Spaces:
Sleeping
Sleeping
File size: 2,836 Bytes
cff19c5 5282a1b cff19c5 5282a1b cff19c5 344052b cff19c5 344052b cff19c5 344052b cff19c5 344052b cff19c5 344052b cff19c5 344052b cff19c5 344052b |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 |
import streamlit as st
import requests
import pandas as pd
# Configure page
st.set_page_config(page_title="SuperKart Sales Estimator", layout="centered")
st.title("SuperKart Sales Forecast Tool")
# Input form
st.subheader("Provide Product & Store Information")
col_left, col_right = st.columns(2)
with col_left:
#product_id = st.text_input("Product ID", value="P0001")
weight = st.number_input("Product Weight (in kg)", min_value=0.0, step=0.1, value=1.0)
sugar_level = st.selectbox("Sugar Content", ["Low", "Medium", "Regular", "reg"])
allocated_area = st.number_input("Display Area (sq.m)", min_value=0.01, step=0.01, value=1.5)
category = st.selectbox("Category", [
"Baking Goods", "Canned", "Dairy", "Frozen Foods", "Health and Hygiene",
"Household", "Meat", "Others", "Snack Foods", "Soft Drinks", "Starchy Foods"
])
mrp = st.number_input("MRP ($)", min_value=1.0, max_value=1000.0, step=1.0, value=100.0)
with col_right:
#store_id = st.text_input("Store ID", value="S0001")
establishment_year = st.number_input("Year Store Opened", min_value=1990, max_value=2025, step=1, value=2010)
store_size = st.selectbox("Store Size", ["Small", "Medium", "High"])
city_tier = st.selectbox("Location Tier", ["Tier 1", "Tier 2", "Tier 3"])
store_format = st.selectbox("Store Type", ["Supermarket Type1", "Supermarket Type2", "Supermarket Type3", "Grocery Store"])
# Create JSON payload
payload = {
#"Product_ID": product_id,
"Product_Weight": weight,
"Product_Sugar_Content": sugar_level,
"Product_Allocated_Area": allocated_area,
"Product_Type": category,
"Product_MRP": mrp,
#"Store_ID": store_id,
"Store_Establishment_Year": establishment_year,
"Store_Size": store_size,
"Store_Location_City_Type": city_tier,
"Store_Type": store_format
}
# Button to call API
if st.button("Get Sales Prediction"):
with st.spinner("Processing your request..."):
try:
api_url = "https://mohith96-SuperKartBackend.hf.space/predict"
response = requests.post(api_url, json=payload, timeout=10)
if response.status_code == 200:
result = response.json()
predicted_value = result.get("Predicted_Sales") or result.get("Predicted_Sales_Product")
if predicted_value is not None:
st.success(f"Predicted Sales: $ {predicted_value:.2f}")
else:
st.warning(f"Unexpected response format: {result}")
else:
st.error(f"API returned {response.status_code}: {response.text}")
except requests.exceptions.RequestException as req_err:
st.error(f"API request failed: {req_err}")
except Exception as error:
st.error(f"Unexpected error: {error}")
|