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| import os.path | |
| import time as reqtime | |
| import datetime | |
| from pytz import timezone | |
| import gradio as gr | |
| import random | |
| import tqdm | |
| from midi_to_colab_audio import midi_to_colab_audio | |
| import TMIDIX | |
| import matplotlib.pyplot as plt | |
| in_space = os.getenv("SYSTEM") == "spaces" | |
| # ================================================================================================= | |
| def GenerateAccompaniment(input_midi, input_num_tokens, input_conditioning_type, input_strip_notes): | |
| print('=' * 70) | |
| print('Req start time: {:%Y-%m-%d %H:%M:%S}'.format(datetime.datetime.now(PDT))) | |
| start_time = reqtime.time() | |
| print('=' * 70) | |
| fn = os.path.basename(input_midi.name) | |
| fn1 = fn.split('.')[0] | |
| input_num_tokens = max(4, min(128, input_num_tokens)) | |
| print('-' * 70) | |
| print('Input file name:', fn) | |
| print('Req num toks:', input_num_tokens) | |
| print('Conditioning type:', input_conditioning_type) | |
| print('Strip notes:', input_strip_notes) | |
| print('-' * 70) | |
| #=============================================================================== | |
| raw_score = TMIDIX.midi2single_track_ms_score(input_midi.name) | |
| #=============================================================================== | |
| # Enhanced score notes | |
| escore_notes = TMIDIX.advanced_score_processor(raw_score, return_enhanced_score_notes=True)[0] | |
| if len(escore_notes) > 0: | |
| #======================================================= | |
| # PRE-PROCESSING | |
| #=============================================================================== | |
| # Augmented enhanced score notes | |
| escore_notes = TMIDIX.augment_enhanced_score_notes(escore_notes) | |
| #=============================================================================== | |
| # Recalculate timings | |
| escore_notes = TMIDIX.recalculate_score_timings(escore_notes) | |
| #=============================================================================== | |
| # Add melody | |
| output = TMIDIX.add_melody_to_enhanced_score_notes(escore_notes, melody_channel=15, melody_start_chord=15) | |
| print('=' * 70) | |
| print('Done!') | |
| print('=' * 70) | |
| #=============================================================================== | |
| print('Rendering results...') | |
| print('=' * 70) | |
| print('Sample INTs', output[:12]) | |
| print('=' * 70) | |
| output_score, patches, overflow_patches = TMIDIX.patch_enhanced_score_notes(output) | |
| fn1 = "Chords-Progressions-Transformer-Composition" | |
| detailed_stats = TMIDIX.Tegridy_ms_SONG_to_MIDI_Converter(output_score, | |
| output_signature = 'MIDI Melody', | |
| output_file_name = fn1, | |
| track_name='Project Los Angeles', | |
| list_of_MIDI_patches=patches, | |
| timings_multiplier=16 | |
| ) | |
| new_fn = fn1+'.mid' | |
| audio = midi_to_colab_audio(new_fn, | |
| soundfont_path=soundfont, | |
| sample_rate=16000, | |
| volume_scale=10, | |
| output_for_gradio=True | |
| ) | |
| print('Done!') | |
| print('=' * 70) | |
| #======================================================== | |
| output_midi_title = str(fn1) | |
| output_midi_summary = str(song_f[:3]) | |
| output_midi = str(new_fn) | |
| output_audio = (16000, audio) | |
| output_plot = TMIDIX.plot_ms_SONG(song_f, plot_title=output_midi, return_plt=True) | |
| print('Output MIDI file name:', output_midi) | |
| print('Output MIDI title:', output_midi_title) | |
| print('Output MIDI summary:', '') | |
| print('=' * 70) | |
| #======================================================== | |
| print('-' * 70) | |
| print('Req end time: {:%Y-%m-%d %H:%M:%S}'.format(datetime.datetime.now(PDT))) | |
| print('-' * 70) | |
| print('Req execution time:', (reqtime.time() - start_time), 'sec') | |
| return output_midi_title, output_midi_summary, output_midi, output_audio, output_plot | |
| # ================================================================================================= | |
| if __name__ == "__main__": | |
| PDT = timezone('US/Pacific') | |
| print('=' * 70) | |
| print('App start time: {:%Y-%m-%d %H:%M:%S}'.format(datetime.datetime.now(PDT))) | |
| print('=' * 70) | |
| soundfont = "SGM-v2.01-YamahaGrand-Guit-Bass-v2.7.sf2" | |
| app = gr.Blocks() | |
| with app: | |
| gr.Markdown("<h1 style='text-align: center; margin-bottom: 1rem'>MIDI Melody</h1>") | |
| gr.Markdown("<h1 style='text-align: center; margin-bottom: 1rem'>Add a unique melody to any MIDI</h1>") | |
| gr.Markdown( | |
| "\n\n" | |
| "This is a demo for TMIDIX Python module from tegridy-tools\n\n" | |
| "Check out [tegridy-tools](https://github.com/asigalov61/tegridy-tools) on GitHub!\n\n" | |
| ) | |
| gr.Markdown("## Upload your MIDI or select a sample example MIDI") | |
| input_midi = gr.File(label="Input MIDI", file_types=[".midi", ".mid", ".kar"]) | |
| input_num_tokens = gr.Slider(4, 128, value=32, step=1, label="Number of composition chords to generate progression for") | |
| input_conditioning_type = gr.Radio(["Chords", "Chords-Times", "Chords-Times-Durations"], label="Conditioning type") | |
| input_strip_notes = gr.Checkbox(label="Strip notes from the composition") | |
| run_btn = gr.Button("generate", variant="primary") | |
| gr.Markdown("## Generation results") | |
| output_midi_title = gr.Textbox(label="Output MIDI title") | |
| output_midi_summary = gr.Textbox(label="Output MIDI summary") | |
| output_audio = gr.Audio(label="Output MIDI audio", format="wav", elem_id="midi_audio") | |
| output_plot = gr.Plot(label="Output MIDI score plot") | |
| output_midi = gr.File(label="Output MIDI file", file_types=[".mid"]) | |
| run_event = run_btn.click(GenerateAccompaniment, [input_midi, input_num_tokens, input_conditioning_type, input_strip_notes], | |
| [output_midi_title, output_midi_summary, output_midi, output_audio, output_plot]) | |
| gr.Examples( | |
| [["Chords-Progressions-Transformer-Piano-Seed-1.mid", 128, "Chords", False], | |
| ["Chords-Progressions-Transformer-Piano-Seed-2.mid", 128, "Chords-Times", False], | |
| ["Chords-Progressions-Transformer-Piano-Seed-3.mid", 128, "Chords-Times-Durations", False], | |
| ["Chords-Progressions-Transformer-Piano-Seed-4.mid", 128, "Chords", False], | |
| ["Chords-Progressions-Transformer-Piano-Seed-5.mid", 128, "Chords-Times", False], | |
| ["Chords-Progressions-Transformer-Piano-Seed-6.mid", 128, "Chords-Times-Durations", False], | |
| ["Chords-Progressions-Transformer-MI-Seed-1.mid", 128, "Chords", False], | |
| ["Chords-Progressions-Transformer-MI-Seed-2.mid", 128, "Chords-Times", False], | |
| ["Chords-Progressions-Transformer-MI-Seed-3.mid", 128, "Chords-Times-Durations", False], | |
| ["Chords-Progressions-Transformer-MI-Seed-4.mid", 128, "Chords-Times", False], | |
| ["Chords-Progressions-Transformer-MI-Seed-5.mid", 128, "Chords", False], | |
| ["Chords-Progressions-Transformer-MI-Seed-6.mid", 128, "Chords-Times-Durations", False] | |
| ], | |
| [input_midi, input_num_tokens, input_conditioning_type, input_strip_notes], | |
| [output_midi_title, output_midi_summary, output_midi, output_audio, output_plot], | |
| GenerateAccompaniment, | |
| cache_examples=True, | |
| ) | |
| app.queue().launch() |