ӨҮҢизатор -- Telegram bot that replaces incorrectly used 'О', 'У', and 'Н' with 'Ө', 'Ү', or 'Ң'.

Note: the bot is just a proof of concept. If you are interested in enhancing it, I'll be happy to collaborate!

Installation

1. Pull the repository
2. Create a virtual env and activate it
3. Install dependencies: pip install -r requirements.txt
4. Download and copy the trained models (links are given below) to the root of the project (the same directory where manage.py lives)

Links to models

1. Unsupervised model (Kloop model)
2. Ң vs Н classification model
3. Ө vs О classification model
4. Ү vs У classification model

To run your instance of a bot, you should do the following:

1. Create .env file (just rename the template file env_template to .env)
2. Go to Telegram's Botfather and register a new bot
3. Write its credentials (BOT_TOKEN and BOT_USERNAME) to your .env file
4. Activate your virtual env and run python manage.py tgbotwebhook. After that you will see a prompt Enter bot username:. Write there your bot's username and as the next step you'll have to choose one of the two options. Select 1 and set your hostname (example: https://yourawesomesite.com).
5. Send some sentences to your bot. For example: комур жакканда зыян тутун чыгат. The bot will respond with көмүр жакканда зыян түтүн чыгат.

Running locally

1. Register your bot and setup the project (see the previous section)
2. Download and run ngrok (e.g. ./ngrok http 8000)
3. Run your django (e.g. ./manage.py runserver 8000)
4. Register your ngrok's URL as a host for webhook by running python manage.py tgbotwebhook (e.g. https://ff24e741518f.ngrok.io). See Step #4 of the previous section of this README.
5. Now your bot can be served from your local computer!