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app.py

@@ -5,15 +5,15 @@ import requests
 st.title("SuperKart Sales Prediction Model with XGBoost")
 
 # Input fields for product and store data
-Product_Weight = st.number_input("Product Weight", min_value=0.0, value=0)
+Product_Weight = st.number_input("Product Weight", min_value=0.0, value=0.01)
 Product_Sugar_Content = st.selectbox("Product Sugar Content", ["Low Sugar", "Regular", "No Sugar"])
-Product_Allocated_Area = st.number_input("Product Allocated Area", min_value=0.0, value=0)
-Product_MRP = st.number_input("Product MRP", min_value=0.0, value=0)
+Product_Allocated_Area = st.number_input("Product Allocated Area", min_value=0.0, value=0.01)
+Product_MRP = st.number_input("Product MRP", min_value=0.0, value=0.01)
 Store_Size = st.selectbox("Store Size", ["Small", "Medium", "High"])
 Store_Location_City_Type = st.selectbox("Store Location City Type", ["Tier 1", "Tier 2", "Tier 3"])
 Store_Type = st.selectbox("Store Type", ["Food Mart", "Departmental Store", "Supermarket Type1", "Supermarket Type2"])
 Product_Code = st.selectbox("Product Category", ["FD", "DR", "NC"])
-Store_Age = st.number_input("Store Age in Years", min_value=0, value=0)
+Store_Age = st.number_input("Store Age in Years", min_value=0, value=1)
 Product_Category = st.selectbox("Product Category", ["Perishable", "Non-Perishable"])
 
 product_data = {