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Clean up generate_poem.py a little

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This commit is contained in:
Tyler Hallada 2017-07-10 22:10:02 -04:00
parent e687c2ad61
commit ddee5e4a3b
1 changed files with 37 additions and 38 deletions
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75
generate_poem.py
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@ -3,37 +3,53 @@ import nltk
import random
import re
import string
#import pickle
import csv
import inflect
from count_syllables import count_syllables
#from get_titles import read_titles
#from nltk.corpus import cmudict
#from stat_parser import Parser
class PoemGenerator():
def __init__(self):
#self.corpus = 'melville-moby_dick.txt'
#self.corpus = read_titles()
#self.sents = corpus.sents(self.corpus)
#self.words = corpus.words(self.corpus)
#self.bigrams = list(nltk.bigrams(self.corpus))
class PoemGenerator(object):
def __init__(self, corpus='buzzfeed_facebook_statues.csv'):
self.only_punctuation = re.compile(r'[^\w\s]+$')
self.spaces_and_punctuation = re.compile(r"[\w']+|[.,!?;]")
#self.all_words = [bigram[0] for bigram in self.bigrams
#if not self.only_punctuation.match(bigram[0])]
#self.cfd = nltk.ConditionalFreqDist(self.bigrams)
#cfds_file = 'cfds.p'
#with open(cfds_file, 'rb') as cfds_file:
#self.cfds = pickle.load(cfds_file)
#self.cfd = self.cfds[0]
#self.all_words = list(self.cfd.keys())
self.sents = []
self.words = []
self.all_words = []
self.inflect_engine = inflect.engine()
with open('buzzfeed_facebook_statuses.csv', newline='', encoding='utf-8') as statuses:
self.read_corpus(corpus)
self.bigrams = list(nltk.bigrams(self.words))
self.cfd = nltk.ConditionalFreqDist(self.bigrams)
self.history = []
def read_corpus(self, corpus):
"""Given filename of corpus, populate words, all_words, and sents."""
if corpus.endswith('.csv'):
if 'buzzfeed_facebook_statuses' in corpus:
return self.read_buzzfeed_corpus(corpus)
else:
return self.read_csv_corpus(corpus)
elif corpus.endswith('.txt'):
return self.read_txt_corpus(corpus)
else:
raise TypeError(('Unrecognized corpus file type: %s.' % corpus) +
'".txt" and ".csv" are only supported')
def read_txt_corpus(self, corpus):
with codecs.open(corpus, 'r', 'utf-8') as corpus_content:
text = corpus_content.read()
sents = nltk.tokenize.sent_tokenize(text)
words = nltk.tokenize.word_tokenize(text)
self.sents.extend(sents)
self.words.extend(words)
self.all_words.extend([word for word in words
if not
self.only_punctuation.match(word)])
def read_csv_corpus(self, corpus):
raise NotImplementedError('Haven\'t implemented generic csv reading')
def read_buzzfeed_corpus(self, corpus):
with open(corpus, newline='', encoding='utf-8') as statuses:
reader = csv.reader(statuses, delimiter=',')
for row in reader:
if 'via buzzfeed ' not in row[1].lower(): # only English
@ -49,19 +65,6 @@ class PoemGenerator():
self.all_words.extend([word for word in title
if not
self.only_punctuation.match(word)])
# with codecs.open('trump.txt', 'r', 'utf-8') as corpus:
# text = corpus.read()
# sents = nltk.tokenize.sent_tokenize(text)
# words = nltk.tokenize.word_tokenize(text)
# self.sents.extend(sents)
# self.words.extend(words)
# self.all_words.extend([word for word in words
# if not
# self.only_punctuation.match(word)])
self.bigrams = list(nltk.bigrams(self.words))
self.cfd = nltk.ConditionalFreqDist(self.bigrams)
#self.parser = Parser()
self.history = []
def markov(self, word, n):
if n > 0:
@ -72,8 +75,6 @@ class PoemGenerator():
print('')
def generate_text(self):
#sent = random.choice(self.sents)
#parsed = self.parser.parse(' '.join(sent))
word = random.choice(self.bigrams)[0]
self.markov(word, 15)
@ -139,8 +140,6 @@ class PoemGenerator():
if __name__ == '__main__':
generator = PoemGenerator()
#generator.generate_poem()
generator = PoemGenerator(corpus='buzzfeed_facebook_statuses.csv')
haiku = generator.generate_haiku()
print(haiku)
#generator.generate_endless_poem(None)