evejourney / eve-reasoning

This repo holds the reasoning algorithms engine of EVE, an AI chatbot for erotic conversation

EVE Reasoning Engine

Welcome to the EVE Reasoning Engine repository. This engine enables EVE, the AI specialized in erotic chat, to have a working reasoning system for both general purpose reasoning and erotic discussions.

To start chatting with EVE, follow this link : https://evejourney.com

Installation

To install the EVE Reasoning Engine, please follow these steps:

1. Clone the repository to your local machine.
2. Ensure that you have the latest version of Python installed.
3. Install the required packages by running the following command:

pip install -r requirements.txt

Usage

The EVE Reasoning Engine offers two modes: general purpose and erotic discussions. To use the engine, simply run the following command in your terminal:

python reasoning_engine.py mode

Replace mode with either general or erotic depending on your desired mode.

General Purpose Mode

In general purpose mode, EVE will engage in a conversation with you using logical reasoning. You can ask EVE any question or pose any problem, and she will try to respond with a logical answer. To exit general purpose mode at any time, simply type "exit" or "quit".

Erotic Mode

In erotic mode, EVE will engage in a more intimate conversation with you. You can talk to EVE about anything related to sexuality and she will respond with understanding and empathy. To exit erotic mode at any time, simply type "exit" or "quit".

Contributing

We welcome contributions to the EVE Reasoning Engine repository. If you have any suggestions or improvements to the code, please feel free to submit a pull request.

License

The EVE Reasoning Engine is licensed under the MIT License, which means you are free to use, modify, and distribute the code as long as you keep the license intact. See the LICENSE file for more information.

Credits

The EVE Reasoning Engine was created by the EVE team. We would like to thank the developers of the various packages that this project utilizes, including NLTK and spaCy. Thank you for making this project possible!