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Runtime error
| from fastai.vision.all import * | |
| import skimage | |
| import gradio as gr | |
| def predict(img): | |
| pred,pred_idx,probs = learn.predict(img) | |
| return {labels[i]: float(probs[i]) for i in range(len(labels))} | |
| learn = load_learner('export.pkl') | |
| labels = learn.dls.vocab | |
| title = "Demodex Blepharitis Classifier" | |
| description = "A classifier trained on public images to detect Demodex Blepharitis. (Demo)" | |
| # article="<p style='text-align: center'><a href='https://tmabraham.github.io/blog/gradio_hf_spaces_tutorial' target='_blank'>Blog post</a></p>" | |
| interpretation = "default" | |
| examples = ['projectO/Experiments/phase0/demodex/blepharitis.jpg', | |
| 'projectO/Experiments/phase0/demodex/demodex.jpg', | |
| 'projectO/Experiments/phase0/no_demodex/10485-coconut_oil_for_eyelashes_732x549-thumbnail-Recovered-732x549.jpg'] | |
| gr.Interface(fn=predict, | |
| inputs=gr.inputs.Image(shape=(512, 512)), | |
| outputs=gr.outputs.Label(num_top_classes=2), | |
| title = title, | |
| description = description, | |
| # article=article, | |
| examples=examples, | |
| interpretation=interpretation, | |
| enable_queue=True).launch(share=True) |