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

# %% auto 0
__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'iface', 'is_cat', 'classify_image']

# %% ../test_hugging_face.ipynb 2
from fastai.vision.all import *
import gradio as gr

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

# %% ../test_hugging_face.ipynb 4
learn = load_learner('model.pkl')

# %% ../test_hugging_face.ipynb 6
categories = ('Dog', 'Cat')

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

# %% ../test_hugging_face.ipynb 8
image = gr.components.Image(width=192, height=192)
label = gr.components.Label()
examples = ['dog.jpg', 'cat.jpg', 'dunno.jpg']

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