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| import gradio as gr | |
| import fastai | |
| from fastai.vision.all import * | |
| learn_inf = load_learner('model.pkl') | |
| categories=('Abstract Expressionism', 'Baroque', 'Cubism', 'Impressionism', 'Realism') | |
| def classify_image(img): | |
| pred,idx,probs=learn_inf.predict(img) | |
| return dict(zip(categories,map(float,probs))) | |
| # image=gr.inputs.Image(shape=(192,192)) | |
| label=gr.Label() | |
| examples=['ae.png'] | |
| intf=gr.Interface(fn=classify_image,inputs=gr.Image(type="pil"), outputs=label) | |
| intf.launch(inline=False) |