Nometa-Bot

Developed by students of the Simulator ML (Karpov.Courses)

Repository structure

• deployment/ - docker application deployment files
• docs/ - project documentation folder
• exploration/ - data mining folder
• static/ - scripts to launch components
• src/ - application source folder
  • app/ - telegram bot files
  • metrics/ - files for evaluating the quality of models
  • models/ - folder with training scripts and inference
  • utils/ - folder with util functions and variables
• test/ - application tests (pytest)

Launch

1. git clone https://github.com/uberkinder/Nometa-Bot.git
2. Create a telegram bot and get a token through https://t.me/BotFather

Choose a launch option and continue with the steps

Local

3. install python version: 3.8

4. pip install -r requirements.txt

5. install PyTorch

6. pip3 install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cpu

7. Add a variable to your environment on ...

   linux: export BOT_TOKEN=<your_token>

   windows (cmd): setx BOT_TOKEN "<your_token>"

8. run python static/start_bot.py

Docker

from the root of the repository run the commands 3) docker build -t nometa_bot -f deployment/Dockerfile . 4) docker run -e BOT_TOKEN=<your_token> -p 8080:8080 nometa_bot

After launching the bot, add it to the chat and allow it to read messages