app.py

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

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

# %% ../broken_windows.ipynb 19
from fastai.vision.all import *
import gradio as gr

def is_broken(x): return x[0].isupper()

# %% ../broken_windows.ipynb 20
learn = load_learner('model.pkl')

# %% ../broken_windows.ipynb 21
categories = ('Broken window', 'Not broken window')

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

# %% ../broken_windows.ipynb 22
image = gr.Image()
label = gr.Label()
examples = ['window.jpg', 'broken_window.jpg']

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