app.py

import streamlit as st, requests
from datetime import datetime

st.title("SuperKart — Sales Revenue Predictor")
BACKEND_URL = "https://mukherjee78-superkart-backend.hf.space/predict"

product_id = st.text_input("Product ID (e.g., FD6114)")
product_weight = st.number_input("Product Weight (kg)", min_value=0.0, step=0.1)
product_allocated_area = st.number_input("Product Allocated Area (0–1)", min_value=0.0, max_value=1.0, step=0.01)
product_mrp = st.number_input("Product MRP (₹)", min_value=0.0, step=0.5)
product_sugar_content = st.selectbox("Product Sugar Content", ["Low Sugar","Regular","No Sugar","reg"])
product_type = st.selectbox("Product Type", ["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"])
store_id = st.selectbox("Store ID", ["OUT004","OUT003","OUT001","OUT002"])
store_size = st.selectbox("Store Size", ["Small","Medium","High"])
store_location_city_type = st.selectbox("City Tier", ["Tier 1","Tier 2","Tier 3"])
store_type = st.selectbox("Store Type", ["Departmental Store","Supermarket Type1","Supermarket Type2","Food Mart"])
store_establishment_year = st.number_input("Store Establishment Year", min_value=1900, max_value=datetime.now().year, value=2005, step=1)

if st.button("Predict"):
    if not product_id:
        st.error("Please enter Product ID.")
    else:
        payload = {
            "Product_Id": product_id,
            "Product_Weight": product_weight,
            "Product_Sugar_Content": product_sugar_content,
            "Product_Allocated_Area": product_allocated_area,
            "Product_Type": product_type,
            "Product_MRP": product_mrp,
            "Store_Id": store_id,
            "Store_Establishment_Year": int(store_establishment_year),
            "Store_Size": store_size,
            "Store_Location_City_Type": store_location_city_type,
            "Store_Type": store_type,
            "Store_Age": datetime.now().year - int(store_establishment_year),
            "Product_Prefix": product_id[:2],
        }
        try:
            r = requests.post(BACKEND_URL, json=payload, timeout=60)
            if r.status_code == 200:
                st.success(f"Estimated Sales Revenue: ₹{r.json().get('prediction', 0):,.2f}")
            else:
                st.error(f"Backend error {r.status_code}: {r.text}")
        except Exception as e:
            st.error(f"Request failed: {e}")