asigalov61
commited on
Commit
•
71fb6fc
1
Parent(s):
b6793f7
Update app.py
Browse files
app.py
CHANGED
@@ -182,6 +182,87 @@ def Harmonize_Melody(input_src_midi,
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print('=' * 70)
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#===============================================================================
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print('Rendering results...')
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print('=' * 70)
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@@ -197,8 +278,10 @@ def Harmonize_Melody(input_src_midi,
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patches[2] = base_MIDI_patch_number
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patches[3] = melody_MIDI_patch_number
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-
for
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if 11 < s < 141:
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@@ -217,6 +300,8 @@ def Harmonize_Melody(input_src_midi,
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if base_MIDI_patch_number > -1:
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output_score.append(['note', time, dur, 2, chord[-1]+24, 120-chord[-1], base_MIDI_patch_number])
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fn1 = "Melody-Harmonizer-Transformer-Composition"
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detailed_stats = TMIDIX.Tegridy_ms_SONG_to_MIDI_Converter(output_score,
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print('=' * 70)
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#===============================================================================
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+
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def find_best_match(matches_indexes, previous_match_index):
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msigs = []
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for midx in matches_indexes:
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mat = all_chords_ptcs_chunks[midx]
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msig = []
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for m in mat:
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msig.extend([sum(m) / len(m), len(m)])
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msigs.append(msig)
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pmat = all_chords_ptcs_chunks[previous_match_index]
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psig = []
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for p in pmat:
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psig.extend([sum(p) / len(p), len(p)])
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dists = []
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for m in msigs:
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dists.append(TMIDIX.minkowski_distance(psig, m))
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min_dist = min(dists)
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min_dist_idx = dists.index(min_dist)
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return matches_indexes[min_dist_idx]
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#===============================================================================
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if texture_harmonized_chords:
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print('=' * 70)
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print('Texturing harmonized chords...')
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print('=' * 70)
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chunk_length = 2
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harm_chords = [TMIDIX.ALL_CHORDS_FILTERED[s-12] for s in song if 11 < s < 141]
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harm_toks = [TMIDIX.ALL_CHORDS_FILTERED.index(c) for c in harm_chords] + [TMIDIX.ALL_CHORDS_FILTERED.index(harm_chords[-1])] * (chunk_length - (len(harm_chords) % chunk_length))
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final_song = []
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trg_chunk = np.array(harm_toks[:chunk_length])
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sidxs = np.where((src_chunks == trg_chunk).all(axis=1))[0].tolist()
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sidx = random.choice(sidxs)
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pidx = sidx
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final_song.extend(all_chords_ptcs_chunks[sidx])
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for i in tqdm.tqdm(range(chunk_length, len(harm_toks), chunk_length)):
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trg_chunk = np.array(harm_toks[i:i+chunk_length])
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sidxs = np.where((src_chunks == trg_chunk).all(axis=1))[0].tolist()
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if len(sidxs) > 0:
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sidx = find_best_match(sidxs, pidx)
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pidx = sidx
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final_song.extend(all_chords_ptcs_chunks[sidx])
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else:
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print('Dead end!')
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break
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final_song = final_song[:len(harm_chords)]
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print('=' * 70)
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print(len(final_song))
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print('=' * 70)
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print('Done!')
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print('=' * 70)
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print('Rendering results...')
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print('=' * 70)
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patches[2] = base_MIDI_patch_number
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patches[3] = melody_MIDI_patch_number
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i = 0
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for s in song:
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if 11 < s < 141:
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if base_MIDI_patch_number > -1:
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output_score.append(['note', time, dur, 2, chord[-1]+24, 120-chord[-1], base_MIDI_patch_number])
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i += 1
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fn1 = "Melody-Harmonizer-Transformer-Composition"
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detailed_stats = TMIDIX.Tegridy_ms_SONG_to_MIDI_Converter(output_score,
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