iauto-desktop 0.1.0

iauto-desktop is a desktop application for iauto

iauto

iauto is a Python library for intelligent automation.

Key Features

• Workflow Orchestration: Defining workflow using YAML, for collaboration and version control
• Playwright Integration: Automate web workflows with Playwright
• Appium Integration: Automate web, iOS, Android, Windows, and macOS workflows with Appium
• LLMs Integration: Integrate AI into automated workflows, support OpenAI API and self-hosting LLMs

Roadmap

• pyautogui Integration: Cross-platform keyboard and mouse control
• OCR: Support ORC-based screen element recognition
• OpenAI Assistants API: Support Orchestrating OpenAI Assistants API

Quick Start

Installation

Python version requirement: >=3.8

iauto can be installed from PyPI using pip. It is recommended to create a new virtual environment before installation to avoid conflicts.

pip install -U iauto

To enable cuBLAS acceleration on NVIDIA GPU:

CMAKE_ARGS="-DGGML_CUBLAS=ON" pip install -U iauto

To enable Metal on Apple silicon devices:

CMAKE_ARGS="-DGGML_METAL=ON" pip install -U iauto

Playbook

Automate your workflow by writing a playbook.

Example: Web automation

browser.yaml

playbook:
  description: Open browser and goto https://bing.com
  actions:
    - browser.open:
        args:
          exec: /Applications/Google Chrome.app/Contents/MacOS/Google Chrome
        result: $browser
    - browser.goto:
        args:
          browser: $browser
          url: https://bing.com
        result: $page
    - repeat:
        actions:
          - browser.eval:
              args:
                page: $page
                javascript: new Date()
              result: $now
          - log: $now
          - time.wait: 2

Run the playbook:

python -m iauto ./browser.yaml

Example: Chatbot

chatbot.yaml:

playbook:
  description: Chat to OpenAI
  actions:
    - llm.session:
        result: $session
    - repeat:
        actions:
          - shell.prompt:
              args: "Human: "
              result: $prompt
          - llm.chat:
              args:
                session: $session
                prompt: $prompt
              result: $message
          - shell.print: "AI: {$message}"

Set your OpenAI API key:

export OPENAI_API_KEY=sk-<YOUR_API_KEY>

Run the playbook:

python -m iauto ./chatbot.yaml

More example playbooks

• Control Flow
• Appium Webdriver
• Playwright Browser
• OpenAI REPL Chatbot
• ChatGLM REPL Chatbot
• QWen REPL Chatbot

Contribution

We are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.

Development setup

• Code Style: PEP-8
• Docstring Style: Google Style

# Create python venv
python -m venv .venv
source .venv/bin/activate

# Install dependencies
pip install -r requirements.txt
pip install -r requirements-dev.txt

# Apply autopep8, isort and flake8 as pre commit hooks
pre-commit install

Build

./build.sh

License

MIT