Update app.py

app.py

@@ -161,10 +161,10 @@ def prediction():
            'policy_sales_channel':policy_sales_channel,
            'number_of_days_company' :number_of_days_company
          }
-        #report_data = pd.DataFrame(user_report_data, index=[0])
+        report_data = pd.DataFrame(user_report_data, index=[0])
         st.write(report_data)
-        user_data = np.array(['gender','age','license','regioncode','is_previously_insured','vechile_age','is_your_vechile_damaged','annual_premium','policy_sales_channel','number_of_days_company',ndim=2])
-        report_data=scaler.transform(user_data)
+        #user_data = np.array(['gender','age','license','regioncode','is_previously_insured','vechile_age','is_your_vechile_damaged','annual_premium','policy_sales_channel','number_of_days_company',ndim=2])
+        report_data=scaler.transform(report_data)
         response = model_xgb.predict(report_data)
         if response==1:
             st.subheader('This customer willing to buy a vehicle insurance')