

Open NotebookLM
Overview :
Open NotebookLM is a tool that utilizes open-source language models and text-to-speech models to process PDF content, generating natural dialogues for audio podcasts and outputting them as MP3 files. The project is inspired by the NotebookLM tool and achieves its functionality through the use of large open-source language models (LLMs) and text-to-speech technology. It not only enhances the accessibility of information but also offers content creators a new medium to convert written content into audio format, expanding their audience reach.
Target Users :
The target audience includes podcast producers, content creators, educators, and anyone looking to share written content in audio form. This tool is particularly well-suited for individuals or organizations seeking innovative ways to disseminate knowledge and information.
Use Cases
Podcast producers use Open NotebookLM to turn their scripts into podcast episodes.
Educators convert teaching materials into podcasts for students to review at any time.
Authors transform their book content into podcasts to reach a wider audience.
Features
Convert PDF to podcast dialogues: Upload PDF files and convert their content into podcast dialogues.
Engaging dialogues: The generated dialogues are designed to be informative and entertaining.
User-friendly interface: A simple and easy-to-use interface created with Gradio.
API key setup: Utilizes the Fireworks API with the LLama 3.1 405B model, requiring an API key.
One-click audio generation: Start the conversion process with a click of a button, outputting an MP3 file containing the podcast dialogues.
Open-source license: The project is licensed under Apache 2.0, with the code openly available.
Continuous updates: The project is regularly updated to adapt to the latest technological developments and user needs.
How to Use
Clone the repository: Use git commands to clone the project locally.
Create and activate a virtual environment: Use Python commands to create and activate a virtual environment.
Install required packages: Use pip commands to install the dependencies listed in requirements.txt.
Set up the API key: Configure the environment variable FIREWORKS_API_KEY according to the project instructions.
Run the application: Execute the python command to run app.py and launch the Gradio interface.
Upload PDF: Use the Gradio interface to upload the PDF document you wish to convert.
Generate audio: Click the convert button, wait for the process to complete, and download the generated MP3 file.
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