# %%
#id first_training
#caption Results from the first training
# CLICK ME
#|export
from fastai.vision.all import *

path = untar_data(URLs.PETS)/'images'

def is_cat(x): return x[0].isupper()
dls = ImageDataLoaders.from_name_func(
    path, get_image_files(path), 
    valid_pct=0.2, 
    seed=42,
    label_func=is_cat, 
    item_tfms=Resize(224)
)

learn = vision_learner(dls, resnet34, metrics=error_rate)
learn.fine_tune(1)

# %%

from IPython.display import display
from ipywidgets import widgets

uploader = widgets.FileUpload()
display(uploader)

# %%
#|export
# For the book, we can't actually click an upload button, so we fake it
uploader = SimpleNamespace(data = ['data/interim/th-1.webp'])

# %%
#|export
img = PILImage.create(uploader.data[0])
is_cat,_,probs = learn.predict(img)
print(f"Is this a cat?: {is_cat}.")
print(f"Probability it's a cat: {probs[1].item():.6f}")