app.py

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

# Load model
model = joblib.load("best_model.pkl")

# Initialize app
app = Flask(__name__)

@app.route("/", methods=["GET"])
def root():
    return jsonify({"message": "Sales Forecasting API is live!"})

@app.route("/predict", methods=["POST"])
def predict():
    try:
        input_data = request.get_json()
        input_df = pd.DataFrame([input_data])
        prediction = model.predict(input_df)[0]
        return jsonify({"predicted_sales": round(prediction, 2)})
    except Exception as e:
        return jsonify({"error": str(e)}), 400

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