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Download app.py from csanjay/DR_Predictor: direct link, hf CLI and curl.
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https://huggingface.co/spaces/csanjay/DR_Predictor/resolve/main/app.py
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hf download hf://spaces/csanjay/DR_Predictor/app.py
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curl -L -o app.py https://huggingface.co/spaces/csanjay/DR_Predictor/resolve/main/app.py
850 Bytes
| from fastai.vision.all import * | |
| import gradio as gr | |
| learn = load_learner("export.pkl") | |
| categories = ("No Diabetic Retinopathy", "Diabetic Retinopathy") | |
| def classify_image(img): | |
| pred,idx,probs = learn.predict(img) | |
| return dict(zip(categories, map(float,probs))) | |
| image = gr.inputs.Image(shape=(192,192)) | |
| label = gr.outputs.Label() | |
| examples = ['stage0.jpeg','stage0_2.jpeg','stage4.jpeg', 'stage4_2.jpeg'] | |
| title = 'Diabetic Retinopathy Predictor' | |
| description = 'This app predicts diabetic retinopathy, a potentially blinding disease, from color fundus photograms. For reference only.' | |
| article = "Author: <a href=\"https://huggingface.co/csanjay\">Sanjay Chandrasekar</a>. " | |
| intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples, title=title, description=description, article=article) | |
| intf.launch(inline=False) |