Update app.py

app.py

@@ -2,7 +2,7 @@ import gradio as gr
 from helpers import OCRD
 
 
-def run_ocrd_pipeline(img_path, font_size=30, binarize_mode='detailed', min_pixel_sum=30, median_bounds=(None, None), status=gr.Progress()):
+def run_ocrd_pipeline(img_path, font_size='small', binarize_mode='detailed', min_pixel_sum=30, median_bounds=(None, None), status=gr.Progress()):
     """
     Executes the OCRD pipeline on an image from file loading to text overlay creation. This function orchestrates
     the calling of various OCRD class methods to process the image, extract and recognize text, and then overlay
@@ -14,9 +14,9 @@ def run_ocrd_pipeline(img_path, font_size=30, binarize_mode='detailed', min_pixe
             If set to 'adjusted', the font size is dynamically adjusted to fit the text within its bounding box width.
         binarize_mode (str): Mode to be used for image binarization. Can be 'detailed', 'fast', or 'no'.
         min_pixel_sum (int, optional): Minimum sum of pixels to consider a text line segmentation for extraction. 
-            If 'default', default values are applied.
+            If 'default', the default value (see function definition) is applied. Set to None for no filtering.
         median_bounds (tuple, optional): Bounds to filter text line segmentations based on size relative to the median. 
-            If 'default', default values are applied.
+            If 'default', default values (see function definition) are applied. Set to None for no filtering.
 
     Returns:
         Image: An image with overlay text, where text is extracted and recognized from the original image.