A versatile AI assistant with multi-model support
Project description
QuackQuery
QuackQuery is a versatile AI assistant with multiple integrations including GitHub automation, file management, and application launching capabilities.
Features
- Multi-model AI Support: Seamlessly switch between Google Gemini and OpenAI models
- Natural Language Commands: Control your computer with simple English instructions
- GitHub Integration: Create repositories, manage issues, and more with voice or text
- File Management: Navigate, create, move, and search files using natural language
- Application Automation: Launch applications with simple voice commands
- OCR Capabilities: Extract text from images and screenshots
- Voice Recognition: Interact with the assistant using speech
- Desktop Screenshots: Capture and analyze your screen
- Role-based Personalities: Switch between different assistant roles for specialized help
- Email Integration: Send, read, reply to, and manage emails with natural language commands
Installation
From PyPI (Recommended)
pip install QuackQuery
From Source
git clone https://github.com/kushagra2503/ai_assistant.git
cd ai_assistant
pip install -e .
Quick Start
After installation, run QuackQuery from your terminal:
quackquery
On first run, you'll be prompted to configure your API keys.
API Keys
QuackQuery requires at least one of the following API keys:
- Google Gemini API key: Get from Google AI Studio
- OpenAI API key: Get from OpenAI Platform
You can set these as environment variables:
# For Windows
set GEMINI_API_KEY=your_gemini_api_key
set OPENAI_API_KEY=your_openai_api_key
# For Linux/macOS
export GEMINI_API_KEY=your_gemini_api_key
export OPENAI_API_KEY=your_openai_api_key
Or create a .env file in your working directory:
Usage
quackquery
Usage Examples
Email Management
Project details
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