Building a Homebrew AI Assistant using OpenAI GPT-4

🤖By leveraging OpenAI GPT-4, we can create an AI assistant that processes video content and generates audio responses.

🎥Using ffmpeg, we can split a video into audio and image files, making it compatible with GPT-4.

🎤The Whisper API allows us to convert speech in the video to text, which can be understood by GPT-4.

🔊OpenAI's text-to-speech API helps us convert GPT-4's textual responses into audio output.

🎙️With this homebrew AI assistant, we can interact with video content through speech and receive audio responses.

Can the homebrew AI assistant process any video content?

—Yes, the assistant can process any video content by splitting it into audio and image files.

Does the assistant rely on any external APIs?

—Yes, it uses OpenAI's Whisper API for speech-to-text conversion and the text-to-speech API for generating audio responses.

Can the homebrew AI assistant be customized?

—Yes, the assistant's behavior and responses can be customized based on the desired use case.

Is there a limit to the length of video content the assistant can handle?

—The assistant can handle video content of any length, as long as there are sufficient computing resources available.

Can the assistant be integrated with other AI models?

—Yes, the assistant can be integrated with other AI models to enhance its functionality and capabilities.

13:48The homebrew AI assistant uses OpenAI GPT-4 to process video content and generate audio responses.

14:29The video input is split into audio and image files using ffmpeg.

15:20The Whisper API converts speech in the video to text, which can be understood by GPT-4.

16:10OpenAI's text-to-speech API converts GPT-4's textual responses into audio output.

17:13The homebrew AI assistant can interact with video content through speech and provide audio responses.