Here’s the link to all the source codes used. It is like a mother of all the other files.
#Rasa chatbot update
Make sure to always update your domain file as and when you update your other files. It is a toolset for developers to build, improve and deploy contextual assistants with the Rasa framework.
From here on you can make changes to these files as per your requirement and run the bot again using the codeĪfter every change you make in your file’s code, try running this code, and with time you’ll understand that the bot is able to answer different questions as per your code adjustment. RASA X is the GUI provided by RASA to support further development and analysis of our developed chatbot. From here on you have to go to your file again, if you open your chatbot again you’ll find files names “ nlu”, “ stories”, “ domain” etc stored.
Well, not getting into the intricacies of how a mood bot should understand one’s emotions, all I want to tell you here is that now you have trained your basic rasa mood bot. The bot you are talking to right now is called a mood bot, it greets and checks your mood, if the reply is good and positive it says “ bye” (pretty blunt, huh) and if it’s sad, it shares a picture and says “ here’s an image to lighten your mood” or something like that and shares a url of an image. You can type a “ hi” and “ I’m good” to check if the mood bot is working fine or not. Type a message and press enter (use ‘/stop’ to exit):įrom here on you can talk to the bot, below is a gif showing a conversation with the bot, you can stop the conversation by typing /stop. After sometime, the bot will be loaded and display a green message reading: Bot loaded. Now you just have to wait for the bot to train itself. It will automatically start training the initial model. Just like in the above gif, type y for yes, when the bot says Do you want to train an initial model?
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