Commit History
refactor(logging): move CustomFormatter to agent_logger and update log handlers
b2ba2e7
major(feat): per-agent logging system with AgentLogger class
f78b194
Load environment variables from .env file in hf_logger.py
b0a1e2b
fix: add model paths and class names for ONNX models in model_loader
a4381af
fix: add missing import for postprocess_onnx_output in model_loader
0adef02
fix: add missing import for infer_onnx_model in model_loader and update its definition in onnx_helpers
ceff40b
fix: add missing import for infer_onnx_model in model_loader
3232315
fix: add missing import for preprocess_onnx_input in model_loader
eeb602e
feat: implement model registration logic for ONNX, HuggingFace, and Gradio API
f00c873
refactor: extract Gradio logging setup into a separate module
68f9986
refactor: ONNX model loading and caching functions
80c3f0c
feat: add Gradio API integration and ONNX preprocessing functions
4cb6734
major(refactor): prep for refactor project
6555f50
fix: ensure Hugging Face API token is used for dataset repository initialization
f69af75
feat: implement CommitScheduler for automated logging to Hugging Face dataset and refactor dataset initialization process
5967d4d
fix: enable dataset logging to Hugging Face Hub by uncommenting push_to_hub functionality
87fc2bb
feat: implement custom JSON encoder for numpy types and ensure type consistency in inference results
0f427f3
feat: improve JSON handling and type safety in inference results and dataset logging
febce11
feat: add detailed logging for input types in inference data processing
679e047
feat: enhance image handling by ensuring input is a PIL Image and updating forensic image logging
d20c076
major(feat): restructure models and introduce new monitoring and weight management agents
ae1c2a2
feat: add logging
58f23d5
make clear distinction between ensemble agents and smart agents
8f7f87a
major: prep implementtation of vLLM smart agents
1af0cb5
cv2
32d1ae3
(major)feat: add new functionalities for AI-generated content detection
c9d5b11
UPDATED: Updated ELA image processing in app.py and ela.py
c0b0cd4
🏗️ build(utils): update image preprocess and functionality expansion
d307493
```
3f08aad
🐛 fix(image processing): ensure image consistency for gradient and minmax preprocessors
322ab55
✨ feat(image processing): add MinMax pre-processing to image pipeline
237292f
✨ feat(image): add gradient processing in predict_image Function
67883c3
✨ feat(predict): add Error Level Analysis to image prediction
c08bf6c
✨ feat(ui): add sharpen and noise augmentation
33581d9
🐛 fix(app): add input degrees having a bug for cases without augmentation
5ccc3f6
♻️ refactor(app): code cleanup
67f3560
Refactor project interface and remove unused utility files
2669b96
Refine UI layout and GOAT inference call
f5d6264
LPX55
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