The current model uses tweets containing #blessed
.
https://hashtag-blessed.surge.sh/
npm install
cp .env .env.sample # update with your values
node src/index.js
This will generate tweets.txt, which can be fed into the trainer to generate a model.
See instructions here for training.
I had success running the training inside a docker container with the correct version of python. After cloning the training repo, cd into the folder and start the docker container:
docker run -it -v $PWD:/app python:3.6 bash
The generated model should be placed in the public/models
directory.