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.
This app requires an OpenAI API key to function.
This project was inspired by and based on the code available at https://github.com/knowsuchagency/pdf-to-podcast and https://github.com/knowsuchagency/promptic.
GitHub repo: lamm-mit/PDF2Audio
@article{ghafarollahi2024sciagentsautomatingscientificdiscovery,
title={SciAgents: Automating scientific discovery through multi-agent intelligent graph reasoning},
author={Alireza Ghafarollahi and Markus J. Buehler},
year={2024},
eprint={2409.05556},
archivePrefix={arXiv},
primaryClass={cs.AI},
url={https://arxiv.org/abs/2409.05556},
}
@article{buehler2024graphreasoning,
title={Accelerating Scientific Discovery with Generative Knowledge Extraction, Graph-Based Representation, and Multimodal Intelligent Graph Reasoning},
author={Markus J. Buehler},
journal={Machine Learning: Science and Technology},
year={2024},
url={http://iopscience.iop.org/article/10.1088/2632-2153/ad7228},
}
78 commits
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.
This app requires an OpenAI API key to function.
This project was inspired by and based on the code available at https://github.com/knowsuchagency/pdf-to-podcast and https://github.com/knowsuchagency/promptic.
GitHub repo: lamm-mit/PDF2Audio
@article{ghafarollahi2024sciagentsautomatingscientificdiscovery,
title={SciAgents: Automating scientific discovery through multi-agent intelligent graph reasoning},
author={Alireza Ghafarollahi and Markus J. Buehler},
year={2024},
eprint={2409.05556},
archivePrefix={arXiv},
primaryClass={cs.AI},
url={https://arxiv.org/abs/2409.05556},
}
@article{buehler2024graphreasoning,
title={Accelerating Scientific Discovery with Generative Knowledge Extraction, Graph-Based Representation, and Multimodal Intelligent Graph Reasoning},
author={Markus J. Buehler},
journal={Machine Learning: Science and Technology},
year={2024},
url={http://iopscience.iop.org/article/10.1088/2632-2153/ad7228},
}
78 commits