In our thesis, we set out to use neural networks to generate random stories.
These stories were used in a text game where the user could play through a
random story with endless gameplay possibilities. The model used to generate the text is GPT-2, and the text adventure is made as a simple web
application, which implements cloud services for computing and storage of
the models. To train the model, we used English literature from various
sources. The result of the thesis is a game where a new story is generated
for each game and the user is able to play the game from start to finish
without any problems. This use case shows the potential of neural networks
in games.
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