app.py

import gradio as gr
from fastai.vision.all import load_learner, PILImage


def is_cat(x):
    return x[0].isupper()


learner = load_learner("model.pkl")

categories = ("Dog", "Cat")


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


examples = ["dog.jpg", "cat.jpg"]

image = gr.Image(height=192, width=192)
label = gr.Label()
# exam
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.launch()