Fixes on representation model, visualisations, and embeddings in CPU mode. Package updates and optimisation for compatibility

Changed llama-cpp version for cpu

Corrected reference to sentence transformers dependency. Updated Dockerfile packages

Updated requirements

Updated package versions in requirements files

Adjusted requirements for max available for Huggingface python==3.10 platform

Test update main requirements file for huggingface compatibility

Llama-cpp-python in GPU mode doesn't seem to work well with Bertopic on Huggingface, so downgrading that to CPU version

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

Added example of how to run function from command line. Updated packages. Embedding model default now smaller and at fp16.

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

App now retains original index following cleaning to allow for referring back to original data

Allowed for app running on AWS to use smaller embedding model and not to load representation LLM (due to size restrictions).

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

Updated packages. Improve hierarchy vis. Better models - mixedbread and phi3. Now option to split texts into sentences before modelling.

Upgraded to Gradio 4.16.0. Guide for converting to exe added.

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

Lots of general fixes. New visualisations, fixed hierarchical vis for zero shot. Added calc all probabilities.

first commit