mirror of
https://github.com/remsky/Kokoro-FastAPI.git
synced 2025-04-13 09:39:17 +00:00
211 lines
7.1 KiB
Python
211 lines
7.1 KiB
Python
from typing import AsyncGenerator, List, Union
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from fastapi import APIRouter, Depends, Header, HTTPException, Request, Response
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from fastapi.responses import StreamingResponse
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from loguru import logger
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from ..services.audio import AudioService
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from ..services.tts_service import TTSService
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from ..structures.schemas import OpenAISpeechRequest
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router = APIRouter(
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tags=["OpenAI Compatible TTS"],
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responses={404: {"description": "Not found"}},
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)
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# Global TTSService instance with lock
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_tts_service = None
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_init_lock = None
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async def get_tts_service() -> TTSService:
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"""Get global TTSService instance"""
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global _tts_service, _init_lock
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# Create lock if needed
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if _init_lock is None:
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import asyncio
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_init_lock = asyncio.Lock()
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# Initialize service if needed
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if _tts_service is None:
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async with _init_lock:
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# Double check pattern
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if _tts_service is None:
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_tts_service = await TTSService.create()
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logger.info("Created global TTSService instance")
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return _tts_service
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async def process_voices(
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voice_input: Union[str, List[str]], tts_service: TTSService
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) -> str:
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"""Process voice input into a combined voice, handling both string and list formats"""
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# Convert input to list of voices
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if isinstance(voice_input, str):
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voices = [v.strip() for v in voice_input.split("+") if v.strip()]
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else:
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voices = voice_input
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if not voices:
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raise ValueError("No voices provided")
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# Check if all voices exist
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available_voices = await tts_service.list_voices()
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for voice in voices:
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if voice not in available_voices:
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raise ValueError(
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f"Voice '{voice}' not found. Available voices: {', '.join(sorted(available_voices))}"
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)
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# If single voice, return it directly
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if len(voices) == 1:
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return voices[0]
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# Otherwise combine voices
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return await tts_service.combine_voices(voices=voices)
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async def stream_audio_chunks(
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tts_service: TTSService,
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request: OpenAISpeechRequest,
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client_request: Request
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) -> AsyncGenerator[bytes, None]:
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"""Stream audio chunks as they're generated with client disconnect handling"""
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voice_to_use = await process_voices(request.voice, tts_service)
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try:
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async for chunk in tts_service.generate_audio_stream(
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text=request.input,
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voice=voice_to_use,
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speed=request.speed,
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output_format=request.response_format,
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):
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# Check if client is still connected
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if await client_request.is_disconnected():
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logger.info("Client disconnected, stopping audio generation")
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break
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yield chunk
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except Exception as e:
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logger.error(f"Error in audio streaming: {str(e)}")
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# Let the exception propagate to trigger cleanup
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raise
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@router.post("/audio/speech")
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async def create_speech(
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request: OpenAISpeechRequest,
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client_request: Request,
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x_raw_response: str = Header(None, alias="x-raw-response"),
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):
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"""OpenAI-compatible endpoint for text-to-speech"""
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try:
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# Get global service instance
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tts_service = await get_tts_service()
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# Process voice combination and validate
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voice_to_use = await process_voices(request.voice, tts_service)
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# Set content type based on format
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content_type = {
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"mp3": "audio/mpeg",
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"opus": "audio/opus",
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"aac": "audio/aac",
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"flac": "audio/flac",
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"wav": "audio/wav",
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"pcm": "audio/pcm",
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}.get(request.response_format, f"audio/{request.response_format}")
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# Check if streaming is requested (default for OpenAI client)
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if request.stream:
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# Stream audio chunks as they're generated
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return StreamingResponse(
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stream_audio_chunks(tts_service, request, client_request),
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media_type=content_type,
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headers={
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"Content-Disposition": f"attachment; filename=speech.{request.response_format}",
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"X-Accel-Buffering": "no", # Disable proxy buffering
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"Cache-Control": "no-cache", # Prevent caching
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"Transfer-Encoding": "chunked", # Enable chunked transfer encoding
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},
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)
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else:
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# Generate complete audio
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audio, _ = tts_service._generate_audio(
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text=request.input,
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voice=voice_to_use,
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speed=request.speed,
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stitch_long_output=True,
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)
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# Convert to requested format
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content = AudioService.convert_audio(
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audio, 24000, request.response_format, is_first_chunk=True, stream=False
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)
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return Response(
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content=content,
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media_type=content_type,
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headers={
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"Content-Disposition": f"attachment; filename=speech.{request.response_format}",
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"Cache-Control": "no-cache", # Prevent caching
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},
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)
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except ValueError as e:
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logger.error(f"Invalid request: {str(e)}")
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raise HTTPException(
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status_code=400, detail={"error": "Invalid request", "message": str(e)}
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)
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except Exception as e:
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logger.error(f"Error generating speech: {str(e)}")
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raise HTTPException(
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status_code=500, detail={"error": "Server error", "message": str(e)}
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)
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@router.get("/audio/voices")
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async def list_voices():
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"""List all available voices for text-to-speech"""
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try:
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tts_service = await get_tts_service()
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voices = await tts_service.list_voices()
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return {"voices": voices}
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except Exception as e:
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logger.error(f"Error listing voices: {str(e)}")
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raise HTTPException(status_code=500, detail=str(e))
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@router.post("/audio/voices/combine")
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async def combine_voices(request: Union[str, List[str]]):
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"""Combine multiple voices into a new voice.
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Args:
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request: Either a string with voices separated by + (e.g. "voice1+voice2")
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or a list of voice names to combine
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Returns:
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Dict with combined voice name and list of all available voices
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Raises:
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HTTPException:
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- 400: Invalid request (wrong number of voices, voice not found)
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- 500: Server error (file system issues, combination failed)
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"""
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try:
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tts_service = await get_tts_service()
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combined_voice = await process_voices(request, tts_service)
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voices = await tts_service.list_voices()
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return {"voices": voices, "voice": combined_voice}
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except ValueError as e:
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logger.error(f"Invalid voice combination request: {str(e)}")
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raise HTTPException(
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status_code=400, detail={"error": "Invalid request", "message": str(e)}
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)
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except Exception as e:
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logger.error(f"Server error during voice combination: {str(e)}")
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raise HTTPException(
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status_code=500, detail={"error": "Server error", "message": "Server error"}
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)
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