import streamlit as st
import requests

st.title("SuparKart App") #Complete the code to define the title of the app.

# 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"])
Product_Allocated_Area = st.number_input("Product_Allocated_Area", min_value=0.010, value=0.144) 
Product_MRP = st.number_input("Product_MRP", min_value=117.08, value=186.31) 
Store_Size = st.selectbox("Store_Size", ["Small", "Medium", "High"]) 
Store_Location_City_Type = st.selectbox("Store_Location_City_Type", ["Tier1", "Tier2", "Tier3"]) 
Store_Type = st.selectbox("Store_Type", ["Supermarket Type1", "Supermarket Type2", "Departmental store", "Food Mart"]) 
Product_Id_char = st.selectbox("Product_Id_char", ["FD", "NC"]) 
Store_Age_Years = st.number_input("Store_Age_Years", min_value=16, value=38)
Product_Type_Category = st.selectbox("Product_Type_Category", ["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_Size": Store_Size,
    "Store_Location_City_Type": Store_Location_City_Type,
    "Store_Type": Store_Type,
    "Product_Id_char": Product_Id_char,
    "Store_Age_Years": Store_Age_Years,
    "Product_Type_Category": Product_Type_Category
}

if st.button("Predict", type='primary'):
    response = requests.post("https://<user_name>-<space_name>.hf.space/v1/predict", json=product_data)    # Complete the code to enter user name and space name to correctly define the endpoint
    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("Error in API request")