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);