| import streamlit as st |
| import requests |
|
|
| API_URL = "https://nohafx-superkart-predictor.hf.space/predict" |
|
|
| st.title("🛒 SuperKart Product Sales Predictor") |
| st.write("Enter product and store details to predict sales.") |
|
|
| product_weight = st.number_input("Product Weight", min_value=0.0, value=12.5) |
| product_sugar = st.selectbox("Product Sugar Content", ["Low Fat", "Regular", "Low Sugar"]) |
| product_area = st.number_input("Product Allocated Area", min_value=0.0, max_value=1.0, value=0.05) |
| product_type = st.selectbox("Product Type", [ |
| "Snack Foods", "Dairy", "Fruits and Vegetables", |
| "Frozen Foods", "Household", "Baking Goods", |
| "Canned", "Health and Hygiene", "Soft Drinks", |
| "Meat", "Breads", "Hard Drinks", "Others", |
| "Starchy Foods", "Breakfast", "Seafood" |
| ]) |
| product_mrp = st.number_input("Product MRP", min_value=0.0, value=150.75) |
| store_size = st.selectbox("Store Size", ["Small", "Medium", "High"]) |
| store_location = st.selectbox("Store Location City Type", ["Tier 1", "Tier 2", "Tier 3"]) |
| store_type = st.selectbox("Store Type", [ |
| "Supermarket Type1", "Supermarket Type2", |
| "Supermarket Type3", "Grocery Store" |
| ]) |
| store_age = st.number_input("Store Age (Years)", min_value=0, value=15) |
|
|
| if st.button("🔍 Predict Sales"): |
| input_data = { |
| "Product_Weight": product_weight, |
| "Product_Sugar_Content": product_sugar, |
| "Product_Allocated_Area": product_area, |
| "Product_Type": product_type, |
| "Product_MRP": product_mrp, |
| "Store_Size": store_size, |
| "Store_Location_City_Type": store_location, |
| "Store_Type": store_type, |
| "Store_Age": store_age |
| } |
| try: |
| response = requests.post(API_URL, json=input_data) |
| if response.status_code == 200: |
| prediction = response.json()["prediction"] |
| st.success(f"✅ Predicted Sales: **${prediction:,.2f}**") |
| else: |
| st.error(f"❌ Error: {response.text}") |
| except Exception as e: |
| st.error(f"❌ Connection Error: {str(e)}") |
|
|
