app.py

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

learn = load_learner('dog_breeds_model.pkl')

categories = ['Golden Retriever', 'Labrador Retriever', 'French bulldog', 'Beagle', 'German shepherd dog', 'Poodle', 'Bulldog']

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()

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