| from fastai.vision.all import * | |
| import gradio as gr | |
| import pathlib | |
| plt = platform.system() | |
| if plt == 'Windows': pathlib.WindowsPath = pathlib.PosixPath | |
| learn = load_learner('number_100.pkl') | |
| categories = ('0', '1', '2', '3', '4', '5', '6', '7', '8', '9') | |
| def classify_img(img): | |
| pred,idx,probs = learn.predict(img) | |
| return dict(zip(categories, map(float, probs))) | |
| inputs = gr.inputs.Image(shape=(192,192)) | |
| label = gr.outputs.Label() | |
| iface = gr.Interface(fn=classify_img, inputs=inputs, outputs=label) | |
| iface.launch(inline=False) |