app.py

import streamlit as st
import requests

st.title("SuperKart Sales Predictor")

# replace with your backend endpoint URL
BACKEND_URL = "https://gauravguha-superkartbe.hf.space/predict"

# build input form
mrp     = st.number_input("Product MRP")
weight  = st.number_input("Product Weight")
area    = st.number_input("Allocated Area")
age     = st.number_input("Store Age")
sugar   = st.selectbox("Sugar Content", ["Low","Medium","High"])
ptype   = st.selectbox("Product Type",  ["A","B","C"])
size    = st.selectbox("Store Size",     ["Small","Medium","Large"])
city    = st.selectbox("City Type",      ["Tier 1","Tier 2","Tier 3"])
stype   = st.selectbox("Store Type",     ["Grocery","Supermarket"])

if st.button("Predict Sales"):
    payload = {
        "Product_MRP": mrp,
        "Product_Weight": weight,
        "Product_Allocated_Area": area,
        "Store_Age": age,
        "Product_Sugar_Content": sugar,
        "Product_Type": ptype,
        "Store_Size": size,
        "Store_Location_City_Type": city,
        "Store_Type": stype
    }
    r = requests.post(BACKEND_URL, json=payload)
    if r.status_code==200:
        st.success(f"Predicted Sales: ₹{r.json()['prediction']:.2f}")
    else:
        st.error(f"Error {r.status_code}: {r.text}")