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

learn = load_learner('model.pkl')

categories = ['bird', 'cat', 'dog', 'forest']

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

image = gr.Image(type="pil")
label = gr.Label()

interface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=['bird.jpg', 'cat.jpg', 'dog.jpg', 'forest.jpg'])

interface.launch()