PyGenbot for IoT: a demonstration of how to generate any restricted stateless AIML FAQ-chatter bot from text files

Internet of things applications (IoT) are required to interact with the user in the best natural possible way; the voice based conversation is the ultimate human-machine interaction in terms of easy to use and requirements from the user part, which also has the advantage for the user to interact hands free, non necessary watching a computer screen. Chatter bots are conversational agents that simulate, and capable to sustain, a conversation with a human. Technology do exists that allows to create a lexical knowledge base to be used by a restricted chatter bot, i.e. expert on a specific dominion. This work shows a methodology of restricted chatbot generation using Python program, called PyGenbot, that is capable to derive an AIML (Artificial Intelligence Markup Language) knowledge base starting from a simple textual data set, including: a FAQ, a keywords, a stopwords, a multiwords and a glossary file set. Any WOA attendee is welcome to supply arbitrary and simple formatted text files; then using PyGenbot, I will first edit the text input files needed to generate automatically the corresponding AIML knowledge base set that can be used with any standard AIML interpreter to implement the desired chatter bot, which can then be integrated into an IoT application.