The GPT Summarization App is a powerful tool designed to streamline the process of extracting and summarising content from YouTube videos. By leveraging the capabilities of OpenAI's Whisper model for accurate transcription and the GPT-3.5 API for concise summarisation, this app offers a seamless workflow for users to input a YouTube URL and receive a summarised text of the video's audio content.

• YouTube Audio Download: Automatically downloads the audio track of any YouTube video provided via URL.
• Audio Transcription: Utilises the Whisper model for state-of-the-art audio transcription, ensuring high accuracy in converting speech to text.
• Content Summarisation: Leverages the GPT-3.5 API to produce clear, concise summaries of the transcribed text, making it easy to capture the essence of the video content.

1. Clone this repo

2. Create a virtual environment with venv

   python -m venv .venv && source .venv/bin/activate && python -m pip install --upgrade pip

3. Install dependencies

   pip install -r requirements.txt

4. Install homebrew

5. Install ffmpeg with brew install ffmpeg

6. Download the spacy model:

   python -m spacy download en_core_web_sm

7. Install insanely-fast-whisper for transcriptions:

   pipx install insanely-fast-whisper --force --pip-args="--ignore-requires-python"

8. Create .env in root directory and add your OpenAI API key:

   OPENAI_API_KEY='add your OpenAI API key here' # https://platform.openai.com/account/api-keys

• Run the app from the command line, passing the YouTube URL as an argument. To download and transcribe a Youtube video, run this command:

  python -m gpt_summariser.download_and_transcribe <youtube_url>

• To download and summarise a Youtube video, run this command:

  python -m gpt_summariser.download_and_summarise <youtube_url> <title>

.
├── LICENSE
├── README.md
├── gpt_summariser
│   ├── __init__.py
│   ├── download_and_summarise.py
│   ├── download_and_transcribe.py
│   ├── download_yt_audio.py
│   ├── summarise_transcript.py
│   ├── transcribe_audio.py
│   └── utils.py
├── outputs
│   ├── audio
│   ├── summaries
│   └── transcripts
└── requirements.txt

• Download the YouTube video as a wav audio file
• Transcribe audio file using OpenAI's Whisper model to txt or vtt formats
• Summarise the transcript using free models from HuggingFace
• Transcribe audio file using insanely-fast-whisper and distil-whisper for faster transcriptions
• Add documentation
• Add tests
• Use free open-source models for summarisation instead of GPT3.5
• Add speaker diarisation support
• If the YouTube URL is in the youtu.be format, then convert it to the /watch?v= format
• Output transcripts and summaries into logseq markdown format
• Add front-end UI
• Add support for pdf and epub formats
• Batch downloads and summarisations
• Dockerise app

Contributions are welcome! If you'd like to improve the GPT Summarisation App, please fork the repository and submit a pull request with your proposed changes.

This project is licensed under the MIT License - see the LICENSE.md file for details.