main.py

from fastapi import FastAPI, Query, HTTPException
from fastapi.responses import StreamingResponse
from TTS.api import TTS
import os
from io import BytesIO
from typing import Generator

app = FastAPI()

# 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)]

# Function to generate audio chunks
def generate_audio_chunks(text: str, language: str, chunk_size: int = 20) -> Generator[bytes, None, None]:
    if tts.is_multi_lingual and not language:
        raise ValueError("Language must be specified for multi-lingual models.")

    text_chunks = split_text(text, chunk_size)
    
    for idx, chunk in enumerate(text_chunks):
        # Generate audio for each chunk and yield as bytes
        audio_buffer = BytesIO()
        tts.tts_to_file(
            text=chunk,
            file_path=audio_buffer,
            speaker_wav=FIXED_SPEAKER_WAV,
            language=language
        )
        audio_buffer.seek(0)
        yield audio_buffer.read()

@app.post("/generate-audio/")
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.")

    # StreamingResponse to stream audio chunks
    def audio_stream():
        try:
            for audio_chunk in generate_audio_chunks(text=text, language=language):
                yield audio_chunk
        except Exception as e:
            raise HTTPException(status_code=500, detail=str(e))

    return StreamingResponse(audio_stream(), media_type="audio/wav")