YouTube Video Summarizer with GPT-3

This Python script allows you to extract video summaries and major themes/points from YouTube videos using the GPT-3 language model. It leverages the youtube_transcript_api library to retrieve video transcripts and OpenAI's GPT-3 API for natural language processing.

Prerequisites

Before you can use this script, you'll need the following:

An OpenAI GPT-3 API key. You can obtain an API key by signing up for an account on the OpenAI platform.
Python 3 installed on your system.
The youtube_transcript_api Python library, which can be installed using pip:

pip install youtube-transcript-api

The openai Python library, which can be installed using pip:

pip install openai

Usage

Clone this repository to your local machine: git clone https://github.com/clorth0/gpt-video-summarizer.git

cd gpt-video-summarizer

Set your OpenAI API key as an environment variable by either exporting it or adding it to a .env file in the project directory:

export OPENAI_API_KEY=your-api-key

...or create a .env file with the following content:

OPENAI_API_KEY=your-api-key

Run the script by executing:

python3 transcribe.py

You'll be prompted to enter the YouTube Video ID (the alphanumeric code in the video's URL) for the video you want to summarize.
The script will retrieve the video transcript, generate a summary, and provide a list of major themes/points discussed in the video.
Review the generated output in the terminal.

Customization

You can customize the behavior of the script by modifying the code in transcribe.py. You can adjust parameters such as the maximum token limit and temperature for the GPT-3 model, or change the prompt to better suit your needs.

License

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

Acknowledgments

Daniel Miessler for inspiring the project with his own.
OpenAI for providing the GPT-3 API.
youtube_transcript_api for the YouTube transcript retrieval.