SherlockGPT - An AI-Driven Murder Mystery

This game experiment is inspired by "WhoDunit" by Henrik Kniberg: https://blog.crisp.se/2023/08/26/henrikkniberg/whodunit-ai-game-development-on-steroids

It was (mostly) live-coded on Twitch by Wolfgang Schoch: https://www.twitch.tv/herrschoch

Have fun exploring the code.

Detective Game Backend

This project is an example of a backend for a detective game using Flask and the OpenAI API.

Installation

1. Create and activate a virtual environment:

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

2. Install the dependencies:

pip install -r requirements.txt

3. Create a .env file in the root directory and add your OpenAI API key:

OPENAI_API_KEY=your_openai_api_key

4. Start the application:

python backend/app.py

5. Open the game in your browser:

http://127.0.0.1:5000

Notes

• All game data is stored in a SQLite database: sherlockgpt/instance/scenarios.db. There is a sample database with game data that corresponds to the provided images and JSON files. It is named scenarios.db.example. Simply rename it to scenarios.db and place it in sherlockgpt/instance/ to get started.
• There are some helper methods to rebuild the database, etc. Look for the /admin endpoints in routes.py.
• Don't forget: this is just a little experiment and not a full game. 😉