app.py

import gradio as gr

def image_classifier(inp):
    return {'cat': 0.3, 'dog': 0.7}

demo = gr.Interface(fn=image_classifier, inputs="image", outputs="label",
                    examples="examples", cache_examples=False)
#demo = gr.Interface(fn=image_classifier, inputs="image", outputs="label", 
#                    examples="examples/negative001.jpg examples/negative002.jpg".split())
demo.launch()