app.py

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

app = Flask(__name__)
model = joblib.load("best_model.pkl")

@app.route("/")
def home():
    return "✅ Flask API with Random Forest is running!"

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

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