Build an AI Assistant That Sees and Listens: Step-by-Step Tutorial
In this video, Underfitted demonstrates how to build an AI assistant that listens to voice commands and uses a webcam to understand the world around it. The AI assistant is built using Python and integrates various APIs and libraries to achieve its functionality. The tutorial covers the step-by-step process of setting up the AI assistant, including capturing audio, transcribing it, capturing images from a webcam, and using a large language model to process the input and generate responses.
The main components of the AI assistant include:
1. **Audio Capture and Transcription**: Using the Whisper library to capture audio from the microphone and transcribe it into text.
2. **Image Capture**: Using OpenCV to capture images from the webcam.
3. **Large Language Model**: Utilizing Gemini Flash 1.5 for processing text and images to generate responses. The tutorial also explains how to switch to GPT-4 if desired.
4. **Text-to-Speech**: Using OpenAI’s text-to-speech API to convert the generated text responses into audio and play them through the computer’s speakers.
The video provides a detailed walkthrough of the code, explaining each class and function involved in the AI assistant’s operation. The assistant class manages the interaction with the large language model and handles the integration of audio and image inputs. The webcam stream class continuously captures images from the webcam and provides the latest frame when needed. The text-to-speech function converts the model’s text responses into audio.
The tutorial also includes a live demo of the AI assistant in action, showcasing its ability to recognize objects, read text, and answer questions based on the visual and audio input it receives. The video concludes with suggestions for improving the AI assistant, such as implementing interruption handling, adding robustness, and enabling streaming responses from the model.
Overall, this video provides a comprehensive guide to building a functional AI assistant that can see and listen, using accessible tools and libraries in Python.