This project offers an interactive life simulation game, "LifeReloaded," powered by GPT-4's Advanced Data Analysis. It provides users with a "second chance" at life, allowing them to experience different scenarios and outcomes generated by AI, targeting players interested in AI-driven entertainment and narrative experiences.

How It Works

The game leverages GPT-4's Advanced Data Analysis (or GPT-3.5-Turbo for the web version) to dynamically generate life events, character attributes, and even unique poetic introductions for each playthrough. It incorporates a psychological element with an MBTI personality system and features rare "multiverse" events like alien encounters or time travel, all generated in real-time by the LLM.

Quick Start & Requirements

• Web Version:
  • Install dependencies: pip install -r requirements.txt
  • Set environment variables (e.g., OPENAI_API_KEY) in a .env file.
  • Run: python app.py
  • Link to play: [Provided in README]
• ChatGPT Version:
  • Requires ChatGPT Plus subscription with GPT-4 Advanced Data Analysis enabled.
  • Run LifeReloaded.txt within the tool.

Highlighted Details

• Web version game generation time reduced from 30 to 10 minutes.
• Features MBTI personality system for character shaping.
• Includes a small chance of "multiverse" events (aliens, time travel).
• Each playthrough begins with a unique, AI-generated poem.

Maintenance & Community

The project is supported by the EmbraceAGI community, which focuses on AI in gaming and offers guidance on prompt engineering and LLM development. Links to join the AIGG community are provided.

Licensing & Compatibility

The project is licensed under CC BY-NC-SA 4.0 (Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International). This license prohibits commercial use and requires derivative works to be shared under the same terms.

Limitations & Caveats

The core functionality relies on GPT-4's Advanced Data Analysis, which is currently limited to ChatGPT Plus subscribers. The game's experience is subject to the inherent randomness of LLMs, leading to potential variability in outcomes.