Added presentation of summary table outputs

Refactor app.py and related modules for improved topic extraction and summarization. Updated UI prompts for clarity, enhanced file upload functionality, and added error handling in AWS file uploads. Introduced new functions for converting response text to markdown tables, creating general topics from subtopics, and improved overall code structure for better maintainability.

Updated intro and readme to link to datasets

Enhanced local model support by adding model loading functionality in chatfuncs.py and updating llm_api_call.py to utilize local models for topic extraction and summarization. Improved model path handling and ensured compatibility with GPU configurations.

Moved model load to chatfuncs submodule to hopefully avoid gpu run issues

Corrected references to extra-index-url in requirements/Dockerfile

Adding some compatibility with Zero GPU spaces

Corrected prompt. Now runs Haiku correctly

Can now specify root path for app with an environment variable

Changed readme sdk back to gradio, updated intro text

Added support for using local models (specifically Gemma 2b) for topic extraction and summary. Generally improved output format safeguards.

Allowed for server port, queue size, and file size to be specified by environment variables

Added more guidance in Readme. Now wipes variables on click to create or summarise topics

First commit