Writer

Use RNN with LSTM to generate new text in TensorFlow 2.

Training

I prepared 3 training datasets in data/:

1. data/bible.txt - The text of the King James Bible (https://www.kingjamesbibleonline.org/).
2. data/trump.txt - The tweets by Donald Trump until 2021-01-08 15:44:28 (https://www.thetrumparchive.com/). I removed the emojis in the way suggested in https://stackoverflow.com/a/44905730.
3. data/shakespeare.txt - The complete works of William Shakespeare (https://www.gutenberg.org/ebooks/100).

Use DATA_DIR in learn.py to choose the training dataset. Run python learn.py to build the model and save it in the checkpoint directory. All parameters are defined in the beginning part of the learn.py code.

Writing

Run python main.py to deploy the writer locally. Open browser with localhost:5000 (assuming default port is 5000). Add optional input arguments in the form of localhost:5000/temp/seed/lmin/lmax where temp, seed, lmin, lmax are temperature, seed text, minimal text length, and maximal text length. If they are not defined in the url, the default values in the beginning part of main.py code will be taken. I also deployed the app through google app engine to https://writer-01.ey.r.appspot.com. I expect the traffic to be very low so the daily spending limit is set to 1 USD. The access to the app might fail due to this limit.