Build AI Assistant with LiveKit: Real-Time Voice and Visual Interaction
In this video, Underfitted demonstrates how to build a real-time AI assistant using LiveKit, the same platform OpenAI uses for their ChatGPT assistant. The AI assistant can interact with users through voice and webcam, providing real-time responses to visual and auditory inputs. The video walks through the process of setting up the assistant, including the necessary environment variables and API keys, and explains the code used to create the assistant in detail.
The AI assistant is designed to handle voice commands and webcam inputs efficiently by only sending images to the assistant when necessary. This approach minimizes data transfer and improves response times. The assistant uses function calling to determine when it needs visual input to answer a question. For example, if the user asks whether they are wearing glasses, the assistant will request an image from the webcam to make the determination.
The video covers the following steps:
1. Setting up the environment and installing required libraries.
2. Configuring environment variables for LiveKit, Deepgram, and OpenAI.
3. Writing the code to initialize the assistant, handle voice activity detection, speech-to-text conversion, and text-to-speech output.
4. Implementing function calling to handle requests that require visual input.
5. Running the assistant and using the LiveKit hosted playground to connect and interact with the assistant.
The code is designed to be simple and easy to follow, with extensive comments to help viewers understand each step. The assistant can answer various questions, such as identifying objects in the webcam feed, reading text, and performing basic tasks like telling jokes or solving math problems. The video concludes with a demonstration of the assistant in action, showcasing its ability to respond to both voice and visual inputs accurately and efficiently.