RunCode

Diabetic Retinopathy Detector API The Diabetic Retinopathy Detector is a highly accurate model deployed to predict the severity of diabetic retinopathy in retinal images. This model achieves a 97.5% accuracy rate and is accessible via a public API for healthcare professionals, researchers, and developers. API Details Endpoint: https://5000-patient-truth-71443... Authentication: The API requires an API key for access. Add the following header in your request: X-Api-Key: nawabBhaikamodel ```python import requests url = "https://5000-patient-truth-71443..." headers = {"X-Api-Key": "nawabBhaikamodel"} image_path = "path_to_retinal_image.jpg" with open(image_path, "rb") as image_file: files = {"file": image_file} response = requests.post(url, headers=headers, files=files) if response.status_code == 200: print("Prediction:", response.json()) else: print("Error:", response.text) ```` Response The API returns a JSON object: ```json { "prediction": "Moderate", "confidence": 97.5 } ```