Fun with Markov Chains, Python, and Twilio SMS

A Python script uses Markov chains, Programmable SMS, and Twitter API to create a bot that impersonates Donald Trump's tweeting style. The script downloads all tweets from Trump's account, strips out unnecessary text, and generates sentences based on these texts using a Markov chain model. The generated sentences are then used to reply to incoming SMS messages via Twilio. The script uses Flask for handling HTTP requests and Twilio's helper library for generating TwiML responses. The project showcases how to use Twitter API, Python, and Twilio to create an interactive bot that can engage with users through text messages.