Project Summa is an LLM-based text processing system built with Python and Django. It provides a modular and scalable solution for various text processing tasks.
- Core Application: Contains the main business logic of the system, including Django models for handling data related to text processing.
- Galandriel Application: The main application of the project, containing the settings, URL configurations, and WSGI and ASGI applications for deployment.
- Summa Module: A custom library for text processing, including classes for text preprocessing, processing, language model management, evaluation, and pipeline running.
- Dockerized: The project is Dockerized for easy deployment and scaling.
- VS Code Configurations: Includes configurations for running and debugging the Django server and the
summa-cli.pyscript in Visual Studio Code.
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.
- Python 3.8 or higher
- Docker
- Docker Compose
- Clone the repository:
git clone https://github.com/mihainadas/summa.git - Navigate to the project directory:
cd summa - Build the Docker image:
docker-compose build - Run the Docker container:
docker-compose up
This project is licensed under the MIT License.
For further information, academic collaborations, or data inquiries, please contact:
Mihai Dan NADĂȘ, Ph.D. Candidate
Email: mihai.nadas@ubbcluj.ro