app.py

import streamlit as st
import requests

st.title("Superkart Prediction")

# Input fields for product and store data
Product_Weight = st.number_input("Product Weight", min_value=0.0, value=12.66)
Product_Sugar_Content = st.selectbox("Product Sugar Content", ["Low Sugar", "Regular", "No Sugar", "reg"])
Product_Allocated_Area = st.number_input("Product Allocated Area", min_value=0.0, max_value=1.0, value=0.027)
Product_MRP = st.number_input("Product MRP", min_value=0.0, value=117.08)
Store_Age_Years = st.number_input("Store Age in years", min_value=0, max_value=100, value=10)
Store_Size = st.selectbox("Store Size", ["Small", "Medium", "High"])
Store_Location_City_Type = st.selectbox("Store Location City Type", ["Tier 1", "Tier 2", "Tier 3"])
Store_Type = st.selectbox("Store Type", ["Departmental Store", "Supermarket Type1", "Supermarket Type2", "Food Mart"])
Product_Type = st.selectbox("Product Type", ['Perishables', 'Non Perishables'])

product_data = {
    "Product_Weight": Product_Weight,
    "Product_Sugar_Content": Product_Sugar_Content,
    "Product_Allocated_Area": Product_Allocated_Area,
    "Product_MRP": Product_MRP,
    "Store_Age_Years": Store_Age_Years,
    "Store_Size": Store_Size,
    "Store_Location_City_Type": Store_Location_City_Type,
    "Store_Type": Store_Type,
    "Product_Type": Product_Type
}

if st.button("Predict", type='primary'):
    # Replace 'ansarkar' with your Hugging Face username and 'superkart' with your backend space name
    response = requests.post("https://ansarkar-superkart-be.hf.space/v1/predict", json=product_data)
    if response.status_code == 200:
        result = response.json()
        predicted_sales = result["Sales"]
        st.write(f"Predicted Product Store Sales Total: {predicted_sales:.2f}$")
    else:
        st.error(f"Error in API request: {response.status_code} - {response.text}")