Update app.py
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app.py
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import os
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import gradio as gr
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write('test.wav', audio[0], audio[1])
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os.system("python3 -m demucs.separate -n htdemucs --two-stems=vocals -d cpu test.wav -o out")
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return "./out/htdemucs/test/vocals.wav","./out/htdemucs/test/no_vocals.wav"
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title = "Ilaria UVR 💖"
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description = "Drag and drop an audio file to easily separate it! [Join AI Hub Discord Server](https://discord.gg/aihub).</p>"
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article = "Made with 💖 by Ilaria"
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examples=[['test.mp3']]
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title=title,
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description=description,
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article=article,
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examples=examples
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import gradio as gr
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import os
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def inference(input_file_path,model_name):
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if model_name == "":
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model_name = "htdemucs"
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# Make sure the output directory exists
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temp_dir = os.path.dirname(input_file_path)
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temp_out_dir = os.path.join(temp_dir, 'out')
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os.makedirs(f'{temp_out_dir}', exist_ok=True)
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print(input_file_path)
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# Define the output file paths
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filename = os.path.basename(input_file_path).split('.')[0]
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vocals_out = os.path.join(temp_out_dir, model_name,filename,"vocals.mp3")
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no_vocals_out = os.path.join(temp_out_dir, model_name,filename,"no_vocals.mp3")
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cmd = f'python -m demucs.separate -n {model_name} --mp3 --two-stems vocals -o {temp_out_dir} "{input_file_path}"'
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print(cmd)
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os.system(cmd)
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print("process finish:",vocals_out,no_vocals_out)
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# Return the paths of the output files
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return vocals_out, no_vocals_out
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title = "Facebook UVR Test"
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description = "Seperate vocals and music using UVR"
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article = "Made by line"
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examples=[['test.mp3']]
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# Create a Gradio interface
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demo = gr.Interface(
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fn=inference,
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inputs=[
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gr.Audio(type="filepath", label="Input Audio"),
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gr.Dropdown(["htdemucs", "htdemucs_ft", "htdemucs_6s", "piano"], label="Model Name")
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],
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outputs=[
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gr.Audio(type="filepath", label="Vocals out"),
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gr.Audio(type="filepath", label="Music out"),
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],
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title=title,
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description=description,
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article=article,
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examples=examples
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)
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if __name__ == "__main__":
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demo.launch()
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