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

# %% auto 0
__all__ = ['learner', 'labels', 'examples', 'predict']

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

# %% app.ipynb 2
learner = load_learner('export.pkl')

# %% app.ipynb 5
labels = learner.dls.vocab
def predict(img):
    img = PILImage.create(img)
    pred,pred_idx,probs = learner.predict(img)
    return {labels[i]: float(probs[i]) for i in range(len(labels))}

# %% app.ipynb 6
examples = ['dog.jpeg', 'cat.jpeg']
import gradio as gr
gr.Interface(fn=predict, 
             inputs=gr.inputs.Image(shape=(512, 512)), 
             outputs=gr.outputs.Label(num_top_classes=3),
            examples=examples).launch()