README.rst

aiohttp-demos

Demos for aiohttp project.

Contents

• Imagetagger Deep Learning Image Classifier
• URL shortener
• Toxic Comments Classifier
• Moderator Slack Bot
• Twitter clone
• Chat
• Polls app
• Blog
• GraphQL Messenger
• Contributing
• Improvement plan

Imagetagger Deep Learning Image Classifier

Example how to deploy deep learning model with aiohttp.

URL shortener

Simple URL shortener with Redis storage.

Toxic Comments Classifier

UI and API for classification of offensive and toxic comments using Kaggle data and simple logistic regression.

Moderator Slack Bot

Slack bot that moderates offensive and toxic chat messages using model from Moderator AI.

Twitter clone

Twitter clone with MongoDB storage.

Chat

Simple chat using websockets.

Polls app

Simple polls application with PostgreSQL storage.

Blog

Blog application with PostgreSQL storage and Redis session store.

GraphQL Messenger

The simple realization of the GraphQL api.

Contributing

Things you need for local development:

$ pip install -r requirements-dev.txt
$ pip install demos/polls
$ pip install demos/chat
$ pip install demos/blog
$ pip install demos/graphql-demo

To check documentation locally - run:

$ make doc

and click the open file link from the output.

To make sure everything is ok before committing:

$ make ci

Improvement plan

Polls:

• [+] create configuration steps (venv, pip install, db initialization)
• [+] fix or recreate tests
• [~] revise tutorial.rst
• [+] fix urls from aiohttp/tutorial
• [x] setup communication channels (aio-libs gitter channel is enough)
• [~] create missing issues
• [+] add "Contributing" section
• [ ] add "What's next" section
• [ ] discuss roadmap