Update README.md

README.md

@@ -1,6 +1,6 @@
 ---
-title: Deities Myth And Moral Lessons
-emoji: 🔥
+title: PDF-Paper-Maker-AI-UI-UX
+emoji: ✍️🖼️📄⬇️
 colorFrom: green
 colorTo: green
 sdk: streamlit
@@ -8,12 +8,12 @@ sdk_version: 1.44.1
 app_file: app.py
 pinned: false
 license: mit
-short_description: Deities Guide on Myth and Moral Lessons
+short_description: PDF & Papers AI UI-UX-KE Patterns
 ---
 
-# Deities Guide PDF Generator App 🌟✨
+# Guide PDF Generator App 🌟✨
 
-## Top 10 New Features Summary 🎉🚀
+## Top New Features 🎉🚀
 
 1. **Dynamic Markdown Selection** 📜✨ - Pick any .md file from your directory (except this one!) with a slick dropdown!  
 2. **Emoji-Powered Content** 😊🌈 - Render your myths with vibrant emojis in PDFs using fonts like NotoColorEmoji!  
@@ -24,4 +24,42 @@ short_description: Deities Guide on Myth and Moral Lessons
 7. **Plain Text Mode** 📋🖋️ - Strip fancy formatting or keep bold for a clean, classic look!  
 8. **PDF Preview & Download** 📄⬇️ - See your creation in-app and grab it as a PDF with one click!  
 9. **Multi-Font Support** 🖼️🎨 - Pair emoji fonts with DejaVuSans for seamless text and symbol rendering!  
-10. **Session Persistence** 💾🌌 - Your edits stick around, syncing with every change you make!
+10. **Session Persistence** 💾🌌 - Your edits stick around, syncing with every change you make!
+
+
+# On your PDF Journey, 
+
+Please enjoy these PDF input sources so that you may grow in knowledge and understanding.
+
+All life is part of a complete circle.
+
+Focus on well being and prosperity for all - universal well being and peace.
+
+1. Arxive.Org PDFs - world's largest collection of book scans https://archive.org/
+2. Arxiv.org - world's largest most modern source of science papers
+    1. Physics
+    2. Math
+    3. Computer Science
+    4. Quantitative Biology
+    5. Quantitative Finance
+    6. Statistics
+    7. Electrical Engineering and Systems Science
+    8. Economics
+3. Datasets on PDFs, Book Knowledge, and Exams, PDF Document Analysis
+    1. https://huggingface.co/datasets/cais/hle
+    2. https://huggingface.co/datasets?search=pdf
+    3. https://huggingface.co/datasets/JohnLyu/cc_main_2024_51_links_pdf_url
+    4. https://huggingface.co/datasets/mlfoundations/MINT-1T-PDF-CC-2024-10
+    5. https://huggingface.co/datasets/ranWang/un_pdf_data_urls_set
+    6. https://huggingface.co/datasets/Wikit/pdf-parsing-bench-results
+    7. https://huggingface.co/datasets/pixparse/pdfa-eng-wds
+4. PDF Models
+    1. https://huggingface.co/fbellame/llama2-pdf-to-quizz-13b
+    2. https://huggingface.co/HURIDOCS/pdf-document-layout-analysis
+    3. https://huggingface.co/matterattetatte/pdf-extractor-tool
+    4. https://huggingface.co/HURIDOCS/pdf-document-layout-analysis
+    5. https://huggingface.co/opendatalab/PDF-Extract-Kit
+    6. https://huggingface.co/opendatalab/PDF-Extract-Kit-1.0
+    7. https://huggingface.co/fbellame/llama2-pdf-to-quizz-13b
+    8. https://huggingface.co/vikp/pdf_postprocessor_t5
+    9. https://huggingface.co/Niggendar/pdForAnime_v20  https://huggingface.co/spaces/charliebaby2023/prevynt