Update app.py

app.py

@@ -171,7 +171,7 @@ def prediction():
         #from sklearn.preprocessing import OneHotEncoder
         #oneh = OneHotEncoder(handle_unknown="ignore")
         #oneh.fit(xtrain[ Gender ,  Age ,  Driving_License ,  Region_Code ,  Previously_Insured , Vehicle_Age ,  
-                                Vehicle_Damage ,  Annual_Premium , Policy_Sales_Channel ,  Vintage ])
+        #                        Vehicle_Damage ,  Annual_Premium , Policy_Sales_Channel ,  Vintage ])
         #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)