| import gradio as gr | |
| from fastai.vision.all import * | |
| from fastbook import * | |
| import pathlib | |
| plt = platform.system() | |
| if plt != 'Windows': pathlib.WindowsPath = pathlib.PosixPath | |
| ln = load_learner("image_classifier_model.pkl") | |
| catagories = ("House cat", "Wild Cat") | |
| def classify_image(img): | |
| pred, idx, probs = ln.predict(img) | |
| return dict(zip(catagories, map(float, probs))) | |
| intf = gr.Interface(fn=classify_image, inputs=gr.Image(), outputs=gr.Label()) | |
| intf.launch(inline=False) |