Label-sleuth

**Features**
* Support training/inference with Apple M-series chips
* Improve transformers inference time by sorting examples
* Check for model-language compatibility
* Add a multilingual XLM-R transformer model that supports 100 languages
* Display weak labels for the current category


**Bug Fixes**
* Fix issues related to iteration flow following 373
* Fix scrolling issues In Safari
* Improve backdrop logic to prevent it from blinking
* Prevent the right panel from jumping back to the first page

**Development**
* Continue migration of the frontend to Typescript

Features

- Extended language support: enable support for languages that rely on [FastText representations](https://fasttext.cc/docs/en/crawl-vectors.html); add support for Hebrew.
- Model support: add Naive Bayes model policies; facilitate adding new transformer-based classifiers.
- Performance improvements for the label import functionality.
- Collecting the set of examples for training now happens in a background thread.
- It is now possible to define _active learning policies_, i.e. a predefined policy for dynamically determining which active learning strategy should be used.

Development
- Initiated migration of the frontend to Typescript (205)

What's Changed
* Sidebar elements are no longer scrolled into view when clicked.
* The system version is displayed on the bottom-left corner of the menu page.

Bug fixes
* Dashes are replaced in imported document ids.
* Invalid regex in search no longer makes the UI to crash.

- Change behavior of labeling counts to improve support for different label types
- Update dependencies to avoid installation issues in M1 MacBooks

**Features**
- Add ability to override the [configuration file](https://github.com/label-sleuth/label-sleuth#system-configuration) using a command line argument with the relevant parameter name (e.g., changing language using `--language ITALIANO`)
- Add Romanian support

**Bug fixes**
- Return only standard labels in the document view (without weak labels)
- Determine label counts according to the label types used in `training_set_selector`

**Bug fixes**
- Fix error in starting Label-Sleuth in windows when git is not properly installed