Upload folder using huggingface_hub

app.py

@@ -7,12 +7,12 @@ st.title("SuperKart Sales Prediction App")
 st.write("This tool predicts SuperKart Store Product Sales based on their details. Enter the required information below.")
 
 # Collect user input based on dataset columns
-Product_Id = st.selectbox("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_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_Allocated_Area = st.selectbox("Product Allocated Area", min_value=0.004, max_value=0.3)
+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.selectbox("Product MRP", min_value=1, max_value=500)
+Product_MRP = st.number_input("Product MRP", min_value=1, max_value=500)
 Store_Id = st.selectbox("Select Store ID", [['OUT001', 'OUT002', 'OUT003', 'OUT004']])
 Store_Establishment_Year = st.selectbox("Store Establishment Year", [1987, 1998, 1999, 2009])
 Store_Size = st.selectbox("Select the correct store size?", ['High', 'Medium', 'Small'])