LLM-based tool powered by Mistral v0.3 that transforms high-level ethical requirements into actionable ethical user stories. Utilizing HuggingFace, retrieval-augmented generation (RAG), ChromaDB and LangChain, this tool bridges the gap between abstract ethical principles and practical implementation, ensuring ethical considerations are seamlessly integrated into software development processes.

• Ethical user stories generation
• Update on RAG database locally

• Open Collab
• Get the main.ipynb file from the repository
• Run the cells and change the query variable to the desired input

Recommended to run on google colab given the size of the model

Clone the project

  git clone https://github.com/joaorossi15/requirements-to-us.git

Go to the project directory

  cd requirements-to-us

Create and start a virtual enviroment

  python3 -m venv env
  source bin/env/activate

Install dependencies

  pip3 install -r requirements.txt

Run the jupyter notebook

  jupyter-notebook main.ipynb

• @joaorossi15

MIT