File size: 4,690 Bytes
35bb6f4 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 | from __future__ import annotations
import time
from fastapi import APIRouter, HTTPException
from fastapi.responses import Response, StreamingResponse
from loguru import logger
from api.src.core.model_config import get_backbone_info
from api.src.inference.model_manager import ModelManager
from api.src.inference.voice_manager import VoiceManager
from api.src.services.streaming_audio_writer import get_content_type
from api.src.services.tts_service import TTSService
from api.src.structures.schemas import (
ModelDetailResponse,
ModelInfo,
ModelListResponse,
OpenAISpeechRequest,
VoiceInfo,
VoiceListResponse,
make_error,
)
router = APIRouter(prefix="/v1", tags=["OpenAI Compatible"])
@router.post("/audio/speech")
async def create_speech(request: OpenAISpeechRequest) -> Response:
"""OpenAI-compatible TTS endpoint."""
model_manager = ModelManager.get_instance()
voice_manager = VoiceManager.get_instance()
tts_service = TTSService.get_instance()
# Validate model
if not model_manager.is_loaded(request.model):
raise HTTPException(status_code=400, detail=make_error(
f"Model '{request.model}' is not loaded. "
f"Available: {list(model_manager.loaded_models.keys())}"
))
# Validate voice
if not voice_manager.voice_exists(request.voice):
raise HTTPException(status_code=400, detail=make_error(
f"Voice '{request.voice}' not found. "
f"Available: {list(voice_manager.voices.keys())}"
))
content_type = get_content_type(request.response_format)
try:
if request.stream:
return StreamingResponse(
tts_service.stream_speech(request),
media_type=content_type,
headers={
"Content-Type": content_type,
"Transfer-Encoding": "chunked",
},
)
else:
start = time.perf_counter()
audio_data = await tts_service.generate_speech(request)
elapsed = time.perf_counter() - start
logger.info(
f"TTS: model={request.model} voice={request.voice} "
f"format={request.response_format} chars={len(request.input)} "
f"time={elapsed:.2f}s size={len(audio_data)} bytes"
)
return Response(
content=audio_data,
media_type=content_type,
headers={"Content-Type": content_type},
)
except Exception as e:
logger.error(f"TTS generation failed: {e}")
raise HTTPException(status_code=500, detail=make_error(str(e), "server_error", 500))
@router.get("/audio/voices", response_model=VoiceListResponse)
async def list_voices() -> VoiceListResponse:
"""List available voices."""
voice_manager = VoiceManager.get_instance()
voices = [
VoiceInfo(
voice_id=name,
name=name,
language=info["language"],
gender=info["gender"],
custom=info.get("custom", False),
available=info.get("available", True),
)
for name, info in voice_manager.voices.items()
]
return VoiceListResponse(voices=voices)
@router.get("/models", response_model=ModelListResponse)
async def list_models() -> ModelListResponse:
"""List loaded models (OpenAI-compatible)."""
model_manager = ModelManager.get_instance()
models = []
for model_id, loaded in model_manager.loaded_models.items():
info = get_backbone_info(model_id)
models.append(ModelInfo(
id=model_id,
language=info.language if info else None,
backend=info.backend.value if info else None,
supports_streaming=info.supports_streaming if info else False,
backbone_device=loaded.backbone_device,
codec_device=loaded.codec_device,
))
return ModelListResponse(data=models)
@router.get("/models/{model_id}", response_model=ModelDetailResponse)
async def get_model(model_id: str) -> ModelDetailResponse:
"""Get details about a specific model."""
model_manager = ModelManager.get_instance()
info = get_backbone_info(model_id)
if info is None:
raise HTTPException(status_code=404, detail=make_error(f"Model '{model_id}' not found"))
loaded = model_manager.loaded_models.get(model_id)
return ModelDetailResponse(
id=model_id,
language=info.language,
backend=info.backend.value,
supports_streaming=info.supports_streaming,
loaded=loaded is not None,
codec=loaded.codec_id if loaded else None,
)
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