app.py

from flask import Flask, request, jsonify

import joblib

import pandas as pd




app = Flask(__name__)

model = joblib.load("tuned_xgboost_model.pkl")




@app.route('/')

def home():

    return "SuperKart Sales Forecast Modal Deployment API"




@app.route('/predict', methods=['POST'])

def predict():

    try:

        data = request.get_json()

        input_df = pd.DataFrame([data])

        prediction = model.predict(input_df)[0]

        return jsonify({'Predicted_Sales': round(float(prediction), 2)})

    except Exception as e:

        return jsonify({'error': str(e)})




if __name__ == '__main__':

    app.run(host='0.0.0.0', port=7860)