VILA-M3 Demo Feedback

[holgerroth]

Please provide any feedback you might have regarding using the VILA-M3 demo.

[amitjc]

Dear Experts,

Congratulations on the brilliant project.

Looking forward to following features:

1. Provision to run the inference on user data
2. Support for DICOM
3. User feedback for model fine-tuning if there's any inaccuracy in the AI assistant prediction.

Thanks and Regards,
Amit.

[mingxin-zheng]

Hi @amitjc , For the feedback, I agree with 1 and 2. For 3, I'm unclear what forms of user feedback may be. Can you give an example how that should work?

Thank you!

[mingxin-zheng]

Hi @amitjc , sorry I did not explain this clear enough. Can you please check this out and see if you can see the button? I also have the commands to use in the container
#59 (comment)

[amitjc]

That's awesome. Thanks.

However, after running an inference on one user radiograph, any subsequent upload is displayed as the prior uploaded image.

[mingxin-zheng]

Hi @amitjc , can you try git pull in the container to receive my latest fix here:
#59 (comment)

I hope this would solve the issue you met. Thanks!

[amitjc]

Hello @mingxin-zheng,
Thanks for the update.
I used the following commands in the container:

cd /VLM/m3/demo
git fetch --all
git checkout mingxinz/upload_user_data_58
python gradio_m3.py --port 7860

This does show the n users equal to the number of images uploaded, but the image for every user is the 1st image uploaded.

[amitjc]

any updates?