A sweet tweetbot built at HackBeanpot 2017 by Nabeel Sherazi (Northeastern University), Kyle Coelho (Northeastern University), Cole Wuilleumier (Bunker Hill Community College), Noah Sirin (Berklee College), and Khang Bui (UMass Amherst)
Birdsong is a Twitter bot that intelligently distinguishes haikus leveraging the latest advancements in machine learning technology and plays an accompanying musical arrangement to fit the sentiment of the text. ~ Our buzz-tastic flavor text
🏅 Won 3rd place in Best Use of Indico API and the Genuine #InventTogether Award 🏅
Check out our project listing here!
Meet the real birdsongbot on Twitter! (May or may not be running at the moment)
We dreamed up Birdsong as a collaborative art experience, with a vision to connect people through poetry. Twitter is a medium that allows people from all around the world to talk to each other, but it falls short of real human connection. We wanted to bridge this gap by creating a bot that would give friends on the internet a real voice -- through poetry. When installed, people could gather around Birdsong and hear poetry sent to them from around the world. Together, we're art.
- Cross-platform (Windows, Mac, Linux) thanks to PyTTSx3
- Easy to setup
- Customizable via config.ini
- Spam filter and abuse filter built in
- Cool as heck!!
Create a Twitter account, and open the Twitter Developer console. Obtain a consumer key, consumer secret, access token, and access token secret. Add these keys, and the username of the Twitter account you created, into the config.ini file.
Create an Indico account. Get an API key. Add this to config.ini as well.
In the root directory, install all required modules by running pip install -r requirements.txt
You should now be all set! Start the bot with python start.py. Happy Haikuing!!
We'd like to thank the HackBeanpot team for putting on such a great event, Genuine and Indico for letting us play in their place (and the nice prizes!).
Thanks is also given to AbigailB on StackOverflow for her neat syllable counting function, and Luis von Ahn at Carnegie Mellon University for his list of bad words.