app.py

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


def is_cat(x): return


learn = load_learner('model.pkl')

categories = ('Dog', 'Cat')


def classify_image(img):
    pred, 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"]


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