This project addresses the perceived lack of interactive elements in real-world conversations by integrating GalGame-style features. It targets users seeking a gamified or more structured dialogue experience, offering real-time subtitles, AI-driven response suggestions with predicted outcomes, and a dynamic affection system to enhance engagement.

How It Works

The application utilizes a semi-transparent, always-on-top floating window that overlays existing chat interfaces. Core functionalities include real-time speech-to-text transcription for subtitles and AI-powered response options, each annotated with sentiment tags (e.g., "gentle," "humorous") and affection impact predictions. A visual affection meter provides immediate, quantifiable feedback on dialogue choices, simulating relationship progression.

Quick Start & Requirements

• Installation: Binaries are available via GitHub Releases, Quark Drive, and Baidu Netdisk.
• Prerequisites: The desktop version targets Windows/macOS; the mobile version is Android-native. Requires user-provided LLM configuration for AI features.
• Documentation & Demos: Links to mobile and desktop documentation, plus a Bilibili demonstration video, are provided.

Highlighted Details

• The mobile version supports offline operation.
• Features configurable keyword triggers for pop-up notifications.
• The mobile version includes adjustable "CG switch" visual effects.
• AI suggestions incorporate sentiment analysis and predicted conversational effects.
• The affection system offers real-time visualization, with boosts from voice interaction and time-based changes.

Maintenance & Community

• Contributions are welcomed via GitHub Issues and Pull Requests.
• Community engagement is facilitated through a QQ group (ID: 1074602400).

Licensing & Compatibility

• The project operates under an unspecified open-source license, detailed in the LICENSE file.
• Specific terms regarding commercial use or closed-source integration are not detailed in the README.

Limitations & Caveats

AI functionality is dependent on user-configured LLMs. The primary focus is on replicating a GalGame dialogue experience, which may not suit all conversational contexts. Detailed license terms require consulting the LICENSE file.