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.png','stage0_2.png','stage4.png', 'stage4_2.png'] title = 'Diabetic Retinopathy Predictor' description = 'This app predicts diabetic retinopathy, a potentially blinding disease, from color fundus photograms. For reference only.' article = "Author: Sanjay Chandrasekar. " intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples, title=title, description=description, article=article) intf.launch(inline=False)