Enhancing My Plotly and Dash Chess Game With Multiplayer and Better LLM responses
Introduction
In this blog post, we will delve into a substantial update made to my Dash-based chess application, which integrates gameplay with AI via the transformers library and supports multiplayer functionality over a network. The updated code introduces several improvements including cleaner project structure, multiplayer network handling, and an enriched user interface. Let’s break down these changes into digestible sections, providing code snippets and detailed explanations for each part.
Setting Up the Environment
The updated code begins by setting a custom directory for transformers models and addressing a warning regarding symlinks, ensuring smoother operation on specific systems like Windows.
import os
os.environ["HF_HOME"] = 'E:/torch'
os.environ["HF_HUB_DISABLE_SYMLINKS_WARNING"] = 'true'
Enhanced Project Structure
A ChessNetwork
class was introduced to manage game sessions and handle network communications. This class uses Python's socket programming to accept connections and process incoming data, such as game moves or new player joins.
class ChessNetwork:
def __init__(self, host, port)…