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| from fastapi import FastAPI, Query, HTTPException | |
| from fastapi.responses import StreamingResponse | |
| from fastapi.responses import FileResponse | |
| from TTS.api import TTS | |
| import os | |
| from io import BytesIO | |
| from typing import Generator | |
| app = FastAPI() | |
| import os | |
| # By using XTTS you agree to CPML license https://coqui.ai/cpml | |
| os.environ["COQUI_TOS_AGREED"] = "1" | |
| # Initialize the TTS model | |
| tts = TTS("tts_models/multilingual/multi-dataset/xtts_v2", gpu=False) # Set gpu=True if you have GPU support | |
| # Predefined path to the sample voice clone | |
| FIXED_SPEAKER_WAV = "Bible Verses About Community.wav" | |
| # Function to split text into chunks | |
| def split_text(text: str, words_per_chunk: int = 20): | |
| words = text.split() | |
| return [' '.join(words[i:i + words_per_chunk]) for i in range(0, len(words), words_per_chunk)] | |
| async def generate_audio( | |
| text: str = Query(..., description="The input text to convert to speech."), | |
| language: str = Query("en", description="Language code for TTS (e.g., 'en' for English).")): | |
| if not os.path.exists(FIXED_SPEAKER_WAV): | |
| raise HTTPException(status_code=400, detail="Fixed speaker WAV file not found.") | |
| if tts.is_multi_lingual and not language: | |
| raise ValueError("Language must be specified for multi-lingual models.") | |
| # Generate audio for each chunk and yield as bytes | |
| output_file = f"out.wav" | |
| try: | |
| tts.tts_to_file( | |
| text=text, | |
| file_path=output_file, | |
| speaker_wav=FIXED_SPEAKER_WAV, | |
| language=language | |
| ) | |
| print(output_file) | |
| # Return the generated audio file as a response | |
| return FileResponse(output_file, media_type="audio/wav") | |
| except Exception as e: | |
| raise HTTPException(status_code=500, detail=f"Error generating audio: {str(e)}") | |
| # finally: | |
| # # Clean up the generated file after the response is sent | |
| # if os.path.exists(output_file): | |
| # os.remove(output_file) | |