# AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb.
# %% auto 0
__all__ = ['path', 'dls', 'learn', 'loaded_learn', 'categories', 'image', 'label', 'examples', 'intf', 'is_cat', 'classify_image']

# adding to requirements doesn't work
import os 
os.system("pip uninstall -y gradio") 
os.system("pip install gradio==3.50.0")

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

path = untar_data(URLs.PETS)/'images'
def is_cat(x): return x[0].isupper() 

# %% app.ipynb 3
loaded_learn = load_learner('model.pkl')
categories = ("Dog", "Cat")
def classify_image(img):
    pred, idx, probs = loaded_learn.predict(img)
    return dict(zip(categories, map(float, probs)))
    
image = gr.inputs.Image(shape=(192, 192))
label = gr.outputs.Label()
examples = ["doggo.jpg", "catto.jpg", "test.jpg"]

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