!git clone --depth 1 https://github.com/asigalov61/tegridy-tools
import TMIDIX
import random
import tqdm
semantic_scores, scores_dict, words_dict = TMIDIX.Tegridy_Any_Pickle_File_Reader('Semantic_Music_TP_TPV_Chords_No_Velocity')
#===============================================================================
print('=' * 70)
semantic_score = random.choice(semantic_scores)
chords_dict = [s[1] for s in scores_dict]
delta_chords_score = []
for s in tqdm.tqdm(semantic_score):
for ss in s:
idx = chords_dict.index(ss)
chord = scores_dict[idx][0]
delta_chords_score.append(chord)
print('=' * 70)
#===============================================================================
song_f = []
time = 0
dur = 1
vel = 90
pitch = 60
channel = 0
for s in delta_chords_score:
time += s[0] * 32
for i in range(1, len(s), 2):
dur = s[i] * 32
ptc = s[i+1]
vel = max(40, ptc)
song_f.append(['note', time, dur, channel, ptc, vel, 0])
data = TMIDIX.Tegridy_ms_SONG_to_MIDI_Converter(song_f,
output_signature = 'Semantic Music',
output_file_name = '/content/Semantic-Music-Composition',
track_name='Project Los Angeles',
)
print('=' * 70)
