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| from fastai.vision.all import * | |
| import gradio as gr | |
| l2 = load_learner('model.lrn') | |
| categories = ('Dog', 'Cat') | |
| def classify_image(img): | |
| pred,idx,probs = l2.predict(img) | |
| return dict(zip(categories, map(float,probs))) | |
| image = gr.inputs.Image(shape=(128, 128)) | |
| label = gr.outputs.Label() | |
| examples = ['dog.jpg', 'cat.jpg', 'dunno.jpg'] | |
| intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) | |
| intf.launch() | |