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funasr_local/runtime/python/websocket/ws_server_online.py

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+import asyncio
+import json
+import websockets
+import time
+from queue import Queue
+import threading
+import logging
+import tracemalloc
+import numpy as np
+
+from parse_args import args
+from modelscope.pipelines import pipeline
+from modelscope.utils.constant import Tasks
+from modelscope.utils.logger import get_logger
+from funasr_local_onnx.utils.frontend import load_bytes
+
+tracemalloc.start()
+
+logger = get_logger(log_level=logging.CRITICAL)
+logger.setLevel(logging.CRITICAL)
+
+
+websocket_users = set()
+
+
+print("model loading")
+
+inference_pipeline_asr_online = pipeline(
+    task=Tasks.auto_speech_recognition,
+    model=args.asr_model_online,
+    model_revision='v1.0.4')
+
+print("model loaded")
+
+
+
+async def ws_serve(websocket, path):
+    frames_online = []
+    global websocket_users
+    websocket.send_msg = Queue()
+    websocket_users.add(websocket)
+    websocket.param_dict_asr_online = {"cache": dict()}
+    websocket.speek_online = Queue()
+    ss_online = threading.Thread(target=asr_online, args=(websocket,))
+    ss_online.start()
+
+    try:
+        async for message in websocket:
+            message = json.loads(message)
+            is_finished = message["is_finished"]
+            if not is_finished:
+                audio = bytes(message['audio'], 'ISO-8859-1')
+
+                is_speaking = message["is_speaking"]
+                websocket.param_dict_asr_online["is_final"] = not is_speaking
+
+                websocket.param_dict_asr_online["chunk_size"] = message["chunk_size"]
+                
+    
+                frames_online.append(audio)
+    
+                if len(frames_online) % message["chunk_interval"] == 0 or not is_speaking:
+                    
+                    audio_in = b"".join(frames_online)
+                    websocket.speek_online.put(audio_in)
+                    frames_online = []
+
+            if not websocket.send_msg.empty():
+                await websocket.send(websocket.send_msg.get())
+                websocket.send_msg.task_done()
+
+     
+    except websockets.ConnectionClosed:
+        print("ConnectionClosed...", websocket_users)    # 链接断开
+        websocket_users.remove(websocket)
+    except websockets.InvalidState:
+        print("InvalidState...")    # 无效状态
+    except Exception as e:
+        print("Exception:", e)
+ 
+
+
+def asr_online(websocket):  # ASR推理
+    global websocket_users
+    while websocket in websocket_users:
+        if not websocket.speek_online.empty():
+            audio_in = websocket.speek_online.get()
+            websocket.speek_online.task_done()
+            if len(audio_in) > 0:
+                # print(len(audio_in))
+                audio_in = load_bytes(audio_in)
+                rec_result = inference_pipeline_asr_online(audio_in=audio_in,
+                                                           param_dict=websocket.param_dict_asr_online)
+                if websocket.param_dict_asr_online["is_final"]:
+                    websocket.param_dict_asr_online["cache"] = dict()
+                
+                if "text" in rec_result:
+                    if rec_result["text"] != "sil" and rec_result["text"] != "waiting_for_more_voice":
+                        print(rec_result["text"])
+                        message = json.dumps({"mode": "online", "text": rec_result["text"]})
+                        websocket.send_msg.put(message)
+        
+        time.sleep(0.005)
+
+
+start_server = websockets.serve(ws_serve, args.host, args.port, subprotocols=["binary"], ping_interval=None)
+asyncio.get_event_loop().run_until_complete(start_server)
+asyncio.get_event_loop().run_forever()