Update README.md

README.md

@@ -9,62 +9,5 @@ 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
-
-## Use in Colab
-
-[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/lamm-mit/PDF2Audio/blob/main/PDF2Audio.ipynb)
-
-## Audio Example
-
-<audio controls>
-  <source src="https://raw.githubusercontent.com/lamm-mit/PDF2Audio/main/SciAgents%20discovery%20summary%20-%20example.mp3" type="audio/mpeg">
-  Your browser does not support the audio element.
-</audio>
-
-## 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). 
-
-GitHub repo: [lamm-mit/PDF2Audio](https://github.com/lamm-mit/PDF2Audio)
-
-```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},
-}
-```
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