tensorboard.py

%cd /content
!wget https://bin.equinox.io/c/4VmDzA7iaHb/ngrok-stable-linux-amd64.zip
!unzip -o ngrok-stable-linux-amd64.zip

# Starts tensorboard, so we can monitor the training process.
get_ipython().system_raw(
    'tensorboard --logdir {} --host 0.0.0.0 --port 6006 &'
    .format('/content/train')
)
get_ipython().system_raw('./ngrok http 6006 &')
print('Click on link below to track progress:')
import time
time.sleep(1)
!curl -s http://localhost:4040/api/tunnels | python3 -c \
    "import sys, json; print(json.load(sys.stdin)['tunnels'][0]['public_url'])"