add fancy.css

app.py

@@ -4,11 +4,15 @@ from typing import List
 import gradio as gr
 from PyPDF2 import PdfReader, PdfWriter
 
+# Load custom CSS
+with open(os.path.join(os.path.dirname(__file__), "fancy.css")) as f:
+    custom_css = f.read()
+
 # Maximum upload size
 MAX_SIZE_BYTES = 1 * 1024 * 1024 * 1024  # 1 GB
 
 # Note: Uploaded PDFs are processed in-memory and not stored on the server.
-# This is a free and quick solution for splitting PDFs without any external storage.
+# This is a quick solution for splitting PDFs without any external storage.
 
 def parse_page_ranges(ranges: str, num_pages: int) -> List[int]:
     """
@@ -28,7 +32,6 @@ def parse_page_ranges(ranges: str, num_pages: int) -> List[int]:
                 pages.add(p - 1)
     return sorted(pages)
 
-
 def split_pdf(file, page_ranges: str):
     # Validate file size
     file_size = os.path.getsize(file.name)
@@ -56,13 +59,9 @@ def split_pdf(file, page_ranges: str):
     return out_path, None
 
 # Build Gradio interface
-with gr.Blocks(css="""
-    #header {text-align: center; margin-bottom: 20px;}
-    .input-row {display: flex; gap: 10px; margin-bottom: 20px;}
-    .button-row {text-align: center; margin-top: 20px;}
-""") as demo:
+with gr.Blocks(css=custom_css) as demo:
     # Header
-    gr.HTML("<h1 id='header'>📄 PDF Splitter</h1>")
+    gr.HTML("<h1 id='header'>PDF Splitter</h1>")
     gr.Markdown("**Free & Quick Solution**: Uploaded PDFs are processed but not stored. Ideal for lazy splitting without installing anything.")
     gr.Markdown("Upload a PDF (up to 1 GB) and extract specific pages using ranges like `1-3,5,7-9`.")
 
@@ -84,10 +83,12 @@ with gr.Blocks(css="""
             return None, error, True
         return out_path, "", False
 
-    split_button.click(fn=run_split,
-                       inputs=[pdf_input, page_input],
-                       outputs=[output_file, error_text, error_text],
-                       api_name="split_pdf")
+    split_button.click(
+        fn=run_split,
+        inputs=[pdf_input, page_input],
+        outputs=[output_file, error_text, error_text],
+        api_name="split_pdf"
+    )
 
     # Hide error box when no error
     error_text.change(lambda msg: msg != "", inputs=error_text, outputs=error_text)