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| import streamlit as st | |
| import requests | |
| # App title | |
| st.title("SuperKart Sales Prediction App") | |
| # Input fields for product and store data | |
| Product_Weight = st.number_input("Product Weight", min_value=0.0, value=12.66) | |
| 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=0.05 | |
| ) | |
| Product_MRP = st.number_input( | |
| "Product MRP", | |
| min_value=0.0, | |
| value=249.81 | |
| ) | |
| 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", | |
| ["Grocery Store", "Supermarket Type1", "Supermarket Type2", "Supermarket Type3"] | |
| ) | |
| Product_Id_char = st.selectbox( | |
| "Product Category (ID Prefix)", | |
| ["FD", "DR", "NC"] | |
| ) | |
| Store_Age_Years = st.number_input( | |
| "Store Age (Years)", | |
| min_value=0, | |
| value=15 | |
| ) | |
| Product_Type_Category = st.selectbox( | |
| "Product Type Category", | |
| ["Perishables", "Non Perishables"] | |
| ) | |
| # Create payload for API | |
| product_data = { | |
| "Product_Weight": Product_Weight, | |
| "Product_Sugar_Content": Product_Sugar_Content, | |
| "Product_Allocated_Area": Product_Allocated_Area, | |
| "Product_MRP": Product_MRP, | |
| "Store_Size": Store_Size, | |
| "Store_Location_City_Type": Store_Location_City_Type, | |
| "Store_Type": Store_Type, | |
| "Product_Id_char": Product_Id_char, | |
| "Store_Age_Years": Store_Age_Years, | |
| "Product_Type_Category": Product_Type_Category | |
| } | |
| # Predict button | |
| if st.button("Predict", type="primary"): | |
| response = requests.post( | |
| "https://farukkwansahnyame-SuperkartBackendY.hf.space/v1/predict", | |
| json=product_data | |
| ) | |
| if response.status_code == 200: | |
| result = response.json() | |
| predicted_sales = result["Sales"] | |
| st.success(f"Predicted Product Store Sales Total: ${predicted_sales:.2f}") | |
| else: | |
| st.error("Error in API request") | |