categories=('white people','black people') def func_classi(img): pred,idx,probs=learn.predict(img) return dict(zip(categories,map(float,probs))) import gradio as gr image=gr.inputs.Image(shape=(192,192)) label=gr.outputs.Label() examples=('white people','black people') demo = gr.Interface(fn=func_classi, inputs="image", outputs="label") demo.launch(inline=False,share=True)