push 3

app.py

@@ -17,31 +17,47 @@ model = load_model('best_model.h5')
 st.subheader('Customer Churn Prediction')
 st.write('Please Fill The Information Below')
 
+# make 2 columns
+col1, col2 = st.columns(2)
+col11, col22, col33 = st.columns(3)
+
 # Variabel for input data
 membership = ['Premium Membership', 'Platinum Membership', 'Gold Membership','Silver Membership', 'Basic Membership', 'No Membership']
-membership_category = st.radio('Membership',(membership))
+with col1:
+  membership_category = st.radio('Membership',(membership))
 
 feedback_cat = ['Products always in Stock','Reasonable Price','User Friendly Website', 'Quality Customer Care',
                 'Poor Product Quality', 'Poor Website', 'Poor Customer Service', 'Too many ads', 'No reason specified']
-feedback = st.radio('Feedback',(feedback_cat))
+with col2:
+  feedback = st.radio('Feedback',(feedback_cat))
+
+with col1:
+  offer_application_preference = st.radio('Prefer Offer',('Yes', 'No'))
 
-offer_application_preference = st.radio('Prefer Offer',('Yes', 'No'))
+with col2:
+  preferred_offer_types = st.radio('Offer Type',('Gift Vouchers/Coupons', 'Credit/Debit Card Offers','Without Offers'))
 
-preferred_offer_types = st.radio('Offer Type',('Gift Vouchers/Coupons', 'Credit/Debit Card Offers','Without Offers'))
+with col1:
+  joined_through_referral = st.radio('Using Refferall',('Yes', 'No'))
 
-joined_through_referral = st.radio('Using Refferall',('Yes', 'No'))
 
-points_in_wallet = st.number_input('Points In Wallet',0.00, 1500.00)
+with col11:
+  points_in_wallet = st.number_input('Points In Wallet',0.00, 1500.00)
 
-avg_time_spent = st.number_input('Time Spent On Website (Hours)',0.00, 3050.00)
+with col22:
+  avg_time_spent = st.number_input('Time Spent On Website (Hours)',0.00, 3050.00)
 
-avg_transaction_value = st.number_input('Total Transcation Amount (USD)',0.00, 99900.00)
+with col33:
+  avg_transaction_value = st.number_input('Total Transcation Amount (USD)',0.00, 99900.00)
 
-avg_frequency_login_days = st.slider('Login Website In A Day',0, 70)
+with col11:
+  avg_frequency_login_days = st.slider('Login Website In A Day',0, 70)
 
-days_since_last_login = st.slider('Days Since Last Login',0, 30)
+with col22:
+  days_since_last_login = st.slider('Days Since Last Login',0, 30)
 
-days_since_join = st.slider('Days Since Join',0, 30)
+with col33:
+  days_since_join = st.slider('Days Since Join',0, 30)
 
 # make buttom for prediction