import asyncio
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import json
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import websockets
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import time
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from queue import Queue
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import threading
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import argparse
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from modelscope.pipelines import pipeline
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from modelscope.utils.constant import Tasks
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from modelscope.utils.logger import get_logger
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import logging
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import tracemalloc
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import numpy as np
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tracemalloc.start()
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logger = get_logger(log_level=logging.CRITICAL)
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logger.setLevel(logging.CRITICAL)
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websocket_users = set() #维护客户端列表
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parser = argparse.ArgumentParser()
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parser.add_argument("--host",
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type=str,
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default="0.0.0.0",
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required=False,
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help="host ip, localhost, 0.0.0.0")
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parser.add_argument("--port",
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type=int,
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default=10095,
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required=False,
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help="grpc server port")
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parser.add_argument("--asr_model",
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type=str,
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default="damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch",
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help="model from modelscope")
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parser.add_argument("--vad_model",
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type=str,
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default="damo/speech_fsmn_vad_zh-cn-16k-common-pytorch",
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help="model from modelscope")
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parser.add_argument("--punc_model",
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type=str,
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default="damo/punc_ct-transformer_zh-cn-common-vad_realtime-vocab272727",
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help="model from modelscope")
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parser.add_argument("--ngpu",
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type=int,
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default=1,
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help="0 for cpu, 1 for gpu")
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args = parser.parse_args()
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print("model loading")
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def load_bytes(input):
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middle_data = np.frombuffer(input, dtype=np.int16)
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middle_data = np.asarray(middle_data)
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if middle_data.dtype.kind not in 'iu':
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raise TypeError("'middle_data' must be an array of integers")
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dtype = np.dtype('float32')
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if dtype.kind != 'f':
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raise TypeError("'dtype' must be a floating point type")
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i = np.iinfo(middle_data.dtype)
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abs_max = 2 ** (i.bits - 1)
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offset = i.min + abs_max
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array = np.frombuffer((middle_data.astype(dtype) - offset) / abs_max, dtype=np.float32)
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return array
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inference_pipeline_asr_online = pipeline(
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task=Tasks.auto_speech_recognition,
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# model='damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online',
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model='damo/speech_paraformer_asr_nat-zh-cn-16k-common-vocab8404-online',
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model_revision=None)
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print("model loaded")
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async def ws_serve(websocket, path):
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frames_online = []
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global websocket_users
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websocket.send_msg = Queue()
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websocket_users.add(websocket)
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websocket.param_dict_asr_online = {"cache": dict()}
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websocket.speek_online = Queue()
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ss_online = threading.Thread(target=asr_online, args=(websocket,))
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ss_online.start()
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ss_ws_send = threading.Thread(target=ws_send, args=(websocket,))
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ss_ws_send.start()
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try:
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async for message in websocket:
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message = json.loads(message)
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audio = bytes(message['audio'], 'ISO-8859-1')
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chunk = message["chunk"]
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chunk_num = 500//chunk
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is_speaking = message["is_speaking"]
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websocket.param_dict_asr_online["is_final"] = not is_speaking
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frames_online.append(audio)
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if len(frames_online) % chunk_num == 0 or not is_speaking:
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audio_in = b"".join(frames_online)
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websocket.speek_online.put(audio_in)
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frames_online = []
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# if not websocket.send_msg.empty():
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# await websocket.send(websocket.send_msg.get())
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# websocket.send_msg.task_done()
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except websockets.ConnectionClosed:
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print("ConnectionClosed...", websocket_users) # 链接断开
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websocket_users.remove(websocket)
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except websockets.InvalidState:
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print("InvalidState...") # 无效状态
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except Exception as e:
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print("Exception:", e)
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def ws_send(websocket): # ASR推理
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global inference_pipeline_asr_online
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global websocket_users
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while websocket in websocket_users:
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if not websocket.speek_online.empty():
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await websocket.send(websocket.send_msg.get())
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websocket.send_msg.task_done()
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time.sleep(0.005)
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def asr_online(websocket): # ASR推理
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global websocket_users
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while websocket in websocket_users:
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if not websocket.send_msg.empty():
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audio_in = websocket.speek_online.get()
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websocket.speek_online.task_done()
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if len(audio_in) > 0:
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# print(len(audio_in))
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audio_in = load_bytes(audio_in)
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# print(audio_in.shape)
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print(websocket.param_dict_asr_online["is_final"])
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rec_result = inference_pipeline_asr_online(audio_in=audio_in,
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param_dict=websocket.param_dict_asr_online)
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if websocket.param_dict_asr_online["is_final"]:
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websocket.param_dict_asr_online["cache"] = dict()
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print(rec_result)
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if "text" in rec_result:
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if rec_result["text"] != "sil" and rec_result["text"] != "waiting_for_more_voice":
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message = json.dumps({"mode": "online", "text": rec_result["text"]})
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websocket.send_msg.put(message) # 存入发送队列 直接调用send发送不了
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time.sleep(0.005)
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start_server = websockets.serve(ws_serve, args.host, args.port, subprotocols=["binary"], ping_interval=None)
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asyncio.get_event_loop().run_until_complete(start_server)
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asyncio.get_event_loop().run_forever()
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