app.py

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

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

@app.route("/predict", methods=["POST"])
def predict():
    """
    Predict machine failure
    Expected JSON format:
    {
        "Type": 1,
        "Air temperature [K]": 300.0,
        "Process temperature [K]": 310.0,
        "Rotational speed [rpm]": 1500,
        "Torque [Nm]": 40.0,
        "Tool wear [min]": 100
    }
    """
    data = request.json
    df = pd.DataFrame([data])
    prediction = int(model.predict(df)[0])
    probability = float(model.predict_proba(df)[0][1])

    return jsonify({
        "prediction": prediction,
        "failure_probability": probability,
        "status": "failure" if prediction == 1 else "normal"
    })

@app.route("/health", methods=["GET"])
def health():
    return jsonify({"status": "healthy"})

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