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Add eleven labs
Browse files- app.py +10 -5
- requirements.txt +1 -0
- utils.py +46 -0
app.py
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@@ -16,7 +16,7 @@ from pydub import AudioSegment
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import requests
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import json
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from utils import get_google_credentials, get_google_tts, get_openai_tts
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os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = get_google_credentials()
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@@ -42,7 +42,7 @@ KOTOBA_API_URL = os.getenv('KOTOBA_API_URL', 'https://api.example.com/tts')
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AVAILABLE_MODELS = {
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# 'XTTSv2': 'xtts',
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# # 'WhisperSpeech': 'whisperspeech',
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-
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# # 'OpenVoice': 'openvoice',
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# 'OpenVoice V2': 'openvoicev2',
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# 'Play.HT 2.0': 'playht',
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@@ -54,10 +54,10 @@ AVAILABLE_MODELS = {
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# 'VoiceCraft 2.0': 'voicecraft',
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# 'Parler TTS': 'parler'
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'MOE-VITS': 'moe-vits',
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'BARK': 'bark',
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'KOTOBA-TTS': 'kotoba-tts',
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#'BLANE-TTS': 'blane-tts',
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'AMITARO-VITS': 'amitaro-vits',
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'GOOGLE-TTS': 'google-tts',
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'OPENAI-TTS': 'openai-tts'
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}
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@@ -337,7 +337,8 @@ model_names = {
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# 'xtts2': 'Coqui XTTSv2',
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# 'xtts': 'Coqui XTTS',
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# 'openvoice': 'MyShell OpenVoice',
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# 'openai': 'OpenAI',
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# 'hierspeech': 'HierSpeech++',
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# 'pheme': 'PolyAI Pheme',
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@@ -743,6 +744,10 @@ def synthandreturn(text, retry=0):
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elif model == "openai-tts":
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local_filename = '/tmp/' + str(mkuuid(None)) + '.wav'
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result = get_openai_tts(text, local_filename=local_filename)
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elif model == "kotoba-tts":
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result = get_kotoba_tts(text)
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print(f"API TTS audio file: {result}")
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import requests
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import json
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from utils import get_google_credentials, get_google_tts, get_openai_tts, get_elevenlabs_tts
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os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = get_google_credentials()
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AVAILABLE_MODELS = {
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# 'XTTSv2': 'xtts',
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# # 'WhisperSpeech': 'whisperspeech',
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'ElevenLabs': 'eleven',
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# # 'OpenVoice': 'openvoice',
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# 'OpenVoice V2': 'openvoicev2',
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# 'Play.HT 2.0': 'playht',
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# 'VoiceCraft 2.0': 'voicecraft',
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# 'Parler TTS': 'parler'
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'MOE-VITS': 'moe-vits',
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# 'BARK': 'bark',
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'KOTOBA-TTS': 'kotoba-tts',
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#'BLANE-TTS': 'blane-tts',
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# 'AMITARO-VITS': 'amitaro-vits',
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'GOOGLE-TTS': 'google-tts',
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'OPENAI-TTS': 'openai-tts'
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}
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# 'xtts2': 'Coqui XTTSv2',
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# 'xtts': 'Coqui XTTS',
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# 'openvoice': 'MyShell OpenVoice',
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'elevenlabs': 'ElevenLabs',
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'ElevenLabs': 'ElevenLabs', # Add this to match AVAILABLE_MODELS key
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# 'openai': 'OpenAI',
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# 'hierspeech': 'HierSpeech++',
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# 'pheme': 'PolyAI Pheme',
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elif model == "openai-tts":
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local_filename = '/tmp/' + str(mkuuid(None)) + '.wav'
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result = get_openai_tts(text, local_filename=local_filename)
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elif model == "eleven":
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local_filename = '/tmp/' + str(mkuuid(None)) + '.wav'
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result = get_elevenlabs_tts(text, local_filename=local_filename)
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print(f"ElevenLabs TTS audio file: {result}")
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elif model == "kotoba-tts":
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result = get_kotoba_tts(text)
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print(f"API TTS audio file: {result}")
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requirements.txt
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@@ -9,3 +9,4 @@ pydub
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google-cloud-texttospeech
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openai
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numpy
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google-cloud-texttospeech
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openai
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numpy
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requests
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utils.py
CHANGED
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@@ -2,6 +2,7 @@ import os
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import json
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import tempfile
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from google.cloud import texttospeech
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from pathlib import Path
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from openai import OpenAI
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@@ -59,4 +60,49 @@ def get_google_tts(text, local_filename):
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out.write(response.audio_content)
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print(f'Audio content written to file {local_filename}')
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return local_filename
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import json
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import tempfile
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from google.cloud import texttospeech
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import requests
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from pathlib import Path
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from openai import OpenAI
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out.write(response.audio_content)
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print(f'Audio content written to file {local_filename}')
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return local_filename
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def get_elevenlabs_tts(text, local_filename):
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"""
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Call the Eleven Labs API to generate speech from text.
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Args:
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text (str): The text to convert to speech
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local_filename (str): Path to save the generated audio file
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Returns:
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str: Path to the generated audio file
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"""
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api_key = os.getenv("ELEVENLABS_API_KEY")
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# API endpoint for text-to-speech
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url = "https://api.elevenlabs.io/v1/text-to-speech/21m00Tcm4TlvDq8ikWAM" # Default voice ID (Rachel)
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# Headers with API key
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headers = {
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"Accept": "audio/mpeg",
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"Content-Type": "application/json",
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"xi-api-key": api_key
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}
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# Request body
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data = {
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"text": text,
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"model_id": "eleven_multilingual_v2",
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"voice_settings": {
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"stability": 0.5,
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"similarity_boost": 0.5
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}
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}
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# Make the request
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response = requests.post(url, json=data, headers=headers)
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# Check if the request was successful
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response.raise_for_status()
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# Save the audio content to the specified file
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with open(local_filename, "wb") as f:
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f.write(response.content)
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return local_filename
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