A simple example of parsing a Twitter feed and spitting out a generated tweet via Markov chains.
This requires having a Twitter API App setup on their dev platform.
# 1) Clone, install python requests library
pip install requests
# 2) Set a base-64 encoded auth string as TWITTER_API_KEY (See Twitter API App docs)
export TWITTER_API_KEY=[KEY]
# 3) Run against a Twitter account, optionally speficying the number of tweets to pull as a base
python markov.py derekryansound 200While the markov.py is the runnable script, the actual processing is in lib/CheapMarkov.py and lib/TweetFeeder.py