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

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

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

# %% app.ipynb 3
learn = load_learner('model.pkl')

# %% app.ipynb 5
categories =  [cat.capitalize() for cat in learn.dls.vocab]

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

# %% app.ipynb 7
image = gr.Image()
label = gr.Label()

examples = ['examples/badland.jpg', 'examples/horizon.jpg', 'examples/unforgiven.jpg', 'examples/terminator.jpg', 'examples/interstellar.jpg', 'examples/cowboys_aliens.jpg', 'examples/mad-max.jpg']

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