Tutor-GPT is a LangChain LLM application. It uses dynamic few-shot prompting for the task of tutoring.
What makes tutor-gpt compelling is its ability to reason pedagogically about the learner. That is, it uses dialogue to posit the most educationally-optimal tutoring behavior. Read more about how it works here or you can join our Discord to try out our implementation for free (while our OpenAI spend lasts 😄).
Alternatively, you can run your own instance of the bot by following the instructions below.
This project requires docker to be installed and running locally. Install docker and ensure it's running before proceeding.
This app requires you to have a few different environment variables set. Create a .env file from the .env.template.
OPENAI_API_KEY: Go to OpenAI to generate your own API key.
BOT_TOKEN: This is the discord bot token. You can find instructions on how to create a bot and generate a token in the pycord docs.
THOUGHT_CHANNEL_ID: This is the discord channel for the bot to output thoughts to. Make a channel in your server and copy the ID by right clicking the channel and copying the link. The channel ID is the last string of numbers in the link.
The repository containers a Dockerfile for running the bot in a containerized workflow. Use the follow command to build and run the container
docker build -t tutor-gpt:latest .
docker run tutor-gpt:latest The current behaviour will utilize the .env file in your local repository and run the bot.