Update app.py

app.py

@@ -4,7 +4,7 @@ import numpy as np
 from PIL import Image
 
 # 1. Load your trained YOLO26n-seg model
-# The system looks for 'best.pt' in the same directory
+# The system looks for 'comic-panels-and-text-detect.pt' in the same directory
 try:
     model = YOLO("comic-panels-and-text-detect.pt")
 except Exception as e:
@@ -67,7 +67,7 @@ with gr.Blocks(theme=theme, title="ComicPanelsAndTextDetect") as demo:
         """
         # 🚀 ComicPanelsAndTextDetect
         This interactive application showcases the core computer vision segmentation pipeline powering the **ebookcc** ecosystem. 
-        Utilizing a specialized, fine-tuned **YOLO11m-seg** engine, it delivers high-fidelity layout analysis for Manga, Manhwa, Comics, and scanned books.
+        Utilizing a specialized, fine-tuned **YOLO26n-seg** engine, it delivers high-fidelity layout analysis for Manga, Manhwa, Comics, and scanned books.
         """
     )
     
@@ -79,7 +79,7 @@ with gr.Blocks(theme=theme, title="ComicPanelsAndTextDetect") as demo:
             
         with gr.Column():
             gr.Markdown("### 📤 Segmentation Output")
-            output_img = gr.Image(type="pil", label="YOLO11m-seg Visual Overlay")
+            output_img = gr.Image(type="pil", label="YOLO26n-seg Visual Overlay")
             status_output = gr.Textbox(label="Execution Summary Logs", interactive=False)
 
     # Bind click trigger to engine handler