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Personal Intelligent Work Assistant running on local computer

Project description

Intelligent Work Assistant

A personal intelligent work assistant application running on your local computer, built with Streamlit.

Description

Intelligent Work Assistant (IWA) is a Python-based application designed to help you with your daily work tasks. It provides an interactive web interface powered by Streamlit for easy interaction.

Features

  • Local execution for privacy and security
  • Web-based user interface using Streamlit
  • Lightweight and easy to use

Requirements

  • Python >= 3.12
  • Streamlit >= 1.50.0

Installation

Install the package:

pip install intelligent-work-assistant

Download models

  1. Download Embedding model
modelscope download --model "OpenVINO/Qwen3-Embedding-0.6B-int8-ov" --local_dir Qwen3-Embedding-0.6B-int8-ov
  1. Download Text-Generation model
modelscope download --model "OpenVINO/Qwen3-0.6B-int8-ov" --local_dir Qwen3-0.6B-int8-ov

How to Run

iwa --model <Text-Generate model> --embed-model <Embedding model>

Assume that you downloaded Qwen3-Embedding-0.6B-int8-ov and Qwen3-0.6B-int8-ov model, the command should be

iwa --model Qwen3-0.6B-int8-ov --embed-model Qwen3-Embedding-0.6B-int8-ov

This will launch the Streamlit application in your default web browser.

Project Structure

IntelligentWorkAssistant/
├── src/
│   └── intelligent_work_assistant/
│       ├── __init__.py
│       ├── __main__.py
│       ├── main.py          # Entry point and launcher with CLI arguments
│       ├── model.py         # OpenVINO LLM wrapper with streaming support
│       └── st_main.py       # Main Streamlit multi-page application
├── tests/
│   └── __init__.py
├── threads-history/         # Chat history storage (auto-created)
├── pyproject.toml           # Project configuration and dependencies
└── README.md

Key Files

  • main.py: Command-line interface entry point that validates models and launches Streamlit
  • model.py: OpenVINO GenAI wrapper class for LLM inference with streaming capabilities
  • st_main.py: Streamlit application with multi-page navigation, chat interface, and history management

Development

To contribute or modify the application:

  1. Install in editable mode: pip install -e .
  2. Make your changes to the code
  3. Test by running iwa command
  4. The changes will be reflected immediately without reinstallation

License

MIT

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