I had to do something similar (not this library, but I wish I had known about it) just last week. I'm building out a product demo and I wanted to fill it with books. I didn't want to go searching for out of print books, so I created fake authors, book titles, descriptions, and reviews. The longer text was sometimes great, and sometimes had to be redone but overall it worked really well.
I intend to productionize text generation, and this is a necessary intermediate step. (gpt-2-simple had too many issues in this area so I needed to start from scratch)
That is cool, do you have a timeline set out for this?
The next step is architecting an infrastructure for scalable generation; that depends on a few fixes for both aitextgen and the base Transformers. No ETA.
I’m planning to ingest all my historical email into the model and then I’ll have a generator that writes for me using my voice...