Update app.py

app.py

@@ -89,10 +89,10 @@ def convert(model, src, tgt):
     return out
     
 model = gr.Dropdown(choices=["FreeVC", "FreeVC-s", "FreeVC (24kHz)"], value="FreeVC",type="value", label="Model") 
-audio1 = gr.inputs.Audio(label="Source Audio", type='filepath')
-audio2 = gr.inputs.Audio(label="Reference Audio", type='filepath')
+audio1 = gr.Audio(label="Source Audio", type='filepath')
+audio2 = gr.Audio(label="Reference Audio", type='filepath')
 inputs = [model, audio1, audio2]
-outputs =  gr.outputs.Audio(label="Output Audio", type='filepath')
+outputs =  gr.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."
@@ -100,4 +100,4 @@ article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2210.154
 
 examples=[["FreeVC", 'p225_001.wav', 'p226_002.wav'], ["FreeVC-s", 'p226_002.wav', 'p225_001.wav'], ["FreeVC (24kHz)", 'p225_001.wav', 'p226_002.wav']]
 
-gr.Interface(convert, inputs, outputs, title=title, description=description, article=article, examples=examples, enable_queue=True).launch()
+gr.Interface(convert, inputs, outputs, title=title, description=description, article=article, examples=examples).launch()