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

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

learn = load_learner("model.pkl")

warnings.resetwarnings()

categories = ("heavy truck", "car", "bike")


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


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

examples = [
    "carro1.jpeg",
    "carro2.jpeg",
]

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


intf.launch(inline=False)