Update app.py

app.py

@@ -163,7 +163,10 @@ def prediction():
         }
         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])
+        
+    #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])
+        scaler = StandardScaler()
+        xtrain = scaler.fit_transform(xtrain)    
         report_data=scaler.transform(report_data)
         response = model_xgb.predict(report_data)
         if response==1: