by moonboy

Game template with landing page and waiting room

Test this app for free
20
import logging
from gunicorn.app.base import BaseApplication
from app_init import create_initialized_flask_app

# Setup logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

# Flask app creation should be done by create_initialized_flask_app to avoid circular dependency problems.
app = create_initialized_flask_app()

class StandaloneApplication(BaseApplication):
    def __init__(self, app, options=None):
        self.application = app
        self.options = options or {}
        super().__init__()

    def load_config(self):
        # Apply configuration to Gunicorn
        for key, value in self.options.items():
            if key in self.cfg.settings and value is not None:
                self.cfg.set(key.lower(), value)

    def load(self):
Get full code

Created: | Last Updated:

Nice little template to build multiplayer games with the waiting room already completed. Allows you to share links to a game room other to join the game and so forth.

Here's a step-by-step guide for using the "Prompts with Friends: Online Image Guessing Game" template in Lazy:

Introduction

The "Prompts with Friends: Online Image Guessing Game" template provides a foundation for creating an online multiplayer game where players take turns writing prompts for image generation and guessing each other's prompts. Players earn points based on the semantic similarity of their guesses to the original prompts.

Getting Started

  1. Click "Start with this Template" to begin using the template in the Lazy Builder interface.

  2. Press the "Test" button to deploy the application and launch the Lazy CLI.

Using the App

Once the app is deployed, you'll receive a dedicated server link to access the game. The game flow typically includes:

  1. Creating a game room
  2. Joining a game room
  3. Waiting for players
  4. Starting the game
  5. Taking turns writing prompts and guessing

Customization Options

You can customize various aspects of the game by modifying the code in the Lazy Builder interface:

  • Adjust the number of rounds
  • Modify scoring rules
  • Change the waiting room layout
  • Customize the game interface

Integrating with an Image Generation API

To fully implement the image generation feature, you'll need to integrate an external image generation API. Here are the general steps:

  1. Sign up for an image generation API service (e.g., DALL-E, Midjourney, or Stable Diffusion)
  2. Obtain an API key from the service
  3. Add the API key as an environment secret in the Lazy Builder
  4. Modify the code to make API calls to the image generation service

Testing and Deployment

After making any changes:

  1. Press the "Test" button again to redeploy the app
  2. Use the provided server link to access and test your game

Remember that all deployment and hosting is handled by Lazy, so you don't need to worry about server setup or environment configuration.



Template Benefits

  1. Engaging Social Gaming Platform: This template provides a foundation for creating an interactive, multiplayer online game that can attract and retain users through its social and creative aspects, potentially leading to increased user engagement and retention.

  2. Scalable Web Application Architecture: The use of Flask, SQLAlchemy, and Gunicorn demonstrates a scalable web application structure that can handle multiple concurrent users, making it suitable for growing user bases and potential monetization through ads or premium features.

  3. Educational Tool for AI and Language Processing: The game concept, which involves generating images from prompts and evaluating semantic similarity, can serve as an educational platform for users to learn about AI image generation and natural language processing in an entertaining way.

  4. Brand Engagement and Marketing: Companies could use customized versions of this game for marketing campaigns, product launches, or brand engagement initiatives, creating themed rooms or challenges related to their products or services.

  5. Data Collection for AI Training: The gameplay generates valuable data on human-generated prompts and their interpretations, which could be used (with proper consent) to improve AI models for image generation, natural language understanding, or semantic analysis.

Technologies

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Optimize SQL Workflows with Lazy AI: Automate Queries, Reports, Database Management and More Optimize SQL Workflows with Lazy AI: Automate Queries, Reports, Database Management and More

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