import streamlit as st import requests # Title st.title("SuperKart Sales Prediction") # ---------------- INPUTS ---------------- # 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("Allocated Area", min_value=0.0, value=100.0) Product_MRP = st.number_input("Product MRP", min_value=0.0, value=150.0) Store_Size = st.selectbox( "Store Size", ["Small", "Medium", "High"] ) Store_Location_City_Type = st.selectbox( "City Type", ["Tier 1", "Tier 2", "Tier 3"] ) # FIXED STORE TYPE (IMPORTANT) Store_Type = st.selectbox( "Store Type", [ "Departmental Store", "Food Mart", "Supermarket Type1", "Supermarket Type2" ] ) Product_Id_char = st.text_input("Product ID", "FDX") Store_Age_Years = st.number_input("Store Age (Years)", min_value=0, value=10) Product_Type_Category = st.selectbox( "Product Category", ["Food", "Drinks", "Household", "Others"] ) # ---------------- DATA ---------------- # 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 } # ---------------- API CALL ---------------- # # REPLACE THIS WITH YOUR BACKEND LINK API_URL = "https://muleex12-bacckend.hf.space/predict" if st.button("Predict", type="primary"): try: response = requests.post(API_URL, json=product_data) if response.status_code == 200: result = response.json() if "Sales" in result: st.success(f"Predicted Sales: {result['Sales']:.2f}") else: st.error(result) else: st.error(f"API Error: {response.status_code}") except Exception as e: st.error(f"Error: {str(e)}")