Thomas Ashish Cherian PandaWhoCodes

## constants.py
API_ENDPOINT = "https://tweetassistant.infoassistants.com"

## currency_converter.html
<html>
<head>
  <meta charset="UTF-8">
  <title>Currency Converter</title>
  <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/2.1.4/jquery.min.js"></script>
</head>
<body>
            <label for="amount">Enter amount in ruppess </label>
              <input type="number" id="amount">
          <button  onclick="calculate();">Calculate</button>

## indeed.py
from bs4 import BeautifulSoup
import requests
import re

jobkey = input("Keyword: ") #Get the job title/keyword input from user as string
region = input("Location: ") #Get the geographic region from user as string
jobkey=jobkey.replace(" ","+")
url = "http://www.indeed.co.in/jobs?q={0}&l={1}".format(jobkey, region) #create the url, including the search terms

f = requests.get(url)

## ner.py
import string
from nltk.stem.snowball import SnowballStemmer
import os
from nltk.chunk import conlltags2tree, tree2conlltags
import pickle

# Change here
corpus_root = 'gmb-2.2.0'


## crawler.py
import urllib.request
from urllib.parse import urlsplit, urlunsplit, urljoin, urlparse
import re


class Crawler:
    def __init__(self, url, exclude=None, no_verbose=False):

        self.url = self.normalize(url)
        self.host = urlparse(self.url).netloc

## send.py
import requests
import json


def sendData(data,name):
    if name == True:
        print("Query:\n"+data["name"])
    elif "msg" in data:
        print("Query:\n" + data["msg"])
    data = json.dumps(data)

## gmail_downlaoder.py
import imaplib
from email.parser import BytesParser
from pprint import pprint
import email.header
import time
import json
import csv

# see blog article https://teklern.blogspot.com/2017/11/download-all-your-email-information.html for instructions
# just run add you username and password and configure below for ouput_filename path, and output_type to json or csv

## extract_tags.py
import json
import string

tech_terms = []
with open("tags.json", "r") as f:
    data = json.loads(f.read())
    termlist = []
    for items in data:
        for tags in items["items"]:
            tag = tags["name"]

## QA_generator.py
from nltk.corpus import wordnet as wn
from textblob import TextBlob
# from greenteapress_scraper import get_text
from pytutor_scrapper import scrape
import re
# import wikipedia


class Article:
    """Retrieves and analyzes wikipedia articles"""

## n_grams.py
import csv
from nltk import ngrams
import sys
import collections
import string
translator=str.maketrans('','',string.punctuation)

def to_string(list):
    """
    converts a list into string
	<html>
	<head>
	<meta charset="UTF-8">
	<title>Currency Converter</title>
	<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/2.1.4/jquery.min.js"></script>
	</head>
	<body>
	<label for="amount">Enter amount in ruppess </label>
	<input type="number" id="amount">
	<button onclick="calculate();">Calculate</button>
	from bs4 import BeautifulSoup
	import requests
	import re

	jobkey = input("Keyword: ") #Get the job title/keyword input from user as string
	region = input("Location: ") #Get the geographic region from user as string
	jobkey=jobkey.replace(" ","+")
	url = "http://www.indeed.co.in/jobs?q={0}&l={1}".format(jobkey, region) #create the url, including the search terms

	f = requests.get(url)
	import string
	from nltk.stem.snowball import SnowballStemmer
	import os
	from nltk.chunk import conlltags2tree, tree2conlltags
	import pickle

	# Change here
	corpus_root = 'gmb-2.2.0'
	import urllib.request
	from urllib.parse import urlsplit, urlunsplit, urljoin, urlparse
	import re


	class Crawler:
	def __init__(self, url, exclude=None, no_verbose=False):

	self.url = self.normalize(url)
	self.host = urlparse(self.url).netloc
	import requests
	import json


	def sendData(data,name):
	if name == True:
	print("Query:\n"+data["name"])
	elif "msg" in data:
	print("Query:\n" + data["msg"])
	data = json.dumps(data)
	import imaplib
	from email.parser import BytesParser
	from pprint import pprint
	import email.header
	import time
	import json
	import csv

	# see blog article https://teklern.blogspot.com/2017/11/download-all-your-email-information.html for instructions
	# just run add you username and password and configure below for ouput_filename path, and output_type to json or csv
	import json
	import string

	tech_terms = []
	with open("tags.json", "r") as f:
	data = json.loads(f.read())
	termlist = []
	for items in data:
	for tags in items["items"]:
	tag = tags["name"]
	from nltk.corpus import wordnet as wn
	from textblob import TextBlob
	# from greenteapress_scraper import get_text
	from pytutor_scrapper import scrape
	import re
	# import wikipedia


	class Article:
	"""Retrieves and analyzes wikipedia articles"""
	import csv
	from nltk import ngrams
	import sys
	import collections
	import string
	translator=str.maketrans('','',string.punctuation)

	def to_string(list):
	"""
	converts a list into string