Update inference.py

inference.py

@@ -25,6 +25,9 @@ class InferencePipeline():
     def voice_conversion(self, audio_data):
         # Extract the file path from the tuple
         audio_path = audio_data[0] if isinstance(audio_data, tuple) else audio_data
+        print(f"Loading audio from: {audio_path}")
+        if not isinstance(audio_path, (str, bytes, os.PathLike)):
+            raise TypeError(f"Invalid type for audio_path: {type(audio_path)}. Expected str, bytes, or os.PathLike.")
         
         # load source audio
         source, sr = torchaudio.load(audio_path) #"test.wav")