Update inference.py

inference.py

@@ -26,8 +26,6 @@ class InferencePipeline():
         # 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")