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add app.py
Browse files- app.py +72 -0
- requirements.txt +6 -0
app.py
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import gradio as gr
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import os
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import re
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import subprocess
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import time
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from symusic import Score, Synthesizer, BuiltInSF3, dump_wav
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import torchaudio
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import torch
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import music21
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def convert_midi_to_svg(midi_file_path, output_svg_path):
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# Load MIDI file
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midi_stream = music21.converter.parse(midi_file_path)
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# Convert MIDI to MusicXML
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musicxml_string = midi_stream.write('musicxml')
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# Load MusicXML string
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score = music21.converter.parseData(musicxml_string)
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# Convert MusicXML to SVG
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svg_string = score.write('musicxml.png', fmt='musicxml', subformats=['svg'])
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# Write SVG to file
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with open(output_svg_path, 'wb') as f:
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f.write(svg_string)
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return output_svg_path
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def parse_abc_notation(text="", conversation_id='1'):
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os.makedirs(f"tmp/{conversation_id}", exist_ok=True)
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ts = time.time()
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abc_pattern = r'(X:\d+\n(?:[^\n]*\n)+)'
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abc_notation = re.findall(abc_pattern, text+'\n')
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print(f'extract abc block: {abc_notation}')
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if abc_notation:
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# Convert ABC to midi
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s = Score.from_abc(abc_notation[0])
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wav_file = f'tmp/{conversation_id}/{ts}.mp3'
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audio = Synthesizer().render(s, stereo=True)
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torchaudio.save(wav_file, torch.FloatTensor(audio), 44100)
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# Convert abc notation to SVG
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tmp_midi = f'tmp/{conversation_id}/{ts}.mid'
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midi_file = s.dump_midi(tmp_midi)
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svg_file = f'tmp/{conversation_id}/{ts}.svg'
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convert_midi_to_svg(tmp_midi, svg_file)
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return svg_file, wav_file
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else:
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return None, None
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gradio_app = gr.Interface(
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parse_abc_notation,
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inputs=["text"],
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outputs=[gr.Image(label="Processed Image"), gr.Audio(label="Result")],
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title="Hot Dog? Or Not?",
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)
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def greet(name, intensity):
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return "Hello, " + name + "!" * int(intensity)
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demo = gr.Interface(
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fn=greet,
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inputs=["text", "slider"],
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outputs=["text"],
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)
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demo.launch()
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if __name__ == "__main__":
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gradio_app.launch()
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requirements.txt
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gradio==4.19.2
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music21==9.1.0
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symusic==0.4.2
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torch==2.2.1
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torchaudio==2.2.1
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transformers==4.32.0
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