app.py

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

warnings.simplefilter("ignore", category=UserWarning)

learn = load_learner('model.pkl')

warnings.resetwarnings()

categories = ('Bee', 'Wasp')

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

image = gr.Image()
label = gr.Label()

examples = ['bee.jpg', 'wasp.jpg']

interface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)

interface.launch(inline=False)