# AUTOGENERATED! DO NOT EDIT! File to edit: ../nbs/app.ipynb.

# %% auto 0
__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'is_cat', 'classify_image']
from fastai.vision.all import *
import gradio as gr
from pathlib import Path

def is_cat(x) -> bool:
    return x[0].isupper()

learn = load_learner("model.pkl")

categories = ("Dog", "Cat")

def classify_image(img):
    _, _, probs = learn.predict(img)
    return dict(zip(categories, [float(p) for p in probs]))

image = gr.inputs.Image(shape=(192, 192))
label = gr.outputs.Label()
examples = [str(x) for x in Path("examples").iterdir()]
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.launch(inline=True)