def get_profanities(words, custom_profanities=None):
pf = ProfanityFilter()
if custom_profanities is not None:
pf.custom_profane_word_dictionaries = {'en': custom_profanities}
swears = []
for w in words:
cw = pf.censor_word(w)
if cw.is_profane:
swears.append(cw.original_profane_word)
return swears
#!/usr/bin/env python
from flask import Flask, render_template
from flask import jsonify, request
from flask_cors import CORS, cross_origin
from flask import Response
from textblob import TextBlob, Word
from profanity_filter import ProfanityFilter
pf = ProfanityFilter()
profane_words_file = open("./profane_words2", 'r')
profane_words = {str(line[:-1]) for line in profane_words_file.readlines()}
pf.custom_profane_word_dictionaries = {'en': profane_words}
app = Flask(__name__)
app.config['CORS_HEADERS'] = 'Content-Type'
CORS(app, resources={r"/*": {"origins": "*"}})
@app.route('/auto_correction', methods=["POST"])
def predict():
sug_words = {}
profane_words = []
text = request.json['text'].split()
for i in text:
i = i.lower()
if (pf.censor_word(i).original_profane_word is not None):
profane_words.append(pf.censor_word(i).original_profane_word)
for i in text:
if (Word(i).spellcheck()[0][1] < 1.0):