Update app.py

app.py

@@ -71,9 +71,17 @@ def convert(model, src_mic,src_file, tgt):
         src = src_mic
     elif src_file:
         src = src_file
+    #if not src:
+    #    logging.warning("source or target are not provided")
+    #    return
+    
     if not src:
-        logging.warning("source or target are not provided")
-        return
+        logging.error("Source audio not provided")
+        return "Error: Source audio not provided"
+
+    if not tgt:
+        logging.error("Reference audio not provided")
+        return "Error: Reference audio not provided"
  
     with torch.no_grad():
         # tgt
@@ -120,7 +128,7 @@ audio1_mic=gr.Audio(source="microphone", type="filepath", label='record your voi
 audio1_file = gr.inputs.Audio(type='filepath', label='or upload an audio file', optional=True)
 audio2 = gr.inputs.Audio(label="Reference Audio", type='filepath')
 inputs = [model, audio1_mic, audio1_file, audio2]
-outputs =  gr.outputs.Audio(label="Output Audio", type='filepath')
+outputs = gr.outputs.Audio(label="Output Audio", type='filepath')
 
 title = "FreeVC"
 description = "Gradio Demo for FreeVC: Towards High-Quality Text-Free One-Shot Voice Conversion. To use it, simply upload your audio, or click the example to load. Read more at the links below. Note: It seems that the WavLM checkpoint in HuggingFace is a little different from the one used to train FreeVC, which may degrade the performance a bit. In addition, speaker similarity can be largely affected if there are too much silence in the reference audio, so please <strong>trim</strong> it before submitting."