title: Responsible Ai Fairness
emoji: 😻
colorFrom: pink
colorTo: blue
sdk: docker
pinned: false
license: mit
short_description: solutions Traditional AI & LLM's fairness & bias evaluation
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference FROM python:3.9
Create a user to run the app
RUN useradd -m -u 1000 user USER user ENV PATH="/home/user/.local/bin:$PATH"
Set the working directory to root (default is root, no need to set it explicitly)
WORKDIR /
Copy the requirements.txt file
COPY --chown=user ./requirements/requirements.txt requirements/requirements.txt
Copy the necessary libraries (if required)
COPY --chown=user ./lib/aicloudlibs-0.1.0-py3-none-any.whl /lib/
You can add other .whl files similarly if needed
COPY --chown=user ./lib/better_profanity-2.0.0-py3-none-any.whl /lib/
COPY --chown=user ./lib/privacy-1.0.9-py3-none-any.whl /lib/
Install dependencies
RUN pip install --no-cache-dir --upgrade -r requirements/requirements.txt
Copy the src folder directly into the root directory
COPY --chown=user ./src /src COPY --chown=user ./output /output COPY --chown=user ./lib /lib COPY --chown=user ./explainability_ai_fairness.egg-info /explainability_ai_fairness.egg-info COPY --chown=user ./Kubernetes /Kubernetes COPY --chown=user ./config /config COPY --chown=user ./models /models COPY --chown=user ./docs /docs COPY --chown=user ./requirements /requirements
Set PYTHONPATH to include /src so Python can find llm_explain
ENV PYTHONPATH="/src:$PYTHONPATH"
RUN pwd
RUN ls
WORKDIR /src
RUN pwd
RUN ls
Expose the port (default for Hugging Face is 7860)
EXPOSE 7860
CMD to run the FastAPI app with Uvicorn
CMD ["uvicorn", "main_api:app", "--host", "0.0.0.0", "--port", "7860"]