app.py

import fastai
import gradio as gr

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

learn =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()
example=['dog.jpg']
intf=gr.Interface(fn=classify_image,inputs=image,outputs=label,examples=example)
intf.launch()