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app.py

@@ -9,7 +9,7 @@ st.title("SuperKart Sales Revenue Forecasting")
 st.subheader("Online Prediction")
 
 # Collect user input for product-store features
-Product_Id = st.text_input("Product ID (e.g., FD123)")
+#Product_Id = st.text_input("Product ID (e.g., FD123)")
 Product_Weight = st.number_input("Product Weight (kg)", min_value=0.0, step=0.1, value=1.0)
 Product_Sugar_Content = st.selectbox("Product Sugar Content", ["Low Sugar", "Regular", "No Sugar"])
 Product_Allocated_Area = st.number_input("Allocated Display Area Ratio (0.0 to 1.0)", min_value=0.0, max_value=1.0, step=0.01, value=0.05)
@@ -27,7 +27,7 @@ Store_Type = st.selectbox("Store Type", ["Departmental Store", "Supermarket Type
 
 # Convert user input into a DataFrame
 input_data = pd.DataFrame([{
-    'Product_Id': Product_Id,
+    #'Product_Id': Product_Id,
     'Product_Weight': Product_Weight,
     'Product_Sugar_Content': Product_Sugar_Content,
     'Product_Allocated_Area': Product_Allocated_Area,