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Game Agents ·Advanced

AI 3D PyGame Visualizer with DeepSeek R1

About this app

This Project demonstrates R1's code capabilities with a PyGame code generator and visualizer with browser use. The system uses DeepSeek for reasoning, OpenAI for code extraction, and browser automation agents to visualize the code on Trinket.io.

  • Complete open-source code
  • Step-by-step tutorial

Technical sheet

Category
Game Agents
Difficulty
Advanced
Models
OpenAI, DeepSeek
Frameworks
Agno
Runs locally?
Needs cloud APIs
Required keys
None

License Apache-2.0 · content curated and maintained by Doutor AI.

Full tutorial

🎓 FREE Step-by-Step Tutorial

👉 Click here to follow our complete step-by-step tutorial and learn how to build this from scratch with detailed code walkthroughs, explanations, and best practices.

This Project demonstrates R1's code capabilities with a PyGame code generator and visualizer with browser use. The system uses DeepSeek for reasoning, OpenAI for code extraction, and browser automation agents to visualize the code on Trinket.io.

Features

  • Generates PyGame code from natural language descriptions
  • Uses DeepSeek Reasoner for code logic and explanation
  • Extracts clean code using OpenAI GPT-4o
  • Automates code visualization on Trinket.io using browser agents
  • Provides a streamlined Streamlit interface
  • Multi-agent system for handling different tasks (navigation, coding, execution, viewing)

How to get Started?

  1. Clone the GitHub repository
git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
cd awesome-llm-apps/advanced_ai_agents/autonomous_game_playing_agent_apps/ai_3dpygame_r1
  1. Install the required dependencies:
pip install -r requirements.txt
  1. Get your API Keys
  • Sign up for DeepSeek and obtain your API key
  • Sign up for OpenAI and obtain your API key
  1. Run the AI PyGame Visualizer
streamlit run ai_3dpygame_r1.py
  1. Browser use automatically opens your web browser and navigate to the URL provided in the console output to interact with the PyGame generator.

How it works?

  1. Query Processing: User enters a natural language description of the desired PyGame visualization.
  2. Code Generation:
  • DeepSeek Reasoner analyzes the query and provides detailed reasoning with code
  • OpenAI agent extracts clean, executable code from the reasoning
  1. Visualization:
  • Browser agents automate the process of running code on Trinket.io
  • Multiple specialized agents handle different tasks:
  • Navigation to Trinket.io
  • Code input
  • Execution
  • Visualization viewing
  1. User Interface: Streamlit provides an intuitive interface for entering queries, viewing code, and managing the visualization process.

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