Commit History
Update app_mcp.py
4274392
verified
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
1cbfb0b
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feat: implement CommitScheduler for automated logging to Hugging Face dataset and refactor dataset initialization process
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fix: enable dataset logging to Hugging Face Hub by uncommenting push_to_hub functionality
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feat: implement custom JSON encoder for numpy types and ensure type consistency in inference results
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feat: improve JSON handling and type safety in inference results and dataset logging
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feat: add detailed logging for input types in inference data processing
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feat: enhance image handling by ensuring input is a PIL Image and updating forensic image logging
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refactor: reorganize agent structure by moving models to agents directory, update logging level, and enhance .gitignore for model files
c1d03da
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fix: extract prediction label for accurate weight management in consensus calculation
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feat: integrate dotenv for environment variable management and update weight management logic for prediction handling
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fix: store full result dictionary in model predictions for enhanced data tracking
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fix: correct string formatting in anomaly detection logging
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chore: fix deps naming
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fix: update .gitignore and requirements.txt for Python version compatibility and correct package names
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major(feat): restructure models and introduce new monitoring and weight management agents
ae1c2a2
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feat: rename app file for confusion
bb30d5b
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feat: add logging
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make clear distinction between ensemble agents and smart agents
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major: prep implementtation of vLLM smart agents
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dep: psutil
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major: testing out first implentation of an ensemble team
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a
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woops
b919494
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pls fix dev mode T_T
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cv2
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a
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feat: prep MCP server
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deps..
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dep: back in
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whoops. 'notha one
2f0b5e6
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refactor: remove unused import from app_mcp.py
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(major)feat: add new functionalities for AI-generated content detection
c9d5b11
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good morning: small ui change
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minor: bug fixes
e2101d4
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refactor: still in progress
aa96f77
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feat: enhance image prediction output and UI components
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feat: enhance model registration with metadata
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major(huge refactoring)
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