Update app.py

app.py

@@ -171,7 +171,7 @@ def build_camera_prompt(
 
 @spaces.GPU
 def infer_camera_edit(
-    image: Optional[Image.Image] = None,
+    image,
     rotate_deg: float = 0.0,
     move_forward: float = 0.0,
     vertical_tilt: float = 0.0,
@@ -182,7 +182,6 @@ def infer_camera_edit(
     num_inference_steps: int = 4,
     height: Optional[int] = None,
     width: Optional[int] = None,
-    prev_output: Optional[Image.Image] = None,
 ) -> Tuple[Image.Image, int, str]:
     """
     Edit the camera angles/view of an image with Qwen Image Edit 2509 and dx8152's Qwen-Edit-2509-Multiple-angles LoRA.
@@ -191,10 +190,8 @@ def infer_camera_edit(
     to an input image.
 
     Args:
-        image (PIL.Image.Image | None, optional):
-            Input image to edit. If `None`, the function will instead try to
-            use `prev_output`. At least one of `image` or `prev_output` must
-            be available. Defaults to None.
+        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.
@@ -223,9 +220,6 @@ def infer_camera_edit(
         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 1024 if none is provided.
-        prev_output (PIL.Image.Image | None, optional):
-            Previous output image to use as input when no new image is uploaded.
-            Defaults to None.
 
     Returns:
         Tuple[PIL.Image.Image, int, str]:
@@ -249,8 +243,8 @@ def infer_camera_edit(
             pil_images.append(image.convert("RGB"))
         elif hasattr(image, "name"):
             pil_images.append(Image.open(image.name).convert("RGB"))
-    elif prev_output:
-        pil_images.append(prev_output.convert("RGB"))
+    # elif prev_output:
+    #     pil_images.append(prev_output.convert("RGB"))
 
     if len(pil_images) == 0:
         raise gr.Error("Please upload an image first.")