import gradio as gr from fastai.vision.all import * learn = load_learner('export.pkl') categories = ('grizzly', 'black', 'teddy') def classify_image(img): pred, idx, probs = learn.predict(img) return dict(zip(categories, map(float, probs))) image = gr.inputs.Image(shape=(224, 224)) label = gr.outputs.Label() iface = gr.Interface(fn=classify_image, inputs=image, outputs=label) iface.launch()