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Browse files- app.py +51 -0
- package.txt +1 -0
- requirements.txt +4 -0
app.py
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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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import subprocess
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from audio_separator import Separator # Ensure this is correctly implemented
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def inference(audio):
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os.makedirs("out", exist_ok=True)
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audio_path = 'test.wav'
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write(audio_path, audio[0], audio[1])
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try:
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# Using subprocess.run for better control
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command = f"python3 -m demucs.separate -n htdemucs_6s -d cpu {audio_path} -o out"
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process = subprocess.run(command, shell=True, check=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
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print("Demucs script output:", process.stdout.decode())
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except subprocess.CalledProcessError as e:
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print("Error in Demucs script:", e.stderr.decode())
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return None
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try:
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# Separating the stems using your custom separator
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separator = Separator("./out/htdemucs_6s/test/vocals.wav", model_name='UVR_MDXNET_KARA_2', use_cuda=False, output_format='mp3')
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primary_stem_path, secondary_stem_path = separator.separate()
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except Exception as e:
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print("Error in custom separation:", str(e))
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return None
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# Collecting all file paths
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files = [f"./out/htdemucs_6s/test/{stem}.wav" for stem in ["vocals", "bass", "drums", "other", "piano", "guitar"]]
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files.extend([secondary_stem_path,primary_stem_path ])
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# Check if files exist
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existing_files = [file for file in files if os.path.isfile(file)]
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if not existing_files:
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print("No files were created.")
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return None
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return existing_files
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# Gradio Interface
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title = "Source Separation Demo"
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description = "Music Source Separation in the Waveform Domain. To use it, simply upload your audio."
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gr.Interface(
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inference,
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gr.components.Audio(type="numpy", label="Input"),
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[gr.components.Audio(type="filepath", label=stem) for stem in ["Full Vocals","Bass", "Drums", "Other", "Piano", "Guitar", "Lead Vocals", "Chorus" ]],
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title=title,
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description=description,
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).launch()
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package.txt
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ffmpeg
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requirements.txt
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@@ -0,0 +1,4 @@
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git+https://github.com/facebookresearch/demucs#egg=demucs
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scipy
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diffq
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audio-separator
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