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Dockerfile
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# Lite version
FROM python:3.10-slim AS lite
# Common dependencies
RUN apt-get update -qqy && \
apt-get install -y --no-install-recommends \
ssh \
git \
gcc \
g++ \
poppler-utils \
libpoppler-dev \
unzip \
curl \
cargo
# Setup args
ARG TARGETPLATFORM
ARG TARGETARCH
# Set environment variables
ENV PYTHONDONTWRITEBYTECODE=1
ENV PYTHONUNBUFFERED=1
ENV PYTHONIOENCODING=UTF-8
ENV TARGETARCH=${TARGETARCH}
# Create working directory
WORKDIR /app
# Download pdfjs
COPY scripts/download_pdfjs.sh /app/scripts/download_pdfjs.sh
RUN chmod +x /app/scripts/download_pdfjs.sh
ENV PDFJS_PREBUILT_DIR="/app/libs/ktem/ktem/assets/prebuilt/pdfjs-dist"
RUN bash scripts/download_pdfjs.sh $PDFJS_PREBUILT_DIR
# Copy contents
COPY . /app
COPY .env.example /app/.env
# Install pip packages
RUN --mount=type=ssh \
--mount=type=cache,target=/root/.cache/pip \
pip install -e "libs/kotaemon" \
&& pip install -e "libs/ktem" \
&& pip install "pdfservices-sdk@git+https://github.com/niallcm/pdfservices-python-sdk.git@bump-and-unfreeze-requirements"
RUN --mount=type=ssh \
--mount=type=cache,target=/root/.cache/pip \
if [ "$TARGETARCH" = "amd64" ]; then pip install graphrag future; fi
# Clean up
RUN apt-get autoremove \
&& apt-get clean \
&& rm -rf /var/lib/apt/lists/* \
&& rm -rf ~/.cache
CMD ["python", "app.py"]
# Full version
FROM lite AS full
# Additional dependencies for full version
RUN apt-get update -qqy && \
apt-get install -y --no-install-recommends \
tesseract-ocr \
tesseract-ocr-jpn \
libsm6 \
libxext6 \
libreoffice \
ffmpeg \
libmagic-dev
# Install torch and torchvision for unstructured
RUN --mount=type=ssh \
--mount=type=cache,target=/root/.cache/pip \
pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu
# Install additional pip packages
RUN --mount=type=ssh \
--mount=type=cache,target=/root/.cache/pip \
pip install -e "libs/kotaemon[adv]" \
&& pip install unstructured[all-docs]
# Clean up
RUN apt-get autoremove \
&& apt-get clean \
&& rm -rf /var/lib/apt/lists/* \
&& rm -rf ~/.cache
# Download nltk packages as required for unstructured
RUN python -c "from unstructured.nlp.tokenize import _download_nltk_packages_if_not_present; _download_nltk_packages_if_not_present()"
CMD ["python", "app.py"]