wtf is flashcards_data?

This repository is a prototype tool for automatically generating flashcard content. Instead of manually writing out questions and answers for a study app, it uses AI to create that content from prompts, which can then be used as the starting data for a separate flashcards web application. Here is how it works at a high level. The tool uses OpenAI's AI models to generate text based on a prompt you provide. That text is then converted into "embeddings", numerical representations of meaning that capture what the content is about. These embeddings are stored in Pinecone, which is essentially a search engine that can find related concepts by comparing those numbers. The whole thing is wrapped in a simple web interface built with Streamlit, so you can interact with it through a browser rather than a command line. This would appeal to someone building an educational app who needs a large set of starter content but doesn't want to write hundreds of flashcards by hand. For example, if you were launching a study tool for medical students, you could use this prototype to generate and organize a batch of seed questions and answers before you even have your main app finished. The author notes there's a setting to limit generated text to around 100 words, which keeps things fast while you're testing. It's worth noting this is explicitly a prototype, not a finished product. The README mentions ongoing work on UI fixes, refactoring, and eventually building a connection to send the generated data directly to the separate flashcards app. You'll also need your own API keys for both OpenAI and Pinecone, which means there are costs involved with running it since those are paid services.