start_server.sh

#!/bin/bash
JUPYTER_TOKEN="${JUPYTER_TOKEN:=huggingface}"

NOTEBOOK_DIR="/data"

# Set up NVIDIA EGL library links at runtime (in case they're mounted differently)
echo "🔗 Setting up NVIDIA EGL library links..."
for nvidia_lib_dir in /usr/local/nvidia/lib64 /usr/local/cuda/lib64 /usr/lib/nvidia; do
    if [ -f "$nvidia_lib_dir/libEGL_nvidia.so.0" ]; then
        echo "Found NVIDIA EGL library at $nvidia_lib_dir/libEGL_nvidia.so.0"
        ln -sf "$nvidia_lib_dir/libEGL_nvidia.so.0" /usr/lib/x86_64-linux-gnu/libEGL_nvidia.so.0
        break
    fi
done

# perform checks on the GPU configuration
python init_gpu.py

# this will download stuff used by Mujoco (the collection of models)
python init_mujoco.py

jupyter labextension disable "@jupyterlab/apputils-extension:announcements"

jupyter-lab \
    --ip 0.0.0.0 \
    --port 7860 \
    --no-browser \
    --allow-root \
    --ServerApp.token="$JUPYTER_TOKEN" \
    --ServerApp.tornado_settings="{'headers': {'Content-Security-Policy': 'frame-ancestors *'}}" \
    --ServerApp.cookie_options="{'SameSite': 'None', 'Secure': True}" \
    --ServerApp.disable_check_xsrf=True \
    --LabApp.news_url=None \
    --LabApp.check_for_updates_class="jupyterlab.NeverCheckForUpdate" \
    --notebook-dir=$NOTEBOOK_DIR