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Runtime error
| # AUTOGENERATED! DO NOT EDIT! File to edit: . (unless otherwise specified). | |
| __all__ = ['learn', 'classify_image', 'categories', 'image', 'label', 'examples', 'intf'] | |
| # Cell | |
| from fastai.vision.all import * | |
| import gradio as gr | |
| # Cell | |
| learn=load_learner("metamodel.pkl") | |
| # Cell | |
| categories = ("Foundation Pouring","Frame Installation","Land Excavation") | |
| def classify_image(img): | |
| pred, idx, probs = learn.predict(img) | |
| return dict(zip(categories, map(float, probs))) | |
| # Cell | |
| image = gr.Inputs.Image(shape=(512,512)) | |
| label = gr.Outputs.Label() | |
| examples = ['FoundationPouring00.PNG','FrameInstallation00.PNG','LandExcavation00.PNG'] | |
| intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) | |
| intf.launch(inline=False) |