| # %% | |
| #|default_exp app | |
| # %% | |
| #|export | |
| import gradio as gr | |
| from fastai.vision.all import * | |
| def is_cat(x): return x[0].isupper() | |
| learn = load_learner('model.pkl') | |
| #|export | |
| categories = ('Dog', 'Cat') | |
| def classify_image(im): | |
| pred, pred_idx, probs = learn.predict(im) | |
| return dict(zip(categories, map(float, probs))) | |
| #|export | |
| image = gr.Image(type="pil") | |
| label = gr.Label(num_top_classes=2) | |
| examples = ['dog.jpg', 'cat.jpg', 'bear.jpg'] | |
| intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) | |
| intf.launch(share=True, inline=False) | |