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app.py

@@ -32,21 +32,21 @@ st.subheader("Online Prediction")
 #         "Departmental Store","Supermarket Type 1","Supermarket Type 2","Food Mart"
 #     ])
 
-  Product_Weight = st.number_input("Product Weight", min_value=0.0, max_value=100.0, step=0.1)
-  Product_Allocated_Area = st.number_input("Allocated Display Area Ratio", min_value=0.0, max_value=1.0, step=0.01)
-  Product_MRP = st.number_input("Product MRP", min_value=1.0, max_value=10000.0, step=1.0)
-  Product_Sugar_Content = st.selectbox("Sugar Content", ["Low Sugar", "Regular", "No Sugar"])
-  Product_Type = st.selectbox("Product Type", [
+Product_Weight = st.number_input("Product Weight", min_value=0.0, max_value=100.0, step=0.1)
+Product_Allocated_Area = st.number_input("Allocated Display Area Ratio", min_value=0.0, max_value=1.0, step=0.01)
+Product_MRP = st.number_input("Product MRP", min_value=1.0, max_value=10000.0, step=1.0)
+Product_Sugar_Content = st.selectbox("Sugar Content", ["Low Sugar", "Regular", "No Sugar"])
+Product_Type = st.selectbox("Product Type", [
         "Meat","Snack Foods","Hard Drinks","Dairy","Canned","Soft Drinks",
         "Health and Hygiene","Baking Goods","Bread","Breakfast","Frozen Foods",
         "Fruits and Vegetables","Household","Seafood","Starchy Foods","Others"
     ])
-  Store_Size = st.selectbox("Store Size", ["High", "Medium", "Low"])
-  Store_Location_City_Type = st.selectbox("City Type", ["Tier 1", "Tier 2", "Tier 3"])
-  Store_Type = st.selectbox("Store Type", [
+Store_Size = st.selectbox("Store Size", ["High", "Medium", "Low"])
+Store_Location_City_Type = st.selectbox("City Type", ["Tier 1", "Tier 2", "Tier 3"])
+Store_Type = st.selectbox("Store Type", [
         "Departmental Store","Supermarket Type 1","Supermarket Type 2","Food Mart"
     ])
-  Store_Id = st.selectbox("Store Id", ["OUT001","OUT002","OUT003","OUT004"])
+Store_Id = st.selectbox("Store Id", ["OUT001","OUT002","OUT003","OUT004"])
 
 # Convert user input into a DataFrame
 input_data = pd.DataFrame([{