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import os |
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import gradio as gr |
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from scipy.io.wavfile import write |
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def inference(audio): |
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os.makedirs("out", exist_ok=True) |
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write('test.wav', audio[0], audio[1]) |
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os.system("python3 -m demucs.separate -n mdx_extra_q -d cpu test.wav -o out") |
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return "./out/mdx_extra_q/test/vocals.wav","./out/mdx_extra_q/test/bass.wav",\ |
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"./out/mdx_extra_q/test/drums.wav","./out/mdx_extra_q/test/other.wav" |
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title = "Demucs" |
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description = "Gradio demo for Demucs: Music Source Separation in the Waveform Domain. To use it, simply upload your audio, or click one of the examples to load them. Read more at the links below." |
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article = "<p style='text-align: center'><a href='https://arxiv.org/abs/1911.13254' target='_blank'>Music Source Separation in the Waveform Domain</a> | <a href='https://github.com/facebookresearch/demucs' target='_blank'>Github Repo</a></p>" |
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examples=[['test.mp3']] |
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gr.Interface( |
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inference, |
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gr.inputs.Audio(type="numpy", label="Input"), |
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[gr.outputs.Audio(type="filepath", label="Vocals"),gr.outputs.Audio(type="filepath", label="Bass"),gr.outputs.Audio(type="filepath", label="Drums"),gr.outputs.Audio(type="filepath", label="Other")], |
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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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).launch(enable_queue=True) |