Update app.py

app.py

@@ -204,6 +204,10 @@ def ClassifyMIDI(input_midi):
     
     #===============================================================================
     print('Rendering results...')
+
+    score_idx = processed_scores_labels.index(classifier_labels[0][final_result-384])
+
+    output = processed_score[score_idx][1]
     
     print('=' * 70)
     print('Sample INTs', output[:15])
@@ -211,13 +215,14 @@ def ClassifyMIDI(input_midi):
     
     out1 = output
 
-    fn1 = "Melody2Song-Seq2Seq-Music-Transformer-Composition"
+    fn1 = processed_score[score_idx][0]
     
     detailed_stats = TMIDIX.Tegridy_ms_SONG_to_MIDI_Converter(song_f,
                                                               output_signature = 'Advanced MIDI Classifier',
                                                               output_file_name = fn1,
                                                               track_name='Project Los Angeles',
-                                                              list_of_MIDI_patches=patches
+                                                              list_of_MIDI_patches=patches,
+                                                              timings_multiplier=16
                                                               )
     
     new_fn = fn1+'.mid'
@@ -236,11 +241,11 @@ def ClassifyMIDI(input_midi):
     #========================================================
 
     output_midi_title = str(fn1)
-    output_midi_summary = str(song_f[:3])
+    output_midi_summary = str('Summary')
     output_midi = str(new_fn)
     output_audio = (16000, audio)
     
-    output_plot = TMIDIX.plot_ms_SONG(song_f, plot_title=output_midi, return_plt=True)
+    output_plot = TMIDIX.plot_ms_SONG(song_f, plot_title=output_midi, return_plt=True, timings_multiplier=16)
 
     print('Output MIDI file name:', output_midi)
     print('Output MIDI title:', output_midi_title)
@@ -271,12 +276,11 @@ if __name__ == "__main__":
 
     print('Loading Annotated MIDI Dataset processed scores...')
     processed_scores = TMIDIX.Tegridy_Any_Pickle_File_Reader('processed_scores')
-    print(processed_scores[0][0])
+    processed_scores_labels = [l[0] for l in processed_scores]
     print('=' * 70)
 
     print('Loading Annotated MIDI Dataset Classifier Songs Artists Labels...')
     classifier_labels = TMIDIX.Tegridy_Any_Pickle_File_Reader('Annotated_MIDI_Dataset_Classifier_Songs_Artists_Labels')
-    print(classifier_labels[0])
     print('=' * 70)
 
     app = gr.Blocks()