From 55b1c77ff87bb45c9a22111772e2e99b2c950c0f Mon Sep 17 00:00:00 2001
From: "github-actions[bot]"
 <41898282+github-actions[bot]@users.noreply.github.com>
Date: Thu, 27 Mar 2025 14:37:06 +0000
Subject: [PATCH] ci: automatic Python Formatter changes

---
 senju/image_reco.py | 22 +++++++++++-----------
 1 file changed, 11 insertions(+), 11 deletions(-)

diff --git a/senju/image_reco.py b/senju/image_reco.py
index e0f4b30..e4f45c9 100644
--- a/senju/image_reco.py
+++ b/senju/image_reco.py
@@ -2,12 +2,12 @@
 Senju Image Recognition Module
 =============================
 
-A module providing image description generation capabilities for the Senju 
+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 
+textual descriptions of uploaded images. These descriptions can then be
 used as input
 for the haiku generation process, enabling image-to-haiku functionality.
 
@@ -46,12 +46,12 @@ from transformers import BlipProcessor, BlipForConditionalGeneration
 
 class ImageDescriptionGenerator:
     """
-    A class for generating textual descriptions of images using 
+    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 
+    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
@@ -80,15 +80,15 @@ 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 
+        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 
+        :return: Dictionary containing the generated description and
                  confidence score
         :rtype: dict
         """
@@ -127,12 +127,12 @@ 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 
+    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 
+    :return: Dictionary containing the image description and
              confidence information
     :rtype: dict
     :raises Exception: If image processing or description generation fails