Hey there, sorry to hear you're stuck with this frustrating UI issue after setting up Jupyter Notebook on Google Cloud. Let's work through some tried-and-true fixes that usually resolve problems like missing code blocks and inability to run code:

• Check for version conflicts or outdated packages
  First, let's verify your Jupyter components are on a stable version. SSH into your GCP instance and run these commands to check current versions:

  jupyter --version
  pip list | grep notebook
  

  If you're running a very old or bleeding-edge version of the notebook package, it might cause UI rendering bugs. Try upgrading to a widely tested stable release:

  pip install --upgrade notebook==6.5.6
  

• Clear browser cache and force a hard refresh
  Browser caching of old Jupyter static files is a super common culprit here. Try these steps:

  • Press Ctrl+Shift+R (Windows/Linux) or Cmd+Shift+R (Mac) to hard-refresh the page
  • Clear cookies and cache for the Jupyter domain (usually localhost:8888 or your forwarded port)
  • Test with a different browser to rule out browser-specific issues

• Verify SSH port forwarding is set up correctly
  Double-check your port forwarding command—misconfigured tunnels can break UI asset loading. The standard GCP command looks like this:

  gcloud compute ssh --zone YOUR_ZONE YOUR_INSTANCE_NAME -- -L 8888:localhost:8888
  

  If port 8888 is in use locally, switch to a different port (like 8889) and restart the tunnel:

  gcloud compute ssh --zone YOUR_ZONE YOUR_INSTANCE_NAME -- -L 8889:localhost:8888
  

  Then access Jupyter at localhost:8889 instead.

• Reset Jupyter configuration to defaults
  Custom config settings might be interfering with the UI. Backup your current config and generate a fresh default one:

  # Backup existing config if you have custom settings
  mv ~/.jupyter/jupyter_notebook_config.py ~/.jupyter/jupyter_notebook_config.py.bak
  # Generate new default config
  jupyter notebook --generate-config
  

  Restart Jupyter after this and test the UI again.

• Reinstall the entire Jupyter environment
  If none of the above works, a clean reinstall can fix hidden dependency conflicts:

  # Uninstall existing components
  pip uninstall -y jupyter notebook ipykernel
  # Reinstall stable setup
  pip install jupyter notebook ipykernel
  # Ensure the Python kernel is registered properly
  python -m ipykernel install --user
  

  Restart Jupyter and check if the code blocks and run functionality work as expected.

内容的提问来源于stack exchange，提问作者Spencer