The player must jump over and slide under obstacles and enemies. The player controls Maybot and must run for as long as possible gaining a higher score by collecting a variety of objects including tax, wheat, and votes. The game is developed by Bloodline Games Ltd and is a satirical infinite runner with hidden depths. Edit this file according to how you are going to expose the servers.Maybot Run was first annouced in August 2017 for a 19th October 2017 release on Steam (PC), Itch.io, and Google Play (Android). The ngrok settings are contained in ngrok.yml.
Run.sh starts maybot_web, maybot_alexa, maybot_google and ngrok in a tabbed gnome-terminal. It completes a sentence starting "The right honourable gentleman" and prints out the result. Test.py is a basic test program to quickly check that the model is working. Images contains the original images and the files created from them that are used by the different web/voice platform implementations. These are symlinked to by the models which use them as training data. The key output files are all_contributions.json, other_contributions.json and theresa_may_contributions.json. Hansard_scrape contains the code to scrape the spoken contributions and the data files that have been collected. The spoken contributions used for training have been obtained by scraping Hansard Online, the official verbatim report of proceedings of both the House of Commons and the House of Lords. The output of the model has a probabalistic selector so that it can be adjusted by "temperature" to be more or less inventive. word2vec is used to code words as 300-element vectors which form the input to the network. The model has 4 dense layers with interspersed droput and ELU layers. The model predicts the next word in a sentence from the preceding 12 words which are maintained in a shift register and presented to the model in parallel. The model provided, models/sjb_word_model, is written using Keras in Python. Each model must provide a Python create_sentence() function, but can otherwise use whatever technology is desired. The model symlink points to the chosen model. The directory structure supports having multiple models, each as a subdirectory of the models directory. These implementations use a common neural network model. The Alexa and Google versions are called "Political Theresa" as the voice systems require a multi-word activation name. There are implementations in subdirectories for the web ( maybot_web), as a skill for Amazon Alexa ( maybot_alexa) and as an action for Google Home/Assistant ( maybot_google). Maybot is a deep neural network that completes sentences in the style of Theresa May's parliamentary spoken contributions.
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