# AUTOGENERATED! DO NOT EDIT! File to edit: ../lesson2.ipynb.

# %% auto 0
__all__ = ['path', 'title', 'description', 'article', 'learn', 'labels', 'classify_image']

# %% ../lesson2.ipynb 1
from fastai.vision.all import *

# %% ../lesson2.ipynb 2

learn = load_learner('export.pkl')

# %% ../lesson2.ipynb 10
labels = learn.dls.vocab
def predict(img):
    img = PILImage.create(img)
    pred,pred_idx,probs = learn.predict(img)
    return {labels[i]: float(probs[i]) for i in range(len(labels))}

# %% ../lesson2.ipynb 13
import gradio as gr
gr.Interface(fn=predict,inputs=gr.inputs.Image(shape=(512, 512)), outputs=gr.outputs.Label(num_top_classes=3)).launch()

# %%