Medical-Assistant / Dockerfile
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# syntax=docker/dockerfile:1
ARG PYTHON_VERSION=3.12.3
FROM python:${PYTHON_VERSION}-slim as base
# Prevents Python from writing pyc files.
ENV PYTHONDONTWRITEBYTECODE=1
# Keeps Python from buffering stdout and stderr to avoid situations where
# the application crashes without emitting any logs due to buffering.
ENV PYTHONUNBUFFERED=1
# Set the working directory
WORKDIR /app
# Create a non-privileged user that the app will run under.
ARG UID=10001
RUN adduser \
--disabled-password \
--gecos "" \
--home "/nonexistent" \
--shell "/sbin/nologin" \
--no-create-home \
--uid "${UID}" \
appuser
# Copy requirements.txt before other files to leverage Docker's caching mechanism
COPY requirements.txt .
# Install dependencies
RUN --mount=type=cache,target=/root/.cache/pip \
python -m pip install --no-cache-dir -r requirements.txt
# Create necessary directories with appropriate permissions
RUN mkdir -p /data /app/.cache/huggingface && \
chown -R appuser:appuser /data /app/.cache/huggingface && \
chmod -R 777 /data /app/.cache/huggingface
# Set the TRANSFORMERS_CACHE and HF_HOME environment variables
ENV TRANSFORMERS_CACHE=/app/.cache/huggingface
ENV HF_HOME=/app/.cache/huggingface
# Switch to the non-privileged user to run the application.
USER appuser
# Copy the source code into the container.
COPY . .
# Expose the ports that the application listens on.
EXPOSE 7860
EXPOSE 8501
# Run the application.
CMD ["bash", "-c", "uvicorn app:app --host 0.0.0.0 --port 7860 & streamlit run frontend.py --server.port 8501 --server.enableXsrfProtection false"]