app.py

from flask import Flask, request, jsonify
import joblib

app = Flask(__name__)

# Cargar el modelo
clf = joblib.load('model.joblib')

@app.route('/predict', methods=['POST'])
def predict():
    data = request.json
    features = [data['SepalLengthCm'], data['SepalWidthCm'], data['PetalLengthCm'], data['PetalWidthCm']]
    prediction = clf.predict([features])
    return jsonify({'prediction': prediction[0]})

if __name__ == '__main__':
    app.run(host='0.0.0.0', port=5000)