Implement API to Generate Captions for YouTube Video
Learn how to use OpenAI's whisper model to generate text from audio extracted from Youtube.
We'll cover the following...
Introduction
Before creating the API endpoint, let's make a script ready that will accept a YouTube video Id and will return the generated captions of the video. We will use OpenAI's Whisper model to generate captions from audio extracted from the YouTube video. Like many cutting-edge language models, Whisper utilizes the transformer architecture. This powerful neural network excels at understanding complex relationships between words and sequences, leading to superior accuracy and flexibility.
The model architecture separates the "understanding" and "generating" functions and based on encoder-decoder pattern. The encoder processes the input audio, extracting features and meanings. The decoder takes these features and generates the text transcript. Whisper isn't trained from scratch, it benefits from a massive dataset of diverse audio-text pairs, allowing it to generalize well to unseen examples.
For this example, we will use one of the OpenAI's YouTube videos of their OpenAI DevDay: Keynote Recap video.