AI voice assistant

Overview

This project combines audio transcription capabilities with AI-powered interaction, allowing users to transcribe audio and engage in conversations with an AI model.

Features

• Audio transcription using Whisper
• Integration with Ollama for AI-powered conversations
• Real-time visual analysis using computer vision and AI
• Describe objects, scenes, and activities captured by webcam or screenshot

Requirements

• Python 3.8+
• See requirements.txt for a full list of dependencies

Installation

1. Clone the repository
2. Create and activate a Python virtual environment:

   python -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`
   

3. Install the required packages:

   pip install -r requirements.txt
   

4. Install Ollama following the instructions at ollama.ai

Usage

1. Ensure your virtual environment is activated
2. Run the main script:

   python bobo.py
   

3. Ask Bobo to tell you what they see or look at your screen!

Configuration

• Customize AI model prompts as needed

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License

Acknowledgements

• OpenAI Whisper
• Faster Whisper
• Ollama
• All other open-source libraries used in this project