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

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

# %% app.ipynb 2
from fastai.vision.all import *

import gradio as gr
def is_damaged(x): return x[1].isupper()

# %% app.ipynb 6
learn =load_learner('model.pkl')

# %% app.ipynb 8
categories = ('Not Damaged','Damaged')

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

# %% app.ipynb 10
image = gr.Image()
label = gr.Label()
examples = ['building.jpg', 'damaged_building.jpg']

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