Ollama Chat Stream Processing System

A robust, modular Python framework for building advanced chat applications with Ollama models, featuring asynchronous processing, streaming responses, and comprehensive task management.

🌟 Features

• Asynchronous Processing: Built with Python's asyncio for efficient task handling
• Streaming Responses: Real-time streaming of model outputs
• Multi-Model Support: Compatible with various Ollama models
• Task Management: CSV-based task organization and tracking
• Code Generation: Support for multiple programming languages
• Modular Design: Clean, maintainable, and extensible architecture
• Comprehensive Logging: Detailed activity and performance tracking

🚀 Quick Start

Prerequisites

• Python 3.8+
• Ollama installed and running
• Git (for version control)

Installation

# Clone the repository
git clone https://github.com/MontyCraig/Ollama_Presentation.git
cd Ollama_Presentation

# Create and activate virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install dependencies
pip install -r requirements.txt

Basic Usage

# Run with default settings
python async-chat-stream_2_main_v1.0/main.py

# Enable text-to-speech
python async-chat-stream_2_main_v1.0/main.py --speak

# Use specific model
python async-chat-stream_2_main_v1.0/main.py --model qwen2:7b

🏗️ Project Structure

async-chat-stream_2_main_v1.0/
├── modules/           # Core functionality
├── legacy/           # Previous versions
└── docs/            # Documentation

chat_bot/
├── core/            # Core components
└── utils/           # Utility functions

📚 Documentation

• Setup Guide
• Technical Report
• Code Standards
• Repository Structure

🛠️ Features in Detail

Task Management

• CSV-based task organization
• Interactive task selection
• Progress tracking
• Task completion persistence

Output Management

• Structured file organization
• Multiple output formats
• Version control
• Metadata tracking

Model Integration

• Asynchronous client implementation
• Streaming response handling
• Context management
• Token counting

🤝 Contributing

1. Fork the repository
2. Create a feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

📝 License

[Specify License]

🙏 Acknowledgments

• Ollama team for the excellent model framework
• Contributors and testers
• Open source community

📞 Contact

Monty Craig - [Your Contact Info]

Project Link: https://github.com/MontyCraig/Ollama_Presentation