# 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! # 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) # The target string is what the bot will reply to on Twitter. To learn more, # read: https://dev.twitter.com/streaming/overview/request-parameters#track targetstring = 'MarryMeFreud' # Keywords are words the bot will look for in tweets it'll reply to, and it # will attempt to use them as seeds for the reply keywords = ['marriage', 'ring', 'flowers', 'children', 'religion'] # The prefix will be added to the start of all outgoing tweets. prefix = None # The suffix will be added to the end of all outgoing tweets. suffix = '#FreudSaysIDo' # The maxconvdepth is the maximum depth of the conversation that the bot will # still reply to. This is relevant if you want to reply to all tweets directed # at a certain user. You don't want to keep replying in the same conversation, # because that would be very annoying. Be responsible, and allow your bot only
# 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!
# Consumer Key (API Key)
cons_key = 'ZSA2kpz1egohMzMm7b3rUNrE3'
# Consumer Secret (API Secret)
cons_secret = 'AE9WmanoXPZrVYkg4keQKOVKRQRaaDtEcHoelMgiBSgu382g8A'
# Access Token
access_token = '1070084671562805248-zFaI5h5HTZppKDl2CUcrVive4QK167'
# Access Token Secret
access_token_secret = 'KR1Q2Dl4pBpQleKr8Rc45rcyJvGHXgmMiiYNzOmJuxQkZ'
# Log in to Twitter
tweetbot.twitter_login(cons_key, cons_secret, access_token,
access_token_secret)
# The target string is what the bot will reply to on Twitter. To learn more,
# read: https://dev.twitter.com/streaming/overview/request-parameters#track
targetstring = 'MarryMeFreud'
# Keywords are words the bot will look for in tweets it'll reply to, and it
# will attempt to use them as seeds for the reply
keywords = ['marriage', 'ring', 'flowers', 'children', 'religion']
# The prefix will be added to the start of all outgoing tweets.
prefix = None
# The suffix will be added to the end of all outgoing tweets.
suffix = '#FreudSaysIDo'
# The maxconvdepth is the maximum depth of the conversation that the bot will
# still reply to. This is relevant if you want to reply to all tweets directed
# at a certain user. You don't want to keep replying in the same conversation,
# because that would be very annoying. Be responsible, and allow your bot only
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! # Consumer Key (API Key) cons_key = '' # Consumer Secret (API Secret) cons_secret = ''
tfidf = vectorizer.fit_transform([text1, text2])
return ((tfidf * tfidf.T).A)[0, 1]
'''
Keys/Tokens:
'''
cons_key = 'TRXh3CDSFBnPuZziANbqssl1l'
cons_secret = 'sIfuEEp6T8qluDkU3S9PLcINoIIqcp0SUTrnwVfvdWhNRlIS6G'
access_token = '863265431691436032-PH9ASi1r3tfXJY90i4HuCVVpcLhUJ6D'
access_token_secret = 'POslJ4RgWsgL7BzUV1WY7xZaI9YXGMmSIFPwA2vcZt1Uf'
# Login, tweet-period
bot.twitter_login(cons_key, cons_secret, access_token, access_token_secret)
bot.twitter_tweeting_start(days=0,
hours=5,
minutes=0,
keywords=None,
prefix=None,
suffix="#Freud")
bot2.twitter_login(cons_key, cons_secret, access_token, access_token_secret)
bot2.twitter_tweeting_start(days=0,
hours=5,
minutes=0,
keywords=None,
prefix=None,
suffix="#Shakespeare")
bot3.twitter_login(cons_key, cons_secret, access_token, access_token_secret)
bot3.twitter_tweeting_start(days=0,
f.write(tweet.text.encode("utf-8") + ' '.encode("utf-8"))
pass
get_all_tweets("kanyewest")
kanyebot = MarkovBot()
# Get the current directory's path
dirname = os.path.dirname(os.path.abspath(__file__))
# Construct the path to the book
tweets = os.path.join(dirname, 'kanyewest_tweets.txt')
# Make your bot read the book!
kanyebot.read(tweets)
kanyebot.twitter_login(consumer_key, consumer_secret, access_key,
access_secret)
# Set some parameters for your bot
targetstring = 'KanyeToTheBot'
keywords = ['kim', 'pablo', 'wavy', 'bill', 'cosby']
prefix = None
suffix = '#KanyeToTheBot'
maxconvdepth = None
# Start periodically tweeting
kanyebot.twitter_tweeting_start(days=0,
hours=0,
minutes=15,
keywords=None,
prefix=None,
suffix='#KanyeToTheBot')
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)
# # #
# 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)
# Log in to Twitter
tweetbot.twitter_login(twitter_credentials['consumer_key'],
twitter_credentials['consumer_secret'],
twitter_credentials['access_key'],
twitter_credentials['access_secret'])
# The target string is what the bot will reply to on Twitter. To learn more,
# read: https://dev.twitter.com/streaming/overview/request-parameters#track
targetstring = 'Orgullo Gay'
# Keywords are words the bot will look for in tweets it'll reply to, and it
# will attempt to use them as seeds for the reply
keywords = ['marriage', 'ring', 'flowers', 'children', 'religion']
# The prefix will be added to the start of all outgoing tweets.
prefix = None
# The suffix will be added to the end of all outgoing tweets.
suffix = '#OrgulloLGTBI'
# The maxconvdepth is the maximum depth of the conversation that the bot will
# still reply to. This is relevant if you want to reply to all tweets directed
# at a certain user. You don't want to keep replying in the same conversation,
