Latentscope

Adds a few embedding models:
https://huggingface.co/Snowflake/snowflake-arctic-embed-s
https://huggingface.co/Snowflake/snowflake-arctic-embed-m-long
https://huggingface.co/BAAI/bge-m3

Also a new chat model for labeling:
https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct

Tweaked the labeling prompt to perform better

Minor improvements to the setup flow

Creating a scope now also creates a combined parquet of the input data and the scope annotations.

This makes loading curated scopes much easier in other workflows

This release makes a number of improvements to the exploring and curation part of Latent Scope. You can now filter a number of ways from a unified interface and perform bulk actions on the filtered points.

The following issues were closed:
* https://github.com/enjalot/latent-scope/issues/12 guide for setup page
* https://github.com/enjalot/latent-scope/issues/11 guide for explore page
* https://github.com/enjalot/latent-scope/issues/19 filtering by dataset column

This wasn't closed, but now we can show images in the data table if there is an image url:
* https://github.com/enjalot/latent-scope/issues/24 showing images

Improved documentation and a number of guides have been published to https://enjalot.github.io/latent-scope/

Fixed a long-standing performance issue with loading the python module. Imports are now done on demand, shaving ~4 seconds off loading the library (including starting the server or running any of the scripts).

Improved ingest flow 34 implemented. When data is ingested we now:
- Check types of columns and generate summary statistics. this will enable future UI
- Check for array columns and suggest importing those as embeddings
- Check for name collisions when uploading a dataset, giving a warning if a collision is detected

- A number of styling improvements are made to the setup page.
- Fixed an annoying loading issue that was adding ~4 seconds to each part of the process.
- Added nltk top words as a CPU friendly way to summarize clusters