| import gradio as gr | |
| from fastai.vision.all import * | |
| # logic | |
| learn = load_learner('model.pkl') | |
| categories = ('Dog', 'Cat') | |
| def classify_image(img): | |
| pred,idx,probs = learn.predict(img) | |
| return dict(zip(categories, map(float, probs))) | |
| # UI | |
| image = gr.Image(height=192, width=192) | |
| label = gr.Label(num_top_classes=2) | |
| examples = ['dog.jpg','cat.jpg', 'dunno.jpg'] | |
| gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples).launch(share=True) | |