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
	'''
	features = [int(x) for x in request.form.values()]

	# re-arranging the list as per data set
	feature_list = [features[4]] + features[:4] + features[5:11][::-1] + features[11:17][::-1] + features[17:][::-1]
	features_arr = [np.array(feature_list)]

	prediction = model.predict(features_arr)

	print(features_arr)
	print("prediction value: ", prediction)

	result = ""
	if prediction == 1:
		result = "The credit card holder will be Defaulter in the next month"
	else:
		result = "The Credit card holder will not be Defaulter in the next month"

	return render_template('index.html', prediction_text = result)


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