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app.py

@@ -7,28 +7,28 @@ st.title("Product Sales Prediction App")
 st.write("This tool predicts production sales prediction. Enter the required information below.")
 
 # Collect user input based on dataset columns
-weight = st.number_input("Product Weight", min_value=1, max_value=99999999)
-sugarcontent = st.selectbox("Product Sugar Content", ["Low Sugar", "No Sugar", "Regular Sugar", "reg"])
-area = st.number_input("Product allocated area", min_value=1, max_value=9999999)
-producttype = st.selectbox("Product type", ["Frozen Foods", "Dairy", "Canned", "Baking Goods", "Health and Hygiene", "Snack Foods", "Meat", "Household", "Hard Drinks", "Fruits and Vegetables",
+weight = st.number_input("Product_Weight", min_value=1.0)
+sugarcontent = st.selectbox("Product_Sugar_Content", ["Low Sugar", "No Sugar", "Regular Sugar", "reg"])
+area = st.number_input("Product_Allocated_Area", min_value=1, max_value=9999999)
+producttype = st.selectbox("Product_Type", ["Frozen Foods", "Dairy", "Canned", "Baking Goods", "Health and Hygiene", "Snack Foods", "Meat", "Household", "Hard Drinks", "Fruits and Vegetables",
 "Breads", "Others", "Starchy Foods", "Seafood"])
-productmrp = st.number_input("Product MRP", value=100)
-year = st.number_input("Store establishment year", value=2007)
-storesize = st.selectbox("store size", ["Small", "Medium", "High"])
-citytype = st.selectbox("City type", ["Tier1", "Tier2", "Tier3"])
-storetype = st.selectbox("store type", ["Supermarket Type1", "Supermarket Type2", "Food Mart", "Departmental Store"])
+productmrp = st.number_input("Product_MRP", value=100)
+year = st.number_input("Store_Establishment_Year", value=2007)
+storesize = st.selectbox("Store_Size", ["Small", "Medium", "High"])
+citytype = st.selectbox("Store_Location_City_Type", ["Tier1", "Tier2", "Tier3"])
+storetype = st.selectbox("Store_Type", ["Supermarket Type1", "Supermarket Type2", "Food Mart", "Departmental Store"])
 
 # Convert categorical inputs to match model training
 customer_data = {
-    'Product Weight': weight,
-    'Product Sugar Content':sugarcontent,
-    'Product allocated area': area,
-    'Product Type': producttype,
-    'Product MRP': productmrp,
-    'Store establishment year': year,
-    'store size': storesize,
-    'City type': citytype,
-    'store type': storetype,
+    'Product_Weight': weight,
+    'Product_Sugar_Content':sugarcontent,
+    'Product_Allocated_Area': area,
+    'Product_Type': producttype,
+    'Product_MRP': productmrp,
+    'Store_Establishment_Year': year,
+    'Store_Size': storesize,
+    'Store_Location_City_Type': citytype,
+    'Store_Type': storetype,
 }