app.py

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

learn = load_learner('breed_model.pkl')

categories = learn.dls.vocab

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

image = gr.inputs.Image((192, 192))
label = gr.outputs.Label()
examples = ['basset.jpg']

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