docker/unsloth_jupyter_tunnel.sh
Rama main · réplica de lectura del repositorio original.
#!/usr/bin/env bash
# Optional public Cloudflare quick-tunnel for JupyterLab, mirroring the tunnel
# Studio creates for its own UI. Off by default. Two ways to use it:
#
# * at run time: docker run -e UNSLOTH_JUPYTER_CLOUDFLARE=1 ... unsloth/unsloth
# -> the https://<name>.trycloudflare.com URL is printed in
# `docker logs` once JupyterLab is up.
# * on demand: docker exec <container> unsloth-jupyter-tunnel --force
#
# The URL works from anywhere with no account or open inbound port. JupyterLab still
# requires its password, but treat the URL as sensitive all the same.
set -u
FORCE=0
[ "${1:-}" = "--force" ] && FORCE=1
if [ "$FORCE" != "1" ] && [ "${UNSLOTH_JUPYTER_CLOUDFLARE:-0}" != "1" ]; then
echo "[jupyter-tunnel] disabled (set UNSLOTH_JUPYTER_CLOUDFLARE=1, or run with --force)"
exit 0
fi
PORT="${JUPYTER_PORT:-8888}"
echo "[jupyter-tunnel] waiting for JupyterLab on port ${PORT} ..."
for _ in $(seq 1 90); do
if curl -fsS -o /dev/null --noproxy '*' "http://localhost:${PORT}/login" 2>/dev/null; then
break
fi
sleep 2
done
# Studio caches a cloudflared for its own tunnel; otherwise fetch the static binary.
CFD=""
for cand in \
"${UNSLOTH_STUDIO_HOME:-/opt/unsloth-studio}/bin/cloudflared" \
/usr/local/bin/cloudflared \
cloudflared; do
if command -v "$cand" >/dev/null 2>&1; then CFD="$(command -v "$cand")"; break; fi
[ -x "$cand" ] && { CFD="$cand"; break; }
done
if [ -z "$CFD" ]; then
case "$(uname -m)" in
x86_64|amd64) A=amd64;;
aarch64|arm64) A=arm64;;
*) A=amd64;;
esac
CFD=/usr/local/bin/cloudflared
echo "[jupyter-tunnel] downloading cloudflared (${A}) ..."
if ! curl -fsSL -o "$CFD" \
"https://github.com/cloudflare/cloudflared/releases/latest/download/cloudflared-linux-${A}"; then
echo "[jupyter-tunnel] could not download cloudflared" >&2
exit 1
fi
chmod +x "$CFD"
fi
echo "[jupyter-tunnel] starting Cloudflare quick-tunnel to JupyterLab (port ${PORT})."
echo "[jupyter-tunnel] the https://<name>.trycloudflare.com URL appears below; log in with your Jupyter password."
exec "$CFD" tunnel --no-autoupdate --url "http://localhost:${PORT}"