87 lines
2.9 KiB
Python
87 lines
2.9 KiB
Python
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import asyncio
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import websockets
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import argparse
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import json
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from funasr import AutoModel
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import os
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# 设置日志级别
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import logging
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logger = logging.getLogger(__name__)
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logger.setLevel(logging.CRITICAL)
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# 解析命令行参数
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parser = argparse.ArgumentParser()
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parser.add_argument("--host", type=str, default="0.0.0.0", help="host ip, localhost, 0.0.0.0")
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parser.add_argument("--port", type=int, default=10197, help="grpc server port")
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parser.add_argument("--ngpu", type=int, default=1, help="0 for cpu, 1 for gpu")
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args = parser.parse_args()
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# 初始化模型
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print("model loading")
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asr_model = AutoModel(model="paraformer-zh", model_revision="v2.0.4",
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vad_model="fsmn-vad", vad_model_revision="v2.0.4",
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punc_model="ct-punc-c", punc_model_revision="v2.0.4")
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print("model loaded")
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websocket_users = {}
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task_queue = asyncio.Queue()
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async def ws_serve(websocket, path):
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global websocket_users
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user_id = id(websocket)
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websocket_users[user_id] = websocket
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try:
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async for message in websocket:
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if isinstance(message, str):
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data = json.loads(message)
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if 'url' in data:
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await task_queue.put((websocket, data['url']))
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except websockets.exceptions.ConnectionClosed as e:
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logger.info(f"Connection closed: {e.reason}")
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except Exception as e:
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logger.error(f"Unexpected error: {e}")
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finally:
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logger.info(f"Cleaning up connection for user {user_id}")
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if user_id in websocket_users:
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del websocket_users[user_id]
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await websocket.close()
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logger.info("WebSocket closed")
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async def worker():
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while True:
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websocket, url = await task_queue.get()
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if websocket.open:
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await process_wav_file(websocket, url)
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else:
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logger.info("WebSocket connection is already closed when trying to process file")
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task_queue.task_done()
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async def process_wav_file(websocket, url):
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#热词
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param_dict = {"sentence_timestamp": False}
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with open("data/hotword.txt", "r", encoding="utf-8") as f:
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lines = f.readlines()
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lines = [line.strip() for line in lines]
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hotword = " ".join(lines)
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print(f"热词：{hotword}")
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param_dict["hotword"] = hotword
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wav_path = url
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try:
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res = asr_model.generate(input=wav_path,is_final=True, **param_dict)
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if res:
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if 'text' in res[0] and websocket.open:
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await websocket.send(res[0]['text'])
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except Exception as e:
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print(f"Error during model.generate: {e}")
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finally:
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if os.path.exists(wav_path):
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os.remove(wav_path)
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async def main():
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start_server = websockets.serve(ws_serve, args.host, args.port, subprotocols=["binary"], ping_interval=10)
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await start_server
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worker_task = asyncio.create_task(worker())
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await worker_task
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# 使用 asyncio 运行主函数
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asyncio.run(main())
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