TESS (Text Evaluation & Synthesis System)

TESS is a comprehensive local AI workspace built on top of Ollama. It provides a powerful, unified interface for managing, testing, and interacting with your local large language models.

Key Features

• Chat: A robust chat interface with history, model selection, parameter tuning, and dynamic context injection.
• Long-Term Memory: Persistent, tool-based memory system that allows models to remember user preferences, facts, and context across different conversations.
• Arena: Compare models side-by-side to evaluate performance and reasoning.
• Batch: Run prompts across multiple models simultaneously to compare outputs.
• Story Studio: High-fidelity, multi-speaker audio synthesis with voice cloning and dynamic character identification, using Omnivoice and Kokoro TTS.
• Voice Designer: Craft custom synthetic voices by adjusting parameters like gender, age, pitch, and accent.
• Visual Generation: Create stunning images using the Anima pipeline. Includes progress indicators, history management, and integrated chat tool support.
• Tools & Agents:
  • AI Tool Generator: Build custom tools using natural language; the system generates the schema and logic for you.
  • Integrated Debugger: Test and validate tools in a split-screen workspace before deployment.
• Web Search: Equip your local models with real-time web access via integrated DuckDuckGo search and URL extraction.
• Google Integration: Connect your Google Workspace to analyze and synthesize documents.
• Apps Ecosystem: A modular space for custom applications, including a dedicated Notes app with Google Drive synchronization.
• Model Management: Easily pull, delete, and manage your local Ollama models.
• Custom Models: Create new model variants (Modelfiles) directly within the UI.
• Playground: An experimental space for rapid model testing and iteration.

Getting Started

1. Ensure Ollama is installed and running.
2. Clone the repository:

   git clone https://github.com/aole/TESS.git
   cd TESS

3. Run the application using uv (which will automatically handle dependencies from pyproject.toml):

   uv run main.py

4. Open your browser to http://localhost:8080.

Technology

Built with ❤️ using:

• NiceGUI - For the beautiful, responsive web interface.
• Ollama - For local LLM inference.
• uv - Fast Python package and project management.
• Omnivoice & Kokoro - For state-of-the-art TTS and voice cloning.