from fastai.vision.all import * import gradio as gr import timm learn = load_learner('model.pkl') categories = learn.dls.vocab def classify_image(img): pred, idx, probs = learn.predict(img) return dict(zip(categories, map(float, probs))) image = gr.inputs.Image(shape=(224, 224)) label = gr.outputs.Label() # examples = ['black-bear.jpg', 'grizzly-bear.jpg', 'teddy-bear.jpg'] title= "Car Classifer" intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, title=title) intf.launch(inline=False)