🔥 Replace default demo with SuperKart UI

streamlit_app.py

@@ -1,55 +0,0 @@
-import streamlit as st
-import pandas as pd
-import requests, os
-
-# Page config
-st.set_page_config(page_title="SuperKart Forecast", layout="centered")
-st.title("🛒 SuperKart Quarterly Sales Forecast")
-
-# Point to your Flask backend
-BACKEND_URL = os.getenv("BACKEND_URL", "$BACKEND_URL")
-
-# Input form
-with st.form("forecast_form"):
-    c1, c2 = st.columns(2)
-    with c1:
-        pw   = st.number_input("Product Weight (kg)", 0.0, 100.0, 12.5, 0.1)
-        pa   = st.number_input("Allocated Area Ratio", 0.0, 1.0,   0.08, 0.005)
-        mrp  = st.number_input("Product MRP (₹)",      0.0, 1000.0,50.0,  1.0)
-        year = st.number_input("Store Established Year",1900,2025,2015,1)
-        size = st.selectbox("Store Size", ["low","medium","high"])
-    with c2:
-        city   = st.selectbox("City Tier", ["Tier 1","Tier 2","Tier 3"])
-        stype  = st.selectbox("Store Type", [
-            "Departmental Store","Supermarket Type 1",
-            "Supermarket Type 2","Food Mart"
-        ])
-        prefix = st.text_input("Product Prefix","FD")
-        pnum   = st.number_input("Product Numeric ID", 0, 100000, 6114, 1)
-        age    = st.number_input(
-            "Store Age (yrs)", 0, 50,
-            int(pd.Timestamp.now().year - year), 1
-        )
-    submitted = st.form_submit_button("🔮 Predict")
-
-# Submit & show result
-if submitted:
-    payload = {"data":[{
-        "Product_Weight":pw,
-        "Product_Allocated_Area":pa,
-        "Product_MRP":mrp,
-        "Store_Establishment_Year":year,
-        "Store_Size":size,
-        "Store_Location_City_Type":city,
-        "Store_Type":stype,
-        "Product_Prefix":prefix,
-        "Product_Num":pnum,
-        "Store_Age":age
-    }]}
-    try:
-        r = requests.post(f"{BACKEND_URL}/predict", json=payload, timeout=10)
-        r.raise_for_status()
-        pred = r.json()["predictions"][0]
-        st.success(f"🚀 Forecasted Sales: ₹{pred:,.2f}")
-    except Exception as e:
-        st.error(f"❌ Error: {e}")