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  1. Update app.py Running

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  2. Update utils/hf_logger.py

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  3. Update utils/hf_logger.py

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  1. Update requirements.txt

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  2. Update requirements.txt

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  3. Delete dont.use.pyproject.toml.bak

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  4. Delete uv.lock

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  5. Delete .python-version

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  6. Rename pyproject.toml to dont.use.pyproject.toml.bak

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  7. Update README.md

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  8. Update app.py

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  1. Update app.py

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  2. Update agents/ensemble_weights.py

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  3. Update agents/ensemble_weights.py

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  1. Merge branch 'main' of https://huggingface.co/spaces/aiwithoutborders-xyz/OpenSight-Deepfake-Detection-Models-Playground into main

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  2. add: jpeg compression estimator

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  1. Update app.py

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  1. update inst

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  2. refactor(model_loader): update dataset names for model registrations in the loader⁠

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  3. refactor(weights): update strongest model ID and adjust queue concurrency limit

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  4. refactor(ui): enhance Dataframe and Log components in detection model evaluation

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  5. refactor(logging): move CustomFormatter to agent_logger and update log handlers

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  6. refactor(ui): adjust layout of logs and gallery in detection model evaluation

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  7. refactor(logging): replace logger with agent_logger for consistent logging in ModelWeightManager

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  8. fix

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  9. refactor(logging): replace logger.info with agent_logger.log for weight optimization messages

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  10. Implement code changes to enhance functionality and improve performance

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  11. Track PNG files with Git LFS

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  12. Remove temp_gradio_input.png from LFS tracking in .gitattributes

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  13. Add .python-version, pyproject.toml, and update .gitignore; modify README and requirements

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  14. major(feat): per-agent logging system with AgentLogger class⁠

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  15. Load environment variables from .env file in hf_logger.py

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  16. Add .python-version, pyproject.toml, and update .gitignore; modify README and requirements

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  1. test5

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  2. test4

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  3. test3

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  4. test2

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  5. test

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  6. fix: add model paths and class names for ONNX models in model_loader

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  7. fix: add missing import for postprocess_onnx_output in model_loader

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  8. fix: add missing import for infer_onnx_model in model_loader and update its definition in onnx_helpers

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  9. fix: add missing import for infer_onnx_model in model_loader

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  10. fix: add missing import for preprocess_onnx_input in model_loader

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  11. refactor: consolidate model registration logic for ONNX and Gradio API

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  12. feat: implement model registration logic for ONNX, HuggingFace, and Gradio API

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  13. fix: update ONNX model cache handling in inference functions

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  14. refactor: extract Gradio logging setup into a separate module

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  15. refactor: ONNX model loading and caching functions

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  16. feat: add Gradio API integration and ONNX preprocessing functions

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  17. major(refactor): prep for refactor project

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