__all__ = ['is_safe', 'learn', 'classify_image', 'categories', 'image', 'label', 'exampples', 'intf']

# Cell

from fastai.vision.all import *
import gradio as gr

# Cell
def is_safe(x): return x[0].isupper()

# Cell
learn = load_learner('model.pkl')

# Cell
categories = ('asphalt', 'danger', 'grass')

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

# Cell

image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ['img/asphalt_01.png', 'img/asphalt_10.png', 'img/danger_14.png', 'img/danger_16.png', 'img/grass_09.png', 'img/grass_17.png']

# Cell

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