from fastai.vision.all import * import gradio as gr l2 = load_learner('model.lrn') categories = ('Dog', 'Cat') def classify_image(img): pred,idx,probs = l2.predict(img) return dict(zip(categories, map(float,probs))) image = gr.inputs.Image(shape=(128, 128)) 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()