Update app.py

app.py

@@ -13,7 +13,7 @@ loaded_model = pickle.load(open("classroom_xgb.pkl", 'rb'))
 explainer = shap.Explainer(loaded_model) # PLEASE DO NOT CHANGE THIS.
 
 # Create the main function for server
-def main_func(Target, Admission_grade, Curricular_units_2nd_sem_grade, Previous_qualifications, Curricular_units_1st_sem_grade, Curricular_units_2nd_sem_approved, Age_at_enrollment):
+def main_func(Target, Admission_grade, Curricular_units_2nd_sem_grade, Previous_qualifications, Curricular_units_1st_sem_grade, Course, Curricular_units_2nd_sem_approved, Age_at_enrollment):
     new_row = pd.DataFrame.from_dict({'Target':Target, 'Admission grade':Admission_grade,'Curricular units 2nd sem (grade)':Curricular_units_2nd_sem_grade,
               'Previous qualifications':Previous_qualifications,'Curricular units 1st sem (grade)':Curricular_units_1st_sem_grade, 'Course':Course,'Curricular units 2nd sem (approved)':Curricular_units_2nd_sem_approved,
               'Age at enrollment':Age_at_enrollmentenrollment}).transpose() 
@@ -62,11 +62,11 @@ with gr.Blocks(title=title) as demo:
 
     submit_btn.click(
         main_func,
-        [age, sex, cp, trtbps, chol, fbs, restecg, thalachh,exng,oldpeak,slp,caa,thall],
+        [Admission_grade, Curricular_units_2nd_sem_grade, Previous_qualifications, Curricular_units_1st_sem_grade, Course, Curricular_units_2nd_sem_approved, Age_at_enrollment],
         [label,local_plot], api_name="Dropout_Predictor"
     )
     
     gr.Markdown("### Click on any of the examples below to see how it works:")
-    gr.Examples([[24,0,4,4,5,5,4,4,5,5,1,2,3], [24,0,4,4,5,3,3,2,1,1,1,2,3]], [age, sex, cp, trtbps, chol, fbs, restecg, thalachh,exng,oldpeak,slp,caa,thall], [label,local_plot], main_func, cache_examples=True)
+    gr.Examples([[24,0,4,4,5,5,4,4,5,5,1,2,3], [24,0,4,4,5,3,3,2,1,1,1,2,3]], [Admission_grade, Curricular_units_2nd_sem_grade, Previous_qualifications, Curricular_units_1st_sem_grade, Course, Curricular_units_2nd_sem_approved, Age_at_enrollment], [label,local_plot], main_func, cache_examples=True)
 
 demo.launch()