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import os
import gradio as gr
from scipy.io.wavfile import write
from gradio import components
def inference(audio):
os.makedirs("out", exist_ok=True)
write('test.wav', audio[0], audio[1])
os.system("python3 -m demucs.separate -n mdx_extra_q -d cpu test.wav -o out")
time.sleep(5) # wait for 5 seconds
return "./out/mdx_extra_q/test/vocals.wav","./out/mdx_extra_q/test/bass.wav",\
"./out/mdx_extra_q/test/drums.wav","./out/mdx_extra_q/test/other.wav"
title = "Demucs"
description = "Forked from here https://huggingface.co/spaces/akhaliq/demucs/ and changed to updated demucs pip source. 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."
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>"
examples=[['test.mp3']]
gr.Interface(
inference,
components.Audio(type="numpy", label="Input"),
[
components.Audio(type="filepath", label="Vocals"),
components.Audio(type="filepath", label="Bass"),
components.Audio(type="filepath", label="Drums"),
components.Audio(type="filepath", label="Other")
],
title=title,
description=description,
article=article,
examples=examples
).launch(enable_queue=True)