Emily Tarot is a techno-mystic project that leverages OpenAI's GPT-3.5-turbo for generating Tarot card readings. This project was designed as an experiment to learn Streamlit and to explore working with large language models for custom applications. Hosted at EmilyTarot.com.
Note: This project is now using the incredible GPT-4-omni-mini model!
- User Interface: The project uses Streamlit to create a visually engaging and intuitive interface for the users to interact with.
- Techno-Mystic Experience: Users are guided through a Tarot reading session where they can choose from a virtual deck of Tarot cards or use their own physical deck.
- AI Interaction: The selected cards and user's questions are processed by OpenAI's GPT-3.5-turbo model to generate a personalized Tarot reading.
- Session Persistence: The state of the current session is maintained across Streamlit reruns, providing a continuous experience to the user.
- Moderation: The user's input is checked and moderated for any inappropriate content, terminating the session and displaying crisis resources when user content is flagged
- Docker Support: A Dockerfile and docker-compose files are included to facilitate the deployment and running of the application.
To run Emily Tarot locally, follow these steps:
- Clone this repository.
- Install the dependencies:
pip install -r requirements.txt - Set up environment variables
SESSION_DIRandOPENAI_SECRET_KEY. - Use
cd src && streamlit src/streamlit_app.pyto start the Streamlit application. - Navigate to
http://localhost:8501in your web browser to interact with Emily Tarot.
To build and run Emily Tarot with Docker:
docker-compose builddocker-compose up- The application should be available at
http://localhost:9999.
This project is licensed under the terms of the MIT license.