from fastai.vision.all import * import gradio as gr import pathlib plt = platform.system() if plt == 'Linux': pathlib.WindowsPath = pathlib.PosixPath learn = load_learner("export.pkl" ) bear_types = ('grizzly' , 'black' , 'teddy') def classify_image(img): pred, pred_idx, probs = learn.predict(img) return dict(zip(bear_types , map(float , probs))) image = gr.inputs.Image(shape=(224 , 224)) label = gr.outputs.Label() examples = ["teddy.jpg" , "black.jpg" , "grizzly.jpg" ] intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) intf.launch(inline = False)