Crappy Product Generator

This code is the end result of a blog post, training a neural network on Amazon's lowest reviewed products and one star reviews. It uses char-rnn and torch-gan to generate text and images, respectively.

Requirements

You'll need to have working installations of both char-rnn and torch-gan. You'll also need to have Python3 installed, in order to run the script that generates all the outputs you load.

Usage

The socery.py file loads up all the text based char-rnn generators, and uses them to create a new set of products / reviews / prices. It uses the sample.lua script from the char-rnn repository, and includes the utils directory provided with that code. The sorcery.py assumes you've already trained and cleaned a set of images from the torch-gan separately. Refer to the blog post for the directory / image structure it assumes.

Then, to generate a new list of 50 products:

$ python3 sorcery.py 50

You'll notice that there will be times that the neural network won't generate a cohesive, finished review, and so the loop just keeps trying to generate product reviews until it gets finished.

Once that's done, you can view the generated projects in a web browser. Using Python3:

$ python3 -m http.server

Then, open your web browser to http://localhost:8000, and you should be able to see all of your generated products! The sky's the limit!

License

MIT