- FastAPI-based TTS server using Piper neural text-to-speech - Poetry for dependency management and virtual environments - OpenAI-compatible API endpoints for seamless integration - Support for multiple voice models (Ryan, Alan, Lessac) - Robust error handling and voice fallback system - Professional logging and configuration management - Docker-ready with proper Python packaging 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
169 lines
5.1 KiB
Python
169 lines
5.1 KiB
Python
"""FastAPI application for voice server."""
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import logging
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from typing import Optional
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from fastapi import FastAPI, HTTPException, Response
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from pydantic import BaseModel, Field
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from .tts import TTSService
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from .config import config
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# Configure logging
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logging.basicConfig(level=getattr(logging, config.log_level.upper()))
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logger = logging.getLogger(__name__)
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# Initialize TTS service
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try:
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tts_service = TTSService()
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except Exception as e:
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logger.error(f"Failed to initialize TTS service: {e}")
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tts_service = None
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app = FastAPI(
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title="Homelab Voice Server",
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description="Local TTS server for Claude Code voice assistant using Piper",
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version="0.1.0"
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)
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class TTSRequest(BaseModel):
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"""Request model for TTS synthesis."""
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input: str = Field(..., description="Text to synthesize")
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model: str = Field(default="tts-1", description="Model to use (for compatibility)")
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voice: str = Field(default="alloy", description="Voice to use")
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response_format: str = Field(default="mp3", description="Audio format (ignored, always returns wav)")
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speed: float = Field(default=1.0, ge=0.25, le=4.0, description="Speech speed")
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class ModelInfo(BaseModel):
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"""Model information."""
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id: str
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object: str = "model"
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created: int = 1677649963
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owned_by: str = "piper"
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class ModelsResponse(BaseModel):
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"""Response for models endpoint."""
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object: str = "list"
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data: list[ModelInfo]
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@app.get("/health")
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async def health_check():
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"""Health check endpoint."""
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if tts_service is None:
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raise HTTPException(status_code=503, detail="TTS service not available")
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return {
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"status": "healthy",
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"tts_available": True,
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"default_voice": config.default_voice,
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"voices_available": len(config.available_voices)
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}
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@app.get("/v1/models", response_model=ModelsResponse)
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async def list_models():
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"""List available models (OpenAI compatible)."""
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return ModelsResponse(
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object="list",
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data=[
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ModelInfo(id="tts-1", owned_by="piper"),
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ModelInfo(id="tts-1-hd", owned_by="piper")
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]
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)
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@app.get("/v1/voices")
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async def list_voices():
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"""List available voices."""
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if tts_service is None:
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raise HTTPException(status_code=503, detail="TTS service not available")
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return {"voices": tts_service.list_voices()}
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@app.get("/v1/voices/{voice_name}")
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async def get_voice_info(voice_name: str):
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"""Get information about a specific voice."""
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if tts_service is None:
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raise HTTPException(status_code=503, detail="TTS service not available")
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try:
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voice_info = tts_service.get_voice_info(voice_name)
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return voice_info
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except ValueError as e:
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raise HTTPException(status_code=404, detail=str(e))
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@app.post("/v1/audio/speech")
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async def create_speech(request: TTSRequest):
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"""
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Create speech from text (OpenAI compatible).
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Returns raw audio data as wav format.
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"""
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if tts_service is None:
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raise HTTPException(status_code=503, detail="TTS service not available")
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# Map common voice names to our voices
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voice_mapping = {
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# OpenAI voices
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"alloy": config.default_voice,
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"echo": config.default_voice,
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"fable": config.default_voice,
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"onyx": config.default_voice,
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"nova": "lessac", # Female voice
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"shimmer": "lessac", # Female voice
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# Common defaults
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"default": config.default_voice,
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"male": config.default_voice,
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"female": "lessac"
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}
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# Get voice name, with fallback to default
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voice_name = voice_mapping.get(request.voice, request.voice)
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# If the requested voice doesn't exist in our available voices, use default
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if voice_name not in config.available_voices:
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logger.warning(f"Requested voice '{voice_name}' not available, using default: {config.default_voice}")
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voice_name = config.default_voice
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try:
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audio_data, audio_format = tts_service.synthesize(
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text=request.input,
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voice=voice_name,
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speed=request.speed
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)
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# Return raw audio data
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return Response(
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content=audio_data,
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media_type="audio/wav",
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headers={
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"Content-Disposition": "attachment; filename=speech.wav"
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}
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)
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except ValueError as e:
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raise HTTPException(status_code=400, detail=str(e))
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except RuntimeError as e:
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logger.error(f"TTS synthesis failed: {e}")
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raise HTTPException(status_code=500, detail=f"TTS synthesis failed: {e}")
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@app.get("/")
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async def root():
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"""Root endpoint with API information."""
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return {
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"service": "Homelab Voice Server",
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"version": "0.1.0",
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"description": "Local TTS server using Piper",
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"endpoints": {
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"health": "/health",
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"models": "/v1/models",
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"voices": "/v1/voices",
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"speech": "/v1/audio/speech"
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},
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"default_voice": config.default_voice,
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"available_voices": list(config.available_voices.keys()) if tts_service else []
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} |