import nltk

file=open('faceapp.txt','r')
raw=file.read()
tokens = nltk.word_tokenize(raw)
faceapp = nltk.Text(tokens)


# my stopwords are common words I don't want to count, like "a", "an", "the".
stopwords = set(line.strip() for line in open('stopwords.txt'))

# dictionary
wordcount = {}

# spliting words from punctuation so "book" and "book!" counts as the same word
for word in raw.lower().split():
    word = word.replace(".","")
    word = word.replace(",","")
    word = word.replace(":","")
    word = word.replace("\"","")
    word = word.replace("!","")
    word = word.replace("“","")
    word = word.replace("‘","")
    word = word.replace("*","")
    word = word.replace("(","")
    word = word.replace(")","")


faceapp.concordance('a')