Update app.py

app.py

@@ -191,36 +191,17 @@ def infer_camera_edit(
     to an input image.
 
     Args:
-        image (PIL.Image.Image):
-            Input image to edit. 
-        rotate_deg (float, optional):
-            Horizontal rotation in degrees (-90, -45, 0, 45, 90). Positive values rotate
-            to the left, negative to the right. Defaults to 0.0.
-        move_forward (float, optional):
-            Forward movement / zoom factor (0, 5, 10). Higher values move the
-            camera closer; values >5 switch to a close-up style. Defaults to 0.0.
-        vertical_tilt (float, optional):
-            Vertical tilt (-1 to 1). -1 ≈ bird's-eye view, +1 ≈ worm's-eye view.
-            Defaults to 0.0.
-        wideangle (bool, optional):
-            Whether to use a wide-angle lens style. Defaults to False.
-        seed (int, optional):
-            Random seed for the generation. Ignored if `randomize_seed=True`.
-            Defaults to 0.
-        randomize_seed (bool, optional):
-            If True, a random seed (0..MAX_SEED) is chosen per call.
-            Defaults to True.
-        true_guidance_scale (float, optional):
-            CFG / guidance scale controlling prompt adherence.
-            Defaults to 1.0 since the demo is using a distilled transformer for faster inference.
-        num_inference_steps (int, optional):
-            Number of inference steps. Defaults to 4.
-        height (int, optional):
-            Output image height. Must typically be a multiple of 8.
-            If set to 0, the model will infer a size. Defaults to 0 if none is provided.
-        width (int, optional):
-            Output image width. Must typically be a multiple of 8.
-            If set to 0, the model will infer a size. Defaults to 0 if none is provided.
+        image (PIL.Image.Image): Input image to edit. 
+        rotate_deg (float, optional): Horizontal rotation in degrees (-90, -45, 0, 45, 90). Positive values rotate to the left, negative to the right. Defaults to 0.0.
+        move_forward (float, optional): Forward movement / zoom factor (0, 5, 10). Higher values move the camera closer; values >5 switch to a close-up style. Defaults to 0.0.
+        vertical_tilt (float, optional): Vertical tilt (-1 to 1). -1 ≈ bird's-eye view, +1 ≈ worm's-eye view. Defaults to 0.0.
+        wideangle (bool, optional): Whether to use a wide-angle lens style. Defaults to False.
+        seed (int, optional): Random seed for the generation. Ignored if `randomize_seed=True`. Defaults to 0.
+        randomize_seed (bool, optional): If True, a random seed (0..MAX_SEED) is chosen per call. Defaults to True.
+        true_guidance_scale (float, optional): CFG / guidance scale controlling prompt adherence. Defaults to 1.0 since the demo is using a distilled transformer for faster inference.
+        num_inference_steps (int, optional): Number of inference steps. Defaults to 4.
+        height (int, optional): Output image height. Must typically be a multiple of 8. If set to 0, the model will infer a size. Defaults to 0 if none is provided.
+        width (int, optional): Output image width. Must typically be a multiple of 8. If set to 0, the model will infer a size. Defaults to 0 if none is provided.
 
     Returns:
         Tuple[PIL.Image.Image, int, str]: