Duplicate from akhaliq/Spleeter

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

.gitattributes

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+*.bin.* filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tar.gz filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+title: Spleeter
+emoji: 💻
+colorFrom: purple
+colorTo: blue
+sdk: gradio
+app_file: app.py
+pinned: false
+duplicated_from: akhaliq/Spleeter
+---
+
+# 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", type="file"),
+          gr.inputs.Radio(label="Instrument", choices=["vocals", "accompaniment"], type="value")
+]
+outputs =  [
+  gr.outputs.Audio(label="Output Audio", type="file"),
+  gr.outputs.File(label="Output File")
+]
+
+title = "Spleeter"
+description = "Gradio demo for Spleeter: a fast and efficient music source separation tool with pre-trained models. 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://research.deezer.com/projects/spleeter.html'>Spleeter: a Fast and Efficient Music Source Separation Tool with Pre-Trained Models</a> | <a href='https://github.com/deezer/spleeter'>Github Repo</a></p>"
+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