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feat: audio processing ve organization API uç noktaları ile unit testing eklendi
2eb5dd7 -
feat: youTube API servisi ve backend routing için video interaction ve comment management eklendi
8de7693
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feat: implement automated training diagnostics, dataset bias analysis, and revision figure generation pipelines
906c392
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feat: add reservations API with table management and email notifications
c1fe190
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fix: extend xlim in plot_ml_vs_dl to prevent clipping of value labels
4744538
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fix: add lightgbm and xgboost to requirements.txt
Missing packages caused XAI service to fail on startup with "No module named 'lightgbm'" error in HF Spaces container. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>5cbef23 -
feat: integrate wav2vec2 score into score fusion logic
87518a8 -
fix: add wav2vec2 result handling and logging in analyze file processing
8be5b97 -
feat: add Wav2Vec2 detector service to analysis route
5529f33 -
fix: correct AURIS model repository ID in Dockerfile, startup script, and upload script
e8c02eb
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fix: adjust confidence calculation and streamline model download logic
a55f921 -
fix: real ensemble inference, Youden threshold, DL unpickler
- inference_xai: load Youden-optimal threshold (0.4316) from training_results.json instead of hardcoded 0.5 - inference_xai: load all 11 models at startup for real-time voting (previously faked from training accuracy approximation) - inference_xai: _DLUnpickler remaps __main__.TorchSklearnWrapper so DL pkl files deserialise correctly outside training context - training_results.json: LightGBM optimal_threshold = 0.431577 Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>f999d90 -
docs: update README with model hub deployment steps and new env vars
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>a676b27 -
feat: add startup script for model downloads and upload script for Hugging Face Hub
c1db98e -
fix: update calibration and precision-recall plotting functions to load data from files
129f521 -
fix: update confusion matrix and score distribution functions to load pre-computed CV predictions
fa18330 -
feat: add script to generate publication-ready figures for AURIS paper
e8077a2 -
fix: add ffmpeg decoding fallback for audio loading in analyze_vocals
4718070
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fix: add ffmpeg decoding fallback for unsupported audio formats in feature extraction
14fc9a2 -
fix: comment out spotdl due to conflicts with gradio
c255068 -
fix: update fastapi and uvicorn versions in requirements.txt
0c32edc
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fix: update evaluation to use optimal threshold and adjust BCEWithLogitsLoss for class imbalance
9b6c85d -
fix: adjust BCEWithLogitsLoss to handle class imbalance with pos_weight
5ac76c0 -
fix: add missing roc_curve metric import for evaluation
bfbdc0b -
feat: add wav2vec2 model display in build_models_md function
a12879f -
feat: enhance model table HTML with wav2vec2 badge and formatted metrics
83b3658 -
feat: add audio path parameter to _build_model_table_html and include wav2vec2 predictions
fcf0dbd -
feat: implement wav2vec2 model loading and inference functions for audio processing
3ad0b90 -
feat: add wav2vec2_model to artifacts loading for enhanced model integration
618303c -
feat: add wav2vec2_model attribute to DemoArtifacts for model integration
bde8144 -
feat: add Wav2Vec2Config and Wav2Vec2MusicClassifier imports for audio classification
8a75b81 -
feat: define families dictionary for candidate classifiers in _build_candidate_families function
1d86705 -
feat: enhance candidate selection with class ratio and calibrated SVC for improved model performance
57f19bf -
feat: implement optimal threshold calculation for binary predictions in train function
058eadc -
feat: add CalibratedClassifierCV and roc_curve imports for enhanced model evaluation
27cd744 -
feat: add temporary file patterns to .gitignore for dashboard images
5c69e00 -
feat: implement custom unpickler for TorchSklearnWrapper to support model deserialization
ef35e36
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feat: add TorchSklearnWrapper import for model deserialization support
026a187 -
feat: enhance model compatibility and input handling for deep learning wrappers
4324aed
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feat: add TorchSklearnWrapper for PyTorch model compatibility with sklearn and enhance final model training process
bb33480
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feat: enhance Windows compatibility for asyncio with warning suppression
c7e5d79 -
feat: add Gradio import handling and Windows compatibility for asyncio
306211a -
Add Gradio dependency to requirements.txt with version constraints
20fe6c3 -
feat: train all models on full data and save their paths
94ed8e9 -
Refactor code structure for improved readability and maintainability
c0f3b71 -
feat: update gauge and bars temperature images for improved visualization
4c67eef -
feat: update local demo for AURIS AI music detection with enhanced dashboard and model comparison
c4ee459 -
Add gauge temperature image generated by Matplotlib
This commit introduces a new PNG image file, _gauge_temp.png, created using Matplotlib version 3.10.8. The image is intended for use in visualizing temperature gauge data.00d7f18 -
feat: add local demo for AURIS AI music detection with Gradio interface
4e0bd69 -
feat: update duration limit for audio analysis to 1 minute for improved detection
d20e581