app.py

__all__=['is_cat', 'learn','classify_image','categories','image','label','examples','intf']

from fastai.vision.all import *
import gradio as gr

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

learn=load_learner('export.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)
intf.launch(inline=False)