main.py

from flask import Flask, request, render_template
from distances import hamming, euclidean, manhattan
from nlp import similarity


class DistanceCalculator(object):
	def __init__(self, sentence1, sentence2):
		self.ham = hamming(sentence1, sentence2)
		self.euc = euclidean(sentence1, sentence2)
		self.man = manhattan(sentence1, sentence2)
		self.w2v = similarity(sentence1, sentence2)
		self.res = [self.ham, self.euc, self.man, self.w2v]

app = Flask(__name__, static_folder='static')

@app.route('/', methods=['GET', 'POST'])
def splash():
	s1 = request.args.get('sentence1')
	s2 = request.args.get('sentence2')

	if s1 is not None and s2 is not None:
		dist = DistanceCalculator(s1, s2)
		res = dist.res
	else:
		res = None

	return render_template("index.html", sentence1=s1, sentence2=s2, res=res)


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