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

# %% auto 0
__all__ = ['categories', 'examples', 'inft', 'is_cat', 'classify_image']

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

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

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

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

# %% gradio_model_app.ipynb 8
# image = gr.inputs.Image(shape=(192, 192))
# label = gr.outputs.Label()
# examples = ['dog.jpg', 'cat.jpg', 'dunno.png']

inft = gr.Interface(fn=classify_image, 
                    inputs=gr.Image(shape=(192, 192)), 
                    outputs=gr.Label())
inft.launch(inline=False)