fix: which model is used?

core.py

@@ -38,6 +38,8 @@ class WhisperLiveKit:
             )
         
         self.args = args
+
+        print(args)
         
         self.asr = None
         self.tokenizer = None

main.py

@@ -167,4 +167,6 @@ if __name__ == "__main__":
     parser.add_argument("--task", type=str, default="transcribe", help="Task to perform")
     args = parser.parse_args()
 
+    print(args)
+
     uvicorn.run(app, host=args.host, port=args.port) 

whisper_streaming_custom/backends.py

@@ -151,6 +151,7 @@ class FasterWhisperASR(ASRBase):
             compute_type=compute_type,
             download_root=cache_dir,
         )
+        
         return model
 
     def transcribe(self, audio: np.ndarray, init_prompt: str = "") -> list: