have to turn the mcp server on for it to work

checkpoint 2 - we are in a very good position right now, audio transcription is working, gradio page looks good, local llms are working, returning the consultation, the json that will be sent to the mcp client, and a debugging panel

I'm so confused

improved seperation of concerns best practice in the code, added print statements for better understanding of what code is doing

app.py wrapper for Gradio waa very bad idea, regoranizing project for clarity, utils folder will be very import of separation of concerns

actually... the gradio live link would allow me to show o4-mini-high the results, where I could not before

no need for gradio live

should resolve the `ModuleNotFoundError` in the Hugging Face Space while maintaining the local development setup

Add multi‐backend LLM support and audio‐driven medical agent pipeline

Use `demo` as Gradio entrypoint identifier

Add root-level app.py wrapper; preserve src/ layout

repo structure cleanup (https://chatgpt.com/share/6841a61b-3dfc-8004-aec7-9c48fba857fd)

successfully scrapped

plan.md outlines goals for this hackathon

Add application file