I ran the same example and I'm fairly certain there is a problem with the package itself, not with your setup.
I'm following the comment in the file:
# Launch TensorBoard
#
# As the model is being fit you will be able to view the embedings in the
# Projector tab. On the left, use "color by label" to see the digits displayed
# in 10 different colors. Hover over a point to see its label.
and there is nothing in "Projector" tab:
No checkpoint was found.
Probable causes:
No checkpoint has been saved yet. Please refresh the page periodically.
You are not saving any checkpoint. To save your model, create a tf.train.Saver and save your model periodically by calling saver.save(session, LOG_DIR/model.ckpt, step).
If you’re new to using TensorBoard, and want to find out how to add data and set up your event files, check out the README and perhaps the TensorBoard tutorial.
If you think TensorBoard is configured properly, please see the section of the README devoted to missing data problems and consider filing an issue on GitHub.
So I would suggest to wait for a little while to see if there is someone more knowledgeable about how it's supposed to work. But you might also consider filing an issue on github about it after couple of days.