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Runtime error
| import gradio as gr | |
| from fastai.vision.all import * | |
| import skimage | |
| learn = load_learner('model.pkl') | |
| labels = learn.dls.vocab | |
| def predict(img): | |
| img = PILImage.create(img) | |
| pred,pred_idx,probs = learn.predict(img) | |
| return {labels[i]: float(probs[i]) for i in range(len(labels))} | |
| article="<p style='text-align: center'><a href='https://www.linkedin.com/in/zakcroft' target='_blank'>Me</a></p>" | |
| demo = gr.Interface(fn=predict, | |
| inputs=gr.Image(width=512, height=512), | |
| outputs=gr.Label(num_top_classes=3), | |
| title="Bear Classifier", | |
| description="Grizzly, black or Teddy?", | |
| article=article, | |
| examples=['black.jpeg', 'grizzly.jpeg', 'teddy.jpeg', | |
| 'black-2.jpeg', 'grizzly-2.webp', 'teddy-2.webp'], | |
| # interpretation='default', | |
| # enable_queue=True | |
| flagging_options=['should be Black', 'should be Grizzly', 'should be Teddy', 'should be None'] | |
| ).launch(share=True) | |
| # demo = gr.Interface( | |
| # fn=predict, | |
| # inputs=gr.inputs.Image(shape=(512, 512)), | |
| # outputs=gr.outputs.Label(num_top_classes=3), | |
| # title=title, | |
| # description=description | |
| # ,article=article, | |
| # examples=examples, | |
| # interpretation=interpretation, | |
| # enable_queue=enable_queue).launch() | |
| if __name__ == "__main__": | |
| demo.launch(show_api=False) |