| # Langchain series | |
| This project was aimed at learning more about large language models and how to use them via langchain. It contains: | |
| - a notebook which works through langchain's basic functionality | |
| - a streamlit application which allows a user to query a self-uploaded document | |
| ## Running instructions | |
| To run the notebook or the application, install the python environment using the environment.yaml file included in this repo. You will also need to have a HuggingFace API token saved in a .bash_profile file in your home directory. To run the application, run streamlit dashboard/app.py from the repo location. |