Building a Custom Dungeon Generator with LLaMA and GitHub

As an enthusiast of fantasy role-playing games, you may have encountered the tedious task of creating custom dungeons for your players. This process can be time-consuming and requires a deep understanding of game mechanics, world-building, and storytelling. Fortunately, recent advancements in natural language processing (NLP) and machine learning (ML) have made it possible to automate this process using tools like LLaMA and GitHub.

In this blog post, we’ll explore how to build a custom dungeon generator using LLaMA and GitHub. We’ll cover the basics of LLaMA, its capabilities, and how to integrate it with GitHub to create a seamless workflow for generating dungeons.

What is LLaMA?

LLaMA (Large Language Model Application) is an open-source platform that enables developers to build custom applications using pre-trained language models. These models are trained on vast amounts of text data and can be fine-tuned for specific tasks, such as language translation, text summarization, and even generating creative content.

Setting Up LLaMA

To get started with LLaMA, you’ll need to install the llama package using pip:

pip install llama

Once installed, you can use the llama command-line tool to interact with the platform. Here’s a simple example of how to generate text using LLaMA:

import llama

model = llama.Model("llama-ada-instruct-1.3.0")
prompt = "A dark and mysterious cave"
response = model.generate(prompt)
print(response)

This code snippet generates a response based on the provided prompt. You can experiment with different prompts to see how LLaMA responds.

Creating a Custom Dungeon Generator

Now that we have LLaMA set up, let’s create a custom dungeon generator. We’ll start by defining a simple JSON file that contains the basic structure of our dungeon:

{
    "dungeon": {
        "name": "The Cursed Temple",
        "description": "A mysterious temple filled with traps and treasures.",
        "rooms": [
            {"id": 1, "type": "entrance", "description": "A grand entrance with a large stone door."},
            {"id": 2, "type": "room", "description": "A dark room with cobwebs covering the walls."},
            {"id": 3, "type": "traps", "description": "A room filled with deadly traps."}
        ]
    }
}

Next, we’ll create a Python script that uses LLaMA to generate descriptions for each room in our dungeon:

import json
import llama

# Load the JSON file
with open("dungeon.json") as f:
    data = json.load(f)

# Create an instance of LLaMA
model = llama.Model("llama-ada-instruct-1.3.0")

# Loop through each room in the dungeon
for room in data["dungeon"]["rooms"]:
    # Generate a description for the room using LLaMA
    prompt = f"A {room['type']} with {room['description']}"
    response = model.generate(prompt)
    print(response)

This code snippet loads our JSON file and then loops through each room in the dungeon. For each room, it generates a description using LLaMA’s generate method.

Integrating with GitHub

Now that we have our custom dungeon generator set up, let’s integrate it with GitHub to create a seamless workflow for generating dungeons. We’ll start by creating a new repository on GitHub and then cloning it locally:

git init
git add .
git commit -m "Initial commit"

Next, we’ll create a new file called dungeon_generator.py in our repository and add the Python script from earlier:

# dungeon_generator.py

import json
import llama

# Load the JSON file
with open("dungeon.json") as f:
    data = json.load(f)

# Create an instance of LLaMA
model = llama.Model("llama-ada-instruct-1.3.0")

# Loop through each room in the dungeon
for room in data["dungeon"]["rooms"]:
    # Generate a description for the room using LLaMA
    prompt = f"A {room['type']} with {room['description']}"
    response = model.generate(prompt)
    print(response)

Finally, we’ll create a new file called generate_dungeon.sh in our repository and add the following script:

#!/bin/bash

python dungeon_generator.py > output.txt

This script runs our Python script and redirects the output to a file called output.txt. We can then commit these changes to our GitHub repository:

git add .
git commit -m "Added dungeon generator"
git push origin master

Now, whenever we want to generate a new dungeon, we can simply run the following command in our terminal:

sh generate_dungeon.sh

This will generate a new dungeon and save it to a file called output.txt. We can then use this output as input for our game.

Conclusion

In this blog post, we’ve explored how to build a custom dungeon generator using LLaMA and GitHub. We’ve covered the basics of LLaMA, its capabilities, and how to integrate it with GitHub to create a seamless workflow for generating dungeons. By following these steps, you can create your own custom dungeon generator and automate the process of creating new dungeons for your players.

Remember, this is just the beginning of what’s possible with LLaMA and GitHub. You can experiment with different prompts, models, and workflows to create even more complex applications.