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

learn = load_learner("model.pkl")

categories = ["black", "grizzly", "teddy"]


def classify_image(img):
    prediction, idx, prob = learn.predict(img)
    return {category: float(prob[i]) for (i, category) in enumerate(categories)}


image = gr.components.Image(shape=(224, 224))
label = gr.components.Label(num_top_classes=3)
examples = ["images/black.jpeg", "images/grizzly.jpeg", "images/teddy.jpeg"]

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