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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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from pydub import AudioSegment |
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def wav_to_mp3(wav_path, mp3_path, bitrate="128k"): |
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audio = AudioSegment.from_wav(wav_path) |
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audio.export(mp3_path, format="mp3", bitrate=bitrate) |
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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 htdemucs --two-stems=vocals test.wav -o out") |
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vocals_wav = "./out/htdemucs/test/vocals.wav" |
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no_vocals_wav = "./out/htdemucs/test/no_vocals.wav" |
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vocals_mp3 = "./out/htdemucs/test/vocals.mp3" |
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no_vocals_mp3 = "./out/htdemucs/test/no_vocals.mp3" |
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wav_to_mp3(vocals_wav, vocals_mp3) |
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wav_to_mp3(no_vocals_wav, no_vocals_mp3) |
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return vocals_mp3, no_vocals_mp3 |
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title = "Demucs Music Source Separation (v4)" |
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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> | <a href='https://www.thafx.com' target='_blank'>//THAFX</a></p>" |
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gr.Interface( |
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inference, |
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gr.Audio(type="numpy", label="Input"), |
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[gr.Audio(type="filepath", label="Vocals"),gr.Audio(type="filepath", label="No Vocals / Instrumental")], |
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title=title, |
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article=article, |
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).launch() |
