| import gradio as gr | |
| from fastai.vision.all import * | |
| def is_cat(x): return x[0].isupper() | |
| learn = load_learner('basicFAI.pkl') | |
| categories = ('Dog', 'Cat') | |
| def classify_image(img): | |
| pred, ids, probs = learn.predict(img) | |
| return dict(zip(categories, map(float, probs))) | |
| image = gr.inputs.Image(shape=(192, 192)) | |
| label = gr.outputs.Label() | |
| examples = ['dog1.jpg', 'cat1.jpg', 'dunno1.jpg'] | |
| iface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) | |
| iface.launch(inline=False) |