|
--- |
|
title: Pdf2audio |
|
emoji: 📚 |
|
colorFrom: yellow |
|
colorTo: pink |
|
sdk: gradio |
|
sdk_version: 4.44.0 |
|
app_file: app.py |
|
pinned: false |
|
license: apache-2.0 |
|
--- |
|
|
|
# PDF to Audio Converter |
|
|
|
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. |
|
|
|
## Features |
|
|
|
- Upload multiple PDF files |
|
- Choose from different instruction templates (podcast, lecture, summary, etc.) |
|
- Customize text generation and audio models |
|
- Select different voices for speakers |
|
|
|
## How to Use |
|
|
|
1. Upload one or more PDF files |
|
2. Select the desired instruction template |
|
3. Customize the instructions if needed |
|
4. Click "Generate Audio" to create your audio content |
|
|
|
## Note |
|
|
|
This app requires an OpenAI API key to function. |
|
|
|
## Credits |
|
|
|
This project was inspired by and based on the code available at [PDF to Podcast](https://github.com/knowsuchagency/pdf-to-podcast) and [Promptic](https://github.com/knowsuchagency/promptic). |
|
|
|
```bibtex |
|
@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, |
|
author={Markus J. Buehler}, |
|
title={Accelerating Scientific Discovery with Generative Knowledge Extraction, Graph-Based Representation, and Multimodal Intelligent Graph Reasoning}, |
|
journal={Machine Learning: Science and Technology}, |
|
year={2024}, |
|
url={http://iopscience.iop.org/article/10.1088/2632-2153/ad7228}, |
|
} |
|
``` |
|
|
|
|
