Chat & Operation Controller Application

A Python-based desktop application for advanced chat management, AI integration, and operation control, built with PySide6. Supports multilingual UI, theme customization, AI provider configuration, dynamic chat backgrounds, and adaptive user settings.

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Screenshots 📸

Figure 1: User interface with background.

Figure 2: Chat window with dynamic background.

Figure 3: Chat window with dynamic background.

Figure 4: Example of AI replies with code and equations.

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Features ✨

• Multi-language support (English / Chinese)
• Theme selection: Light / Dark / Blue
• Chat window with configurable AI providers
• Toolbar with search engine integration (Baidu, Google)
• Customizable font settings across UI components
• Dynamic chat background images
• User account configuration via usr/account.json or Settings page
• AI model configuration including API Key, Base URL, and System Prompt
• Modular design: operation controller separated from main window
• Local chat history saved and auto-loaded

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Installation 💻

git clone https://github.com/mini-walker/ChatOpsDesktop.git
cd ChatOpsDesktop
pip install -r requirements.txt
python src/main.py

EXE generation for Windows 🖥️

Single exe file

.\Generate_single_exe.bat

Package of exe files

.\Generate_exe_package.bat

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Usage 🚀

1. Configure user account info in Settings or by editing usr/account.json.

2. Launch the application.

3. Use Settings to configure:

   • Appearance (theme, font, chat background)
   • Language
   • Toolbar search engine
   • AI provider and API key

4. Interact with AI through the chat window.

5. Toolbar allows quick searches with selected search engines.

6. All changes are saved automatically.

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Account Examples 📝

usr/account.json stores user info and app preferences.

General format:

{
  "Provider": "The LLM provider",
  "base_url": "the base url",
  "API-Key": "your API-key",
  "models": [
   "the available models"
  ]
}

OpenRouter example:

{
  "Provider": "OpenRouter",
  "base_url": "https://openrouter.ai/api/v1/chat/completions",
  "API-Key": "your API-key",
  "models": [
    "x-ai/grok-4.1-fast",
    "openai/gpt-4o-mini",
    "tngtech/deepseek-r1t2-chimera:free",
    "deepseek/deepseek-r1-0528-qwen3-8b:free",
    "qwen/qwen2.5-vl-32b-instruct:free",
    "google/gemini-2.0-flash-exp:free",
    "openai/gpt-4o",
    "meta-llama/llama-3.3-70b-instruct:free",
    "kwaipilot/kat-coder-pro:free"
  ]
}

Groq example:

{
  "Provider": "Groq",
  "base_url": "https://api.groq.com/openai/v1/chat/completions",
  "API-Key": "your API-key",
  "models": [
    "qwen/qwen3-32b",
    "openai/gpt-oss-120b",
    "openai/gpt-oss-20b",
    "openai/gpt-oss-safeguard-20b",
    "meta-llama/llama-4-scout-17b-16e-instruct",
    "meta-llama/llama-guard-4-12b"
  ]
}

Arli example:

{
  "Provider": "Arli",
  "base_url": "https://api.arliai.com/v1/chat/completions",
  "API-Key": "your API-key",
  "models": [
    "Qwen3-235B-A22B-Instruct-2507",
    "Gemma-3-27B-ArliAI-RPMax-v3",
    "Llama-3.3-70B-ArliAI-RPMax-v3"
  ]
}

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Dynamic Chat Background 🎨

Users can set chat background dynamically via:

• Settings > Appearance > Chat Background
• Or by editing "chat_background" field in usr/settings.ini

The chat window will refresh to display the selected image, note that the 'settings.ini' file will be saved when you run the application automatically.

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Dependencies 📦

• Python >= 3.10
• PySide6
• pandas

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License ⚖️

MIT License

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Author ✍️

Shanqin Jin Email: [email protected]