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

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

# %% app.ipynb 2
from fastai.vision.all import *
from huggingface_hub import push_to_hub_fastai, from_pretrained_fastai
import gradio as gr

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

# %% app.ipynb 7
#learn = from_pretrained_fastai("fastai/cat_or_dog")
learn = load_learner('model.pkl')

# %% app.ipynb 9
categories = ('Dog', 'Cat')

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

# %% app.ipynb 11
image = gr.Image(height=512, width=512)
label = gr.Label()
examples = ['dog.jpg', 'cat.jpg', 'dunno.jpg']

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