async def on_message(message):
if message.author == client.user:
return
if message.content.startswith('ham me'):
filename = sys.argv[1:]
raw_text = markov.open_and_read_file(filename)
markov_chains = markov.make_chains(raw_text)
markov_text = markov.make_text(markov_chains)
await message.channel.send(markov_text)
def first_tweet():
input_path = argv[1]
# Open the file and turn it into one long string
input_text = markov.open_and_read_file(input_path)
# Get a Markov chain
chains = markov.make_chains(input_text, int(argv[2]))
new_tweet = markov.make_text(chains, int(argv[2]))
api.PostUpdate(new_tweet)
print new_tweet
return chains
def first_tweet():
input_path = argv[1]
# Open the file and turn it into one long string
input_text = markov.open_and_read_file(input_path)
# Get a Markov chain
chains = markov.make_chains(input_text, int(argv[2]))
new_tweet = markov.make_text(chains, int(argv[2]))
api.PostUpdate(new_tweet)
print new_tweet
return chains
import twitter
import sys
from markov import open_and_read_file, make_chains, make_text, char_limit
# from tweet_dumper import get_all_tweets
api = twitter.Api(
consumer_key=os.environ['TWITTER_CONSUMER_KEY'],
consumer_secret=os.environ['TWITTER_CONSUMER_SECRET'],
access_token_key=os.environ['TWITTER_ACCESS_TOKEN_KEY'],
access_token_secret=os.environ['TWITTER_ACCESS_TOKEN_SECRET'])
# print api.VerifyCredentials()
input_text = sys.argv[1]
text = open_and_read_file(input_text)
chains = make_chains(text)
long_text = make_text(chains)
tweet = char_limit(long_text)
status = api.PostUpdate(tweet)
print status.text
# tweet source brainstorm
# Oscar Wilde
# Mark Twain
# Shakespeare
# Miley Cyrus
# Andy Borowitz
# The Onion
# Internation Declaration of Human Rights
import markov
import os
import sys
api = twitter.Api(
consumer_key=os.environ['TWITTER_CONSUMER_KEY'],
consumer_secret=os.environ['TWITTER_CONSUMER_SECRET'],
access_token_key=os.environ['TWITTER_ACCESS_TOKEN_KEY'],
access_token_secret=os.environ['TWITTER_ACCESS_TOKEN_SECRET'])
print(api.VerifyCredentials())
input_path = sys.argv[1]
# Open the file and turn it into one long string
input_text = markov.open_and_read_file(input_path)
# Get a Markov chain
chains = markov.make_n_gram_chains(input_text, 2)
while True:
# Produce random phrase of given character length
# print generate_phrase(chains)
tweet = markov.make_a_phrase(chains)
# Send a tweet:
status = api.PostUpdate(tweet)
print status.text
print "Would you like to Tweet again? (If yes press Enter, if no, press q: "
answer = raw_input(">> ")
if answer == "":
import markov
import sys
input_path = sys.argv[1]
friends_text = markov.open_and_read_file(input_path) # open file
#split text on newlines, get rid of empty strings
script_lines = friends_text.split("\n")
script_lines = filter(None, script_lines)
def name_markov(full_text):
"""Takes the full text of the script and parses into list of names
calls make_chains and returns a dicttionary of names"""
names = []
char_dict = {}
for line in full_text:
if ":" in line:
line_list = line.split(":")
names.append(line_list[0])
char_dict[line_list[0]] = char_dict.get(line_list[0], [])
char_dict[line_list[0]].append(line_list[1])
for char in char_dict.keys():
char_dict[char] = " ".join(char_dict[char])
names_text = " ".join(names)
names_dict = markov.make_chains(names_text, 2)