app.py

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

# function to detrmine if cat or not
def is_cat(x): return x[0].isupper()

# load model
learn = from_pretrained_fastai('akaigraham/cat-classifier')
categories = ('Dog', 'Cat')

def classify_image(img):
    pred,idx,probs = learn.predict(img)
    return dict(zip(categories, map(float, probs)))

## set up gradio
image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ['dog.jpg', 'cat.jpg']

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