Log Assistant

A powerful, flexible logging application that helps users create custom AI-powered logging assistants for various purposes. Built with React, TypeScript, and modern web technologies.

Features

• Custom Logging Assistants: Create specialized AI assistants tailored to your specific logging needs
• Multiple Log Management: Create and manage multiple logs per assistant
• Multimodal Input Support:
  • Voice input with transcription (OpenAI Whisper or local Whisper.cpp)
  • Image analysis and logging
  • Markdown formatting support
• Flexible AI Backend:
  • OpenAI integration
  • Local AI support via Ollama
• Data Export Options:
  • Download logs in JSON format
  • Export data to CSV
  • Automatic local backup
• User-Friendly Interface:
  • Intuitive chat interface
  • Real-time message streaming
  • Markdown formatting
• Google Calendar Integration: Set reminders for logging tasks

Getting Started

Prerequisites

• Node.js 18 or higher
• npm or yarn
• (Optional) OpenAI Account with API Key
• (Optional) Ollama for local AI support
• (Optional) Whisper.cpp for local voice transcription

Installation

1. Clone the repository:

   git clone https://github.com/jetro30087/Ollogger
   cd Olloger

2. Install dependencies:

   npm install

3. Start the development server:

   npm run dev

Configuration

1. OpenAI Setup (Optional):

   • Obtain an API key from OpenAI
   • Enter your API key in the settings menu

2. Ollama Setup (Optional):

   • Install Ollama on your system (https://ollama.com/)
   • Start the Ollama server *tested with llama3.2-vision
   • Enable Ollama in the settings menu
   • Configure the endpoint (default: http://localhost:11434)

3. Whisper.cpp Setup (Optional):

   • Set up a Whisper server *tested with Whisper.cpp (https://github.com/ggerganov/whisper.cpp)
   • Enable in settings when using Ollama
   • Configure the endpoint (default: http://localhost:8080)

Usage

Creating a Custom Assistant

1. Click the "Create Assistant" button
2. Describe your logging needs to the assistant
3. Follow the guided process to define:
   • Log categories
   • Data fields
   • Formatting preferences
   • Custom requirements

Managing Logs

• Create new logs using the "+Create Assistant" button in the sidebar
• Switch between logs using the sidebar
• Rename or delete logs as needed
• Export logs in JSON or CSV format

Voice and Image Input

• Click the microphone icon for voice input
• Use the image icon to upload and analyze images
• Voice messages can be automatically sent after transcription

Building for Production

npm run build

The built files will be in the dist directory.

Technologies Used

• React
• TypeScript
• Tailwind CSS
• Vite
• OpenAI API
• Ollama
• Lucide Icons
• Date-fns

Contributing

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

License

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

Acknowledgments

• OpenAI for their API
• Ollama team for local AI support
• Whisper.cpp team for local voice transcription
• All contributors and users of this project

Support

For support, please open an issue in the GitHub repository or contact the maintainers.