Update app.py
Browse files
app.py
CHANGED
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@@ -59,81 +59,81 @@ def Generate_Chords_Progression(total_song_length_in_chords_chunks,
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print('Generating...')
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print('=' * 70)
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matching_long_chords_chunks = []
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ridx = random.randint(0, len(all_long_chords_tokens_chunks)-1)
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matching_long_chords_chunks.append(ridx)
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max_song_len = 0
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tries = 0
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while len(matching_long_chords_chunks) < minimum_song_length_in_chords_chunks:
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matching_long_chords_chunks = []
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ridx = random.randint(0, len(all_long_chords_tokens_chunks)-1)
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matching_long_chords_chunks.append(ridx)
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break
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if len(matching_long_chords_chunks) > minimum_song_length_in_chords_chunks:
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break
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schunk = all_long_chords_tokens_chunks[matching_long_chords_chunks[-1]]
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trg_long_chunk = np.array(schunk[-chunk_size:])
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idxs = np.where((src_long_chunks == trg_long_chunk).all(axis=1))[0].tolist()
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if len(idxs) > 1:
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random.shuffle(idxs)
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eidxs = [i for i in idxs if i not in seen]
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if eidxs:
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eidx = eidxs[0]
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matching_long_chords_chunks.append(eidx)
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seen.append(eidx)
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gseen.append(eidx)
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if 0 < chords_chunks_memory_ratio < 1:
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seen = random.choices(gseen, k=math.ceil(len(gseen) * chords_chunks_memory_ratio))
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elif chords_chunks_memory_ratio == 0:
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seen = []
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gseen.pop()
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matching_long_chords_chunks.pop()
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if len(matching_long_chords_chunks) > max_song_len:
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print('Current song length:', len(matching_long_chords_chunks), 'chords chunks')
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print('=' * 70)
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final_song = matching_long_chords_chunks
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max_song_len = max(max_song_len, len(matching_long_chords_chunks))
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tries += 1
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if tries % 500 == 0:
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print('Number of passed tries:', tries)
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print('=' * 70)
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if len(matching_long_chords_chunks) > max_song_len:
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print(len(matching_long_chords_chunks))
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final_song = matching_long_chords_chunks
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f_song = []
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print('Generating...')
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print('=' * 70)
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matching_long_chords_chunks = []
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ridx = random.randint(0, len(all_long_chords_tokens_chunks)-1)
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matching_long_chords_chunks.append(ridx)
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max_song_len = 0
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tries = 0
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while len(matching_long_chords_chunks) < minimum_song_length_in_chords_chunks:
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matching_long_chords_chunks = []
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ridx = random.randint(0, len(all_long_chords_tokens_chunks)-1)
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matching_long_chords_chunks.append(ridx)
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seen = [ridx]
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gseen = [ridx]
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for a in range(minimum_song_length_in_chords_chunks * 10):
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if not matching_long_chords_chunks:
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break
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if len(matching_long_chords_chunks) > minimum_song_length_in_chords_chunks:
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break
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schunk = all_long_chords_tokens_chunks[matching_long_chords_chunks[-1]]
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trg_long_chunk = np.array(schunk[-chunk_size:])
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idxs = np.where((src_long_chunks == trg_long_chunk).all(axis=1))[0].tolist()
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if len(idxs) > 1:
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random.shuffle(idxs)
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eidxs = [i for i in idxs if i not in seen]
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if eidxs:
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eidx = eidxs[0]
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matching_long_chords_chunks.append(eidx)
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seen.append(eidx)
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gseen.append(eidx)
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if 0 < chords_chunks_memory_ratio < 1:
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seen = random.choices(gseen, k=math.ceil(len(gseen) * chords_chunks_memory_ratio))
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elif chords_chunks_memory_ratio == 0:
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seen = []
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else:
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gseen.pop()
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matching_long_chords_chunks.pop()
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else:
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gseen.pop()
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matching_long_chords_chunks.pop()
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if len(matching_long_chords_chunks) > max_song_len:
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print('Current song length:', len(matching_long_chords_chunks), 'chords chunks')
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print('=' * 70)
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final_song = matching_long_chords_chunks
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max_song_len = max(max_song_len, len(matching_long_chords_chunks))
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tries += 1
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if tries % 500 == 0:
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print('Number of passed tries:', tries)
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print('=' * 70)
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if len(matching_long_chords_chunks) > max_song_len:
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print('Current song length:', len(matching_long_chords_chunks), 'chords chunks')
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print('=' * 70)
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final_song = matching_long_chords_chunks
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f_song = []
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