Text-Based Chess App with LLM Integration

By
 import logging
from abilities import apply_llm_prompt_to_every_item

logger = logging.getLogger(__name__)
logging.basicConfig(level=logging.WARNING)


def get_llm_move(moves_list):
    prompt = f"Given the list of chess moves {moves_list}, what is the next best move?"
    user_language = "en"
    expected_response_size = 1500
    llm_model_name = "gpt-3.5-turbo-16k"
    result = apply_llm_prompt_to_every_item(
        prompt, [""], user_language, expected_response_size, llm_model_name
    )
    return result["responses"][0]


def main():
    moves_list = []
    while True:
        user_move = input("Enter your move: ")
        moves_list.append(user_move)
        print("Moves so far:", moves_list)

About this template

A text-based chess app where users can play chess in text form and view a list of all the moves made. The user inputs their moves via the command line, and LLM generates the next move in response to the user's move.

Introduction to the Text-Based Chess App with LLM Integration Template

Are you ready to build a text-based chess application that integrates with a language model to generate chess moves? This template provides a seamless way to create an app where users can input their chess moves, and the app will respond with the next best move using a language learning model (LLM). This guide will walk you through the steps to get your app up and running on the Lazy platform.

Getting Started with the Template

To begin using this template, simply click on "Start with this Template" on the Lazy platform. This will set up the template in your Lazy Builder interface, and you can proceed with the following steps without the need to copy or paste any code.

Using the Test Button

Once you have initiated the template, you can test the functionality of your app by clicking the "Test" button. This will deploy your app and launch the Lazy CLI. If the code requires user input, you will be prompted to provide it through the Lazy app at this stage. As you interact with the CLI, you will enter your chess moves when prompted. The app will then display the moves made so far and use the integrated LLM to generate the next move. This process will continue for each move you make, allowing you to play a game of chess against the LLM.

How to Use the Interface

The interface for this text-based chess app is straightforward. You will interact with the app through the command line, entering your moves when prompted. The app will keep track of all moves made and display them after each turn. There is no need for additional setup or integration with other services or frontends. If you need to interact with the app's API, Lazy will provide you with a dedicated server link to use the API. However, for this particular template, there is no need to use an external API link as all interactions are handled through the command line interface.

Conclusion

By following these simple steps, you can quickly set up and start using your text-based chess app with LLM integration. The Lazy platform handles all the deployment details, so you can focus on enjoying your chess game and exploring the capabilities of the integrated language model. Happy building and enjoy your chess matches!
Technology
Last published
April 7, 2024

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Text-Based Chess App with LLM Integration