def main():
twitter_auth = tweepy.OAuthHandler(API_KEY, API_SECRET)
twitter_auth.set_access_token(ACCESS_TOKEN, ACCESS_SECRET)
twitter_client = tweepy.API(twitter_auth)
print("building model...")
shuffle(names)
text = ' '.join(names)
chain = Markov([text])
print("making sentence...")
length = randint(20, 35)
result = ''
while len(result) == 0:
result = ''.join(chain.generate_text()[0:length])
result = result.rstrip() + '!'
print('tweeting...')
print(result)
try:
response = twitter_client.update_status(status=result)
print(response)
return response
except tweepy.error.TweepError as e:
print(e)
return e
def main():
twitter_auth = tweepy.OAuthHandler(API_KEY, API_SECRET)
twitter_auth.set_access_token(ACCESS_TOKEN, ACCESS_SECRET)
twitter_client = tweepy.API(twitter_auth)
print("building model...")
shuffle(names)
text = ' '.join(names)
chain = Markov([text])
print("making sentence...")
length = randint(20, 35)
result = ''
while len(result) == 0:
result = ''.join(chain.generate_text()[0:length])
result = result.rstrip() + '!'
print('tweeting...')
print(result)
try:
response = twitter_client.update_status(status=result)
print(response)
return response
except tweepy.error.TweepError as e:
print(e)
return e
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from smarkov import Markov
chain = Markov(["AGACAGACGAC"])
print("".join(chain.generate_text()))
""" Transforms words into a their expanded form - replaces all
abbreviations like "'ll" or "n't"
There are some special case like can't (in tokens ("ca", "n't")) or won't
where we want to replace both forms
Args:
words: words iterator to search and replace
Returns:
words iterator with replaced abbreviations
"""
for word in words:
if word in REPLACE_WORDS:
yield REPLACE_WORDS[word]
else:
yield word
def tokenize(s):
return expanding_words(
re.findall("[A-Z]{2,}(?![a-z])|[A-Z][a-z]+(?=[A-Z])|[\'\w\-]+", s))
scriptDir = os.path.dirname(os.path.realpath(__file__))
inputFile = os.path.join(scriptDir, "./pg1342.txt")
with open(inputFile, "r") as inFile:
corpus = re.split('(?<!\w\.\w.)(?<![A-Z][a-z]\.)(?<=\.|\?)\s',
inFile.read())
chain = Markov(corpus, tokenize=tokenize)
print(join_tokens_to_sentences(chain.generate_text()))
from smarkov import Markov
from glob import glob
import random
import markovify # https://github.com/jsvine/markovify
allwords = []
files = glob('SouthParkData/Season*.csv')
with open(files[random.randrange(len(files))]) as infile:
for line in infile:
words = line[line.find('"'):].replace('\n', '').replace('"', '').split(' ')
if words != ['']:
allwords.append(words)
with open(files[random.randrange(len(files))]) as infile:
text = infile.read()
chain = Markov(allwords)
print(" ".join(chain.generate_text()))
text_model = markovify.Text(text)
for i in range(5):
print(text_model.make_sentence())
def expanding_words(words):
""" Transforms words into a their expanded form - replaces all
abbreviations like "'ll" or "n't"
There are some special case like can't (in tokens ("ca", "n't")) or won't
where we want to replace both forms
Args:
words: words iterator to search and replace
Returns:
words iterator with replaced abbreviations
"""
for word in words:
if word in REPLACE_WORDS:
yield REPLACE_WORDS[word]
else:
yield word
def tokenize(s):
return expanding_words(re.findall("[A-Z]{2,}(?![a-z])|[A-Z][a-z]+(?=[A-Z])|[\'\w\-]+", s))
scriptDir = os.path.dirname(os.path.realpath(__file__))
inputFile = os.path.join(scriptDir, "./pg1342.txt")
with open(inputFile, "r") as inFile:
corpus = re.split(
'(?<!\w\.\w.)(?<![A-Z][a-z]\.)(?<=\.|\?)\s', inFile.read())
chain = Markov(corpus, tokenize=tokenize)
print(join_tokens_to_sentences(chain.generate_text()))