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floriangardin
commited on
Commit
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d8926bd
1
Parent(s):
d3f08d7
add basic application
Browse files- .gitignore +3 -0
- app.py +42 -0
- packages.txt +2 -0
- requirements.txt +3 -0
.gitignore
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.idea/
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*.mid
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app.py
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import gradio as gr
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from musiclang_predict import MusicLangPredictor # Assuming this is the correct import
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from midi2audio import FluidSynth
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import os
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def musiclang():
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nb_tokens = 1024
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temperature = 0.9
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top_p = 1.0
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seed = 16
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# Initialize the MusicLangPredictor
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ml = MusicLangPredictor('musiclang/musiclang-v2')
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# Generate the score
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score = ml.predict(nb_tokens=nb_tokens, temperature=temperature, topp=top_p, rng_seed=seed)
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# Save the score as a MIDI file
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midi_path = 'test.mid'
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score.to_midi(midi_path)
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# Convert MIDI to WAV then WAV to MP3
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wav_path = 'result.wav'
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mp3_path = 'result.mp3'
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FluidSynth("/usr/share/sounds/sf2/FluidR3_GM.sf2").midi_to_audio(midi_path, wav_path)
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os.system(f'ffmpeg -i {wav_path} -acodec libmp3lame -y -loglevel quiet -stats {mp3_path}')
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# Return the path to the MP3 for Gradio to display
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return mp3_path
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# Gradio interface
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iface = gr.Interface(
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fn=musiclang,
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inputs=None,
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outputs=gr.Audio(label="Generated Music"),
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title="Music Generation with MusicLang",
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description="Click the button to generate music."
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)
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iface.launch()
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packages.txt
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ffmpeg
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fluidsynth
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requirements.txt
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musiclang_predict==1.1.5
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pyFluidSynth
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midi2audio
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