Update app.py

app.py

@@ -58,10 +58,10 @@ def fn(glycan, model):
     if model == "No data augmentation":
       model_pred = model1
       model_pred.eval()
-    elif model == "Ensemble":
+    elif model == "Classical Ensemble":
       model_pred = model3
       model_pred.eval()
-    elif model == "Bootstrap ensemble":
+    elif model == "Bagging ensemble":
       model_pred = model4
       model_pred.eval()
     elif model == "Random edge deletion":
@@ -108,8 +108,8 @@ demo = gr.Interface(
     examples=[
     ["D-Rha(b1-2)D-Rha(b1-2)Gal(b1-4)[Glc(b1-2)]GlcAOMe", "Random node deletion"],
     ["Neu5Ac(a2-3)Gal(b1-4)GlcNAc(b1-3)GalNAc", "No data augmentation"],
-    ["Kdo(a2-4)[Kdo(a2-8)]Kdo(a2-4)Kdo", "Ensemble"],
-    ["Galf(b1-6)Galf(b1-5)Galf(b1-6)Galf", "Bootstrap Ensemble"],
+    ["Kdo(a2-4)[Kdo(a2-8)]Kdo(a2-4)Kdo", "Classical ensemble"],
+    ["Galf(b1-6)Galf(b1-5)Galf(b1-6)Galf", "Bagging Ensemble"],
     ["GlcNAc(b1-2)Rha(a1-2)Rha(b1-3)Rha(a1-3)GlcNAc", "Random edge deletion"],
     ["Pse(b2-6)Glc(b1-6)Gal(b1-3)GalNAc(b1-3)[Glc(b1-6)]Gal(b1-3)GalNAc", "Adjusted class weights"],
     ]