Create app.py

app.py

@@ -0,0 +1,19 @@
+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.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="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"
+description = "Gradio demo for VoiceFixer: Toward General Speech Restoration With Neural Vocoder. To use it, simply add your audio, or click one of the examples to load them. Read more at the links below."
+article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2109.13731' target='_blank'>VoiceFixer: Toward General Speech Restoration With Neural Vocoder</a> | <a href='https://github.com/haoheliu/voicefixer_main' target='_blank'>Github Repo</a></p>"
+examples=[['bruce.wav','2']]
+gr.Interface(inference, inputs, outputs, title=title, description=description, article=article, examples=examples, enable_queue=True).launch()