78 lines
No EOL
2.1 KiB
Python
78 lines
No EOL
2.1 KiB
Python
from contextlib import asynccontextmanager
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from fastapi import FastAPI, WebSocket, WebSocketDisconnect
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from fastapi.responses import HTMLResponse
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from fastapi.middleware.cors import CORSMiddleware
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from whisper_streaming_custom.whisper_online import backend_factory, warmup_asr
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import logging
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from parse_args import parse_args
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from audio import AudioProcessor
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logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s")
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logging.getLogger().setLevel(logging.WARNING)
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logger = logging.getLogger(__name__)
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logger.setLevel(logging.DEBUG)
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args = parse_args()
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@asynccontextmanager
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async def lifespan(app: FastAPI):
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global asr, tokenizer, diarization
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if args.transcription:
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asr, tokenizer = backend_factory(args)
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warmup_asr(asr, args.warmup_file)
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else:
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asr, tokenizer = None, None
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if args.diarization:
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from diarization.diarization_online import DiartDiarization
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diarization = DiartDiarization()
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else :
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diarization = None
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yield
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app = FastAPI(lifespan=lifespan)
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"],
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"],
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)
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# Load demo HTML for the root endpoint
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with open("web/live_transcription.html", "r", encoding="utf-8") as f:
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html = f.read()
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@app.get("/")
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async def get():
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return HTMLResponse(html)
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@app.websocket("/asr")
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async def websocket_endpoint(websocket: WebSocket):
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audio_processor = AudioProcessor(args, asr, tokenizer)
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await websocket.accept()
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logger.info("WebSocket connection opened.")
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await audio_processor.create_tasks(websocket, diarization)
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try:
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while True:
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message = await websocket.receive_bytes()
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audio_processor.process_audio(message)
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except WebSocketDisconnect:
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logger.warning("WebSocket disconnected.")
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finally:
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audio_processor.cleanup()
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logger.info("WebSocket endpoint cleaned up.")
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if __name__ == "__main__":
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import uvicorn
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uvicorn.run(
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"whisper_fastapi_online_server:app", host=args.host, port=args.port, reload=True,
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log_level="info"
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) |