app.py

# Import necessary libraries
import numpy as np
import joblib
import pandas as pd
from flask import Flask, request, jsonify

# Initialize the Flask application
Superkart_sales_predictor_api = Flask("SuperKart Store Sales Prediction")

# Load the trained machine learning model
model = joblib.load("best_random_forest_model.joblib")

# Home route
@Superkart_sales_predictor_api.get('/')
def home():
    return "Welcome to the SuperKart Store Sales Prediction API!"

# Single prediction endpoint
@Superkart_sales_predictor_api.post('/v1/sales')
def predict_sales_price():
    try:
        store_data = request.get_json()
        sample = {
            'Product_Weight': store_data['Product_Weight'],
            'Product_Sugar_Content': store_data['Product_Sugar_Content'],
            'Product_Allocated_Area': store_data['Product_Allocated_Area'],
            'Product_Type': store_data['Product_Type'],
            'Product_MRP': store_data['Product_MRP'],
            'Store_Id': store_data['Store_Id'],
            'Store_Establishment_Year': store_data['Store_Establishment_Year'],
            'Store_Size': store_data['Store_Size'],
            'Store_Type': store_data['Store_Type'],
            'Store_Location_City_Type': store_data['Store_Location_City_Type']
        }
        input_data = pd.DataFrame([sample])
        predicted_sale = model.predict(input_data)[0]
        predicted_sale = round(float(predicted_sale), 2)
        return jsonify({'Predicted Sales (in dollars)': predicted_sale})
    except Exception as e:
        print("ERROR in /v1/sales:", str(e))
        return jsonify({'error': str(e)}), 500

# Batch prediction endpoint
@Superkart_sales_predictor_api.post('/v1/salesbatch')
def predict_sales_price_batch():
    try:
        file = request.files['file']
        input_data = pd.read_csv(file)
        predicted_sale = model.predict(input_data).tolist()
        store_ids = input_data['Store_Id'].tolist()
        output_dict = dict(zip(store_ids, predicted_sale))
        return jsonify(output_dict)
    except Exception as e:
        print("ERROR in /v1/salesbatch:", str(e))
        return jsonify({'error': str(e)}), 500

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