| import gradio as gr | |
| from fastai.vision.all import *; | |
| def is_cat(x): | |
| return x[0].isupper(); | |
| learner = load_learner('model.pkl'); | |
| categories = ('Dog', 'Cat'); | |
| def classify_image(img): | |
| pred, idx, probs = learner.predict(img); | |
| return dict(zip(categories, map(float, probs))) | |
| image = gr.inputs.Image(shape=(192,192)); | |
| 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(inline=False); | |