# AUTOGENERATED! DO NOT EDIT! File to edit: SceneCat.ipynb.

# %% auto 0
__all__ = ['nbpath', 'learn_inf', 'examples', 'intf', 'classify_img']

# %% SceneCat.ipynb 3
from fastai.vision.all import *
import gradio as gr

# %% SceneCat.ipynb 26
# carregando o arquivo com o modelo para inferência
nbpath = Path()
learn_inf = load_learner(nbpath/'scenecat.pkl')

# %% SceneCat.ipynb 28
# Vamos criar uma função para categorizar as imagens
def classify_img(img):
    pred, idx, probs = learn_inf.predict(img)
    return dict(zip(learn_inf.dls.vocab, map(float, probs)))

# %% SceneCat.ipynb 31
examples = ['test_anime.jpg', 'test_cartoon.jpg', 'test_live_action.webp']

intf = gr.Interface(fn=classify_img, inputs=gr.Image(), outputs=gr.Label(), examples=examples, flagging_dir='flagged')
intf.launch(inline=False)