# ================================================================================================= # https://huggingface.co/spaces/asigalov61/MIDI-Chords-Mixer # ================================================================================================= import time as reqtime import datetime from pytz import timezone import copy import gradio as gr import random from midi_to_colab_audio import midi_to_colab_audio import TMIDIX # ================================================================================================= def Mix_Chords(input_output_as_solo_piano, input_remove_drums, input_output_tempo, input_transform, input_transpose_to_C4, input_transpose_value ): print('=' * 70) print('Req start time: {:%Y-%m-%d %H:%M:%S}'.format(datetime.datetime.now(PDT))) start_time = reqtime.time() print('=' * 70) print('-' * 70) print('Requested settings:') print('-' * 70) print('Output as Solo Piano:', input_output_as_solo_piano) print('Remove drums:', input_remove_drums) print('Output tempo:', input_output_tempo) print('Transform:', input_transform) print('Transpose to C4:', input_transpose_to_C4) print('Transpose value:', input_transpose_value) print('-' * 70) print('Loading source and target MIDIs...') #============================================================================================================= sidx = random.randint(0, len(all_chords_chunks)-1) src_score = all_chords_chunks[sidx] sfn = src_score[0] src_score_chords = src_score[1] src_escore_notes = [] for s in src_score_chords: chord_notes = [['note'] + list(c)[:2] + [(list(c)[2] // 16)+1] + list(c)[3:] + [list(c)[2]] for c in s] for c in chord_notes[1:]: c[1] = 0 src_escore_notes.extend(chord_notes) src_escore_notes = TMIDIX.recalculate_score_timings(TMIDIX.delta_score_to_abs_score(src_escore_notes)) src_cscore = TMIDIX.chordify_score([1000, src_escore_notes]) src_counts = [chunks_lens[sidx]] + chords_drums_counts[sidx] src_cidxs = all_chords_indexes[sidx] src_avg_time = TMIDIX.escore_notes_averages(src_escore_notes)[0] #============================================================================================================= sidx = random.randint(0, len(all_chords_chunks)-1) trg_score = all_chords_chunks[sidx] tfn = trg_score[0] trg_score_chords = trg_score[1] trg_escore_notes = [] for s in trg_score_chords: chord_notes = [['note'] + list(c)[:2] + [(list(c)[2] // 16)+1] + list(c)[3:] + [list(c)[2]] for c in s] for c in chord_notes[1:]: c[1] = 0 trg_escore_notes.extend(chord_notes) trg_escore_notes = TMIDIX.recalculate_score_timings(TMIDIX.delta_score_to_abs_score(trg_escore_notes)) trg_cscore = TMIDIX.chordify_score([1000, trg_escore_notes]) trg_counts = [chunks_lens[sidx]] + chords_drums_counts[sidx] trg_cidxs = all_chords_indexes[sidx] trg_avg_time = TMIDIX.escore_notes_averages(trg_escore_notes)[0] #============================================================================================================= print('=' * 70) print('Done loading source and target MIDIs...!') print('=' * 70) print('Mixing...') max_chords_count = min(src_counts[1], trg_counts[1]) mixed_score = [] cidx = 0 for i, c in enumerate(src_cscore): if i == src_cidxs[cidx]: stime = c[0][1] sdurs = [cc[2] for cc in c] tchord = copy.deepcopy(trg_cscore[trg_cidxs[cidx]]) sdurs = sdurs + random.choices(sdurs, k=abs(len(tchord)-len(c))) for j, n in enumerate(tchord): n[1] = stime n[2] = sdurs[j] mixed_score.extend(tchord) cidx += 1 if cidx == max_chords_count: break else: mixed_score.extend(c) print('=' * 70) print('Done!') print('=' * 70) #=============================================================================== if input_output_as_solo_piano: csong = TMIDIX.chordify_score([1000, mixed_score]) mixed_score = [] for c in csong: pitches = [] for cc in c: ccc = copy.deepcopy(cc) if cc[3] != 9: if cc[4] not in pitches: ccc[3] = 0 ccc[6] = 0 mixed_score.append(ccc) pitches.append(cc[4]) else: mixed_score.append(ccc) if input_remove_drums: mixed_score = [e for e in mixed_score if e[3] != 9] if input_output_tempo == 'Source MIDI': time_k = src_avg_time / trg_avg_time mixed_score = TMIDIX.adjust_escore_notes_timings(mixed_score, time_k) elif input_output_tempo == 'Target MIDI': time_k = trg_avg_time / src_avg_time mixed_score = TMIDIX.adjust_escore_notes_timings(mixed_score, time_k) if input_transform == 'Flip Mix': mixed_score = TMIDIX.flip_enhanced_score_notes(mixed_score) elif input_transform == 'Reverse Mix': mixed_score = TMIDIX.reverse_enhanced_score_notes(mixed_score) if input_transpose_value != 0: mixed_score = TMIDIX.transpose_escore_notes(mixed_score, input_transpose_value) if input_transpose_to_C4: mixed_score = TMIDIX.transpose_escore_notes_to_pitch(mixed_score) #=============================================================================== print('Rendering results...') print('=' * 70) print('Sample INTs', mixed_score[:5]) print('=' * 70) fn1 = 'MIDI_Chords_Mixer_' + sfn + '_' + tfn output_score, patches, overflow_patches = TMIDIX.patch_enhanced_score_notes(mixed_score) detailed_stats = TMIDIX.Tegridy_ms_SONG_to_MIDI_Converter(output_score, output_signature = 'MIDI Chords Mixer', 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 = 'Source MIDI MD5: ' + sfn + '\n' output_midi_summary += 'Target MIDI MD5: ' + tfn output_midi = str(new_fn) output_audio = (16000, audio) for o in output_score: o[1] *= 16 o[2] *= 16 output_plot = TMIDIX.plot_ms_SONG(output_score, plot_title=output_midi_title, return_plt=True) print('Output MIDI file name:', output_midi) print('Output MIDI title:', output_midi_title) print('Output MIDI summary:', 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" #===================================================================== all_chords_chunks = TMIDIX.Tegridy_Any_Pickle_File_Reader('Los_Angeles_Chords_Songs_MIDI_Dataset_79898_128_256') print('=' * 70) print('Prepping loaded data...') #===================================================================== chunks_lens = [len(a[1]) for a in all_chords_chunks] #===================================================================== chords_drums_counts = [] for a in all_chords_chunks: score = a[1] ccount = 0 dcount = 0 for s in score: if any(a[2] < 80 for a in s): ccount += 1 if all(a[2] == 128 for a in s): dcount += 1 chords_drums_counts.append([ccount, dcount]) #===================================================================== all_chords_indexes = [] for a in all_chords_chunks: score = a[1] chords_indexes = [] for i, s in enumerate(score): if any(a[2] < 80 for a in s): chords_indexes.append(i) all_chords_indexes.append(chords_indexes) #===================================================================== print('Done!') print('=' * 70) #===================================================================== app = gr.Blocks() with app: gr.Markdown("