app.py

import numpy as np
from flask import Flask, request, jsonify, render_template
import pickle

app = Flask(__name__)
model = pickle.load(open('model.pkl', 'rb'))

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

@app.route('/predict',methods=['POST'])
def predict():
    '''
    For rendering results on HTML GUI
    '''

    int_features = [int(x) for x in request.form.values()]
    final_features = [np.array(int_features)]
    prediction = model.predict(final_features)

    output = round(prediction[0], 2)
    print(output)
    if int(output)==1:
        return render_template('index.html', prediction_text='High chances of heart disease, score = $ {}'.format(output))
    else:
        return render_template('index.html', prediction_text='Low chances of heart disease, score $ {}'.format(output))

if __name__ == "__main__":
    app.run(host='127.0.0.1', port=8080,debug=True)