| from fastai.vision.all import * | |
| import gradio as gr | |
| learn = load_learner('model.pkl') | |
| categories = ('Cat', 'Dog') | |
| def classify_image(img): | |
| pred,idx,probs = learn.predict(img) | |
| return dict(zip(categories, map(float,probs))) | |
| inp_img = gr.inputs.Image(shape=(512, 512)) | |
| out_label = gr.outputs.Label(), | |
| iface = gr.Interface(fn=classify_image, | |
| inputs=inp_img, | |
| outputs=out_label, | |
| examples=examples, | |
| title="Pet classifier") | |
| iface.launch(inline=False) | |