Facebook messenger open source4/15/2023 all the general high level topics that you clients would be enquiring about.įor every general topic: Think about all the possible ways someone might ask the question and write them down, also document the correct chatbot response that will be given if someone asks a question in that topic.īelow is an example of an intents object: '.format(senderPsid)) The Chatbot Intents Fileīreak down the chatbot in to general topics, like: (1) greeting, (2) goodbye, (3) location, (4) operating_hours . . . . The idea is to (1) make the client feel like they are talking to a real person and to (2) cover all the realistic questions clients might ask. Therefore 80% of your effort should go in to creating a good intents file, without contradictions and cover all the intents your clients might have when asking questions to the chatbot. It does not mater how deep, complex or well developed your model is - if you feed it junk training data, it will output junk predictions. The first step is arguably the most important step, the intents file will be the input data that will be used to train the chatbot - so as mathematicians say: Junk in, junk out There are three important stages to creating our deep learning chatbot: Creating our Deep Learning Chatbot with Python You need to follow the tutorial and ensure that the application is running - able to feedback any messages you send from your facebook page.
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