diff --git a/senju/image_reco.py b/senju/image_reco.py
index 272e985..e0f4b30 100644
--- a/senju/image_reco.py
+++ b/senju/image_reco.py
@@ -2,10 +2,13 @@
 Senju Image Recognition Module
 =============================
 
-A module providing image description generation capabilities for the Senju haiku application.
+A module providing image description generation capabilities for the Senju 
+haiku application.
 
-This module leverages pre-trained vision-language models (specifically BLIP) to generate
-textual descriptions of uploaded images. These descriptions can then be used as input
+This module leverages pre-trained vision-language models (specifically BLIP)
+to generate
+textual descriptions of uploaded images. These descriptions can then be 
+used as input
 for the haiku generation process, enabling image-to-haiku functionality.
 
 Classes
@@ -43,11 +46,13 @@ from transformers import BlipProcessor, BlipForConditionalGeneration
 
 class ImageDescriptionGenerator:
     """
-    A class for generating textual descriptions of images using a vision-language model.
+    A class for generating textual descriptions of images using 
+    a vision-language model.
 
-    This class handles the loading of a pre-trained BLIP model, image preprocessing,
-    and caption generation. It provides an interface for converting raw image data
-    into natural language descriptions that can be used for haiku inspiration.
+    This class handles the loading of a pre-trained BLIP model, image 
+    preprocessing, and caption generation. It provides an interface for 
+    converting raw image data into natural language descriptions that can 
+    be used for haiku inspiration.
 
     :ivar processor: The BLIP processor for handling image inputs
     :type processor: BlipProcessor
@@ -75,14 +80,16 @@ class ImageDescriptionGenerator:
         """
         Generate a descriptive caption for the given image.
 
-        This method processes the raw image data, runs inference with the BLIP model,
-        and returns a structured response with the generated description.
+        This method processes the raw image data, runs inference with 
+        the BLIP model, and returns a structured response with the 
+        generated description.
 
         :param image_data: Raw binary image data
         :type image_data: bytes
         :param max_length: Maximum token length for the generated caption
         :type max_length: int
-        :return: Dictionary containing the generated description and confidence score
+        :return: Dictionary containing the generated description and 
+                 confidence score
         :rtype: dict
         """
         # Convert uploaded bytes to image
@@ -120,12 +127,13 @@ def gen_response(image_data) -> dict:
     """
     Generate a description for an image using the global description generator.
 
-    This function provides a simplified interface to the image description functionality
-    for use in API endpoints.
+    This function provides a simplified interface to the image 
+    description functionality for use in API endpoints.
 
     :param image_data: Raw binary image data
     :type image_data: bytes
-    :return: Dictionary containing the image description and confidence information
+    :return: Dictionary containing the image description and 
+             confidence information
     :rtype: dict
     :raises Exception: If image processing or description generation fails
     """