app.py

from flask import Flask, request, jsonify
from flask_cors import CORS
import joblib
import numpy as np

app = Flask(__name__)
CORS(app)

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

@app.route('/')
def home():
    return "Model is ready!"

@app.route('/predict', methods=['POST'])
def predict():
    data = request.get_json()
    input_data = np.array(data['input']).reshape(1, -1)
    prediction = model.predict(input_data)
    classes = ['Setosa', 'Versicolor', 'Virginica']
    return jsonify({'prediction': classes[prediction[0]]})

if __name__ == '__main__':
    app.run(debug=True)