def markov_tweet():
""" Generates a tweet using a Markov bot. """
bot = MarkovBot()
read_book(bot, 'alice.txt')
read_book(bot, 'dao.txt')
read_book(bot, 'pride.txt')
read_book(bot, 'sherlock.txt')
read_book(bot, 'oz.txt')
seed_words = ['drink', 'health', 'water', 'river', 'stream']
tweet_content = bot.generate_text(15, seedword=seed_words)
print tweet_content
# Check if the generated content has a seed word in it.
for word in seed_words:
if word in tweet_content:
return tweet_content + ' #DrinkWater'
return None
def markov():
tweetbot = MarkovBot()
dirname = os.path.dirname(os.path.abspath(__file__))
data1 = os.path.join(dirname, 'positiveTweets.txt')
data2 = os.path.join(dirname, '1liner.txt')
data3 = os.path.join(dirname, '10ondate.txt')
data4 = os.path.join(dirname, 'forCachetes.txt')
#data5 = os.path.join(dirname, 'book3.txt')
#data6 = os.path.join(dirname, 'book4.txt')
data7 = os.path.join(dirname, 'jokes.txt')
#data8 = os.path.join(dirname, 'book4.txt')
tweetbot.read(data1)
tweetbot.read(data2)
tweetbot.read(data3)
tweetbot.read(data4)
#tweetbot.read(data5)
#tweetbot.read(data6)
tweetbot.read(data7)
#tweetbot.read(data8)
my_first_text = tweetbot.generate_text(25, seedword=['life', 'motivation', 'happy', 'bullying'])
print("tweetbot says:")
print(my_first_text)
import os
from markovbot import MarkovBot
import json
tweetbot = MarkovBot()
dirname = os.path.dirname(os.path.abspath(__file__))
book = os.path.join(dirname, 'The Dhammapada.txt')
tweetbot.read(book)
my_first_text = tweetbot.generate_text(25, seedword=['way', 'He'])
print("tweetbot says:")
print(my_first_text)
json_data = {}
with open("config.json") as json_file:
json_data = json.loads(json_file.read())
print(json_data)
consumer_key = json_data['consumer_key']
consumer_secret = json_data['consumer_secret']
access_token = json_data['access_token']
access_token_secret = json_data['access_token_secret']
tweetbot.twitter_login(consumer_key, consumer_secret, access_token,
access_token_secret)
targetstring = 'Buddhism'
keywords = ['man', 'always', 'truth', 'ignorant', 'lives']
prefix = None
suffix = '#BuddhismSays'
fFour = (fThree.replace("ACT", " "))
finalDataShake = fFour
'''
'''freud'''
'''
i need to clean this up a lot and add organon
- make methods more recycle --> code is stale
- many authors at once with func
- add learning method --> possible neural net? I want to make training worthwhile....
- add a score to output? compare results to text --> give score and only release the 'good' ones -> but also tell the model that it did a good or bad job
'''
dirname = os.path.dirname(os.path.abspath(__file__))
freudText = os.path.join(dirname, 'training_txt/freudCompleteWorks.txt')
bot.read(freudText)
freudTweets = bot.generate_text(25)
'''
fTwo = (re.sub('[-,_[@?#*"%;()}0-9]', " ", data))
fThree = (fTwo.replace("SCENE" "ACT", " "))
finalSText = fThree'''
''' really????? this is no good, going to fix this week '''
shakeText = os.path.join(dirname, 'training_txt/shakeComplete.txt')
bot2.read(shakeText)
shakeTweets = bot2.generate_text(25)
west_phil_text = os.path.join(dirname, 'training_txt/westPhil.txt')
bot4.read(west_phil_text)
westp_text = bot4.generate_text(25)
russellText = os.path.join(dirname, 'rtraining_txt/russelMath.txt')
bot3.read(russellText)
while(tweetStr_2 == ""):
if sentenceKey[dictNo].has_key(rowResponse['rows'][0][column]):
tweetStr_2 = sentenceKey[dictNo][rowResponse['rows'][0][column]]
else:
column = randint(8,27)
tweetStr = tweetStr_1 + tweetStr_2
return tweetStr
while True:
tweetStr = GetTweetStr(service)
api.update_status(tweetStr)
time.sleep(3600)
# Markovbot for automated replies
tweetbot = MarkovBot()
dirname = os.path.dirname(os.path.abspath(__file__))
book = os.path.join(dirname, u'ebook.txt')
tweetbot.read(book)
my_first_text = tweetbot.generate_text(25, seedword=[u'economy', u'money'])
print(u'\ntweetbot says: "%s"' % (my_first_text))
# Log in to Twitter
tweetbot.twitter_login(cons_key, cons_secret, access_token, access_token_secret)
#Start tweeting periodically
tweetbot.twitter_tweeting_start(days=0, hours=0, minutes=1, keywords=None, prefix=None, suffix=None)
import os
from markovbot import MarkovBot
# Initialise a MarkovBot instance
tweetbot = MarkovBot()
# Get the current directory's path
dirname = os.path.dirname(os.path.abspath(__file__))
print(dirname)
# Construct the path to the book
book = os.path.join(dirname, 'hotep_speak.txt')
# Make your bot read the book!
tweetbot.read(book)
my_first_text = tweetbot.generate_text(25, seedword=['black', 'america'])
print("tweetbot says:")
print(my_first_text)
# ALL YOUR SECRET STUFF!
# Consumer Key (API Key)
cons_key = 'K9YqNYb8j6HA0hgBKLZ1aQ918'
# Consumer Secret (API Secret)
cons_secret = 'BFCDji7mF7sfw2PpdQMEcZ90Poht5E6OMff1XEHb3UeLB8K1Fz'
# Access Token
access_token = '988043632828715008-U4kAofzutxFuPx6c3jCwnrRztm3y5lt'
# Access Token Secret
access_token_secret = 'zNxtfZQb9HU3nRN88uJzJ39H2Ttfk7Vno0Qc3WobX0U5J'
# Log in to Twitter
tweetbot.twitter_login(cons_key, cons_secret, access_token,
access_token_secret)
# Construct the path to the book book = os.path.join(dirname, u'Freud_Dream_Psychology.txt') # Make your bot read the book! tweetbot.read(book) # # # # # # TEXT GENERATION # Generate text by using the generate_text method: # The first argument is the length of your text, in number of words # The 'seedword' argument allows you to feed the bot some words that it # should attempt to use to start its text. It's nothing fancy: the bot will # simply try the first, and move on to the next if he can't find something # that works. my_first_text = tweetbot.generate_text(25, seedword=[u'dream', u'psychoanalysis']) # Print your text to the console print(u'\ntweetbot says: "%s"' % (my_first_text)) # # # # # # TWITTER # The MarkovBot uses @sixohsix' Python Twitter Tools, which is a Python wrapper # for the Twitter API. Find it on GitHub: https://github.com/sixohsix/twitter # ALL YOUR SECRET STUFF! # Make sure to replace the ''s below with your own values, or try to find # a more secure way of dealing with your keys and access tokens. Be warned # that it is NOT SAFE to put your keys and tokens in a plain-text script!
dirname = os.path.dirname(os.path.abspath(__file__)) # Construct the path to the book book = os.path.join(dirname, u'smith_wealth_of_nations.txt') # Make your bot read the book! tweetbot.read(book) # # # # # # TEXT GENERATION # Generate text by using the generate_text method: # The first argument is the length of your text, in number of words # The 'seedword' argument allows you to feed the bot some words that it # should attempt to use to start its text. It's nothing fancy: the bot will # simply try the first, and move on to the next if he can't find something # that works. my_first_text = tweetbot.generate_text(25, seedword=[u'labour', u'capital']) # Print your text to the console print(u'\ntweetbot says: "%s"' % (my_first_text)) # # # # # # TWITTER # The MarkovBot uses @sixohsix' Python Twitter Tools, which is a Python wrapper # for the Twitter API. Find it on GitHub: https://github.com/sixohsix/twitter # ALL YOUR SECRET STUFF! # Make sure to replace the ''s below with your own values, or try to find # a more secure way of dealing with your keys and access tokens. Be warned # that it is NOT SAFE to put your keys and tokens in a plain-text script!
dirname = os.path.dirname(os.path.abspath(__file__)) # Construct the path to the book book = os.path.join(dirname, u'onion_headlines_filtered.txt') # Make your bot read the book! tweetbot.read(book) # # # # # # TEXT GENERATION # Generate text by using the generate_text method: # The first argument is the length of your text, in number of words # The 'seedword' argument allows you to feed the bot some words that it # should attempt to use to start its text. It's nothing fancy: the bot will # simply try the first, and move on to the next if he can't find something # that works. my_first_text = tweetbot.generate_text(maxlength=15) # Print your text to the console print(u'\ntweetbot says: "%s"' % (my_first_text)) """ # # # # # # TWITTER # The MarkovBot uses @sixohsix' Python Twitter Tools, which is a Python wrapper # for the Twitter API. Find it on GitHub: https://github.com/sixohsix/twitter # ALL YOUR SECRET STUFF! # Make sure to replace the ''s below with your own values, or try to find # a more secure way of dealing with your keys and access tokens. Be warned # that it is NOT SAFE to put your keys and tokens in a plain-text script!
import os
from markovbot import MarkovBot
tweetbot = MarkovBot()
dirname = os.path.dirname(os.path.abspath(__file__))
headline = os.path.join(dirname, 'hosking_headlines.txt')
comment = os.path.join(dirname, 'hosking_comments.txt')
gen = input('Generate headline? Y/N\n')
while True:
if gen == 'Y' or gen == 'y':
tweetbot.read(headline)
gen_head = tweetbot.generate_text(10)
print(u'\nMike Hosking: %s' % (gen_head))
tweetbot.clear_data()
tweetbot.read(comment)
gen_comm = tweetbot.generate_text(30)
print('COMMENT: %s' % (gen_comm))
gen = input(u'\nGenerate headline? Y/N\n')
elif gen == 'N' or gen == 'n':
exit()
elif gen != 'Y' and gen != 'N' and gen != 'y' and gen != 'n':
print(u'\nInput was not Y or N')
gen = input(u'\nGenerate headline? Y/N\n')
import time
import sys
from markovbot import MarkovBot
reload(sys)
sys.setdefaultencoding('utf-8')
# Initialise a MarkovBot instance
tweetbot = MarkovBot()
# Make your bot read the book!
tweetbot.read(
'https://github.com/gini10/akelarreciberfeminista/blob/master/bots/ZorraMutante.py'
)
my_first_text = tweetbot.generate_text(
10, seedword=[u'código', u'lÃmite', u'hay'])
print(u'\ntweetbot says: "%s"' % (my_first_text))
# ALL YOUR SECRET STUFF!
# Consumer Key (API Key)
cons_key = '[ copy this value from Consumer Settings ]'
# Consumer Secret (API Secret)
cons_secret = '[ copy this value from Consumer Settings ]'
# Access Tokenf
access_token = '[ copy this value from Your Access Token ]'
# Access Token Secret
access_token_secret = '[ copy this value from Your Access Token ]'
# Log in to Twitter
tweetbot.twitter_login(cons_key, cons_secret, access_token,
access_token_secret)
import os
import time
from markovbot import MarkovBot
tweetbot = MarkovBot()
dirname = os.path.dirname(os.path.abspath(__file__))
book = os.path.join(dirname, 'manifesto.txt')
tweetbot.read(book)
my_text = tweetbot.generate_text(25, seedword=['society', 'bourgeoisie'])
print(my_text)
# Consumer Key (API Key)
cons_key = 'TIShdZ9JgpYIyg8X4oJXAzgFq'
# Consumer Secret (API Secret)
cons_secret = 'qgLQKTadisYeb1T7DIVPNs17U7ce0LUaCAofHss8fiDWDMugpx'
# Access Token
access_token = '1087385094858387459-DijdGpPcFmugx0L86msnc5TOeXj8Gh'
# Access Token Secret
access_token_secret = 'XUAoW9ieporFcgqE1wMJnHEag4rpurUwJzewP7XCkhPgq'
#log in to twitter
tweetbot.twitter_login(cons_key, cons_secret, access_token,
access_token_secret)
#set parameters for auto-replies
targetstring = "capitalism"
keywords = ['cultural', 'economics', 'proletariat', 'bourgeoisie']
prefix = None
suffix = None
maxconvdepth = 1
#start auto-replies
tweetbot.twitter_autoreply_start(targetstring,
keywords=keywords,
prefix=prefix,
dirname = os.path.dirname(os.path.abspath(__file__))
# Construct the path to the book
book = os.path.join(dirname, u'cleaner.trumptweets.txt')
# Make your bot read the book!
tweetbot.read(book)
# # # # #
# TEXT GENERATION
# Generate text by using the generate_text method:
# The first argument is the length of your text, in number of words
# The 'seedword' argument allows you to feed the bot some words that it
# should attempt to use to start its text. It's nothing fancy: the bot will
# simply try the first, and move on to the next if he can't find something
# that works.
my_first_text = tweetbot.generate_text(
25, seedword=[u'loser', u'sad', u'china', u'covfefe'])
# Print your text to the console
print(u'\ntweetbot says: "%s"' % (my_first_text))
# # # # #
# TWITTER
# The MarkovBot uses @sixohsix' Python Twitter Tools, which is a Python wrapper
# for the Twitter API. Find it on GitHub: https://github.com/sixohsix/twitter
# ALL YOUR SECRET STUFF!
# Make sure to replace the ''s below with your own values, or try to find
# a more secure way of dealing with your keys and access tokens. Be warned
# that it is NOT SAFE to put your keys and tokens in a plain-text script!
import os
import time
from markovbot import MarkovBot
tweetbot = MarkovBot()
dirname = os.path.dirname(os.path.abspath(__file__))
book = os.path.join(dirname, 'Communist_Manifesto.txt')
tweetbot.read(book)
my_first_text = tweetbot.generate_text(25, seedword=['communist', 'bourgoise'])
print("tweetbot says: ")
print(my_first_text)
cons_key = '' #Twitter access tokens go here
cons_secret = '' #Twitter access tokens go here
access_token = '' #Twitter access tokens go here
access_token_secret = '' #Twitter access tokens go here
tweetbot.twitter_login(cons_key, cons_secret, access_token, access_token_secret)
targetstring = '#KarlMarx'
keywords = ['communism', 'bourgoise', 'proleterian', 'proleteriat', 'marx', 'socialism']
prefix = 'Karl Marx Here!'
suffix = '#BleepBloop'
maxconvdepth = 2
tweetbot.twitter_autoreply_start(targetstring, keywords=keywords, prefix=prefix, suffix=suffix, maxconvdepth=maxconvdepth)
tweetbot.twitter_tweeting_start(days=0, hours=1, minutes=0, keywords=None, prefix=None, suffix=None)
secsinweek = 7 * 24 * 60 * 60
from random import randint
from markovbot import MarkovBot
import os
bot = MarkovBot()
book = os.path.join(os.path.dirname(os.path.abspath(__file__)),
'realdonaldtrump.txt')
# Make your bot read the text!
bot.read(book)
# Choose how many tweets you want to generate
tweets_to_generate = 150
for x in range(0, tweets_to_generate):
# len of the new tweets that will be generated, in words
tweet_len = randint(10, 25)
# generating tweet, based on its len and seedwords!
tweet = bot.generate_text(tweet_len, seedword=[])
# writting to our generated sentences to the file the poster will use later
sentences_list = open("generated_sentences.txt", "a")
sentences_list.write(tweet + "\n")
sentences_list.close()
#import twitter
#initalise a MarkovBot instance
tweetbot = MarkovBot()
#get the current directory's path
dirname = os.path.dirname(os.path.abspath(__file__))
#construct the path to the book
book = os.path.join(dirname, 'sherlock.txt')
#make your bot read the book!
tweetbot.read(book)
my_first_text = tweetbot.generate_text(25, seedword=['Irene', 'watson','Mycroft'])
print("tweetbot says:")
print(my_first_text)
# ALL YOUR SECRET STUFF!
# Consumer Key (API Key)
cons_key = 'AqYyIzu5jXXYhubZI83WtfmnV'
# Consumer Secret (API Secret)
cons_secret = 'QyqofLZtVJSjgS4L7EltzaxPJrcz23vgyN8zMNZ4dm88HdM1c6'
# Access Token
access_token = '751058612051648514-FGw6PEjNmkIdbWqrC3MfhVYEe8KJyCF'
# Access Token Secret
access_token_secret = 'PFKpoM7ra8rziOc0gs9ci4pT2TGRvn0fRXw5gw8PzYFnp'
# Log in to Twitter
tweetbot.twitter_login(cons_key, cons_secret, access_token, access_token_secret)
import os, ssl
print os.environ['cons_key']
print os.environ['cons_secret']
print os.environ['access_token']
print os.environ['access_token_secret']
from markovbot import MarkovBot
#Initialize a MarkovBot instance
tweetbot = MarkovBot()
dirname = os.path.dirname(os.path.abspath("tmg copy.text"))
# Construct the path to the book
book = os.path.join(dirname, 'tmg copy.text')
# Make your bot read the book!
tweetbot.read(book)
my_first_text = tweetbot.generate_text(25,
seedword=[
'you',
'I am',
'going to',
'my',
'love',
])
print(my_first_text)
tweetbot.twitter_login(os.environ['cons_key'], os.environ['cons_secret'],
os.environ['access_token'],
os.environ['access_token_secret'])
# Start periodically tweeting
#tweetbot.twitter_tweeting_start(days=0, hours=0, minutes=5 keywords=None, prefix=None, suffix=None)
tweetbot._t.statuses.update(status=my_first_text)
# # # # #
# TEXT GENERATION
# Generate text by using the generate_text method:
# The first argument is the length of your text, in number of words
# The 'seedword' argument allows you to feed the bot some words that it
# should attempt to use to start its text. It's nothing fancy: the bot will
# simply try the first, and move on to the next if he can't find something
# that works.
# Print your text to the console
while True:
try:
tweet = tweetbot.generate_text(25, seedword=None)
logger.debug('tweetbot says: ' + tweet)
api.update_status(tweet)
logger.debug("Sleeping for " + str(SLEEPING))
time.sleep(SLEEPING)
logger.debug("Finished sleeping")
except tweepy.TweepError as e:
logger.debug("Teweepy Error " + e.response.text)
pass
# # # # # #
# # TWITTER
# # The MarkovBot uses @sixohsix' Python Twitter Tools, which is a Python wrapper
# # for the Twitter API. Find it on GitHub: https://github.com/sixohsix/twitter
access_token = "" # f_read.split(" ")[2][0:-1]
access_token_secret = ""
cons_key = ""
cons_secret = ""
# Initialise a MarkovBot instance
tweetbot = MarkovBot()
# Get the current directory's path
dirname = os.path.dirname(os.path.abspath(__file__))
# Construct the path to the book
book = os.path.join(dirname, 'ElonMuskTxt.txt')
# Make your bot read the book!
tweetbot.read(book)
my_first_text = tweetbot.generate_text(25, seedword=['space', 'Tesla'])
print("tweetbot says:")
print(my_first_text)
tweetbot.twitter_login(cons_key, cons_secret, access_token,
access_token_secret)
from time import sleep
while True:
tweetbot.twitter_tweeting_start(days=0,
hours=0,
minutes=30,
keywords=[
'SpaceX', 'Tesla', 'Mars', 'Solar',
'Do more', '120 hour work week',
'I am not an alien', 'launch'
import os
import time
from markovbot import MarkovBot
# Initialise a MarkovBot instance
tweetbot = MarkovBot()
# Get the current directory's path
dirname = os.path.dirname(os.path.abspath(__file__))
# Construct the path to the book
book = os.path.join(dirname, 'Freud_Dream_Psychology.txt')
# Make your bot read the book!
tweetbot.read(book)
my_first_text = tweetbot.generate_text()
print("tweetbot says:")
print(my_first_text)
# ALL YOUR SECRET STUFF!
# Consumer Key (API Key)
cons_key = ""
# Consumer Secret (API Secret)
cons_secret = ""
# Access Token
access_token = ""
# Access Token Secret
access_token_secret = ""
# Log in to Twitter
tweetbot.twitter_login(cons_key, cons_secret, access_token,
access_token_secret)
dirname = os.path.dirname(os.path.abspath(__file__)) # Construct the path to the book book = os.path.join(dirname, u'data_amazon_one_star.txt') # Make your bot read the book! tweetbot.read(book) # # # # # # TEXT GENERATION # Generate text by using the generate_text method: # The first argument is the length of your text, in number of words # The 'seedword' argument allows you to feed the bot some words that it # should attempt to use to start its text. It's nothing fancy: the bot will # simply try the first, and move on to the next if he can't find something # that works. my_first_text = tweetbot.generate_text(25, seedword=[u'failed', u'crap']) # Print your text to the console print(u'\ntweetbot says: "%s"' % (my_first_text)) # # # # # # TWITTER # The MarkovBot uses @sixohsix' Python Twitter Tools, which is a Python wrapper # for the Twitter API. Find it on GitHub: https://github.com/sixohsix/twitter # ALL YOUR SECRET STUFF! # Make sure to replace the ''s below with your own values, or try to find # a more secure way of dealing with your keys and access tokens. Be warned # that it is NOT SAFE to put your keys and tokens in a plain-text script!
dirname = os.path.dirname(os.path.abspath(__file__))
# Construct the path to the book
book = os.path.join(dirname, u'Freud_Dream_Psychology.txt')
# Make your bot read the book!
tweetbot.read(book)
# # # # #
# TEXT GENERATION
# Generate text by using the generate_text method:
# The first argument is the length of your text, in number of words
# The 'seedword' argument allows you to feed the bot some words that it
# should attempt to use to start its text. It's nothing fancy: the bot will
# simply try the first, and move on to the next if he can't find something
# that works.
my_first_text = tweetbot.generate_text(25,
seedword=[u'dream', u'psychoanalysis'])
# Print your text to the console
print(u'\ntweetbot says: "%s"' % (my_first_text))
# # # # #
# TWITTER
# The MarkovBot uses @sixohsix' Python Twitter Tools, which is a Python wrapper
# for the Twitter API. Find it on GitHub: https://github.com/sixohsix/twitter
# ALL YOUR SECRET STUFF!
# Make sure to replace the ''s below with your own values, or try to find
# a more secure way of dealing with your keys and access tokens. Be warned
# that it is NOT SAFE to put your keys and tokens in a plain-text script!
# Construct the path to the book book = os.path.join(dirname, u'texto_ejemplo.txt') # Make your bot read the book! tweetbot.read(book) # # # # TEXT GENERATION # Generate text by using the generate_text method: # The first argument is the length of your text, in number of words # The 'seedword' argument allows you to feed the bot some words that it # should attempt to use to start its text. It's nothing fancy: the bot will # simply try the first, and move on to the next if he can't find something # that works. my_first_text = tweetbot.generate_text(25, seedword=[u'ella', u'Alicia']) # Print your text to the console print(u'\ntweetbot says: "%s"' % (my_first_text)) # # # # TWITTER # The MarkovBot uses @sixohsix' Python Twitter Tools, which is a Python wrapper # for the Twitter API. Find it on GitHub: https://github.com/sixohsix/twitter # Credentials with open(text_filename, 'r') as f: twitter_credentials = json.load(f)