Dockerfile.embedder

Rama main · réplica de lectura del repositorio original.

FROM python:3.12-slim

WORKDIR /app
ENV PYTHONUNBUFFERED=1 PYTHONPATH=/app/src

# torch is the bulk of this image. CPU wheels by default so the stack comes up
# on a laptop with no GPU and no CUDA toolkit — and the invitation to "override
# the index" that used to sit in this comment was not actually possible, so the
# encoder ran on CPU on a machine with a Blackwell sitting idle beside it.
#
# It is a build argument now. Pick the index that matches your driver:
#
#   cpu     no GPU, or you do not care          (default)
#   cu126   driver 525+
#   cu128   driver 570+, Blackwell sm_120
#   cu130   driver 580+, CUDA 13                (GB10 / DGX Spark is sm_121)
#
#   docker compose -f docker-compose.yml -f docker-compose.gpu.yml up -d --build
#
# torchvision is not optional: AutoImageProcessor refuses to build without it,
# and the failure arrives at model-load time rather than at install time.
ARG TORCH_INDEX=https://download.pytorch.org/whl/cpu
RUN pip install --no-cache-dir \
    "fastapi>=0.115" "uvicorn[standard]>=0.30" "pydantic>=2.7" "pillow>=10.0" \
    "transformers>=4.44" \
    && pip install --no-cache-dir torch torchvision --index-url ${TORCH_INDEX}

COPY src/foilstack/embedder /app/src/foilstack/embedder
COPY src/foilstack/__init__.py /app/src/foilstack/__init__.py

EXPOSE 8100
CMD ["uvicorn", "foilstack.embedder.app:app", "--host", "0.0.0.0", "--port", "8100"]