PDF2Audio: تحويل المستندات إلى محتوى صوتي تفاعلي باستخدام الذكاء الاصطناعي

PDF2Audio, a powerful tool available on GitHub under the Apache-2.0 license, allows users to convert PDF documents into various audio formats, including podcasts, lectures, and summaries. Leveraging OpenAI’s GPT models for text generation and text-to-speech conversion, this project provides a flexible and customizable solution for creating accessible and engaging audio content from written materials. The tool’s iterative approach, allowing users to edit transcripts and provide specific feedback, sets it apart from simpler text-to-speech converters.

Key Features and Functionality

• PDF Upload and Processing: The core functionality allows users to upload one or more PDF files for conversion.

  • Supports processing multiple PDF files at once.

• Instruction Templates: Offers pre-defined instruction templates to guide the AI model in generating the desired audio output.

  • Templates include options for podcast, lecture, summary, and other formats.
  • Users can customize these templates to further refine the output.

• Customizable AI Models and Voices: Provides options for customizing the text generation and audio models used in the conversion process.

  • Allows selection of different voices for speakers in the audio.

• Iterative Refinement: Empowers users to edit the draft transcript and provide specific or general comments to improve the generated audio.

  • Supports multiple iterations of editing and feedback.
  • Enables precise control over the final audio output.

Installation and Usage

The project provides clear instructions for both local installation and usage within Google Colab.

• Local Installation (using Conda):

  • Clone the repository from GitHub: git clone https://github.com/lamm-mit/PDF2Audio.git
  • Create a Conda environment: conda create -n pdf2audio python=3.9
  • Activate the environment: conda activate pdf2audio
  • Install dependencies: pip install -r requirements.txt
  • Set up OpenAI API key in a .env file.
  • Run the application: python app.py
  • Access the Gradio interface in a web browser.

• Usage:

  • Upload PDF files through the Gradio interface.
  • Select an instruction template or customize instructions.
  • Click “Generate Audio” to create the audio content.
  • The converted audio is then available for listening or download.

Underlying Technology and Credits

PDF2Audio builds upon the work of other projects in the field of document-to-audio conversion and scientific discovery automation.

• Credits: The project acknowledges inspiration and code from pdf-to-podcast and promptic repositories.
• Related Research: The project references scientific papers on “SciAgents: Automating scientific discovery through multi-agent intelligent graph reasoning” and “Accelerating Scientific Discovery with Generative Knowledge Extraction, Graph-Based Representation, and Multimodal Intelligent Graph Reasoning,” highlighting the use of AI in scientific applications.

Access via Hugging Face Spaces

The project is also accessible through Hugging Face Spaces, providing a convenient way to try out the application without local installation.

PDF2Audio offers a compelling solution for transforming textual documents into accessible and engaging audio content. Its flexible customization options, iterative refinement capabilities, and integration with OpenAI’s powerful AI models make it a valuable tool for educators, content creators, and anyone looking to make information more accessible. The open-source nature of the project encourages community contributions and further development, promising even more advanced features and capabilities in the future.

Source: lamm-mit