update: 增加杂音屏蔽词，暂时停止记忆、情感识别功能

app/controllers/chat_controller.py

@@ -263,14 +263,15 @@ async def sct_asr_handler(ws,session_id,user_input_q,llm_input_q,user_input_fini
                 current_message += ''.join(asr_result['text'])
             asr_result = asr.streaming_recognize(session_id,b'',is_end=True)
             current_message += ''.join(asr_result['text'])
-            if current_message == "":
+            slice_arr = ["嗯",""]
+            if current_message in slice_arr:
                 await ws.send_text(json.dumps({"type": "close", "code": 201, "msg": ""}, ensure_ascii=False))
                 return
             current_message = asr.punctuation_correction(current_message)
-            emotion_dict = asr.emtion_recognition(audio)   #情感辨识
-            if not isinstance(emotion_dict, str):
-                max_index = emotion_dict['scores'].index(max(emotion_dict['scores']))
-            current_message = f"{current_message},当前说话人的情绪：{emotion_dict['labels'][max_index]}"
+            # emotion_dict = asr.emtion_recognition(audio)   #情感辨识
+            # if not isinstance(emotion_dict, str):
+                # max_index = emotion_dict['scores'].index(max(emotion_dict['scores']))
+            # current_message = f"{current_message},当前说话人的情绪：{emotion_dict['labels'][max_index]}"
             await llm_input_q.put(current_message)
             asr.session_signout(session_id)
         except Exception as e:
@@ -288,8 +289,11 @@ async def sct_asr_handler(ws,session_id,user_input_q,llm_input_q,user_input_fini
                 elif status == CONTINUE_FRAME:
                     await xf_websocket.send(make_continue_frame(audio_data))
             await xf_websocket.send(make_last_frame(""))
-        
+
             current_message = parse_xfasr_recv(json.loads(await xf_websocket.recv()))
+            if current_message in ["","嗯"]:
+                await ws.send_text(json.dumps({"type": "close", "code": 201, "msg": ""}, ensure_ascii=False))
+                return
             await llm_input_q.put(current_message)
             logger.debug(f"接收到用户消息: {current_message}")
             
@@ -305,9 +309,11 @@ async def sct_llm_handler(ws,session_id,response_type,llm_info,tts_info,db,redis
         user_info = json.loads(session_content["user_info"])
         messages = json.loads(session_content["messages"])
         current_message = await llm_input_q.get()
+        if current_message == "":
+            return
         messages.append({'role': 'user', "content": current_message})
         messages_send = messages  #创造一个message副本，在其中最后一条数据前面添加用户信息
-        messages_send[-1]['content'] = f"用户性格:{user_info['character']}\n事件摘要:{user_info['events']}" + messages_send[-1]['content']
+        # messages_send[-1]['content'] = f"用户性格:{user_info['character']}\n事件摘要:{user_info['events']}" + messages_send[-1]['content']
         payload = json.dumps({
             "model": llm_info["model"],
             "stream": True,