from fastai.vision.all import * import gradio as gr from gradio.components import Image, Label 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 = Image(shape=(28,28)) label = Label() examples = ['img_0.png', 'img_1.jpg'] intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) intf.launch(inline=False)