Transformers and Text Generation using GPT2

We'll look at using the huggingface transformers library to generate text and perform some other natural language processing tasks.

The culmination of this NLP extravaganza will be a versitile, tireless, endlessly creative Excuse Generator powered by Artificial Intelligence.

goal = 'write a better summary for this document'tasks = ['contemplate the most important ideas', 'determine the most efficient way to summarize the ideas',	 'summarize ways to apply to industry', 'discuss next steps']
s = ExcuseSituation(gen, assignment=goal, tasks=tasks, is_team=False, blame_others=False)
s.generate_excuses(count=1)

I was supposed to write a better summary for this document. Things were going smoothly, but the problems started when I began to contemplate the most important ideas. I wanted to do this, but I couldn't because I would have to spend hours writing down all the details. -- The Excuse Generator