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| from fastai.vision.all import * | |
| import gradio as gr | |
| learn = load_learner('model.pkl') | |
| categories = ('Meth Damon', 'Matt Damon') | |
| def classify_image(img): | |
| pred, idx, probs = learn.predict(img) | |
| return dict(zip(categories, map(float, probs))) | |
| image = gr.inputs.Image(shape=(192, 192)) | |
| label = gr.outputs.Label() | |
| examples = ['matt damon.jpg', 'jesse.jpeg', 'matt damon 2.webp', 'jesse 2.jpeg', | |
| 'matt damon 3.webp', 'jesse 3.webp', 'matt damon 4.webp', 'jesse 4.webp'] | |
| intf = gr.Interface(fn=classify_image, inputs=image, | |
| outputs=label, examples=examples) | |
| intf.launch(inline=False) | |