Update app.py

app.py

@@ -15,13 +15,13 @@ loaded_model = pickle.load(open("cdc_diabetes_health_indicators.pkl", 'rb'))
 explainer = shap.Explainer(loaded_model) # PLEASE DO NOT CHANGE THIS.
 
 # Create the main function for server
-def main_func(HighBP, HighChol, CholCheck, BMI, Smoker, Stroke, HeartDiseaseorAttack, PhysActivity, Fruits, Veggies, HvyAlcoholConsump, AnyHealthcare, NoDocbcCost, GenHlth, MentHlth, PhysHealth, DiffWalk, Sex, Age, Education, Income):
+def main_func(HighBP, HighChol, CholCheck, BMI, Smoker, Stroke, HeartDiseaseorAttack, PhysActivity, Fruits, Veggies, HvyAlcoholConsump, AnyHealthcare, NoDocbcCost, GenHlth, MentHlth, PhysHlth, DiffWalk, Sex, Age, Education, Income):
     new_row = pd.DataFrame.from_dict({
               'HighBP':HighBP,'HighChol':HighChol,'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}, 
+                                      'PhysHlth':PhysHealth, 'DiffWalk':DiffWalk, 'Sex':Sex, 'Age':Age, 'Education':Education, 'Income':Income}, 
                                      orient = 'index').transpose()
     
     prob = loaded_model.predict_proba(new_row)
@@ -83,7 +83,7 @@ with gr.Blocks(title=title) as demo:
 
     submit_btn.click(
         main_func,
-        [HighBP, HighChol, CholCheck, BMI, Smoker, Stroke, HeartDiseaseorAttack, PhysActivity, Fruits, Veggies, HvyAlcoholConsump, AnyHealthcare, NoDocbcCost, GenHlth, MentHlth, PhysHealth, DiffWalk, Sex, Age, Education, Income],
+        [HighBP, HighChol, CholCheck, BMI, Smoker, Stroke, HeartDiseaseorAttack, PhysActivity, Fruits, Veggies, HvyAlcoholConsump, AnyHealthcare, NoDocbcCost, GenHlth, MentHlth, PhysHlth, DiffWalk, Sex, Age, Education, Income],
         [label,local_plot], api_name="Diabetes_Predictor"
     )