Update app.py

app.py

@@ -19,7 +19,9 @@ explainer = shap.Explainer(loaded_model) # PLEASE DO NOT CHANGE THIS.
     new_row = pd.DataFrame.from_dict({'ID':ID,'Diabetes_binary':Diabetes_binary,
               'HighBP':HighBP,'HighCol':HighCol,'CholCheck':CholCheck,
                   'BMI':BMI, 'Smoker':Smoker,'Stroke':Stroke,'HeartDiseaseorAttack':HeartDiseaseorAttack,
-                                     'PhysActivity':PhysActivity,'Fruits':Fruits,'Veggies':Veggies,'HvyAlcoholConsump':HvyAlcoholConsump, 'AnyHealthcare':AnyHealthcare, 'NoDocbcCost':NoDocbcCost, 'GenHlth':GenHlth, 'MenHlth': MenHlth, 'PhysHealth':PhysHealth, 'DiffWalk':DiffWalk, 'Sex':Sex, 'Age':Age, 'Education':Education, 'Income':Income}, 
+                                     'PhysActivity':PhysActivity,'Fruits':Fruits,'Veggies':Veggies,'HvyAlcoholConsump':HvyAlcoholConsump, 
+                                      'AnyHealthcare':AnyHealthcare, 'NoDocbcCost':NoDocbcCost, 'GenHlth':GenHlth, 'MenHlth': MenHlth, 
+                                      'PhysHealth':PhysHealth, 'DiffWalk':DiffWalk, 'Sex':Sex, 'Age':Age, 'Education':Education, 'Income':Income}, 
                                      orient = 'index').transpose()
     
     prob = loaded_model.predict_proba(new_row)