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FROM python:3.11-slim-bookworm
# Metadata as per https://github.com/opencontainers/image-spec/blob/master/annotations.md
LABEL org.opencontainers.image.authors="Bram Vanroy"
LABEL org.opencontainers.image.title="MAchine Translation Evaluation Online - Demo"
# Avoid prompts from apt
ENV DEBIAN_FRONTEND=noninteractive
# Install dependencies in a single RUN command to reduce image layers
RUN apt-get update && apt-get install -y --no-install-recommends \
build-essential \
curl \
git \
&& apt-get clean \
&& rm -rf /var/lib/apt/lists/*
# Create a non-root user
RUN useradd -m -u 1000 mateo_user
USER mateo_user
ENV HOME="/home/mateo_user"
# Environment variables
ENV PORT=7860 \
SERVER="localhost" \
HF_HUB_ENABLE_HF_TRANSFER=1 \
PATH="${HOME}/.local/bin:${PATH}" \
USE_CUDA=false
WORKDIR ${HOME}/mateo
# Clone the repository
RUN git clone --depth 1 --branch v1.4.0 https://github.com/BramVanroy/mateo-demo.git
WORKDIR mateo-demo
# Install Python dependencies with conditional torch installation
RUN python -m pip install --no-cache-dir --upgrade pip wheel setuptools \
&& python -m pip install --no-cache-dir torch==2.2.1+cpu -f https://download.pytorch.org/whl/torch \
&& python -m pip install --no-cache-dir --upgrade .
# Pre-download default models
RUN huggingface-cli download bert-base-multilingual-cased model.safetensors tokenizer.json vocab.txt; \
huggingface-cli download facebook/nllb-200-distilled-600M pytorch_model.bin sentencepiece.bpe.model tokenizer.json; \
python -c "import comet; from comet import download_model; download_model('Unbabel/wmt22-comet-da')"; \
python -c "import evaluate; evaluate.load('bleurt', 'BLEURT-20')"
# Expose the port the app runs on
EXPOSE $PORT
# Healthcheck to ensure the service is running
HEALTHCHECK CMD curl --fail http://$SERVER:$PORT/_stcore/health || exit 1
# Set the working directory to the Streamlit app
WORKDIR src/mateo_st
# Launch app
CMD streamlit run 01_🎈_MATEO.py --server.port $PORT --server.enableXsrfProtection false
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