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| from fastai.vision.all import * | |
| import gradio as gr | |
| learn = load_learner('FastCloudsModel.pkl') | |
| # Cell | |
| categories = learn.dls.vocab | |
| def classify_image(img): | |
| pred,idx,probs = learn.predict(img) | |
| return dict(zip(categories, map(float,probs))) | |
| # Cell | |
| image = gr.inputs.Image(shape=(192, 192)) | |
| label = gr.outputs.Label() | |
| examples = ['cirrus.jpg', 'cumulus.jpeg'] | |
| # Cell | |
| intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) | |
| intf.launch() |