app.py

from flask import Flask, render_template, request
import joblib

app = Flask(__name__)

# Load the trained model
model = joblib.load('iris_model.pkl')

@app.route("/")
def home():
    return render_template("index.html")

@app.route("/predict", methods=['POST'])
def predict():
    if request.method == 'POST':
        # Get values from form
        sl = float(request.form['sl'])
        sw = float(request.form['sw'])
        pl = float(request.form['pl'])
        pw = float(request.form['pw'])

        # Make prediction
        pred = model.predict([[sl, sw, pl, pw]])
        result = pred[0]

        return render_template("index.html", data=result)

if __name__ == '__main__':
    app.run(debug=True, host="0.0.0.0")