app.py

import streamlit as st
import requests
import pandas as pd
import json


st.title("SuperKart Sales Prediction")
st.subheader("Online Superkart prediction")



product_weight = st.number_input("Product Weight")
product_area = st.number_input("Product_Allocated_Area")
product_mrp = st.number_input("Product MRP(Rs)")
age_of_store = st.number_input("Age of Store")
store_size = st.selectbox("Store Size",["Small","Medium","High"])
store_city = st.selectbox("Store location citytype",["Tier 1","Tier 2", "Tier 3"])
product_type = st.selectbox("Product Type", ["Dairy", "Soft Drinks", "Meat", "Fruits and Vegetables", "Household",
        "Baking Goods", "Snack Foods", "Frozen Foods", "Breakfast", "Health and Hygiene",
        "Hard Drinks", "Canned", "Breads", "Starchy Foods", "Others", "Seafood"
        ])



product_sugar = st.selectbox("Product Sugar Content", ["Low Sugar", "Regular", "High Sugar"])
store_type = st.selectbox("Store Type", ["Supermarket Type1", "Supermarket Type2","Food Mart","Departmental Store"])
input_data = {
      'Product_Weight': product_weight,
      'Product_Allocated_Area': product_area,
      'Product_MRP': product_mrp,
      'Age_Of_Store': age_of_store,
      'Store_Size': store_size,
      'Store_Location_City_Type': store_city,
      'Product_Type': product_type,
      'Product_Sugar_Content': product_sugar,
      'Store_Type': store_type
      }

if st.button("Sales Prediction"):
  api_url = "https://jpkarthikeyan-Superkart-Prediction-API.hf.space/predict"
  #api_url = "http://localhost:7860/predict"
  headers_info = {'Content-Type':'application/json'}
  try:
    #st.write(f"Prediction features",json.dumps(input_data.to_dict(oreient='records')[0],indent=2))
    st.write(f"Prediction features",json.dumps(input_data,indent=2))
    #response = requests.post(api_url, json=input_data.to_dict(orient='records')[0],headers=headers_info)
    response = requests.post(api_url, json=input_data,headers=headers_info)
    st.write(f"Status Code: {response.status_code}")
    if response.status_code == 200:
      result = response.json()
      st.write(response.text)
      # predicted_sales = result.get('prediction','No prediction retured')
      # print(f"Predicted store sales total: {predicted_sales}")
    else:
      st.write(f"Exception: {response.text}")
  except requests.exceptions.RequestException as ex:
    st.write(f"Exception: {ex}")