Update app.py

app.py

@@ -432,9 +432,11 @@ def CompareMIDIs(input_src_midi, input_trg_midi, input_sampling_resolution, inpu
       inp = torch.LongTensor(inp).cuda()
     
       with ctx:
-        out = model(inp)
-        cache = out[2]
-        trg_embedings = cache.layer_hiddens[-1]
+        with torch.no_grad():
+            out = model(inp)
+            
+      cache = out[2]
+      trg_embedings = cache.layer_hiddens[-1]
     
     
       cos_sim = pairwise.cosine_similarity([src_embedings.cpu().detach().numpy()[0].flatten()],
@@ -509,7 +511,7 @@ if __name__ == "__main__":
 
         
         gr.Markdown("## Upload your MIDIs or select a sample example below")
-
+        
         gr.Markdown("## Upload source MIDI")
         
         input_src_midi = gr.File(label="Input MIDI", file_types=[".midi", ".mid", ".kar"])
@@ -517,9 +519,14 @@ if __name__ == "__main__":
         gr.Markdown("## Upload target MIDI")
 
         input_trg_midi = gr.File(label="Input MIDI", file_types=[".midi", ".mid", ".kar"])
+
+        gr.Markdown("### Make sure that the MIDI has at least sampling resolution number of notes")
+        
+        input_sampling_resolution = gr.Slider(40, 1000, value=40, step=1, label="Sampling resolution in notes")
+
+        gr.Markdown("### Make sure that the sampling overlap value is less than sampling resolution value")
         
-        input_sampling_resolution = gr.Slider(40, 400, value=40, step=1, label="Sampling resolution in notes")
-        input_sampling_overlap = gr.Slider(0, 200, value=0, step=1, label="Sampling overlap in notes")
+        input_sampling_overlap = gr.Slider(0, 500, value=0, step=1, label="Sampling overlap in notes")
         
         run_btn = gr.Button("compare", variant="primary")