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

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

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

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


# %% ../cat_classifier_deployment.ipynb 4
learn = load_learner('model.pkl')

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

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


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

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