Install the library: You will need to have the NLTK or ChatterBot library installed on your computer to use it. You can do this by running pip install nltk or pip install chatterbot in your command line.

Import the library: Once the library is installed, you can import it in your Python script using the following command: import nltk or import chatterbot.

Prepare your data: If you want your chatbot to be able to understand natural language, you will need to train it on a dataset of conversational data. You can use existing datasets like Cornell Movie-Dialogs Corpus or create your own by collecting conversational data.

Create a chatbot object: Use the NLTK or ChatterBot library to create a chatbot object. Depending on the library you are using, the process for creating a chatbot object may vary.

Train your chatbot: Train your chatbot on the data you prepared in step 3. This will allow the chatbot to understand the patterns in the conversational data and respond accordingly.

Test your chatbot: Once your chatbot is trained, you can test it by giving it input and seeing how it responds.

Deploy your chatbot : Once you are satisfied with the performance of your chatbot, you can deploy it on a website, mobile app, or any other platform where you want to use it.

Please note that these steps are general guide and it may vary depending on specific library you are using.