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https://github.com/kaydotdev/in-a-word-bot
A Telegram bot for text summary generation
https://github.com/kaydotdev/in-a-word-bot
aiogram bot nlp python summary telegram-bot tldr
Last synced: 4 months ago
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A Telegram bot for text summary generation
- Host: GitHub
- URL: https://github.com/kaydotdev/in-a-word-bot
- Owner: kaydotdev
- License: mit
- Created: 2019-09-27T12:40:09.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2022-12-27T23:47:18.000Z (about 2 years ago)
- Last Synced: 2024-07-30T20:54:27.253Z (7 months ago)
- Topics: aiogram, bot, nlp, python, summary, telegram-bot, tldr
- Language: Python
- Homepage: https://t.me/in_a_word_bot
- Size: 47.9 MB
- Stars: 3
- Watchers: 1
- Forks: 1
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# IN A WORD BOT
[](https://t.me/in_a_word_bot)
## Techstack





## Description
Finding the right information in the **digital era** may be the real challenge nowadays because it's growing **exponentially** day by day! Whether you are a student preparing an essay or a researcher working with the knowledge base, you spend a lot of time searching, filtering, and summarizing text. [Google](https://www.google.com/) can assist you with the first two steps, but I will help with the last one! Send me a plain text, file, or link to an external resource, and I will summarize it for you in a word :grin:.
## Getting started
### Run bot locally
First, change the directory from the `root` to the `src`:
```bash
cd src
```If you have a virtual environment, activate it:
```bash
source venv/bin/activate
```Set environment variables:
```bash
export ENV_API_TOKEN=...
export ENV_MAX_MESSAGE_LENGTH=...
export ENV_MAX_FILE_SIZE=...export ENV_REPO_LINK=...
export ENV_DEV_LINK=...export ENV_WEBHOOK_MODE=...
# Optional if ENV_WEBHOOK_MODE is False
export ENV_WEBHOOK_HOST=...
export ENV_WEBHOOK_PATH=...export ENV_WEBAPP_HOST=...
export ENV_WEBAPP_PORT=...
```Run bot in Python interpreter mode:
```bash
python main.py
```Optionally, run bot on a `gunicorn` server (webhook mode ONLY):
```bash
gunicorn main:app --bind localhost:8080 --worker-class aiohttp.GunicornUVLoopWebWorker
```