from fastai.vision.all import * import gradio as gr learn = load_learner('model.pkl') categories = ( 'NotHijab','Hijab','Man') def classify_image(img): pred, idx,probs = learn.predict(img) return dict(zip(categories, map(float,probs))) image = gr.inputs.Image(shape=(192,192)) lebel = gr.outputs.Label() examples = ['hijab.jpeg','nothijab.jpeg','man.jpeg'] intf = gr.Interface(fn=classify_image, inputs=image, outputs=lebel,examples=examples) intf.launch(inline=False)