app revise test

app.py

@@ -1,7 +1,7 @@
 import gradio as gr
-from inference import InferencePipeline
+#from inference import InferencePipeline
 
-i = InferencePipeline()
+#i = InferencePipeline()
 
 def gradio_voice_conversion(audio_file_path):
     """
@@ -12,7 +12,9 @@ def gradio_voice_conversion(audio_file_path):
     #audio_file_path = audio_data[0]  # Extract the file path
     print(f"Here is the audio_file_path: {audio_file_path}")
     #print(f"Here is the audio_file_path[0]: {audio_file_path[0]}")
-    return i.voice_conversion(audio_file_path)
+    random_wav = f"/path/to/generated_audio_{int(time.time())}.wav"
+    #return i.voice_conversion(audio_file_path)
+    return random_wav
 
 # Define your Gradio interface
 demo = gr.Interface(