Duplicate from akhaliq/demucs

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

.gitattributes

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README.md

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+---
+title: Demucs
+emoji: ⚡
+colorFrom: pink
+colorTo: indigo
+sdk: gradio
+sdk_version: 3.15.0
+app_file: app.py
+pinned: false
+duplicated_from: akhaliq/demucs
+---
+
+# 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
+import gradio as gr
+from scipy.io.wavfile import write
+
+
+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")
+  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 = "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, 
+    gr.inputs.Audio(type="numpy", label="Input"), 
+    [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")],
+    title=title,
+    description=description,
+    article=article,
+    examples=examples
+    ).launch(enable_queue=True)

packages.txt

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+ffmpeg

requirements.txt

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+demucs
+scipy
+
+