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

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

# %% notebook.ipynb 0
import gradio as gr
from fastai.vision.all import *

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

im = PILImage.create("dog.jpg")
im.thumbnail((128,128))
im

# %% notebook.ipynb 1
learn = load_learner('model.pkl')

# %% notebook.ipynb 3
categories = ('Dog', 'Cat')

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

# %% notebook.ipynb 5
examples = ['dog.jpg', 'cat.jpg', 'dunno.jpg']

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