Enhancing Video Summarization with OpenAI API and JSON Schema | Episode 150
2In this video, I discuss how to enhance the video summarization process by integrating OpenAI APIs with JSON Schema to generate meaningful summaries from transcriptions. We start by defining a JSON schema for the response required from the OpenAI API, focusing on extracting relevant summary data from video transcriptions.After that, we dive into the technical setup, examining how to utilize transcription segments to improve summary generation, capturing important moments and potential errors in the video. I explain the process of creating a structured output using OpenAI's JSON schema and address some challenges faced in dynamically matching the schema to our data.Additionally, you'll learn about the tools and techniques I use to manage video content, including a personal project involving automated video editing and management through a custom-built video editor. This tool aims to streamline my workflow by automatically generating content summaries and titles for YouTube uploads.We also explore potential improvements in the system, such as better integration with streaming content, dynamic use of chat data, and automating frequent video editing tasks to refine the overall process.Join me as I enhance my coding and development skills while working on these exciting projects, leveraging the power of OpenAI and other technology frameworks to automate and simplify video content creation.
🔗 Check out my Twitch channel for more streams: https://www.twitch.tv/saebynGitHub: https://github.com/saebynDiscord: https://discord.gg/N7xfy7PyHs