I have a docker file that looks like this: FROM python:3.12-slim RUN apt-get update \ && apt-get install -y --no-install-recommends git \ && apt-get purge -y --auto-remove \ && rm -rf /var/lib/apt/lists/* RUN pip3 install --no-cache-dir --upgrade \ pip poetry WORKDIR /app COPY requirements.txt . RUN pip install -r requirements.txt \ && rm -rf /root/.cache/pip # ENV POETRY_VIRTUALENVS_CREATE=false # COPY pyproject.toml . # RUN poetry install COPY . . EXPOSE 8501 ENV PYTHONUNBUFFERED=1 CMD streamlit run ./app.py my requirements file looks like this: streamlit>=1.41.1 vertexai>=1.71.1 google==3.0.0 google-genai>=0.6.0 google-generativeai==0.8.4 st_cookie==1.0.0 extra-streamlit-components==0.1.71 for some reason.... the pip install step results in increasing the docker image by 850mb! I've tried to use poetry as well to see if that helps and even when I just have one of the dependencies (any one of them), the docker file still increases by 600mb at least. Any thoughts on why that is and how I can reduce the size? Do I just need to manually go through something like pipdeptree and run pip uninstall of large packages? Continue reading...