Dockerfile

FROM python:3.10-slim

# HF Spaces runs containers as UID 1000
RUN useradd -m -u 1000 user
USER user

ENV HOME=/home/user \
    PATH=/home/user/.local/bin:$PATH \
    HF_HOME=/home/user/.cache/huggingface

WORKDIR /home/user/app

# NOTE: this Dockerfile is NOT used by the deployed Space — README.md sets
# `sdk: gradio`, so HF Spaces builds from requirements.txt on the managed
# Gradio image and ignores this file entirely. It is kept only for local
# Docker testing. ZeroGPU (spaces.GPU) is only supported on Gradio-SDK
# Spaces, not Docker-SDK Spaces, so this file must never become the actual
# build path if ZeroGPU is required.

# Install PyTorch with CUDA support (default PyPI index) so torch.cuda is
# available — ZeroGPU attaches a real GPU to the process at call time, so a
# CPU-only wheel would make torch.cuda.is_available() return False.
RUN pip install --no-cache-dir --user \
    torch==2.4.0 torchvision==0.19.0 torchaudio==2.4.0

# Install remaining dependencies
COPY --chown=user requirements.txt .
RUN pip install --no-cache-dir --user -r requirements.txt

# Pre-download ProtT5-XL at build time so users never wait for it
RUN python -c "\
from huggingface_hub import snapshot_download; \
snapshot_download('Rostlab/prot_t5_xl_half_uniref50-enc')"

COPY --chown=user . .

EXPOSE 7860
CMD ["python", "app.py"]