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

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

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

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

# %% deploy.ipynb 5
learn = load_learner('model.pkl')

# %% deploy.ipynb 7
categories = ("Dog", "Cat")

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

# %% deploy.ipynb 9
image = gr.Image(type='pil')
label = gr.Label()
examples=['dogt1.jpg','Siberian-Cat.jpg']

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