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from fastai.vision.all import * | |
import gradio as gr | |
import pathlib | |
plt = platform.system() | |
if plt == 'Linux': pathlib.WindowsPath = pathlib.PosixPath | |
modelPath = Path('model.pkl') | |
learn = load_learner(modelPath) | |
categories = ('0', '1', '2', '3', '4', '5', '6', '7', '8', '9') | |
def classify_image(img): | |
pred,idx,probs = learn.predict(img) | |
return dict(zip(categories, map(float, probs))) | |
image = gr.inputs.Image(shape=(28,28)) | |
label = gr.outputs.Label() | |
examples = ['img_0.jpg', 'img_1.jpg', 'img_2.jpg', 'img_4.jpg', 'img_7.jpg'] | |
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) | |
intf.launch(inline=False) |