Commit History
Update agents/ensemble_weights.py
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Update agents/ensemble_weights.py
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Merge branch 'main' of https://huggingface.co/spaces/aiwithoutborders-xyz/OpenSight-Deepfake-Detection-Models-Playground into main
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add: jpeg compression estimator
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Update app.py
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update inst
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refactor(model_loader): update dataset names for model registrations in the loader
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refactor(weights): update strongest model ID and adjust queue concurrency limit
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refactor(ui): enhance Dataframe and Log components in detection model evaluation
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refactor(logging): move CustomFormatter to agent_logger and update log handlers
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refactor(ui): adjust layout of logs and gallery in detection model evaluation
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refactor(logging): replace logger with agent_logger for consistent logging in ModelWeightManager
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fix
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refactor(logging): replace logger.info with agent_logger.log for weight optimization messages
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Implement code changes to enhance functionality and improve performance
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Track PNG files with Git LFS
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Remove temp_gradio_input.png from LFS tracking in .gitattributes
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Add .python-version, pyproject.toml, and update .gitignore; modify README and requirements
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major(feat): per-agent logging system with AgentLogger class
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Load environment variables from .env file in hf_logger.py
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Add .python-version, pyproject.toml, and update .gitignore; modify README and requirements
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test5
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test4
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test3
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test2
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test
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fix: add model paths and class names for ONNX models in model_loader
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fix: add missing import for postprocess_onnx_output in model_loader
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fix: add missing import for infer_onnx_model in model_loader and update its definition in onnx_helpers
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fix: add missing import for infer_onnx_model in model_loader
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fix: add missing import for preprocess_onnx_input in model_loader
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refactor: consolidate model registration logic for ONNX and Gradio API
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feat: implement model registration logic for ONNX, HuggingFace, and Gradio API
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fix: update ONNX model cache handling in inference functions
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refactor: extract Gradio logging setup into a separate module
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refactor: ONNX model loading and caching functions
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feat: add Gradio API integration and ONNX preprocessing functions
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major(refactor): prep for refactor project
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Update README.md
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Update app_mcp.py
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docs: enhance docstring for Bit Plane Extractor interface to improve clarity and usability
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refactor: update API names for prediction functions to improve clarity and consistency
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fix: update demo launch configuration to enable MCP server mode
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feat: add API names to prediction functions and update README title for clarity
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fix: ensure Hugging Face API token is used for dataset repository initialization
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fix: update dataset name for improved clarity and consistency in logging
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fix: update dataset privacy settings and enable token usage for Hugging Face dataset logging
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feat: implement CommitScheduler for automated logging to Hugging Face dataset and refactor dataset initialization process
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