Sweet dolla tea from McDonald's: I drink that
Supa hot 🔥 fire 🔥: I spit that
Two and a Half Men: I watch that
supajank gets a stream of tweets containing 'I' or 'we' via Twitter's streaming API. supabotfire looks for tweets in the format of personal pronoun followed by a verb. When it gets a hit, it restructures the sentence and tweets it back at the tweeter. Then it chills out for up to an hour.
Requires NLTK and tweepy. To install:
pip2 install -r requirements.txt
Also requires the maxent_treebank_pos_tagger and punkt packages for NLTK. To install, run the following in the python2 interpreter:
import nltk
nltk.download()
Should be self-explanatory from here.
Glasses, jacket, shirt
Call me glasses jacket shirt man
Or call me supa hot, boy
💯 degrees, leather jacket, cuz I'm supa hot, BOIIIIIIII
Twitter API keys are stored in a file called supabotfire.ini which should look something like:
[twitter]
consumer.key = ukey
consumer.secret = usecret
access.key = utoken
access.secret = usecret
Get API keys here
Boom, bam, bop
Badda bop boom POW 💥