![]() For improving your bot further so that it can handle more complex conversation we would need to understand the functionality of each file that got created when we initialized the project. Pat on your back because you have trained your very own chatbot model. This is a very basic trained bot which only knows how to perform basic conversation. Type ‘hi’ and you will see the bot response which it processed on its own without your help.Do not worry if you by any chance pressed ‘n’ in that step, type rasa shell in you terminal and you will be good to go for the next step.After training the model, you will be asked whether you want to talk to the trained bot, select ‘Y’.If everything goes correctly you will be able to see a similar screen. ![]() Then it’ll ask you whether you want to train a model or not, type ‘Y’. It’ll ask for selecting a directory, Just hit enter. (rasa2) G:\rasa projects\Rasa First> rasa init If installed properly, let’s setup the project with the following command.(rasa2) G:\rasa projects\Rasa First> pip install rasa Install rasa library with the following command in your terminal.Activate the python environment you just created.Create a folder with a name of your choice and open the folder in the code editor.That’s it, Now open the code editor and let’s create your very own first chatbot Python environment, You can create an python environment following this article Create Python Environment.Python 3.6+, You can follow this article to install python in your system Getting Started with Python.We would need the following items in order to get started Due to its simple approach to train model, Many non-developers have also been using rasa to train their AI model for their chatbot. ![]() Rasa is a Level-3 conversational AI open-source framework which is one of the fastest ways to create chatbots among developers and non-developers. Chatbots are added to simulate conversation in the human format. Chatbots are being included in almost every websites and apps to answer user’s query, file complaint etc. In this article, You will be able to create a AI driven chatbot in the simplest way. ![]()
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