MVD.AI

MVD.AI is a personal AI management hub that connects a variety of AI services, such as OpenAI, GoogleAI, ClaudeAI, and Stable Diffusion, through an easy-to-use web interface. Built to function as both a standalone tool and an API for integration with other projects, MVD.AI is ideal for developers and hobbyists looking to explore AI capabilities. As this is a personal project, some features may be experimental, and occasional bugs should be expected.

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Features

AI Modules

• OpenAI Integration: Chat-based AI functionality for OpenAI models.
• GoogleAI Integration: Connects with Google's Generative AI services.
• ClaudeAI Integration: Support for Anthropic Claude models.
• Stable Diffusion: Generate AI-based images directly from prompts.

Core Functionalities

• Text-to-Speech (TTS): Natural speech synthesis using Azure Cognitive Services.
• Speech-to-Text (STT): Integration for voice transcription (e.g., OpenAI Whisper).
• Live Object Detection: Computer vision via YOLO for real-time object detection.
• Chat Management: Respond to queries from multiple AI models simultaneously.
• System Monitoring: Track system metrics like CPU, GPU, and memory usage.
• Activity Tracker: Context-aware tracking for personalized AI interactions.

User Interface

• Web-based interface with multiple tabs for:
  • AI Requests
  • Live Object Detection
  • Azure TTS
  • Stable Diffusion
  • System Monitoring
  • Logs

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Installation

Prerequisites

1. Python 3.10+
2. Node.js (optional for additional frontend features)
3. API keys for the following services:
   • OpenAI
   • Google Cloud
   • Azure Cognitive Services (for TTS/STT)
   • Anthropic (ClaudeAI)

For CUDA 12.4 support, install torch as per: https://pytorch.org/get-started/locally/torch==2.5.1+cu124

Clone the Repository

git clone https://github.com/MarcelvanDuijnDev/MVD.AI.git
cd MVD.AI

Environment Setup

1. Create a .env file in the root directory:

   OPENAI_API_KEY=your_openai_api_key
   GOOGLEAI_API_KEY=your_googleai_api_key
   CLAUDE_AI_API_KEY = your_claudeai_api_key
   GROK_API_KEY = your_grok_apikey
   AZURE_API_KEY=your_azure_api_key
   AZURE_REGION=your_azure_region
   PYTESSERACTPATH = your_pytesseract_path
   

2. Install Python dependencies:

   pip install -r requirements.txt
   

3. Optional: Set up Stable Diffusion locally by following the Stable Diffusion Web UI instructions.

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Usage

Run the Application

1. Start the MVD.AI server:

   python app_server.py

2. Access the web interface at:

   http://127.0.0.1:5000
   

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Directory Structure

MVD.AI/
├── app_server.py         # Main server script
├── .env                  # Environment variables
├── modules/              # Modular AI service implementations
│   ├── openai.py         # OpenAI integration
│   ├── googleai.py       # GoogleAI integration
│   ├── claude.py         # ClaudeAI integration
│   ├── stable_diffusion.py # Stable Diffusion API
│   ├── live_object_detection.py # YOLO-based object detection
│   ├── filter_manager.py # Content filtering
│   ├── activity_tracker.py # Activity tracking
│   ├── system_monitor.py # System metrics tracking
│   └── log_manager.py    # Log management
├── static/               # Frontend assets
│   ├── css/
│   │   └── styles.css    # Main stylesheet
│   ├── js/
│   │   └── scripts.js    # Main JavaScript
│   └── audio/            # Generated audio files
├── templates/            # HTML templates
│   └── index.html        # Main UI template
├── README.md             # Documentation
└── requirements.txt      # Python dependencies

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Contributing

1. Fork the repository.
2. Create a new branch:

   git checkout -b feature-name

3. Make your changes and commit them:

   git commit -m "Add feature-name"

4. Push to your branch:

   git push origin feature-name

5. Open a pull request.

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License

This project is licensed under the MIT License. See the LICENSE file for details.