update prediction 2

prediction.py

@@ -26,15 +26,15 @@ def run():
         Age = st.number_input('AGE',min_value=10,max_value=70,step=1)
         Region = st.selectbox('Region', df['region_category'].unique())
         Member = st.selectbox('Membership Type', df['membership_category'].unique())
-        offer = st.selectbox('Preferred Offer', sorted(df['preferred_offer_types'].unique()))
-        Internet = st.selectbox('Your Connectivity', sorted(df['internet_option'].unique()))
+        offer = st.selectbox('Preferred Offer',df['preferred_offer_types'].unique())
+        Internet = st.selectbox('Your Connectivity',df['internet_option'].unique())
         last_login = st.number_input('last login',min_value=0,max_value=365,step=7)
         time_spent = st.slider('TimeSpent',min_value=0,max_value=10000)
         transaction_value = st.number_input('Money spent',min_value=10,max_value=99999999,step=1)
         login_days = st.number_input('login streak',min_value=0,max_value=99999999)
         points_in_wallet= st.number_input('wallet money',min_value=0,max_value=99999999)
-        past_complaint= st.selectbox('complaint', sorted(df['past_complaint'].unique()))
-        feedback = st.selectbox('feedback', sorted(df['feedback'].unique()))
+        past_complaint= st.selectbox('complaint', df['past_complaint'].unique())
+        feedback = st.selectbox('feedback', df['feedback'].unique())
 
 
     submitted = st.form_submit_button('Predict')