import gradio as gr

def is_cat(x): return x[0].isupper()

learner = load_learner('model.pkl')

categories = ('dog', 'cat')

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()
examples  = ['dog.jpg','cat.jpg','dunno.jpg']

intf =  gr.Interface(fn=classify_image,inputs=image,outputs=label,examples=examples)

intface.launch()