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

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

t-shooting poor performance

checkpoint 1

Revert "1. Structure responses with both diagnoses and follow-up questions"

1. Structure responses with both diagnoses and follow-up questions

see a progress counter when submit is it

submit button wasn't working

these integrations could potentially multiply winnings

no need for gradio live

solved ffmpeg-related error

1. Removed global pipeline initialization to prevent warm-up crashes

FutureWarning: The input name `inputs` is deprecated. Please make sure to use `input_features` instead.

preventing segmentation fault

1. Added memory management

1. Added text input processing function

attention mask is not set

audio processing pipeliine

1. Removed unsafe `.get()` calls

taking out type

enable cross-origin requests

should resolve font-related console errors

microphone should now transcribe directly to text wihtout needing intermediate audio file processing

popped the bubble

bug fix

Add footer with social links

- Create the models directory on demand

fixed problems

1. Added a professional header and instructions

enhanced logging

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

1. More structured query format focusing on ICD-10 codes

1. Modified the query prompt to explicitly ask for differentiating questions

1. Removed hardcoded "cough" question

better visibility into the startup process

added import

1. Only download the specific `.gguf` file we need

doesn't seem to be running

setup for local llm

use llamacpp integration instead

no problems, local llm setup

feat: Add local LLM support with ctransformers

works

problems resolved

the api has changed in recent version of gradio

include MCP-specific configurations

interactive questioning enhancement

getting local to work to prevent burining up my credits

neaten