app.py

from flask import Flask, render_template, request
from datetime import datetime
import pytz
import joblib

app = Flask(__name__)  # Inilitize the flask app

# Load the saved model
loaded_model = joblib.load('irismodel.joblib')


@app.route('/')
def index():
    dt = datetime.now(pytz.timezone('Asia/Kolkata')
                      ).strftime('%Y-%m-%d %H:%M:%S')
    return render_template('index.html', dt=dt)


@app.route('/predict')
def predictpage():
    return render_template('predictpage.html')


@app.route('/predictiris', methods=['POST'])
def predict():
    sepal_length = float(request.form['sepal_length'])
    sepal_width = float(request.form['sepal_width'])
    petal_length = float(request.form['petal_length'])
    petal_width = float(request.form['petal_width'])
    new_data = [[sepal_length, sepal_width, petal_length, petal_width]]
    prediction = loaded_model.predict(new_data)
    prediction = prediction[0]
    return render_template('predictpage.html', prediction=prediction)


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