info2

app.py

@@ -5,9 +5,6 @@ import time
 import math
 import gradio as gr
 
-
-processing_time = ''
-
 def find_signature_bounding_boxes(image):
     # Start measuring time
     start_time = time.time()
@@ -69,9 +66,9 @@ def find_signature_bounding_boxes(image):
     # End measuring time
     end_time = time.time()
     print(f"Function took {end_time - start_time:.2f} seconds to process the image.")
-    processing_time = f"Detection took {end_time - start_time:.2f} seconds. "
+    info = f"Detection took {end_time - start_time:.2f} seconds. "
 
-    return possible_signatures
+    return possible_signatures, info
 
 def merge_nearby_rectangles(rectangles, nearness):
     def is_near(rect1, rect2):
@@ -121,14 +118,14 @@ def run_detection(input_image):
     image = np.asarray(input_image.convert("RGB"))
 
     # Find bounding boxes of possible signatures on the document
-    signatures = find_signature_bounding_boxes(image)
+    signatures, info = find_signature_bounding_boxes(image)
     print('Nr of signatures found: ' + str(len(signatures)))
     # Draw bounding boxes on the image
     for (x, y, w, h) in signatures:
         cv2.rectangle(image, (x, y), (x+w, y+h), (0, 255, 0), 2)
     image_with_box = Image.fromarray(cv2.cvtColor(image, cv2.COLOR_BGR2RGB))
     
-    info = processing_time + 'Nr of signatures found: ' + str(len(signatures))
+    info = info + 'Nr of signatures found: ' + str(len(signatures))
     return image_with_box, info
 
 if __name__ == "__main__":