955e2 100644 --- a/language/poetry.lock +++ b/language/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. 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a/language/src/speech_processor.py b/language/src/speech_processor.py index 0c44c4f7..90f839fd 100644 --- a/language/src/speech_processor.py +++ b/language/src/speech_processor.py @@ -408,7 +408,7 @@ def __init__(self): self.transcribe = boto3.client('transcribe') self.s3 = boto3.client('s3') self.polly = boto3.client('polly') - self.bucket_name = os.get_env('BUCKET_NAME') + self.bucket_name = os.get_env('S3_BUCKET_NAME') self.language_dict = { "EN": "en-US", @@ -416,6 +416,14 @@ def __init__(self): "BN": "bn-IN", "GU": "gu-IN", "MR": "mr-IN", + "KN": "kn-IN", + "LU": "lg-IN", + "EN-IN": "en-IN", + "MA": "ml-IN", + "OD": "or-IN", + "PA": "pa-IN", + "TA": "ta-IN", + "TE": "te-IN", } async def speech_to_text( @@ -505,11 +513,13 @@ def __init__(self): "GU": "gu-IN", "MR": "mr-IN", "OR": "or-IN", - "PA": "pa-IN", + "PA": "pa-Guru-IN", "KN": "kn-IN", "ML": "ml-IN", "TA": "ta-IN", "TE": "te-IN", + "UR": "ur-IN", + "EN-IN": "en-IN", } async def speech_to_text( From 8bc8984af95e6c8134a4cb59e453872dc2c121e7 Mon Sep 17 00:00:00 2001 From: Rishav Aich Date: Thu, 5 Sep 2024 13:28:50 +0530 Subject: [PATCH 4/5] shifted the aws credentials to key section in .env.template --- .env-dev.template | 14 +++++++------- .env.template | 10 +++++----- 2 files changed, 12 insertions(+), 12 deletions(-) diff --git a/.env-dev.template b/.env-dev.template index 8e9f5b44..64fd662a 100644 --- a/.env-dev.template +++ b/.env-dev.template @@ -26,6 +26,11 @@ AZURE_SPEECH_REGION= AZURE_TRANSLATION_KEY= AZURE_TRANSLATION_RESOURCE_LOCATION= +# AWS Speech/Translation Keys +AWS_ACCESS_KEY_ID= +AWS_SECRET_ACCESS_KEY= +AWS_DEFAULT_REGION= + # Storage # ------- # Storage Configuation (Default is local) @@ -38,16 +43,11 @@ PUBLIC_URL_PREFIX= # Set Tunnel URL if using local storage # AZURE_STORAGE_ACCOUNT_KEY= # AZURE_STORAGE_CONTAINER= -# Set AWS keys if using AWS instances -# AWS_ACCESS_KEY_ID= -# AWS_SECRET_ACCESS_KEY= -# AWS_DEFAULT_REGION= - # Create the S3 bucket -# S3_BUCKET_NAME= +S3_BUCKET_NAME= # Set GCP credentials (json) -# GOOGLE_APPLICATION_CREDENTIALS= +GOOGLE_APPLICATION_CREDENTIALS= # Encryption key for storing credentials ENCRYPTION_KEY= diff --git a/.env.template b/.env.template index 8367dc2e..bf3756fd 100644 --- a/.env.template +++ b/.env.template @@ -31,6 +31,11 @@ AZURE_SPEECH_REGION= AZURE_TRANSLATION_KEY= AZURE_TRANSLATION_RESOURCE_LOCATION= +# AWS Speech/Translation Keys +AWS_ACCESS_KEY_ID= +AWS_SECRET_ACCESS_KEY= +AWS_DEFAULT_REGION= + # Storage # ------- # Set Azure storage keys if using Azure Blob Storage @@ -39,11 +44,6 @@ AZURE_STORAGE_ACCOUNT_URL= AZURE_STORAGE_ACCOUNT_KEY= AZURE_STORAGE_CONTAINER= -# Set AWS keys if using AWS instances -AWS_ACCESS_KEY_ID= -AWS_SECRET_ACCESS_KEY= -AWS_DEFAULT_REGION= - # Create the S3 bucket S3_BUCKET_NAME= From 9e15e646cfc6960d412dec4eba76ffd74a1ca31c Mon Sep 17 00:00:00 2001 From: Rishav Aich Date: Sun, 15 Sep 2024 03:22:45 +0530 Subject: [PATCH 5/5] made the cosmetic changes and mounted the gcp credentials during runtime --- .env-dev.template | 6 +++--- .env.template | 6 +++--- docker-compose.yml | 11 ++++++----- language/src/speech_processor.py | 5 +++-- language/src/translator.py | 5 ++++- 5 files changed, 19 insertions(+), 14 deletions(-) diff --git a/.env-dev.template b/.env-dev.template index 64fd662a..26d3f1b1 100644 --- a/.env-dev.template +++ b/.env-dev.template @@ -31,6 +31,9 @@ AWS_ACCESS_KEY_ID= AWS_SECRET_ACCESS_KEY= AWS_DEFAULT_REGION= +# Set S3 Bucket name when using AWS speech services +S3_BUCKET_NAME= + # Storage # ------- # Storage Configuation (Default is local) @@ -43,9 +46,6 @@ PUBLIC_URL_PREFIX= # Set Tunnel URL if using local storage # AZURE_STORAGE_ACCOUNT_KEY= # AZURE_STORAGE_CONTAINER= -# Create the S3 bucket -S3_BUCKET_NAME= - # Set GCP credentials (json) GOOGLE_APPLICATION_CREDENTIALS= diff --git a/.env.template b/.env.template index bf3756fd..0f977ec8 100644 --- a/.env.template +++ b/.env.template @@ -36,6 +36,9 @@ AWS_ACCESS_KEY_ID= AWS_SECRET_ACCESS_KEY= AWS_DEFAULT_REGION= +# Set S3 Bucket name when using AWS speech services +S3_BUCKET_NAME= + # Storage # ------- # Set Azure storage keys if using Azure Blob Storage @@ -44,9 +47,6 @@ AZURE_STORAGE_ACCOUNT_URL= AZURE_STORAGE_ACCOUNT_KEY= AZURE_STORAGE_CONTAINER= -# Create the S3 bucket -S3_BUCKET_NAME= - # Set GCP credentials (json) GOOGLE_APPLICATION_CREDENTIALS= diff --git a/docker-compose.yml b/docker-compose.yml index 9c2fdd02..17ff2b53 100644 --- a/docker-compose.yml +++ b/docker-compose.yml @@ -73,21 +73,22 @@ services: - AZURE_SPEECH_REGION=${AZURE_SPEECH_REGION} - AZURE_TRANSLATION_KEY=${AZURE_TRANSLATION_KEY} - AZURE_TRANSLATION_RESOURCE_LOCATION=${AZURE_TRANSLATION_RESOURCE_LOCATION} + - AWS_ACCESS_KEY_ID=${AWS_ACCESS_KEY_ID} + - AWS_SECRET_ACCESS_KEY=${AWS_SECRET_ACCESS_KEY} + - AWS_DEFAULT_REGION=${AWS_DEFAULT_REGION} + - S3_BUCKET_NAME=${S3_BUCKET_NAME} - STORAGE_TYPE=${STORAGE_TYPE} - AZURE_STORAGE_ACCOUNT_URL=${AZURE_STORAGE_ACCOUNT_URL} - AZURE_STORAGE_ACCOUNT_KEY=${AZURE_STORAGE_ACCOUNT_KEY} - AZURE_STORAGE_CONTAINER=${AZURE_STORAGE_CONTAINER} - PUBLIC_URL_PREFIX=${PUBLIC_URL_PREFIX} - - AWS_ACCESS_KEY_ID=${AWS_ACCESS_KEY_ID} - - AWS_SECRET_ACCESS_KEY=${AWS_SECRET_ACCESS_KEY} - - AWS_DEFAULT_REGION=${AWS_DEFAULT_REGION} - - S3_BUCKET_NAME=${S3_BUCKET_NAME} - - GOOGLE_APPLICATION_CREDENTIALS=${GOOGLE_APPLICATION_CREDENTIALS} + - GOOGLE_APPLICATION_CREDENTIALS=/app/credentials/google-credentials.json depends_on: - kafka - postgres volumes: - ./media:/mnt/jb_files + - ${GOOGLE_APPLICATION_CREDENTIALS}:/app/credentials/google-credentials.json:ro flow: environment: - POSTGRES_DATABASE_NAME=${POSTGRES_DATABASE_NAME} diff --git a/language/src/speech_processor.py b/language/src/speech_processor.py index 90f839fd..bfb6909b 100644 --- a/language/src/speech_processor.py +++ b/language/src/speech_processor.py @@ -14,7 +14,6 @@ import requests from botocore.exceptions import BotoCoreError, ClientError import asyncio -import requests from lib.model import InternalServerException, LanguageCodes from .audio_converter import convert_wav_bytes_to_mp3_bytes @@ -398,6 +397,7 @@ async def text_to_speech( # ) return new_audio_content + class AWSSpeechProcessor(SpeechProcessor): def __init__(self): # Set AWS credentials using environment variables @@ -657,4 +657,5 @@ async def text_to_speech( except Exception as exc: excs.append(exc) - raise ExceptionGroup("CompositeSpeechProcessor text to speech failed", excs) \ No newline at end of file + raise ExceptionGroup("CompositeSpeechProcessor text to speech failed", excs) + \ No newline at end of file diff --git a/language/src/translator.py b/language/src/translator.py index 8689ecde..03f3aca9 100644 --- a/language/src/translator.py +++ b/language/src/translator.py @@ -294,6 +294,7 @@ async def transliterate_text( print(response) return response[0]["text"] + class AWSTranslator(Translator): def __init__(self): self.translate = boto3.client( @@ -322,7 +323,8 @@ async def translate_text( TargetLanguageCode=destination_language_code, ) return response['TranslatedText'] - + + class GCPTranslator(Translator): def __init__(self): os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = os.getenv("GOOGLE_APPLICATION_CREDENTIALS") @@ -348,6 +350,7 @@ async def translate_text( ) return response['translatedText'] + class CompositeTranslator(Translator): def __init__(self, *translators: Translator): self.translators = translators