| --- |
| 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 [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). |
|
|
| ```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, |
| 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}, |
| } |
| ``` |
|
|
|
|
