app.py

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

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

app = Flask(__name__)

@app.route("/")
def home():
    return {"message": "SuperKart Model API is running!"}

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

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