gpu-tpu-lab-server

gpu_tpu_lab_server

Running a jupyter lab or vs code server environment from colab with google drive support.

references:

fns.colab. Most of the localtunnel colab code is taken from this repo.

Motivation for creating this package

1. For some reason in fns.colab python package version >=0.5, fns.colab supports jupyter notebook not jupyter lab, so here I am trying to use the previous version of that fns.colab code to support jupyter lab environment and to fix frequent time out and connection issues.> 1. It was boring to copy paste the whole code everytime to start the jupyter lab environment in colab, so I created a package of it.
2. Also, I wanted to try how to create python package using nbdev, this sounded like a good excuse.

Install

pip install gpu_tpu_lab_server

How to use

from gpu_tpu_lab_server.core import jupyter_lab, vscode, run_process_in_background, run_process_in_foreground

For starting the server in google colab with google_drive support

To enable jupyter_lab_environment

1. execute jupyter_lab()
2. an authorization window will open with a link, go to the link > select your google account > accept all the permissions > authorization code will be displayed > copy and paste the code in the window
3. an localtunnel link will be returned, go to that link, wait for 10 second, then press open tunnel button, it will open an jupyter lab environment

To enable vscode() environment

1. execute vscode() optional parameter any text :- the generated link will have the text or by default fastdaima
2. an authorization window will open with a link, go to the link > select your google account > accept all the permissions > authorization code will be displayed > copy and paste the code in the window
3. an localtunnel link will be returned, go to that link it will open an vscode server environment