import pathlib temp = pathlib.PosixPath pathlib.PosixPath = pathlib.WindowsPath from fastai.vision.all import * import gradio as gr def is_pitbull(x): return 'american_pit_bull' in x.lower() learn = load_learner('model.pkl') pathlib.PosixPath = temp categories = ('not a Pitbull','a Pitbull') def classify_image(img): pred,idx,probs = learn.predict(img) return dict(zip(categories, map(float,probs))) image = gr.inputs.Image(shape=(192,192)) label = gr.outputs.Label() examples = ['images\pitbull.jpg','images\cat.jpg','images\dog.jpg'] intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) intf.launch()