Evaluator

[javipacheco]

This PR adds the first approach for an evaluator. The evaluator is a tool that can be used to evaluate the performance of a model on a dataset. In this case, we are using deepeval as evaluation framework for LLMs.

Follow the README to install dependencies and use the Gradlew Task to generate a website with the results like this:

[raulraja]

Thank you @javipacheco looks great!

[Montagon]

Just minor comment and a suggestion. Great job, @javipacheco!

[tomascayuelas]

As we have talked I put here the comments:

• Installing poetry we have it only for macos, I would put directly a link to the poetry website and that's it:
  https://python-poetry.org/docs/#installation

• Installing pyenv to set the system to 3.10.0, otherwise it will not work because by default in the installation of poetry is brought in some OS 3.12 of python.

• Consider installing a virtualenv to avoid problems with the versions:
  virtualenv venv --python=python3.10.0.
  source venv/bin/activate.
  this solves all versioning and OS problems...

In the pyproject.toml part:

• Remove the ragas
• Remove the README.md or add it, because you get an error when installing the project:
  If you do not want to install the current project use --no-root.
• check:
  packages = [{include = "xef_evaluator"}]
• put the files:
  the .py and the .html, .css, .js maybe inside an assets or public folder..

Review the README.md to indicate these steps and you are done.

Nice job @javipacheco 🥳