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__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) |