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--- |
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title: Pdf2audio |
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emoji: 📚 |
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colorFrom: yellow |
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colorTo: pink |
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sdk: gradio |
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sdk_version: 4.44.0 |
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app_file: app.py |
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pinned: false |
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license: apache-2.0 |
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--- |
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# PDF to Audio Converter |
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This Gradio app converts PDFs into audio podcasts, lectures, summaries, and more. It uses OpenAI's GPT models for text generation and text-to-speech conversion. |
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## Features |
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- Upload multiple PDF files |
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- Choose from different instruction templates (podcast, lecture, summary, etc.) |
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- Customize text generation and audio models |
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- Select different voices for speakers |
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## How to Use |
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1. Upload one or more PDF files |
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2. Select the desired instruction template |
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3. Customize the instructions if needed |
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4. Click "Generate Audio" to create your audio content |
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## Example |
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<audio controls> |
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<source src="https://raw.githubusercontent.com/lamm-mit/PDF2Audio/main/SciAgents%20discovery%20summary%20-%20example.mp3" type="audio/mpeg"> |
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Your browser does not support the audio element. |
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</audio> |
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## Note |
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This app requires an OpenAI API key to function. |
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## Credits |
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This project was inspired by and based on the code available at [https://github.com/knowsuchagency/pdf-to-podcast](https://github.com/knowsuchagency/pdf-to-podcast) and [https://github.com/knowsuchagency/promptic](https://github.com/knowsuchagency/promptic). |
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GitHub repo: [lamm-mit/PDF2Audio](https://github.com/lamm-mit/PDF2Audio) |
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```bibtex |
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@article{ghafarollahi2024sciagentsautomatingscientificdiscovery, |
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title={SciAgents: Automating scientific discovery through multi-agent intelligent graph reasoning}, |
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author={Alireza Ghafarollahi and Markus J. Buehler}, |
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year={2024}, |
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eprint={2409.05556}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.AI}, |
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url={https://arxiv.org/abs/2409.05556}, |
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} |
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@article{buehler2024graphreasoning, |
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title={Accelerating Scientific Discovery with Generative Knowledge Extraction, Graph-Based Representation, and Multimodal Intelligent Graph Reasoning}, |
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author={Markus J. Buehler}, |
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journal={Machine Learning: Science and Technology}, |
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year={2024}, |
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url={http://iopscience.iop.org/article/10.1088/2632-2153/ad7228}, |
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} |
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``` |
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