Update app.py

app.py

@@ -570,8 +570,9 @@ def rectify_image(distorted_image):
 # --- Gradio Interface ---
 
 DESCRIPTION = """
-#  DocScanner: Document Image Rectification
-This Space demonstrates DocScanner, a deep learning model that automatically corrects geometric distortions in document images. 
+
+This Space demonstrates DocScanner, a deep learning model that automatically corrects geometric distortions in document images.
+
 If you have a photo of a document that is warped, skewed, or has curled edges, this tool can transform it into a flat, 
 top-down, scanner-like image.
 
@@ -584,7 +585,7 @@ This application is an implementation of the research paper: DocScanner: Robust
 2. Submit: Click the "Submit" button to begin the rectification process.
 3. View the Result: The corrected, flattened document will appear in the output box on the right.
 
-#Technical Details
+# Technical Details
 
 * Model: This demo uses the DocScanner-L model, as described in the paper.
 * Technology: The application is built with Python, PyTorch, and the Gradio library.
@@ -596,7 +597,7 @@ if __name__ == "__main__":
         fn=rectify_image,
         inputs=gr.Image(type="numpy", label="Upload Distorted Document"),
         outputs=gr.Image(type="numpy", label="Rectified Document"),
-        title="DocScanner Document Rectification",
+        title="DocScanner: Document Image Rectification",
         description=DESCRIPTION,
         examples=[
             ['distorted/27_2 copy.png'],