app.py

# AUTOGENERATED! DO NOT EDIT! File to edit: ../02_tipos_rua.ipynb.
import gradio as gr
from fastai.vision.all import *
# %% auto 0
__all__ = ['learn_deploy', 'categories', 'image',
           'label', 'examples', 'intf', 'classify_image']

# %% ../02_tipos_rua.ipynb 45
import gradio as gr
from fastai.vision.all import *

# %% ../02_tipos_rua.ipynb 46
learn_deploy = load_learner('export.pkl')

# %% ../02_tipos_rua.ipynb 48
categories = ('estrada de chão', 'rua asfaltada')


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


# %% ../02_tipos_rua.ipynb 52
image = gr.inputs.Image(shape=(192, 192))
label = gr.outputs.Label()
examples = ['asfaltada.jpg', 'estrada.jpg']

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