| import streamlit as st |
| import requests |
|
|
| st.title("SuperKart Sales Prediction") |
|
|
| |
| product_weight = st.number_input("Product Weight") |
| product_sugar = st.selectbox("Sugar Content", ["Low Sugar", "Regular"]) |
| product_area = st.number_input("Allocated Area") |
| product_type = st.text_input("Product Type") |
| product_mrp = st.number_input("MRP") |
| store_year = st.number_input("Store Year") |
| store_size = st.selectbox("Store Size", ["Small", "Medium", "High"]) |
| store_city = st.selectbox("City Type", ["Tier 1", "Tier 2", "Tier 3"]) |
| store_type = st.text_input("Store Type") |
| product_category = st.text_input("Product Category") |
| product_id_char = st.text_input("Product ID Char") |
|
|
| if st.button("Predict"): |
| url = "https://muleex12-backends.hf.space/predict" |
|
|
| data = { |
| "Product_Weight": product_weight, |
| "Product_Sugar_Content": product_sugar, |
| "Product_Allocated_Area": product_area, |
| "Product_Type": product_type, |
| "Product_MRP": product_mrp, |
| "Store_Establishment_Year": store_year, |
| "Store_Size": store_size, |
| "Store_Location_City_Type": store_city, |
| "Store_Type": store_type, |
| "Product_Type_Category": product_category, |
| "Product_Id_char": product_id_char |
| } |
|
|
| response = requests.post(url, json=data) |
|
|
| if response.status_code == 200: |
| result = response.json() |
| st.success(f"Predicted Sales: {result['prediction']}") |
| else: |
| st.error("Error getting prediction") |
