Update app.py

app.py

@@ -1,16 +1,18 @@
 import gradio as gr
 from inference import InferencePipeline
 
+# Initialize your model or inference pipeline
 i = InferencePipeline()
 
+# Define your Gradio interface
 demo = gr.Interface(
-    fn=i.voice_conversion,
-    inputs=gr.Audio(source="microphone", type="filepath", label="Record or upload your voice"),
-    outputs=gr.Audio(label="Converted Voice"),
+    fn=i.voice_conversion,  # The function to convert voice
+    inputs=gr.Audio(label="Record or upload your voice"),  # Define the input as audio
+    outputs=gr.Audio(label="Converted Voice"),  # Define the output as audio
     title="Voice Conversion Demo",
     description="Voice Conversion: Transform the input voice to a target voice.",
-    allow_flagging="never",
+    allow_flagging="never"
 )
 
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()