app.py

import joblib
import pandas as pd
from flask import Flask, request, jsonify

import time
start = time.time()

# Initialize Flask app with a name
app = Flask("Superkart Sales Predictor")

# Load the trained churn prediction model
#model = joblib.load("superkart_sales_prediction_model_v1_0.joblib")

print(f"Model loaded in {time.time() - start:.2f} seconds")

# Define a route for the home page
@app.get('/')
def home():
    return "Welcome to the Superkart Sales Prediction API"

# Run the Flask app in debug mode
if __name__ == '__main__':
    app.run(debug=True)