Update app.py

app.py

@@ -1,17 +1,18 @@
 import os
+os.system('pip install gradio==2.3.0a0')
 os.system('pip install voicefixer --upgrade')
 from voicefixer import VoiceFixer
 import gradio as gr
 voicefixer = VoiceFixer()
 def inference(audio,mode):
-    voicefixer.restore(input=audio, # input wav file path
+    voicefixer.restore(input=audio.name, # input wav file path
                     output="output.wav", # output wav file path
                     cuda=False, # whether to use gpu acceleration
                     mode = int(mode)) # You can try out mode 0, 1 to find out the best result
     return 'output.wav'
 
-inputs = [gr.inputs.Audio(type="filepath", label="Input Audio"),gr.inputs.Radio(choices=['0','1','2'], type="value", default='0', label='mode')]
-outputs =  gr.outputs.Audio(type="filepath",label="Output Audio")
+inputs = [gr.inputs.Audio(type="file", label="Input Audio"),gr.inputs.Radio(choices=['0','1','2'], type="value", default='0', label='mode')]
+outputs =  gr.outputs.Audio(type="file",label="Output Audio")
 
 
 title = "Voice Fixer"
@@ -20,4 +21,4 @@ article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2109.137
 
 examples=[['bruce.wav','2']]
 
-gr.Interface(inference, inputs, outputs, title=title, description=description, article=article, examples=examples, enable_queue=True).launch()
+gr.Interface(inference, inputs, outputs, title=title, description=description, article=article, examples=examples, enable_queue=True).launch()