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  1. Update app.py

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  1. Update requirements.txt

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  2. Update requirements.txt

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  3. Update app.py

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  4. Update requirements.txt

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  1. Update app.py

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  1. Add rating and description parameters to flag_img_input function in app.py, enhancing user feedback capabilities and updating the UI to accommodate new inputs.

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  1. Refactor variable names in flag_img_input function in app.py for consistency with function parameters, enhancing code clarity.

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  2. Refactor flag_img_input parameters in app.py for consistency and clarity, renaming variables to align with function arguments.

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

    3928c4d
  4. Update flagging functionality in app.py and flagging.py to use metadata for user information and change dataset name to versioned format

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  5. 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.

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

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

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

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  1. A newer version of the Gradio SDK is available: 5.34.2

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

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

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

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  5. Rename image file path textbox in app.py for clarity

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

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  7. added debug messages

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

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  1. Update app.py

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  1. Move API to actual flagging function

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  2. Add API endpoint to flag misdetections

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  1. Update model

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  1. Update README.md

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

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

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  1. Update requirements.txt

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  2. Update app.py

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  1. Delete examples/22825932.jpg

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  2. Upload 3 files

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  3. Update app.py

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  4. Update requirements.txt

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  5. Update README.md

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  6. Update app.py

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  1. Update install_private_repos.py

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  1. Update install_private_repos.py

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  2. Update app.py

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  3. Update requirements.txt

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  4. Update requirements.txt

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  5. Update install_private_repos.py

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  6. Update install_private_repos.py

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  1. cache examples during loading

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  2. remove zero gpu

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  3. Refactor model loading to use device parameter

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  4. Simplify model loading and remove unnecessary caching

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  5. Update README.md

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