Enhance flagging functionality in app.py and flagging.py by adding a subscription option and improving metadata handling for user information.

Update flagging functionality in app.py and flagging.py to use metadata for user information and change dataset name to versioned format

Refactor logging setup in app.py and blob_utils.py to use module-level loggers for better context and remove redundant file handler configuration in logging_config.py.

Add logging functionality to app.py and blob_utils.py for improved traceability and debugging

Refactor decode_blob_data usage in flag_img_input to streamline blob handling and improve code clarity in app.py

Add decode_blob_data function to handle Gradio image blob conversion in app.py

Refactor inference function in app.py to accept image directly instead of file path, simplifying the input process.

Remove 'type' attribute from image input component in app.py to streamline UI configuration.

Refactor inference function in app.py to remove image file path from output and update UI components accordingly.

Rename image file path textbox in app.py for clarity

Refactor inference function in app.py to accept image file path, update output to include file path, and adjust input type in the UI.

added debug messages

Refactor flagging mechanism in app.py to use dedicated function for image flagging and clean up commented code.

Update app.py

Move API to actual flagging function

Add API endpoint to flag misdetections

Update model

Refactor theme configuration in app.py to simplify font settings.

Refactor inference function to remove diameter parameter and enhance theme configuration with additional fonts.

Update app.py

Update app.py

Update app.py

Update app.py

cache examples during loading

remove zero gpu

Refactor model loading to use device parameter

Simplify model loading and remove unnecessary caching

Update app.py

Update app.py

Fix memory allocation issue in get_model function

use lru cache for simplicity

better lazy loading via class

lazy load model

Fix GPU decorator removal in load_ahoy function

avoid re-installing pytorch

use seavision

Update app.py

HuggingFaceDatasetSaver changes

Update flag button label

Added tab title

Minor title rephrasing

Better demo title + error management

Update feedback message in app.py

hide flagging option when displaying examples

Update app.py

Refactor flagged image counting logic

Refactor app.py and utils.py

added examples from own DB

renamed dataset

save flagged data to HF dataset