The easiest way to get the provided code running is by creating a python environment based on the provided
environment.yml file.
$ conda env create -f environment.ymlThis creates a conda environment called neural-style-transfer, which shall be activated prior to use of the command
line tool.
$ conda activate character-prediction-rnnIf the conda environment already exists, it can be activated with the following command.
$ conda env update -f environment.yml
There are two command line application. One is for learning from a text corpus and saving the model to a file
(learn-text) and the other one is for reading the learned model and creating text predictions (predict-text).
Usage: learn-text.py [OPTIONS] TEXT_FILE WRITE_MODEL
Options:
--epochs INTEGER
--help Show this message and exit.Usage: predict-text.py [OPTIONS] READ_MODEL
Options:
--n INTEGER
--help Show this message and exit.character-prediction-rnn is Copyright © 2019 Alexander Stante. It is free software, and may be redistributed under the terms specified in the LICENSE file.