Upload folder using huggingface_hub

app.py

@@ -1,3 +1,44 @@
+import requests
 import streamlit as st
-st.title("✅ Streamlit is working!")
-st.write("Hello from Hugging Face 🤗")
+import pandas as pd
+
+st.title("Product Store Sales Total")
+
+st.subheader("Online Prediction")
+
+# Input fields for customer data
+ProductID = st.text_input("Product ID")
+Product_Weight = st.number_input("Product Weight (e.g., 12.5)", min_value=0.0, value=100.0)
+Product_Sugar_Content = st.selectbox("Product Sugar Content", ["Low Sugar", "Regular", "No Sugar"])
+Product_Allocated_Area = st.number_input("Product Allocated Area (e.g., 0.05)", min_value=0.0, value=0.5)
+Product_Type = st.selectbox("Product Type", ['Soft Drinks', 'Dairy', 'Snack Foods', 'Household', 'Baking Goods',
+       'Others', 'Health and Hygiene', 'Meat', 'Fruits and Vegetables',
+       'Breads', 'Frozen Foods', 'Canned', 'Hard Drinks', 'Seafood',
+       'Starchy Foods', 'Breakfast'])
+Product_MRP = st.number_input("Product MRP (e.g., 145.0)", min_value=0.0, value=14500.0)
+Store_Establishment_Year = st.number_input("Store Establishment Year", min_value=1980, max_value=2025, value=2009)
+Store_Size = st.selectbox("Store Size", ["High", "Medium", "Small"])
+Store_Location_City_Type = st.selectbox("City Type", ["Tier 1", "Tier 2", "Tier 3"])
+Store_Type = st.selectbox("Store Type", ["Departmental Store", "Supermarket Type1", "Supermarket Type2", "Food Mart"])
+
+# Prepare the JSON payload
+product_data = {
+    "Product_Weight": Product_Weight,
+    "Product_Sugar_Content": Product_Sugar_Content,
+    "Product_Allocated_Area": Product_Allocated_Area,
+    "Product_Type": Product_Type,
+    "Product_MRP": Product_MRP,
+    "Store_Establishment_Year": Store_Establishment_Year,
+    "Store_Size": Store_Size,
+    "Store_Location_City_Type": Store_Location_City_Type,
+    "Store_Type": Store_Type
+}
+
+if st.button("Predict", type='primary'):
+    response = requests.post("https://hsaluja431-Backend.hf.space/v1/product", json=product_data)    # enter user name and space name before running the cell
+    if response.status_code == 200:
+        result = response.json()
+        product_store_total_sales = result["Product Store Sales Total"]  # Extract only the value
+        st.write(f"Based on the information provided, the product with ID {ProductID} is having sales total as {product_store_total_sales}.")
+    else:
+        st.error("Error in API request")