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7669f3a
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Parent(s):
2d500f0
Update app.py
Browse files
app.py
CHANGED
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import gradio as gr
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from
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import skimage
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def predict(img):
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title = "Proliferative Retinopathy Detection"
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description = """Detects severity of diabetic retinopathy -
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0 - No DR
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@@ -28,4 +37,4 @@ article="<p style='text-align: center'><a href='https://www.kaggle.com/code/jose
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interpretation='default'
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enable_queue=True
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gr.Interface(fn=predict,inputs=gr.inputs.Image(shape=(512, 512)),outputs=gr.outputs.Label(num_top_classes=6),title=title,description=description,article=article,
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import gradio as gr
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from huggingface_hub import InferenceAPI
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# Specify the model name
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model_repo = "jdelgado2002/diabetic_retinopathy_detection"
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# Initialize the InferenceAPI client
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api = InferenceAPI(model_repo)
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labels = ["No DR", "Mild", "Moderate", "Severe", "Proliferative DR"]
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def predict(img):
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# Convert the image to a base64 string
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img_str = gr.inputs.Image.to_base64(img, ext="jpeg")
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# Perform inference
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inputs = {"inputs": img_str}
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result = api(inputs)
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# Convert the result to the expected format
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return {labels[i]: float(result[i]) for i in range(len(labels))}
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title = "Proliferative Retinopathy Detection"
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description = """Detects severity of diabetic retinopathy -
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0 - No DR
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interpretation='default'
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enable_queue=True
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gr.Interface(fn=predict,inputs=gr.inputs.Image(shape=(512, 512)),outputs=gr.outputs.Label(num_top_classes=6),title=title,description=description,article=article,interpretation=interpretation,enable_queue=enable_queue).launch()
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