app.py

from flask import Flask, render_template, request
import joblib
from sklearn.linear_model import LogisticRegression

app = Flask(__name__)

# Predicting using Saved Model
model = joblib.load('iris_model.pkl')

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

@app.route("/predict", methods=['POST'])
def predict():
    pred = model.predict([[6.6,2.8,5.8,1.7]])
    result = pred[0]
    return render_template("index.html", data=result)

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