remove vad model

transcribe/transcription.py

@@ -182,7 +182,6 @@ class TranscriptionServer:
         query_parameters_dict = dict(parse_qsl(urlparse(websocket.request.path).query))
         from_lang, to_lang = query_parameters_dict.get('from'), query_parameters_dict.get('to')
 
-       
         try:
             logging.info("New client connected")
             options = websocket.recv()

transcribe/whisper_llm_serve.py

@@ -115,7 +115,7 @@ class SegmentManager:
 class PywhisperInference:
     whisper_model = None
     llm_model = None
-    vad_model = None
+    # vad_model = None
  
     @classmethod
     def initializer(cls, event:mp.Event, warmup=True):
@@ -132,7 +132,7 @@ class PywhisperInference:
         
         # init llamacpp
         cls.llm_model = QwenTranslator(config.LLM_MODEL_PATH, config.LLM_SYS_PROMPT)
-        cls.vad_model = VoiceActivityDetector()
+        # cls.vad_model = VoiceActivityDetector()
    
         event.set()
      
@@ -172,10 +172,10 @@ class PywhisperInference:
     def translate(cls, context: str, src_lang, dst_lang):
         return cls.llm_model.translate(context, src_lang, dst_lang)
     
-    @classmethod
-    def voice_detect(cls, audio_buffer):
-        audio_buffer = np.frombuffer(audio_buffer, dtype=np.float32)
-        return cls.vad_model(audio_buffer)
+    # @classmethod
+    # def voice_detect(cls, audio_buffer):
+    #     audio_buffer = np.frombuffer(audio_buffer, dtype=np.float32)
+    #     return cls.vad_model(audio_buffer)