| import gradio as gr | |
| from fastai.vision.all import * | |
| from fastbook import * | |
| from fastai.vision.widgets import * | |
| import gradio as gr | |
| from pathlib import Path | |
| import pathlib | |
| plt = platform.system() | |
| if plt == 'Linux': pathlib.WindowsPath = pathlib.PosixPath | |
| learn_inf = load_learner(Path('export.pkl')) | |
| categories = ("maxi", "kairat") | |
| def classify_image(img): | |
| pred,idx,probs = learn_inf.predict(img) | |
| return dict(zip(categories, map(float, probs))) | |
| examples = ["maxi.jpg", "kairat.jpeg"] | |
| intf = gr.Interface(fn=classify_image, inputs=gr.inputs.Image(shape=(192, 192)), outputs=gr.outputs.Label(), examples=examples) | |
| intf.launch(inline=False,share=True) | |