def hello(r="hf9831h1rgfewuifgasjkbzxg1e"):
filename='mycorpus.txt'
markovLength=2
if (markov.mapping=={}):
markov.buildMapping(markov.wordlist(filename),markovLength)
sentence = markov.genSentence(markovLength, r.lower())
page = "<!DOCTYPE html><html><header><title>JAMLITBOT</title><style type='text/css'>a {color:black;text-decoration:none;font-size:16pt;}</style></header><body>"
for word in sentence.split():
page += "<a href='"+word.translate(string.maketrans("",""),string.punctuation)+"'>"+word+"</a> "
page += "<br><br><a href='/'>reload</a></body></html>"
return page
def hello(r="hf9831h1rgfewuifgasjkbzxg1e"):
filename = 'mycorpus.txt'
markovLength = 2
if (markov.mapping == {}):
markov.buildMapping(markov.wordlist(filename), markovLength)
sentence = markov.genSentence(markovLength, r.lower())
page = "<!DOCTYPE html><html><header><title>JAMLITBOT</title><style type='text/css'>a {color:black;text-decoration:none;font-size:16pt;}</style></header><body>"
for word in sentence.split():
page += "<a href='" + word.translate(string.maketrans(
"", ""), string.punctuation) + "'>" + word + "</a> "
page += "<br><br><a href='/'>reload</a></body></html>"
return page
def main():
if len(sys.argv) < 2:
sys.stderr.write("Usage: " + sys.argv[0] + " text_source [chain_length=1]\n")
sys.exit(1)
filename = sys.argv[1]
markovLength = 1
if len(sys.argv) == 3:
markovLength = int(sys.argv[2])
markov.buildMapping(markov.wordlist(filename), markovLength)
print markov.genSentence(markovLength)
#!/usr/bin/python
import init_twit as tw
import markov, sys, time
markovLength = 3
# change to the absolute path to your corpus file so you can run from anywhere
source_file = '/home/jk/Code/jambot/corpora/corpus.txt'
# optional command line parameters: path/to/corpus_file.txt n-gram_size
if len (sys.argv) >= 2:
source_file = sys.argv[1]
if len (sys.argv) == 3:
markovLength = int (sys.argv[2])
if (markov.mapping=={}):
markov.buildMapping(markov.wordlist(source_file),markovLength)
def genTweet():
sentence = markov.genSentence(markovLength)
while (len (sentence) > 130 or len(sentence) < 30):
sentence = markov.genSentence(markovLength)
return sentence
while True:
results = tw.twitter.search(q="@"+tw.handle,since_id=tw.last_id_replied)['results']
if not results:
print "Nobody's talking to me...\n"
for result in results:
question = result['text'].replace('@jmkp','')
asker = result['from_user']
status_id = str(result['id'])
