Update app.py

app.py

@@ -191,12 +191,12 @@ with gr.Blocks() as demo:
     with gr.Row():
         X0 = gr.Textbox(label="conotoxin")
         X3 = gr.Textbox(label="Positions that needs optimization")
-        X1 = gr.Dropdown(choices=['<α7>','<AChBP>','<α4β2>','<α3β4>','<Ca22>','<α3β2>', '<Na12>','<α9α10>','<K16>', '<α1β1γδ>', 
-                                  '<K13>', '<α1BAR>', '<α1β1ε>', '<α1AAR>', '<GluN3A>', '<GluN2B>', '<α75HT3>', '<Na14>', 
-                                  '<GluN2C>', '<NET>', '<NavBh>', '<α6β3β4>', '<Na11>', '<Ca13>', '<Ca12>', '<Na16>', '<α6α3β2>', 
-                                  '<GluN2A>', '<GluN2D>', '<K17>', '<α1β1δε>', '<GABA>', '<α9>', '<K12>', '<Kshaker>',  '<Na18>', 
-                                  '<α6α3β2β3>', '<α1β1δ>', '<α6α3β4β3>', '<α2β2>','<α6β4>', '<α2β4>','<Na13>', '<Na15>', '<α4β4>', 
-                                  '<α7α6β2>', '<α1β1γ>', '<NaTTXR>', '<K11>', '<Ca23>', '<α6α3β4>', '<NaTTXS>', '<Na17>'], label="Subtype")
+        X1 = gr.Dropdown(choices=['<α7>', '<AChBP>', '<Ca12>', '<Ca13>', '<Ca22>', '<Ca23>', '<GABA>', '<GluN2A>', '<GluN2B>', '<GluN2C>', '<GluN2D>', '<GluN3A>', 
+                             '<K11>', '<K12>', '<K13>', '<K16>', '<K17>', '<Kshaker>',
+                             '<Na11>', '<Na12>', '<Na13>', '<Na14>', '<Na15>', '<Na16>', '<Na17>', '<Na18>', '<NaTTXR>', '<NaTTXS>', '<NET>', 
+                             '<α1AAR>', '<α1BAR>', '<α1β1γ>', '<α1β1γδ>', '<α1β1δ>', '<α1β1δε>', '<α1β1ε>', '<α2β2>', '<α2β4>', '<α3β2>', '<α3β4>', 
+                             '<α4β2>', '<α4β4>', '<α6α3β2>', '<α6α3β2β3>', '<α6α3β4>', '<α6α3β4β3>', '<α6β3β4>', '<α6β4>', '<α7α6β2>', 
+                             '<α75HT3>', '<α9>', '<α9α10>'], label="Subtype")
         X2 = gr.Dropdown(choices=['<high>','<low>'], label="Potency")
     with gr.Row():
         τ = gr.Slider(minimum=1, maximum=2, step=0.1, label="τ")