from fastai.vision.all import * import gradio as gr learn = load_learner('model.pkl') categories = ('Akita', 'Bull terrier', 'Bulldog', 'Pit Bull', 'Welsh Sheepdog') def classify_image(img): pred, idx, probs = learn.predict(img) return dict(zip(categories, map(float, probs))) image = gr.inputs.Image(shape=(192,192)) label = gr.outputs.Label() intf = gr.Interface(fn = classify_image, inputs = image, outputs = label) intf.launch(inline=False)