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import time as reqtime |
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import datetime |
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from pytz import timezone |
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import copy |
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import gradio as gr |
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from x_transformer_1_23_2 import * |
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import random |
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from midi_to_colab_audio import midi_to_colab_audio |
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import TMIDIX |
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import matplotlib.pyplot as plt |
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def Generate_Melody(input_midi, |
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input_find_best_match, |
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input_adjust_melody_notes_durations, |
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input_adjust_accompaniment_notes_durations, |
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input_output_as_solo_piano, |
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input_remove_drums, |
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input_output_tempo, |
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input_transform, |
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input_transpose_to_C4, |
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input_transpose_value |
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): |
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print('=' * 70) |
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print('Req start time: {:%Y-%m-%d %H:%M:%S}'.format(datetime.datetime.now(PDT))) |
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start_time = reqtime.time() |
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print('=' * 70) |
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fn = os.path.basename(input_midi.name) |
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fn1 = fn.split('.')[0] |
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print('-' * 70) |
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print('Requested settings:') |
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print('-' * 70) |
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print('Input file name:', fn) |
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print('Find best matches', input_find_best_match) |
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print('Adjust melody notes durations:', input_adjust_melody_notes_durations) |
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print('Adjust accompaniment notes durations:', input_adjust_accompaniment_notes_durations) |
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print('Output as Solo Piano:', input_output_as_solo_piano) |
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print('Remove drums:', input_remove_drums) |
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print('Output tempo:', input_output_tempo) |
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print('Transform:', input_transform) |
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print('Transpose to C4:', input_transpose_to_C4) |
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print('Transpose value:', input_transpose_value) |
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print('-' * 70) |
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raw_score = TMIDIX.midi2single_track_ms_score(input_midi.name) |
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raw_escore = TMIDIX.advanced_score_processor(raw_score, return_enhanced_score_notes=True)[0] |
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if len(raw_escore) > 0: |
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src_escore = TMIDIX.recalculate_score_timings(TMIDIX.augment_enhanced_score_notes([e for e in raw_escore if e[6] < 80])) |
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src_cscore = TMIDIX.chordify_score([1000, src_escore]) |
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src_melody = [c[0] for c in src_cscore][:256] |
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if input_transform == 'Flip Melody': |
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src_melody = TMIDIX.flip_enhanced_score_notes(src_melody) |
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elif input_transform == 'Reverse Melody': |
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src_melody = TMIDIX.reverse_enhanced_score_notes(src_melody) |
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mel_avg_time = TMIDIX.escore_notes_averages(src_melody)[0] |
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src_melody_pitches = [p[4] for p in src_melody] |
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src_harm_tones_chords = TMIDIX.harmonize_enhanced_melody_score_notes(src_melody) |
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matched_songs = [a for a in all_songs if a[2] == max(32, len(src_melody))] |
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random.shuffle(matched_songs) |
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max_match_ratio = -1 |
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max_match_ratios_count = len(matched_songs) |
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if input_find_best_match: |
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new_song, max_match_ratio, max_match_ratios_count = find_similar_song(matched_songs, src_melody) |
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else: |
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new_song = random.choice(matched_songs) |
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print('Selected Monster Mono Melodies MIDI:', new_song[0]) |
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print('Selected melody match ratio:', max_match_ratio) |
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print('Selected melody instrument:', TMIDIX.Number2patch[new_song[1]], '(', new_song[1], ')') |
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print('Melody notes count:', new_song[2]) |
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print('Matched melodies pool count', max_match_ratios_count) |
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MIDI_Summary = 'Selected Monster Mono Melodies MIDI: ' + str(new_song[0]) + '\n' |
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MIDI_Summary += 'Selected melody match ratio: ' + str(max_match_ratio) + '\n' |
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MIDI_Summary += 'Selected melody instrument: ' + str(TMIDIX.Number2patch[new_song[1]]) + ' (' + str(new_song[1]) + ')' + '\n' |
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MIDI_Summary += 'Melody notes count: ' + str(new_song[2]) + '\n' |
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MIDI_Summary += 'Matched melodies pool count: ' + str(max_match_ratios_count) |
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fn1 += '_' + str(new_song[0]) + '_' + str(TMIDIX.Number2patch[new_song[1]]) + '_' + str(new_song[1]) + '_' + str(new_song[2]) |
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trg_patch = new_song[1] |
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trg_song = copy.deepcopy(new_song[3]) |
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mix_avg_time = TMIDIX.escore_notes_averages(trg_song)[0] |
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mix_mel_avg_time = TMIDIX.escore_notes_averages([e for e in trg_song if e[6] == trg_patch])[0] |
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TMIDIX.adjust_score_velocities(trg_song, 95) |
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cscore = TMIDIX.chordify_score([1000, trg_song]) |
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print('=' * 70) |
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print('Done loading source and target MIDIs...!') |
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print('=' * 70) |
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print('Mixing...') |
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mixed_song = [] |
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midx = 0 |
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next_note_dtime = 255 |
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for i, c in enumerate(cscore): |
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cho = copy.deepcopy(c) |
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patches = sorted(set([e[6] for e in c])) |
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if trg_patch in patches: |
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if input_adjust_melody_notes_durations: |
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if midx < len(src_melody)-1: |
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next_note_dtime = src_melody[midx+1][1] - src_melody[midx][1] |
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else: |
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next_note_dtime = 255 |
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mixed_song.extend(mix_chord(c, src_harm_tones_chords[midx], trg_patch, src_melody_pitches[midx], next_note_dtime)) |
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midx += 1 |
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else: |
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if input_adjust_accompaniment_notes_durations: |
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if i < len(cscore)-1: |
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next_note_dtime = cscore[i+1][0][1] - cscore[i][0][1] |
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else: |
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next_note_dtime = 255 |
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mixed_song.extend(mix_chord(cho, src_harm_tones_chords[midx], trg_patch, src_melody_pitches[midx], next_note_dtime)) |
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if midx == len(src_melody): |
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break |
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print('=' * 70) |
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print('Done!') |
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print('=' * 70) |
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if input_output_as_solo_piano: |
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csong = TMIDIX.chordify_score([1000, mixed_song]) |
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mixed_song = [] |
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for c in csong: |
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pitches = [e[4] for e in c if e[6] == trg_patch] |
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for cc in c: |
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ccc = copy.deepcopy(cc) |
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if cc[3] != 9: |
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if cc[6] == trg_patch: |
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ccc[3] = 3 |
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ccc[6] = 0 |
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mixed_song.append(ccc) |
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else: |
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if cc[4] not in pitches: |
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ccc[3] = 0 |
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ccc[6] = 0 |
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mixed_song.append(ccc) |
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pitches.append(cc[4]) |
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else: |
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mixed_song.append(ccc) |
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if input_remove_drums: |
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mixed_song = [e for e in mixed_song if e[3] != 9] |
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if input_output_tempo == 'Mix': |
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time_k = mel_avg_time / mix_avg_time |
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mixed_song = TMIDIX.adjust_escore_notes_timings(mixed_song, time_k) |
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elif input_output_tempo == 'Source Melody': |
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time_k = mel_avg_time / mix_mel_avg_time |
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mixed_song = TMIDIX.adjust_escore_notes_timings(mixed_song, time_k) |
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if input_transform == 'Flip Mix': |
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mixed_song = TMIDIX.flip_enhanced_score_notes(mixed_song) |
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elif input_transform == 'Reverse Mix': |
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mixed_song = TMIDIX.reverse_enhanced_score_notes(mixed_song) |
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if input_transpose_value != 0: |
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mixed_song = TMIDIX.transpose_escore_notes(mixed_song, input_transpose_value) |
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if input_transpose_to_C4: |
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mixed_song = TMIDIX.transpose_escore_notes_to_pitch(mixed_song) |
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print('Rendering results...') |
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print('=' * 70) |
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print('Sample INTs', mixed_song[:5]) |
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print('=' * 70) |
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output_score, patches, overflow_patches = TMIDIX.patch_enhanced_score_notes(mixed_song) |
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detailed_stats = TMIDIX.Tegridy_ms_SONG_to_MIDI_Converter(output_score, |
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output_signature = 'Harmonic Melody MIDI Mixer', |
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output_file_name = fn1, |
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track_name='Project Los Angeles', |
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list_of_MIDI_patches=patches, |
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timings_multiplier=16 |
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) |
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new_fn = fn1+'.mid' |
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audio = midi_to_colab_audio(new_fn, |
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soundfont_path=soundfont, |
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sample_rate=16000, |
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volume_scale=10, |
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output_for_gradio=True |
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) |
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print('Done!') |
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print('=' * 70) |
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output_midi_title = str(fn1) |
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output_midi_summary = str(MIDI_Summary) |
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output_midi = str(new_fn) |
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output_audio = (16000, audio) |
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for o in output_score: |
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o[1] *= 16 |
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o[2] *= 16 |
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output_plot = TMIDIX.plot_ms_SONG(output_score, plot_title=output_midi_title, return_plt=True) |
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print('Output MIDI file name:', output_midi) |
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print('Output MIDI title:', output_midi_title) |
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print('Output MIDI summary:', MIDI_Summary) |
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print('=' * 70) |
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print('-' * 70) |
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print('Req end time: {:%Y-%m-%d %H:%M:%S}'.format(datetime.datetime.now(PDT))) |
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print('-' * 70) |
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print('Req execution time:', (reqtime.time() - start_time), 'sec') |
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return output_midi_title, output_midi_summary, output_midi, output_audio, output_plot |
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if __name__ == "__main__": |
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PDT = timezone('US/Pacific') |
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print('=' * 70) |
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print('App start time: {:%Y-%m-%d %H:%M:%S}'.format(datetime.datetime.now(PDT))) |
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print('=' * 70) |
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soundfont = "SGM-v2.01-YamahaGrand-Guit-Bass-v2.7.sf2" |
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app = gr.Blocks() |
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with app: |
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gr.Markdown("<h1 style='text-align: center; margin-bottom: 1rem'>Parsons Code Melody Transformer</h1>") |
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gr.Markdown("<h1 style='text-align: center; margin-bottom: 1rem'>Generate unique melodies from Parsons codes</h1>") |
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gr.Markdown( |
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"\n\n" |
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"This is a demo for Clean Melodies subset of Tegridy MIDI Dataset\n\n" |
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"Check out [Tegridy MIDI Dataset](https://github.com/asigalov61/Tegridy-MIDI-Dataset) on GitHub!\n\n" |
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) |
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gr.Markdown("## Enter Parsons code below") |
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input_parsons_code = gr.Textbox(label="Enter your Parsons code here", |
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info="Make sure your code starts with *", |
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lines=1, |
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value="*", |
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), |
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gr.Markdown("## Select generation options") |
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input_first_note_duration = gr.Slider(1, 127, value=15, step=1, label="First note duration value") |
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iinput_first_note_MIDI_pitch = gr.Slider(1, 127, value=60, step=1, label="First note MIDI pitch") |
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run_btn = gr.Button("Generate melody", variant="primary") |
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clear_btn = gr.ClearButton(components=[input_parsons_code]) |
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gr.Markdown("## Output results") |
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output_midi_title = gr.Textbox(label="Output MIDI title") |
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output_midi_summary = gr.Textbox(label="Output MIDI summary") |
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output_audio = gr.Audio(label="Output MIDI audio", format="mp3", elem_id="midi_audio") |
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output_plot = gr.Plot(label="Output MIDI score plot") |
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output_midi = gr.File(label="Output MIDI file", file_types=[".mid"]) |
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run_event = run_btn.click(Generate_Melody, [input_parsons_code, |
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input_first_note_duration, |
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iinput_first_note_MIDI_pitch, |
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], |
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[output_midi_title, output_midi_summary, output_midi, output_audio, output_plot]) |
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gr.Examples( |
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[["*UUUUUUUDDDDDDDUUUUUUUDDDDDDDUUUUUUUDDDDDDDUUUUUUUDDDDDDDUUUUUUU", 15, 60], |
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], |
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[input_parsons_code, |
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input_first_note_duration, |
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iinput_first_note_MIDI_pitch, |
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], |
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[output_midi_title, output_midi_summary, output_midi, output_audio, output_plot], |
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Generate_Melody, |
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cache_examples=True, |
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) |
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app.queue().launch() |
