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

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

# %% ../my_model.ipynb 2
from fastai.vision.all import *
import gradio as gr
from pathlib import Path


# %% ../my_model.ipynb 4
model_file_path = Path(__file__).parent / 'eagle_or_parrot_model.pkl'
learn = load_learner(model_file_path, cpu=True)

# %% ../my_model.ipynb 5
categories = ['eagle', 'parrot']

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

# %% ../my_model.ipynb 8
image = gr.inputs.Image(shape=(192, 192))
label = gr.outputs.Label()
examples = ['parrot.jpg', 'eagle.jpg', 'lion.jpg']

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