Update app.py

edited gaussian_blur docstring

app.py

@@ -10,24 +10,27 @@ from Gradio_UI import GradioUI
 
 # Below is an example of a tool that does nothing. Amaze us with your creativity !
 @tool
-def gaussian_blur(image_path: str, output_path: str, kernel_size: int = 5, sigma: int = 0) -> str:
+def gaussian_blur(image_path: str, output_path: str, kernel_size: int, sigma: int) -> str:
     """
-    Applies Gaussian blur to an image.
-    
+    Applies Gaussian blur to an image and saves the output.
+
+    This function reads an image, applies a Gaussian blur with the given 
+    kernel size and sigma, and saves the processed image to the output path.
+
     Args:
-        image_path (str): Path to the input image.
-        output_path (str): Path to save the blurred image.
-        kernel_size (int): Size of the Gaussian kernel (default is 5).
-        sigma (int): Standard deviation for Gaussian kernel (default is 0, which lets OpenCV decide).
-    
+        image_path (str): The file path of the input image.
+        output_path (str): The file path where the blurred image will be saved.
+        kernel_size (int): The size of the Gaussian blur kernel (must be an odd number).
+        sigma (int): The standard deviation for the Gaussian kernel.
+
     Returns:
-        str: Path to the blurred image.
+        str: The path to the saved blurred image.
     """
     image = cv2.imread(image_path)
     if image is None:
         raise ValueError(f"Could not load image from {image_path}")
 
-    # Ensure kernel_size is an odd number
+    # Ensure kernel_size is an odd number (OpenCV requires it)
     if kernel_size % 2 == 0:
         kernel_size += 1