asigalov61
commited on
Commit
•
ea63137
1
Parent(s):
df2f0e4
Update app.py
Browse files
app.py
CHANGED
@@ -36,8 +36,11 @@ def ClassifyMIDI(input_midi):
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fn = os.path.basename(input_midi.name)
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fn1 = fn.split('.')[0]
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print('
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print('
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print('=' * 70)
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print('Loading MIDI file...')
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@@ -113,16 +116,8 @@ def ClassifyMIDI(input_midi):
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print('Done!')
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print('=' * 70)
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print('Composition has', notes_counter, 'notes')
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print('=' * 70)
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print('=' * 70)
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print('Ultimate MIDI Classifier')
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print('=' * 70)
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print('
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print('=' * 70)
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print('Sampling score...')
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chunk_size = 1020
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@@ -142,14 +137,10 @@ def ClassifyMIDI(input_midi):
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td.extend([938])
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input_data.append(td)
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print('Done!')
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print('=' * 70)
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print('=' * 70)
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print('Number of notes in all composition samples:', len(input_data) * 340)
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print('=' * 70)
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#==============================================================
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classification_summary_string = '=' * 70
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@@ -157,13 +148,15 @@ def ClassifyMIDI(input_midi):
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print('Composition has', notes_counter, 'notes')
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print('=' * 70)
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print('Composition was split into' , len(input_data), '
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print('
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classification_summary_string += 'Composition has ' + str(notes_counter) + ' notes\n'
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classification_summary_string += '=' * 70
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classification_summary_string += '\n'
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classification_summary_string += 'Composition was split into ' +
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classification_summary_string += 'Number of notes in all composition chunks: ' + str(len(input_data) * 340) + '\n'
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classification_summary_string += '=' * 70
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classification_summary_string += '\n'
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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('Ultimate MIDI Classifier')
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print('=' * 70)
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print('Input MIDI file name:', fn)
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print('=' * 70)
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print('Loading MIDI file...')
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print('Done!')
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print('=' * 70)
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print('Sampling score...')
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chunk_size = 1020
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td.extend([938])
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input_data.append(td)
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print('Done!')
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print('=' * 70)
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#==============================================================
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classification_summary_string = '=' * 70
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print('Composition has', notes_counter, 'notes')
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print('=' * 70)
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print('Composition was split into' , len(input_data), 'samples', 'of 340 notes each with', 340 - chunk_size // classification_sampling_resolution // 3, 'notes overlap')
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print('=' * 70)
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print('Number of notes in all composition samples:', len(input_data) * 340)
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print('=' * 70)
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classification_summary_string += 'Composition has ' + str(notes_counter) + ' notes\n'
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classification_summary_string += '=' * 70
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classification_summary_string += '\n'
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classification_summary_string += 'Composition was split into ' + 'samples', 'of 340 notes each with', 340 - chunk_size // classification_sampling_resolution // 3, 'notes overlap\n'
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classification_summary_string += 'Number of notes in all composition chunks: ' + str(len(input_data) * 340) + '\n'
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classification_summary_string += '=' * 70
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classification_summary_string += '\n'
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