| from fastai.vision.all import * | |
| import gradio as gr | |
| from pathlib import Path | |
| import pathlib | |
| plt = platform.system() | |
| if plt == 'Linux': pathlib.WindowsPath = pathlib.PosixPath | |
| categories = ('Man', 'Woman') | |
| learner = load_learner('export.pkl') | |
| def classify_img(img): | |
| pred, idx, probs = learner.predict(img) | |
| return dict(zip(categories, map(float, probs))) | |
| inputs = gr.Image(height=224, width=224) | |
| outputs = gr.Label() | |
| examples = ['0.jpg', '71.jpg', '47.jpg', '19.jpg'] | |
| intf = gr.Interface(fn= classify_img, inputs=inputs, outputs=outputs, examples=examples) | |
| intf.launch(inline=False) |