PodNote

PodNote is a tool for transcribing podcast audio files, summarizing text with NLP, and generating HTML reports. It detects key quotes, filler words (but doesn’t remove them yet), and creates a merged summary with quotes and instructions. This tool is lightweight, runs well on laptops without a GPU, and offers optional GPU/LLM integration for advanced users.

Use Case

• Transcribes audio and summarizes text with NLP.
• Detects key quotes from the transcription.
• Creates a simple HTML report to review both text and audio together.
• Detects filler words (but doesn’t remove them—yet).
• Generates a merged summary with quotes and instructions, which can be easily copied into GenAI tools for a coherent summary. This has been particularly useful for generating efficient summaries.

Under construction:

• Performs semantic tiling: For better text segmentation.
• Local LLM Support: For more advanced processing

The tool uses basic AI models that run effectively on a laptop without a GPU. My vision is to keep it accessible for everyone, while also adding optional GPU/LLM integration for those who need more power (Under Construction). In the future, users will be able to easily create operational prompts for external GenAI tools with just a few clicks.

Features

• Converts podcast audio files (e.g., MP3, WAV) to text using Whisper
• Organizes the transcription into a structured HTML format for easy use and review.
• Includes functionality for logging, progress tracking, and error handling.
• Simple and easy-to-use command-line interface.

Requirements

Before running the script, install the required Python libraries:

1. Clone the repository:

   git clone https://github.com/imanmossavat/PodNote.git

2. Install the required dependencies:

   pip install torchaudio torch spacy whisper webbrowser sumy nltk transformers

   or

   pip install -r requirements.txt

Usage

To convert an audio file (e.g., podcast episode) into an HTML file, run the following command:

python experiments/script.py path_to_audio_file

Replace path_to_audio_file with the path to your audio file.

Collaboration

We are actively looking for collaboration! If you’re interested in contributing to PodNote, whether it’s improving functionality, adding new features, or providing feedback, feel free to get in touch.

• Open Issues: You can open issues directly on this repository if you have suggestions, feature requests, or encounter any bugs.
• Pull Requests: If you want to contribute code, please fork the repository and submit a pull request. For more information, visit Deep Dive Podcast.

Looking forward to collaborating with you!

License

This project is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License. See the LICENSE file for details.