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metadata

title: Cheese Texture (Tabular) — AutoGluon Gradio App
emoji: 🧀
colorFrom: yellow
colorTo: blue
sdk: gradio
sdk_version: 4.44.0
app_file: app.py
pinned: false

Cheese Texture (Tabular) — Gradio App

Predicts texture from nutritional/origin features using a classmate's AutoGluon model.

Model (classmate): rlogh/cheese-texture-autogluon-classifier
Original dataset: aslan-ng/cheese-tabular

How to use

Set fat, price, protein, origin, and holed.
Choose inference parameters (base model, output mode, Top‑k).
View Predicted texture, probability table, and a summary of your input + results.

Notes

Sliders are constrained to dataset‑observed ranges.
Inputs are validated and friendly warnings are shown when we auto‑correct values.
This app uses AutoGluon's TabularPredictor for inference.

Credits

Model: rlogh (classmate)
Dataset: aslan-ng

Citations

Model: rlogh/cheese-texture-autogluon-classifier (Hugging Face model card)
Dataset: aslan-ng/cheese-tabular (Hugging Face dataset card, MIT license)

License

Acknowledgments

Thanks to rlogh for the trained AutoGluon model and to aslan-ng for the dataset.
Collaboration & GenAI usage: This submission was prepared with peer feedback and limited use of generative AI (ChatGPT) for packaging/refactoring and documentation polish.