|
|
|
|
|
|
|
__all__ = ['learn', 'categories', 'image', 'examples', 'classify_image'] |
|
|
|
|
|
from fastai.vision.all import * |
|
import gradio as gr |
|
|
|
|
|
|
|
learn = load_learner('speed.pkl') |
|
|
|
|
|
categories = ['0', '100', '105', '110', '115', '120', '130', '140', '35', '40', '45', '50', '55', '60', '65', '70', '75', '80', '85', '90', '95'] |
|
|
|
def classify_image(img): |
|
pred, idx, probs = learn.predict(img) |
|
|
|
return dict(zip(categories, map(float, probs))) |
|
|
|
|
|
image = gr.Image() |
|
|
|
examples = ['45.png', '80.png', '120.png'] |
|
|
|
gr.Interface(fn=classify_image, inputs=image, outputs='label', examples=examples).launch() |
|
|