app.py

from flask import Flask, request, render_template
import pickle

app = Flask(__name__)  # initialising flask app

model = pickle.load(open('model', 'rb')) # load ml model

@app.route('/', methods=['GET'])
def home():
    return render_template('index.html')


@app.route('/', methods=['POST', 'GET'])
def predict():
    if request.method == 'POST':
        present_price = float(request.form['price'])
        car_age = int(request.form['age'])
        seller_type = request.form['seller']
        fuel_type = request.form['fuel']
        transmission_type = request.form['transmission']

        if fuel_type == 'Diesel':
            fuel_type = 1
        else:
            fuel_type = 0

        if seller_type == 'Individual':
            seller_type = 1
        else:
            seller_type = 0

        if transmission_type == 'Manual':
            transmission_type = 1
        else:
            transmission_type = 0

        #model = pickle.load(open('model', 'rb'))  # load ml model
        prediction = model.predict([[present_price, car_age, fuel_type, seller_type, transmission_type]])
        output = round(prediction[0], 2)

        return render_template('index.html', output="{} $".format(output))


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