import gradio as gr from fastcore.all import * import time from fastai.vision.all import * image = gr.inputs.Image(shape=(192,192)) label = gr.outputs.Label() examples = ['bmw_750.jpeg'] categories = ['bmw car', 'mercedes car'] learn = load_learner("export.pkl") def classify_image(img): pred, _, prob = learn.predict(img) return dict(zip(categories, map(float, probs))) intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) intf.launch(inline=False)