Duplicate from derina/MusicSpleeter

Co-authored-by: Derina <derina@users.noreply.huggingface.co>

.gitattributes

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README.md

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+---
+title: Music Spleeter
+emoji: 💻
+colorFrom: purple
+colorTo: blue
+sdk: gradio
+app_file: app.py
+pinned: false
+duplicated_from: derina/MusicSpleeter
+---
+
+# 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`
+
+`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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+from spleeter.separator import Separator
+import gradio as gr
+import shutil
+
+
+def spleeter(aud, instrument):
+  separator = Separator('spleeter:2stems')
+  try:
+    shutil.rmtree("output")   
+  except FileNotFoundError:
+    pass
+  separator.separate_to_file(aud.name, "output/", filename_format="audio_example/{instrument}.wav")
+  return f"./output/audio_example/{instrument}.wav", f"./output/audio_example/{instrument}.wav"
+
+inputs = [
+          gr.inputs.Audio(label="Input Audio File", type="file"),
+          gr.inputs.Radio(label="Output", choices=["accompaniment", "vocals"], type="value")
+]
+outputs =  [
+  gr.outputs.Audio(label="Output Audio", type="file"),
+  gr.outputs.File(label="Output File")
+]
+
+title = "Music Spleeter"
+description = "Clearing a musical composition of the performer's voice is a common task. It is solved well, for example, by professional audio file editing programs. AI algorithms have also been gaining ground recently."
+article = "<div style='text-align: center; max-width:800px; margin:10px auto;'><p>In this case we use Deezer's Spleeter with ready pretrained models. It can leave as an output both just the music and just the performer's voice.</p><p>Sources: <a href='https://github.com/deezer/spleeter/' target='_blank'>Spleeter</a>: a Fast and Efficient Music Source Separation Tool with Pre-Trained Models</p><p style='text-align: center'><a href='https://starstat.yt/cat/music' target='_blank'>StarStat Music</a>: Youtubers Net Worth in category Music</p></div>"
+examples = [
+    ["audio_example.mp3", "vocals"]
+]
+
+gr.Interface(spleeter, inputs, outputs, title=title, description=description, article=article, examples=examples).launch()

packages.txt

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+libsndfile1
+ffmpeg

requirements.txt

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+spleeter
+gradio