kavinda0126/coral-reef-bleaching-prediction

Update app.py and Gradio notebook

Update app.py

fixes in LR and gradio app and evaluation

Fixing evaluation notebook

evalaution notebook added

Enhanced Logistic Regression model files and Traning notebook

Disable SSR mode to fix Starting... hang on HF Spaces

Suppress sklearn version warnings and set metadata routing config

Update app.py

Fix gr.TabItem → gr.Tab for Gradio 5.x compatibility

Bump Gradio to 5.49.1, clean up requirements.txt

Trigger rebuild

Add audioop-lts to fix audioop missing in Python 3.13

Remove pyaudioop — not needed with Gradio 5.x

Clean up requirements.txt ordering

Add pyaudioop to fix audioop missing in Python 3.13 with Gradio 4.x

Remove gradio from requirements.txt — controlled by sdk_version in README

Upgrade to Gradio 5.x to fix Python 3.13 audioop compatibility

Clean up README by removing unnecessary metadata

Fix HF Spaces launch config and memory leak in matplotlib figures

Fix numpy version pin for Python 3.13 compatibility

Add Coral Reef Bleaching Gradio app

Add trained SVM model and metadata

Add SVM (RBF) Coral Bleaching notebook

Merge branch 'main' of https://github.com/kavinda0126/Coral-Reef-Bleaching-Prediction-App

Add XGBoost model artifacts (metadata + feature set)

Merge branch 'main' of https://github.com/kavinda0126/Coral-Reef-Bleaching-Prediction-App

Merge branch 'main' of https://github.com/kavinda0126/Coral-Reef-Bleaching-Prediction-App

Create XGBoost.ipynb training notebook for coral reef bleaching prediction.

Add Random Forest model artifacts (metadata + feature set)

Add Random Forest training notebook with cuML GPU support

initialized model folders

initial folder str & lr traning files