# AUTOGENERATED! DO NOT EDIT! File to edit: ../pet-classifier-test.ipynb.

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

# %% ../pet-classifier-test.ipynb 1
from fastai.vision.all import *
import gradio as gr
from huggingface_hub import hf_hub_download

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

# %% ../pet-classifier-test.ipynb 3
learn = load_learner(hf_hub_download(repo_id='sledik/doggy-catty', filename='model.pkl'))

# %% ../pet-classifier-test.ipynb 5
categories = ('Dog', 'Cat')
def classify_image(img):
    pred, idx, probs = learn.predict(img)
    return dict(zip(categories, map(float, probs)))

# %% ../pet-classifier-test.ipynb 7
image = gr.Image()
label = gr.Label()
#examples = ['image-2.png', 'image-5.png', 'dog-puppy.jpg', 'German-Shepherd-dog-Alsatian.jpg.webp']
examples = []

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