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import streamlit as st
import requests
st.title("Super Kart UI") #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.text_input("Product_Allocated_Area") #Complete the code to define the UI element for Product_Allocated_Area
Product_MRP = st.number_input("Product_MRP") #Complete the code to define the UI element for Product_MRP
Store_Size = st.selectbox("Store_Size", ["Small", "Medium", "High"]) #Complete the code to define the UI element for Store_Size
Store_Location_City_Type = st.selectbox("Store_Location_City_Type", ["Tier 1", "Tier 2", "Tier 3"]) #Complete the code to define the UI element for Store_Location_City_Type
Store_Type = st.selectbox("Store_Type" ,["Departmental Store","Supermarket Type1", "Supermarket Type2","Food Mart"]) #Complete the code to define the UI element for Store_Type
Product_Id_char = st.selectbox("Product_Id_char",["FD","NY"]) #Complete the code to define the UI element for Product_Id_char
Store_Age_Years = st.selectbox("Store_Age_Years",[1,2,3,4,5,6,7]) #Complete the code to define the UI element for Store_Age_Years
Product_Type_Category = st.selectbox("Product_Type_Category",["Perishables","Non Perishables"]) #Complete the code to define the UI element for Product_Type_Category
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'):
st.write(f"Predicted API Triggered:")
response = requests.post("https://rajoosho-learning-api.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")
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