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| # AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb. | |
| # %% auto 0 | |
| __all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'is_damaged', 'classify_image'] | |
| # %% app.ipynb 2 | |
| from fastai.vision.all import * | |
| import gradio as gr | |
| def is_damaged(x): return x[1].isupper() | |
| # %% app.ipynb 6 | |
| learn =load_learner('model.pkl') | |
| # %% app.ipynb 8 | |
| categories = ('Not Damaged','Damaged') | |
| def classify_image (img): | |
| pred, idx, probs = learn.predict(img) | |
| return dict(zip(categories, map(float, probs))) | |
| # %% app.ipynb 10 | |
| image = gr.Image() | |
| label = gr.Label() | |
| examples = ['building.jpg', 'damaged_building.jpg'] | |
| intf = gr.Interface(fn = classify_image, inputs = image, outputs = label, examples = examples) | |
| intf.launch(inline = False,share=True) | |