Update app.py

app.py

@@ -3,6 +3,7 @@ Eye Screen backend — deploy on Hugging Face Spaces (Gradio SDK).
 Pipeline: image quality gate -> pretrained DR classifier -> Grad-CAM -> calibrated confidence.
 This is the "real model" half of the app. Google AI Studio frontend calls this via its API.
 """
+
 import spaces
 import cv2
 import numpy as np
@@ -59,6 +60,7 @@ def preprocess(img_pil):
     return tensor, arr
 
 
+@spaces.GPU(duration=30)
 def predict(image):
     if image is None:
         return "No image uploaded", "", None, {}
@@ -106,3 +108,4 @@ demo = gr.Interface(
 
 if __name__ == "__main__":
     demo.launch()
+