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--- |
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title: PDF-Paper-Maker-AI-UI-UX |
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emoji: ✍️🖼️📄⬇️ |
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colorFrom: green |
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colorTo: green |
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sdk: streamlit |
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sdk_version: 1.44.1 |
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app_file: app.py |
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pinned: false |
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license: mit |
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short_description: PDF & Papers AI UI-UX-KE Patterns |
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--- |
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# Guide PDF Generator App 🌟✨ |
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## Top New Features 🎉🚀 |
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1. **Dynamic Markdown Selection** 📜✨ - Pick any .md file from your directory (except this one!) with a slick dropdown! |
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2. **Emoji-Powered Content** 😊🌈 - Render your myths with vibrant emojis in PDFs using fonts like NotoColorEmoji! |
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3. **Custom Column Layouts** 🗂️⚡ - Choose 1 to 6 columns to style your divine tales just right! |
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4. **Editable Text Box** ✍️📝 - Tweak markdown live and watch it update across selections and settings! |
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5. **Font Size Slider** 🔍📏 - Scale text from tiny (6pt) to epic (16pt) for perfect readability! |
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6. **Auto-Bold Numbers** ✅💪 - Make numbered lines pop with bold formatting on demand! |
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7. **Plain Text Mode** 📋🖋️ - Strip fancy formatting or keep bold for a clean, classic look! |
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8. **PDF Preview & Download** 📄⬇️ - See your creation in-app and grab it as a PDF with one click! |
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9. **Multi-Font Support** 🖼️🎨 - Pair emoji fonts with DejaVuSans for seamless text and symbol rendering! |
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10. **Session Persistence** 💾🌌 - Your edits stick around, syncing with every change you make! |
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# On your PDF Journey, |
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Please enjoy these PDF input sources so that you may grow in knowledge and understanding. |
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All life is part of a complete circle. |
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Focus on well being and prosperity for all - universal well being and peace. |
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1. Arxive.Org PDFs - world's largest collection of book scans https://archive.org/ |
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2. Arxiv.org - world's largest most modern source of science papers |
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1. Physics |
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2. Math |
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3. Computer Science |
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4. Quantitative Biology |
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5. Quantitative Finance |
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6. Statistics |
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7. Electrical Engineering and Systems Science |
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8. Economics |
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3. Datasets on PDFs, Book Knowledge, and Exams, PDF Document Analysis |
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1. https://huggingface.co/datasets/cais/hle |
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2. https://huggingface.co/datasets?search=pdf |
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3. https://huggingface.co/datasets/JohnLyu/cc_main_2024_51_links_pdf_url |
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4. https://huggingface.co/datasets/mlfoundations/MINT-1T-PDF-CC-2024-10 |
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5. https://huggingface.co/datasets/ranWang/un_pdf_data_urls_set |
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6. https://huggingface.co/datasets/Wikit/pdf-parsing-bench-results |
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7. https://huggingface.co/datasets/pixparse/pdfa-eng-wds |
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4. PDF Models |
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1. https://huggingface.co/fbellame/llama2-pdf-to-quizz-13b |
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2. https://huggingface.co/HURIDOCS/pdf-document-layout-analysis |
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3. https://huggingface.co/matterattetatte/pdf-extractor-tool |
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4. https://huggingface.co/HURIDOCS/pdf-document-layout-analysis |
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5. https://huggingface.co/opendatalab/PDF-Extract-Kit |
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6. https://huggingface.co/opendatalab/PDF-Extract-Kit-1.0 |
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7. https://huggingface.co/fbellame/llama2-pdf-to-quizz-13b |
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8. https://huggingface.co/vikp/pdf_postprocessor_t5 |
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9. https://huggingface.co/Niggendar/pdForAnime_v20 https://huggingface.co/spaces/charliebaby2023/prevynt |
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