Update app.py

app.py

@@ -164,7 +164,7 @@ def prediction():
         
         report_data = np.array([ Gender ,  Age ,  Driving_License ,  Region_Code ,  Previously_Insured , Vehicle_Age ,  
                                 Vehicle_Damage ,  Annual_Premium , Policy_Sales_Channel ,  Vintage ], ndmin=2)
-        st.write(report_data.shape)
+        print(report_data.shape)
         
     #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()
@@ -175,7 +175,7 @@ def prediction():
         #X_test = oneh.transform(report_data[ Gender ,  Age ,  Driving_License ,  Region_Code ,  Previously_Insured , Vehicle_Age ,  
          #                       Vehicle_Damage ,  Annual_Premium , Policy_Sales_Channel ,  Vintage ])
         xtrain = scaler.fit_transform(xtrain)  
-        st.write(xtrain.shape)
+        print(xtrain.shape)
         report_data=scaler.transform(report_data)
         response = model_xgb.predict(report_data)
         if response==1: