The inference code lives here

1) run.ipynb  - contains an example of running from start to finish (download dataset -> collect prompt -> upload to database -> take helmet from database to langchain back -> add result to DATABASE)
2) rubia.py - script for uploading prompta and data to the database for the rubia task
3) run.py - the infinite data cycle script constantly polls the database if there are tasks in it for execution, if there are any, it takes them and adds the result back
4) metrics.ipynb - contains the code for calculating metrics based on datasets from the database
5) drop_pending.py - deletes all tasks with the pending status from the database
6) ethics.py 


#### How to run a script in detach mode
1) Create a session ```screen -S my_session```
2) In the new terminal, run our script ```/path_to_project/Trust LLC_en/.v env/bin/python path_to_project/TrustLLM_ru/benchmark/run.py```
    Now you can close the terminal. 
3) To connect to the created session ```screen -r my_session```

