Update prediction.py

prediction.py

@@ -49,26 +49,26 @@ def run():
       submitted = st.form_submit_button('Predict')
 
   data_inf = {
-      'user_id':user_id,
-      'age': age,
-      'gender':gender,
-      'region_category': region_category,
-      'membership_category': membership_category,
-      'joining_date': joining_date,
-      'joined_through_referral':joined_through_referral,
-      'preferred_offer_types': preferred_offer_types,
-      'medium_of_operation': medium_of_operation,
-      'internet_option': internet_option,
-      'days_since_last_login': days_since_last_login,
-      'avg_time_spent': avg_time_spent,
-      'avg_transaction_value': avg_transaction_value,
-      'avg_frequency_login_days': avg_frequency_login_days,
-      'points_in_wallet': points_in_wallet,
-      'used_special_discount': used_special_discount,
-      'offer_application_preference': offer_application_preference,
-      'past_complaint': past_complaint,
-      'complaint_status': complaint_status,
-      'feedback': feedback
+    'user_id':user_id,
+    'age': age,
+    'gender':gender,
+    'region_category': region_category,
+    'membership_category': membership_category,
+    'joining_date': joining_date,
+    'joined_through_referral':joined_through_referral,
+    'preferred_offer_types': preferred_offer_types,
+    'medium_of_operation': medium_of_operation,
+    'internet_option': internet_option,
+    'days_since_last_login': days_since_last_login,
+    'avg_time_spent': avg_time_spent,
+    'avg_transaction_value': avg_transaction_value,
+    'avg_frequency_login_days': avg_frequency_login_days,
+    'points_in_wallet': points_in_wallet,
+    'used_special_discount': used_special_discount,
+    'offer_application_preference': offer_application_preference,
+    'past_complaint': past_complaint,
+    'complaint_status': complaint_status,
+    'feedback': feedback
   }
 
   data_inf = pd.DataFrame([data_inf])