Update app.py

app.py

@@ -4,7 +4,11 @@ from typing import List
 import gradio as gr
 from PyPDF2 import PdfReader, PdfWriter
 
-MAX_SIZE_BYTES = 500 * 1024 * 1024  # 500 MB
+# 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.
 
 def parse_page_ranges(ranges: str, num_pages: int) -> List[int]:
     """
@@ -29,7 +33,7 @@ def split_pdf(file, page_ranges: str):
     # Validate file size
     file_size = os.path.getsize(file.name)
     if file_size > MAX_SIZE_BYTES:
-        return None, f"File size exceeds 500 MB limit ({file_size / (1024*1024):.2f} MB)."
+        return None, f"File size exceeds 1 GB limit ({file_size / (1024*1024*1024):.2f} GB)."
 
     reader = PdfReader(file.name)
     num_pages = len(reader.pages)
@@ -59,7 +63,8 @@ with gr.Blocks(css="""
 """) as demo:
     # Header
     gr.HTML("<h1 id='header'>📄 PDF Splitter</h1>")
-    gr.Markdown("Upload a PDF (up to 500 MB) and extract specific pages using ranges like `1-3,5,7-9`.")
+    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`.")
 
     with gr.Row(elem_classes="input-row"):
         pdf_input = gr.File(label="Select PDF file", file_types=['.pdf'])
@@ -88,4 +93,4 @@ with gr.Blocks(css="""
     error_text.change(lambda msg: msg != "", inputs=error_text, outputs=error_text)
 
 if __name__ == "__main__":
-    demo.launch(server_name="0.0.0.0", server_port=int(os.environ.get("PORT", 7860)))
+    demo.launch(server_name="0.0.0.0", server_port=int(os.environ.get("PORT", 7860)))