This project provides a Python application that uses a webcam to capture video, processes it with an AI model to identify objects, and then uses text-to-speech to narrate the user's life in the style of David Attenborough. It's designed for users interested in creating AI-powered applications and experiencing novel AI interactions.

How It Works

The application leverages a combination of AI models. Object detection is performed using a pre-trained model, likely from a library like YOLO or similar, to identify items in the webcam feed. The identified objects are then fed into a language model (OpenAI) to generate descriptive text. Finally, this text is converted into speech using ElevenLabs' text-to-speech API, with a specific voice ID configured to mimic a particular narration style.

Quick Start & Requirements

• Install dependencies: pip install -r requirements.txt
• Set API keys: export OPENAI_API_KEY=<token>, export ELEVENLABS_API_KEY=<token>, export ELEVENLABS_VOICE_ID=<voice-id>
• Run webcam capture: python capture.py
• Run narrator: python narrator.py
• Prerequisites: Python 3.x, virtualenv, Replicate account, OpenAI account, ElevenLabs account, ElevenLabs voice ID.

Highlighted Details

• Real-time narration of user's environment.
• Mimics David Attenborough's narration style.
• Integrates webcam input with AI object detection and TTS.

Maintenance & Community

The project is maintained by cbh123. Further community or maintenance details are not provided in the README.

Licensing & Compatibility

The README does not specify a license. Compatibility for commercial use or closed-source linking is not mentioned.

Limitations & Caveats

The project requires multiple third-party API keys (OpenAI, ElevenLabs), which may incur costs. The quality of narration is dependent on the chosen ElevenLabs voice and the accuracy of the object detection model.