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Download Dockerfile from JetBrains-Research/layer-lab: direct link, hf CLI and curl.
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- Download file 1.07 kB
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https://huggingface.co/spaces/JetBrains-Research/layer-lab/resolve/main/Dockerfile
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hf download hf://spaces/JetBrains-Research/layer-lab/Dockerfile
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curl -L -o Dockerfile https://huggingface.co/spaces/JetBrains-Research/layer-lab/resolve/main/Dockerfile
1.07 kB
| FROM python:3.11-slim-bookworm | |
| ENV PYTHONUNBUFFERED=1 \ | |
| PYTHONDONTWRITEBYTECODE=1 \ | |
| PIP_DISABLE_PIP_VERSION_CHECK=1 \ | |
| HF_HOME=/home/user/.cache/huggingface \ | |
| HF_HUB_DISABLE_TELEMETRY=1 \ | |
| QWEN_DEVICE=cpu | |
| COPY pyproject.toml /tmp/pyproject.toml | |
| RUN python -c 'import subprocess, sys, tomllib; deps = tomllib.load(open("/tmp/pyproject.toml", "rb"))["project"]["dependencies"]; torch = next(dep for dep in deps if dep.startswith("torch==")); subprocess.check_call([sys.executable, "-m", "pip", "install", "--no-cache-dir", "--index-url", "https://download.pytorch.org/whl/cpu", torch]); subprocess.check_call([sys.executable, "-m", "pip", "install", "--no-cache-dir", *deps])' | |
| RUN useradd --create-home --uid 1000 user | |
| WORKDIR /app | |
| COPY --chown=user:user runtime.py server.py preload_models.py ./ | |
| COPY --chown=user:user static ./static | |
| USER user | |
| # Cache only the pinned inference files, excluding training checkpoints. | |
| RUN python preload_models.py | |
| ENV HF_HUB_OFFLINE=1 | |
| EXPOSE 7860 | |
| CMD ["python", "server.py", "--host", "0.0.0.0", "--port", "7860"] | |