app.py

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

# Load the serialized model
model = joblib.load("best_sales_forecasting_model.pkl")

# Define app
app = Flask(__name__)

# Health check
@app.route("/", methods=["GET"])
def home():
    return "SuperKart Sales Forecasting API is live!"

# Prediction endpoint
@app.route("/predict", methods=["POST"])
def predict():
    try:
        input_data = request.get_json()
        df = pd.DataFrame([input_data])
        prediction = model.predict(df)
        return jsonify({"predicted_sales": prediction[0]})
    except Exception as e:
        return jsonify({"error": str(e)})

if __name__ == "__main__":
    app.run(host="0.0.0.0", port=7860)