Feb 23

1. 20:02

   Restore Gradio launch block internally, depending on pinned hub version

   hssling
   eef4b5e
2. 19:55

   Omit manual demo launch to let Hugging Face Spaces handle running the app natively

   hssling
   fdbfd6d
3. 19:53

   Revert to Gradio SDK 4.26.0 now that huggingface-hub is pinned

   hssling
   1cc71d5
4. 19:47

   Fix Gradio connection crash loop by enforcing 0.0.0.0 bind host

   hssling
   7c66421
5. 19:39

   Pin huggingface-hub string length under 0.28.0 to fix Gradio SDK conflicts

   hssling
   261cc2b
6. 19:30

   Fix Gradio SDK version to 4.44.1 to avert Hugging Face ImportError

   hssling
   ad24fd5
7. 16:09

   Link Kaggle Kernel Notebook as canonical training pipeline reference

   hssling
   c87fb63
8. 16:07

   Activate Kaggle-trained custom Medical Vision adapter

   hssling
   b66ce1f
9. 15:57

   Expose LLM tuning params (temp/tokens) via Gradio API

   hssling
   e83f1b8
10. 15:53

    Add full Kaggle and Hugging Face ecosystem architecture documentation

    hssling
    2567232
11. 15:45

    Fix SFTTrainer kwargs error by migrating to standard Trainer

    hssling
    d3e4905
12. 15:41

    Fix transformers import for Qwen2-VL

    hssling
    c238547
13. 15:28

    Add automatic Kaggle Secrets logic and HF push_to_hub

    hssling
    27ed2ac
14. 15:14

    Add Hugging Face config to README.md

    hssling
    3456a02
15. 15:08

    Update push command to sync master branch to main

    hssling
    44c2a1c
16. 15:08

    Auto sync to huggingface space action

    hssling
    bed6b9e
17. 14:57

    Initial commit of model training and inference backend

    hssling
    ccb8f07