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| import gradio as gr | |
| from fastai.vision.all import * | |
| learn = load_learner('export.pkl') | |
| def classify_image(img): | |
| pred, pred_idx, probs = learn.predict(img) | |
| return dict(zip(learn.dls.vocab, map(float, probs))) | |
| # def greet(name): | |
| # return "Hello " + name + "!!" | |
| image = gr.Image(height=192, width=192) | |
| intf = gr.Interface(fn=classify_image, | |
| inputs=image, | |
| outputs='label' | |
| ) | |
| intf.launch(inline=False) |