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import streamlit as st
import requests
import pandas as pd
st.set_page_config(page_title="SuperKart Sales Prediction", page_icon="🛒", layout="centered")
st.title("🛒 SuperKart Sales Prediction")
# --- API base (set your HF Space URL here) ---
# api_url = st.text_input(
# "API Base URL",
# value="https://vinodcwanted-SuperKart.hf.space",
# help="Your Flask API base (no trailing slash). Example: https://thiresh-rentalpricepredictionbackend.hf.space",
# )
api_url ="https://vinodcwanted-SuperKart.hf.space"
st.markdown("### Product Details")
col1, col2 = st.columns(2)
with col1:
product_weight = st.number_input("Product_Weight", min_value=0.0, value=12.5, step=0.1)
product_alloc_area = st.number_input("Product_Allocated_Area", min_value=0.0, value=0.05, step=0.001, format="%.3f")
product_mrp = st.number_input("Product_MRP", min_value=0.0, value=150.0, step=0.1)
product_id = st.text_input("Product_Id (optional)", value="", help="If provided, API derives product_categories from its prefix (FD/NC/DR).")
with col2:
product_sugar_content = st.selectbox("Product_Sugar_Content", ["Low Sugar", "Regular", "No Sugar"])
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"
],
)
product_categories = st.selectbox(
"product_categories",
["FD","NC","DR"],
help="'FD':'Food_and_Vegetables','NC':'Non_Consumable','DR':'Drinks'"
)
st.markdown("### Store Details")
col3, col4 = st.columns(2)
with col3:
store_size = st.selectbox("Store_Size", ["Small", "Medium", "High"])
store_type = st.selectbox("Store_Type", ["Departmental Store", "Supermarket Type1", "Supermarket Type2", "Food Mart"])
with col4:
store_city_type = st.selectbox("Store_Location_City_Type", ["Tier 1", "Tier 2", "Tier 3"])
store_est_year = st.number_input("Store_Establishment_Year", min_value=1900, max_value=2025, value=2005, step=1,
help="API will compute Establishment_age = 2025 - this year.")
# Build payload (single JSON)
payload = {
"Product_Weight": product_weight,
"Product_Sugar_Content": product_sugar_content,
"Product_Allocated_Area": product_alloc_area,
"Product_Type": product_type,
"Product_MRP": product_mrp,
"Store_Establishment_Year": int(store_est_year),
"Store_Size": store_size,
"Store_Location_City_Type": store_city_type,
"Store_Type": store_type,
}
# Optional fields
if product_id.strip():
payload["Product_Id"] = product_id.strip()
if product_categories != "(leave blank)":
payload["product_categories"] = product_categories
st.markdown("---")
if st.button("Predict"):
if not api_url.strip():
st.error("Please enter your API Base URL.")
else:
try:
endpoint = api_url.rstrip("/") + "/v1/sale"
with st.spinner("Contacting API..."):
resp = requests.post(endpoint, json=payload, timeout=30)
if resp.status_code == 200:
data = resp.json()
if "prediction" in data:
st.success(f"Predicted Sales: **{data['prediction']}**")
else:
st.warning(f"API responded without 'prediction' key:\n{data}")
else:
st.error(f"API error {resp.status_code}: {resp.text}")
except Exception as e:
st.error(f"Request failed: {e}")
with st.expander("Show request payload"):
st.json(payload)
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