Skip to main content

Python library to run streamlit, flask, fastapi, etc on google colab.

Project description

colab_everything

Install

pip install colab_everything

Introduction

We cannot access the localhost on Google Colab, as we do on our local machine because Google Colab provides a VM(virtual machine). Hence, we will have to expose it to a public URL to access it. We can use ngrok. Ngrok exposes local servers behind NATs and firewalls to the public internet over secure tunnels.

This library hides away all the complexity and provides you simple interface to run your webapps on colab. The library can be used in the following scenario:

To test your web app before deploying it into production. To share the app with peers, friends, and clients; so that they can use/test your app and provide feedbacks.

How to use

Note: The library is only responsible for port tunneling. So, you will have setup everything required to run your web app. For example; installing all the dependecies, setting up all the environment varibles, etc.

Streamlit

from colab_everything import ColabStreamlit
ColabStreamlit('app.py') # streamlit app path

Flask

from colab_everything import ColabFlask
ColabFlask('app.py') # Flask app path

FastAPI

Note: FastAPI uses uvicorn, so the syntax is a bit different. You will have to pass only the file name (without extention). For example, pass main if your app is main.py.

from colab_everything import ColabFastapi
ColabFastapi('app') # FastAPI app file name

Any other Custom app or command

You can use ColabCustom to easily run an other app or command.

To be very honest, you will never have to use http.server because colab already provides a file explorer. The example below is just for demonstration purposes.

Note: The default port is 9999. If you are using any other port then you will have specify it twice; in the command and also in the argument.

## Using default port
from colab_everything import ColabCustom
cmd = 'python -m http.server 9999'
ColabCustom(cmd)
## Using non-default port
from colab_everything import ColabCustom
cmd = 'python -m http.server 10000'
ColabCustom(cmd, port=10000)

I am actively looking for feedbacks and contributions. Feel free to contact me at as.ankursingh3.1@gmail.com.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

colab_everything-0.0.13.tar.gz (8.9 kB view hashes)

Uploaded Source

Built Distribution

colab_everything-0.0.13-py3-none-any.whl (8.6 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page