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| title: PaperCast | |
| emoji: 🎧 | |
| colorFrom: indigo | |
| colorTo: blue | |
| sdk: gradio | |
| sdk_version: 6.22.0 | |
| app_file: app.py | |
| pinned: false | |
| python_version: "3.11" | |
| # Papercast | |
| Papercast converts scientific papers into structured summaries and listenable audio explanations using multimodal document parsing, scientific summarization, and neural text-to-speech. | |
| ## Current features | |
| - PDF and arXiv paper ingestion | |
| - Standard Docling and Granite-Docling document processing | |
| - Extractive and PEGASUS-X summarization | |
| - Technical narration preparation | |
| - Neural text-to-speech output | |
| ## Limitations | |
| - Large transformer models may be slow on CPU hardware | |
| - Equation narration is currently approximate | |
| - Complex papers may require processing in smaller page ranges | |