NVIDIA PDF to Podcast: AI Tool for Converting PDF to Podcast by Setting Guiding Prompts

General Introduction

NVIDIA AI Blueprint: PDF to Podcast is an open source project developed by NVIDIA to convert PDF documents into engaging audio content. The project utilizes NVIDIA NIM (NVIDIA Inference Microservices) technology that can run securely on private networks, providing actionable insights without sharing sensitive data. Users can specify a target PDF as the primary source of information and optionally add multiple contextual PDFs as references. The tool also allows users to provide guided prompts so that the generated audio content is more focused on specific topics.

Function List

• PDF document conversion: Convert PDF documents to audio content for easy listening on the go.
• Multi-PDF Support: Multiple contextual PDFs are supported to enhance the referencing and accuracy of audio content.
• Introductory Tips: Users can provide guiding cues to bring the generated audio content into sharper focus.
• Private network operation: Operate securely on private networks to protect user data privacy.
• Flexible Configuration: Supports a wide range of configuration options, adapting to different business needs and infrastructures.
• Docker Support: Provides Docker Compose scripts to simplify the deployment and management of microservices.

Using Help

Installation process

1. cloning project: Run the following command in the terminal to clone the project code:

   git clone https://github.com/NVIDIA-AI-Blueprints/pdf-to-podcast.git

2. Go to the project directory: Navigate to the project directory:

   cd pdf-to-podcast

3. Installation of dependencies: Run the following command to install the required dependencies for the project:

   pip install -r requirements.txt

4. Configuring Environment Variables: Edit as necessaryvariables.envfile to configure the relevant environment variables.
5. Starting services: Start all microservices using Docker Compose:

   docker-compose up

Usage Process

1. Upload PDF: Access the front-end interface provided by the project to upload target PDFs and contextual PDFs.
2. Setting up a guide prompt: When uploading PDFs, you can selectively provide guided prompts to bring the generated audio content into focus.
3. Generate Audio: Click the Generate button and the system will automatically process the PDF and generate the audio content.
4. Download Audio: The generated audio content will be provided with a download link so that users can download and listen to it.

Detailed Function Operation

• PDF document conversion: After the user uploads a PDF document, the system automatically parses the document content and converts it to audio using NVIDIA NIM technology.
• Multi-PDF Support: Users can upload multiple contextual PDFs, which the system will use as references to enhance the accuracy of the generated audio.
• Introductory Tips: When uploading PDFs, users can provide guided prompts, such as "Focus on NVIDIA's Q3 Key Drivers," and the system will generate more targeted audio content based on the prompts.
• Private network operation: The tool can run on a private network, ensuring the security and privacy of user data.
• Flexible Configuration: Users can flexibly configure system parameters, such as selecting different NIM models and disabling GPU usage, according to their business needs and infrastructure.
• Docker Support: The project provides Docker Compose scripts that allow users to easily start and manage all microservices, simplifying the deployment process.