Update app.py

app.py

@@ -3,13 +3,13 @@ from inference import InferencePipeline
 
 i = InferencePipeline()
 
-def gradio_voice_conversion(audio_data):
+def gradio_voice_conversion(audio_file_path):
     """
     Wrapper function to handle Gradio's audio input and pass the file path to the voice conversion function.
     Gradio passes audio data as a tuple: (temp file path, sample rate).
     """
     # Gradio passes audio as (temp file path, sample rate)
-    audio_file_path = audio_data[0]  # Extract the file path
+    #audio_file_path = audio_data[0]  # Extract the file path
     print(f"Here is the audio_file_path: {audio_file_path}")
     return i.voice_conversion(audio_file_path)