Update app.py

app.py

@@ -248,13 +248,7 @@ def select_best_output(outputs, embeddings, src_embeddings, top_k=10):
 #==================================================================================
 
 @spaces.GPU
-def Classify_MIDI_Genre(input_midi,
-                        input_melody,
-                        melody_patch,
-                        use_nth_note,
-                        model_temperature,
-                        model_sampling_top_k
-                       ):
+def Classify_MIDI_Genre(input_midi):
 
     #===============================================================================
 
@@ -282,7 +276,7 @@ def Classify_MIDI_Genre(input_midi,
 
     #===============================================================================
 
-    print('Loadin and prepping source MIDI...')
+    print('Loading and prepping source MIDI...')
 
     src_score = load_midi(input_midi.name)
 
@@ -461,25 +455,13 @@ with gr.Blocks() as demo:
     
     #==================================================================================
     
-    gr.Markdown("## Upload source melody MIDI or enter a search query for a sample melody below")
+    gr.Markdown("## Upload any MIDI or select an example MIDI below")
     
     input_midi = gr.File(label="Input MIDI", 
                          file_types=[".midi", ".mid", ".kar"]
                         )
-
-    input_melody = gr.Textbox(value="Hotel California", 
-                              label="Popular melodies database search query",
-                              info='If the query is not found, random melody will be selected. Custom MIDI overrides search query'
-                             )
-    
-    gr.Markdown("## Generation options")
-    
-    melody_patch = gr.Slider(-1, 127, value=-1, step=1, label="Source melody MIDI patch")
-    use_nth_note = gr.Slider(1, 8, value=1, step=1, label="Use each nth melody note")
-    model_temperature = gr.Slider(0.1, 1, value=0.9, step=0.01, label="Model temperature")
-    model_sampling_top_k = gr.Slider(1, 100, value=15, step=1, label="Model sampling top k value")
     
-    generate_btn = gr.Button("Generate", variant="primary")
+    generate_btn = gr.Button("Classify", variant="primary")
 
     gr.Markdown("## Generation results")
 
@@ -489,12 +471,7 @@ with gr.Blocks() as demo:
     output_midi = gr.File(label="MIDI file", file_types=[".mid"])
 
     generate_btn.click(Classify_MIDI_Genre, 
-                       [input_midi,
-                        input_melody,
-                        melody_patch,
-                        use_nth_note,
-                        model_temperature,
-                        model_sampling_top_k
+                       [input_midi
                        ], 
                        [output_title,
                         output_audio,