- Create a virtual environment
python -m venv .env
- Activate environment For CMD
.\venv\scripts\activate
For bashsource ./.env/Scripts/activate
- Install dependencies using pip
python -m pip install -r requirements.txt
- Use build_markov.py to convert corpus to a model.json file (adjust variables as necessary)
- The model.json should've been written in a folder under
./models/
- Use main.py to run main program (adjust variables and uncomment code blocks as necessary)
- clean.py was used to post-process the raw corpus into text that is easier to convert to a Markov model.