In order to compare the (not yet implemented) SQL query generated by
the LLM with an actual query, another text field was added that parses
the query to `pyodbc`, which connects to our database, stores the
resulting rows in a `pandas` dataframe and then visualizes it as a table
in plotly dash.
The SQL functionalities are implemented in the `sql_utils.py` module.
Additionally, some minor updates to the overall behavior and layout of
the app were implemented.
