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app.py

@@ -9,7 +9,7 @@ st.write("This tool predicts SuperKart Store Product Sales based on their detail
 # Collect user input based on dataset columns
 Product_Id = st.text_input("Enter a Product Identifier. This should start with one of the 3 Product Code values ('FD', 'NC', 'DR') followed by a 2/3 digit number.")
 Product_Weight = st.number_input("Product Weight", min_value=1, max_value=99)
-Product_Sugar_Content_Corr = st.selectbox("Select the Product Sugar Content Level", ['No Sugar', 'Low Sugar', 'Regular'])
+Product_Sugar_Content = st.selectbox("Select the Product Sugar Content Level", ['No Sugar', 'Low Sugar', 'Regular'])
 Product_Allocated_Area = st.number_input("Product Allocated Area", min_value=0.004, max_value=0.3)
 Product_Type = st.selectbox("Select the Product Sugar Content Level", ['Frozen Foods','Dairy','Canned','Baking Goods','Health and Hygiene','Snack Foods','Meat','Household','Hard Drinks','Fruits and Vegetables','Breads','Soft Drinks','Breakfast','Others','Starchy Foods','Seafood'])
 Product_MRP = st.number_input("Product MRP", min_value=1, max_value=500)
@@ -23,7 +23,7 @@ Store_Type = st.selectbox("Select the Store Type", ['Departmental Store', 'Food
 customer_data = {
     'Product_Id': Product_Id,
     'Product_Weight': Product_Weight,
-    'Product_Sugar_Content_Corr': Product_Sugar_Content_Corr,
+    'Product_Sugar_Content': Product_Sugar_Content,
     'Product_Allocated_Area': Product_Allocated_Area,
     'Product_Type': Product_Type,
     'Product_MRP': Product_MRP,