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

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

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

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

# %% app.ipynb 4
learn=load_learner("model.pkl")

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

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

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

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