A lot of changes have been made since the last log:

I downloaded an open source LLM called Olama that I imported and used to generate flashcards from notes

I utilised a library called python-to-docx to convert google documents into text files which can be fed into the AI.

I created a form that allows users to attach files and name their flashcards which will then be passed into the python-to-docx code and finally, the AI.

Currently, I am improving my prompt and figuring out how I can efficiently and effectively split the AI’s response (flashcards) into terms and definitions.

I told the AI to make flashcards with new lines betwene new cards and colons between terms and definitions and I have been trying to utilise python’s split function to sort the data however, the prompts are not satisfactory.

I will look towards getting gemini to engineer a prompt for me and maybe finding a more efficient way to sort the data.