app.py

__all__ = ["label_func", "learn", "classify_image", "categories", "image", "label", "examples", "intf"]

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

def label_func(x): return x.parent.name

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()
examples = ["cowslip.jpg", "daffodil.jpg", "snowdrop.jpg", "buttercup.jpg"]

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