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| title: Multi-Input Academic Summarizer |
| emoji: 📚 |
| colorFrom: blue |
| colorTo: red |
| sdk: gradio |
| sdk_version: 5.31.0 |
| app_file: app.py |
| pinned: false |
| license: mit |
| short_description: NLP Course Final Project |
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| > 🔍 Final Project for our NLP course — explore it, test it, break it. Feedback welcome! |
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| # 🎓 Multi-Input Academic Summarizer |
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| An intelligent summarization assistant that handles everything from academic PDFs and DOCX files to transcribed audio and pasted text. |
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| ## ✨ Features |
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| - 📂 Input from **Text**, **PDF**, **DOCX**, **Audio**, and **YouTube** |
| - 🗣️ Multilingual output: **English**, **Arabic**, or **Both** |
| - 🎭 Tones: **Gen Z**, **Professional**, or **Balanced** |
| - 🤖 Powered by **Gemini 2.0 & 2.5** with fallback & tuning |
| - 📄 Choose output format: **TXT**, **DOCX**, **PDF** |
| - 🧠 Built-in **summary quality evaluation** using Gemini |
| - 🧭 Automatically handles **Various formatting types** in documents |
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| ## 🚀 Try It Out |
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| [👉 Launch the App](https://huggingface.co/spaces/Nid4l/Multi-Input_Academic_Summarizer) |
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| > 🤖 Warning: YouTube input is currently disabled on Spaces due to hosting limitations. |
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| --- |
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| ## 📁 Tech Stack |
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| - **Gradio** UI |
| - **Google Generative AI (Gemini Flash)** |
| - **FasterWhisper** for transcription |
| - **PDFPlumber**, **python-docx**, **ReportLab** |
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| ## 👨💻 Team Members |
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| - Abdelrahman Alsheyyab |
| - Mohammad Alkhasawneh |
| - Nidal Shahin |
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| --- |
|
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| ## 📜 License |
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| MIT — free to use and remix with credit. |
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| --- |
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| 🔗 [Hugging Face Docs for Space Config](https://huggingface.co/docs/hub/spaces-config-reference) |
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