# AUTOGENERATED! DO NOT EDIT! File to edit: 3.GardioTest.ipynb.


import platform
import pathlib
plt = platform.system()
if plt != 'Windows':
  pathlib.WindowsPath = pathlib.PosixPath


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

# %% 3.GardioTest.ipynb 1
from fastai.vision.all import *
import gradio as gr

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

# %% 3.GardioTest.ipynb 3
learn = load_learner('model.pkl')

# %% 3.GardioTest.ipynb 5
categories = ('Dog','Cat')

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

# %% 3.GardioTest.ipynb 7
image = gr.Image(height=192,width=192)
label = gr.Label()
examples=['dog.jpg','cat.jpg','dunno.jpg']

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