Final UCT CS project, 96% final mark.
Our Interactive BPE Tokenizer serves as a hands-on educational tool to help interested individuals learn the fundamentals of Natural Language Processing (NLP) by training and testing BPE tokenizers.
- Ethan Lawrence (LWRETH001)
- Kirsten Sutherland (STHKIR002)
- Conor Karl McKeag (MCKCON007)
Create a .env
file in /frontend
Add: VITE_BACKEND_API_URL="http://127.0.0.1:5000"
Ensure you have Docker/Docker Desktop installed.
docker-compose up -d
It may take some time but it will eventually be running in the background.
After docker is done building the frontend should be available at http://localhost:8080
The docs are available at either this GitPage, or locally at http://localhost:3000
It is running at localhost:27017
Username: capstone2024
Password: changeme123
Make sure you have the mongoDB extension installed, MongoDB for VS Code