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https://github.com/blacksamorez/ebanko
NLP based telegram bot
https://github.com/blacksamorez/ebanko
docker-compose grafana nlp telegram-bot
Last synced: 4 days ago
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NLP based telegram bot
- Host: GitHub
- URL: https://github.com/blacksamorez/ebanko
- Owner: BlackSamorez
- License: apache-2.0
- Created: 2022-04-30T18:43:50.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2022-10-16T19:36:02.000Z (about 2 years ago)
- Last Synced: 2024-12-05T05:11:37.554Z (19 days ago)
- Topics: docker-compose, grafana, nlp, telegram-bot
- Language: Jupyter Notebook
- Homepage:
- Size: 11.1 MB
- Stars: 60
- Watchers: 2
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# ebanko
### Who is ebanko?
Ebanko is a conversational [telegram bot](https://t.me/toxic_ebanko_bot) trained on **2ch.hk/b/**
### Infrastructure
Container network is run with [docker-compose](https://docs.docker.com/compose/). Containers include:
* Backend: **NLP** tasks are run inside Flask server. Only accessible from inside the network
* Telegram api: asynchronous [telegram api](https://github.com/python-telegram-bot/python-telegram-bot), sends requests to backend for processing
* Metrics collector: [prometheus](https://prometheus.io/) collects metrics from [telegraf](https://www.influxdata.com/time-series-platform/telegraf/) and Flask
* Metrics board: [grafana](https://grafana.com/) on port ```3000```
### How to run
* Insert your bot's token inside [bot.py](https://github.com/BlackSamorez/ebanko/blob/main/app/bot/bot.py)
* Download the model (see **Availability**) and place it in ```app/app/model```
* From ```app``` run:
```
docker-compose up --build
```
No gpu is needed
### Availability
Finetuned model is availbale at [huggingface](https://huggingface.co/BlackSamorez/rudialogpt3_medium_based_on_gpt2_2ch).
Dataset is also available [there](https://huggingface.co/datasets/BlackSamorez/2ch_b_dialogues).
### Inference speedup
* None (for now)