Update app.py

app.py

@@ -102,6 +102,14 @@ def ID_MIDI(input_midi):
     output_midi_records_count = 0
     output_midi_src_dataset= 'Unknown'
     output_midi_path_str = 'None'
+
+    raw_score = TMIDIX.midi2single_track_ms_score(fdata)
+    escore_notes = TMIDIX.advanced_score_processor(raw_score, return_enhanced_score_notes=True)[0]
+    escore_notes = TMIDIX.augment_enhanced_score_notes(escore_notes, sort_drums_last=True)
+
+    output_midi_src_dataset = 'unknown'
+    output_midi_path_str = 'none'
+    song_description = TMIDIX.escore_notes_to_text_description(escore_notes)
     
     if new_midi_md5hash in midid_md5_hashes:
 
@@ -117,22 +125,16 @@ def ID_MIDI(input_midi):
 
         output_midi_path_str = output_entry[1]
 
-    else:
-
-        raw_score = TMIDIX.midi2single_track_ms_score(fdata)
-        escore_notes = TMIDIX.advanced_score_processor(raw_score, return_enhanced_score_notes=True)[0]
-        escore_notes = TMIDIX.augment_enhanced_score_notes(escore_notes, sort_drums_last=True)
-
-        output_midi_src_dataset = 'unknown'
-        output_midi_path_str = TMIDIX.escore_notes_to_text_description(escore_notes)
-
     client = InferenceClient(api_key=HF_TOKEN)
 
     prompt = "Please create a summary table for a MIDI file based on the following keywords strings, best possible description and best possible summary fields. Please respond with the table only. Do not say anything else. Thank you."
     
-    data = 'Source MIDI dataset: ' + output_midi_src_dataset + '\n'
-    data += 'Keywords strings:' + '\n'
-    data += output_midi_path_str
+    data = 'Source MIDI dataset: ' + output_midi_src_dataset + '\n\n'
+    data += 'MIDI keywords strings:' + '\n'
+    data += output_midi_path_str + '\n\n'
+    data += 'Music description:' + '\n'
+    data += song_description
+
     
     messages = [
         {