How to sample from Naive Bayes PDF and pass it to a discriminator model?

Hey! Sorry, if this question does not make 100% sense as my
education has not yet reached formal ML classes, but I’ll ask
nonetheless.

I want to make a GAN in tensorflow, but instead of just copy and
pasting someone’s code, I want to truly understand the bits and
parts of it.

From what I know about Naive Bayes, it predicts the distribution
of our original data – but after each iteration how can one sample
from this distribution, and additionally once you take a sample
from this distribution, how can we actually in code pass it to our
discriminator?

Thanks everyone 🙂