From ef2277ec4e64ccd19f6a2a092850d4503882ff7a Mon Sep 17 00:00:00 2001
From: John <43506685+Coniferish@users.noreply.github.com>
Date: Thu, 12 Sep 2024 22:13:49 -0400
Subject: [PATCH] linting fix 2

---
 unstructured_inference/inference/layout.py | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/unstructured_inference/inference/layout.py b/unstructured_inference/inference/layout.py
index 944f2548..f6c0a8cc 100644
--- a/unstructured_inference/inference/layout.py
+++ b/unstructured_inference/inference/layout.py
@@ -98,7 +98,7 @@ def from_image_file(
         try:
             image = Image.open(filename)
             format = image.format
-            images = []
+            images: list[Image.Image]= []
             for i, im in enumerate(ImageSequence.Iterator(image)):
                 im = im.convert("RGB")
                 im.format = format
@@ -143,7 +143,7 @@ def __init__(
             image_metadata = {}
         self.image_metadata = image_metadata
         self.image_path = image_path
-        self.image_array: Union[np.ndarray, None] = None
+        self.image_array: Union[np.ndarray[Any, Any], None] = None
         self.document_filename = document_filename
         self.number = number
         self.detection_model = detection_model
@@ -198,7 +198,7 @@ def get_elements_with_detection_model(
 
         return inferred_layout
 
-    def _get_image_array(self) -> Union[np.ndarray, None]:
+    def _get_image_array(self) -> Union[np.ndarray[Any, Any], None]:
         """Converts the raw image into a numpy array."""
         if self.image_array is None:
             if self.image: