app.py

#/export
learn=load_learner('model.pkl')
categories=('Dog','Cat')
def classify_image(img):
  pred,ind,probs=learn.predict(img)
  return dict(zip(categories,map(float,probs)))
# !pip install gradio
import gradio as gr
image=gr.inputs.Image(shape=(192,192))
label=gr.outputs.Label()

def greet(name): return f"hello {name}"

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