Update app.py

app.py

@@ -132,7 +132,7 @@ def preprocess_image(image, std_dev=0.1, downscale_factor=4, target_size=(256, 2
     resized_img = resized_img.astype(np.float32) / 255.0
 
     # Agregar ruido gaussiano
-    noise = np.random.normal(0, std_dev, resized_img.shape)
+    noise = np.random.normal(1, std_dev, resized_img.shape)
     noisy_img = resized_img + noise
     noisy_img = np.clip(noisy_img, 0, 1)