Rearranged functions for embeddings creation to be compatible with zero GPU space. Updated packages.

Improved initial clean options. Now has option to return embeddings only.

Only aggregate topics not 'other', allowed for minimum sentence length, default max_topics now will auto aggregate topics. Added Cognito Auth functionality (boto3 with AWS).

Can split passages into sentences. Improved embedding, LLM representation models, improved zero shot capabilities

Minor cleaning, csv formatting changes

Reduce outliers now more efficient and relabels with correct vectoriser. Default topic labels now tidier. Hiearchical topics outputs more useful for joining to df afterwards. Switched low resource reduction algorithm to UMAP as default is not good.

Should now parse custom regex correctly. Will now wipe previously created embeddings if 'low resource mode' option switched.

Allowed for uploading custom regex for cleaning. Fixed calculate all probabilities, reduce outliers. Added text tree for hierarchical modelling.

Added clean data options, improved re-representation options and visualisation. General format changes