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

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

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

# def is_cat(x):
#     x[0].is_upper()

# %% ../app.ipynb 5
learner = load_learner("model2.pkl")

# %% ../app.ipynb 7
categories = ("black", "grizzly", "teddy")

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

# %% ../app.ipynb 11
image = gr.inputs.Image(shape=(192, 192))
label = gr.outputs.Label()
examples = ["teddy.jpg", "grizzly.jpg", "black.jpg"]

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