Duplicate from akhaliq/VoiceFixer

Co-authored-by: AK <akhaliq@users.noreply.huggingface.co>

.gitattributes

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README.md

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+---
+title: VoiceFixer
+emoji: 💩
+colorFrom: indigo
+colorTo: purple
+sdk: gradio
+app_file: app.py
+pinned: false
+duplicated_from: akhaliq/VoiceFixer
+---
+
+# Configuration
+
+`title`: _string_  
+Display title for the Space
+
+`emoji`: _string_  
+Space emoji (emoji-only character allowed)
+
+`colorFrom`: _string_  
+Color for Thumbnail gradient (red, yellow, green, blue, indigo, purple, pink, gray)
+
+`colorTo`: _string_  
+Color for Thumbnail gradient (red, yellow, green, blue, indigo, purple, pink, gray)
+
+`sdk`: _string_  
+Can be either `gradio` or `streamlit`
+
+`sdk_version` : _string_  
+Only applicable for `streamlit` SDK.  
+See [doc](https://hf.co/docs/hub/spaces) for more info on supported versions.
+
+`app_file`: _string_  
+Path to your main application file (which contains either `gradio` or `streamlit` Python code).  
+Path is relative to the root of the repository.
+
+`pinned`: _boolean_  
+Whether the Space stays on top of your list.

app.py

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+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()

packages.txt

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+libsndfile1

requirements.txt

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+voicefixer