AI Auto Coder Collection 🚀

DeepSeek R1 Versions:

1. deep_seek_auto_coder.py - Safe version that only generates code
2. deep_seek_auto_coder_executor.py - ⚠️EXECUTES AI-GENERATED CODE ON YOUR MACHINE

OpenAI O1 Versions:

3. o1_auto_coder.py - Safe version that only generates code
4. o1_auto_coder_executor.py - ⚠️EXECUTES AI-GENERATED CODE ON YOUR MACHINE

If you're not comfortable with code execution, use the safe versions (deep_seek_auto_coder.py or o1_auto_coder.py).

An intelligent code generation and improvement system that automatically generates, iteratively improves, and enhances Python code based on your requirements, with a special focus on creating visually stunning applications without external dependencies.

Model Options 🤖

DeepSeek R1:

• Available through OpenRouter
• Specialized in code generation
• Requires OpenRouter API key

OpenAI O1:

• Available through OpenAI
• Can also use o1-mini or gpt-4o variants
• Requires OpenAI API key
• Generally faster response times

Features ✨

• 🎨 Specialized in generating visually appealing applications
• 🔄 Iterative code improvement system
• 🛠️ Automatic code generation from text descriptions
• 📝 Clean, documented, and well-structured code output
• 🎮 Perfect for games, GUIs, and visual applications
• 🔒 No external file dependencies - everything is generated programmatically
• 🎯 Multiple iterations of improvements
• 🌈 Colored terminal output for better visibility

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Prerequisites 📋

• Python 3.x
• OpenRouter API key (for DeepSeek versions)
• OpenAI API key (for O1 versions)

Installation 🔧

1. Clone the repository:

git clone <repository-url>
cd <repository-name>

2. Install required packages:

pip install -r requirements.txt

3. Set up your API key as an environment variable:

# For DeepSeek versions (Windows)
set OPENROUTER_API_KEY=your_api_key_here

# For O1 versions (Windows)
set OPENAI_API_KEY=your_api_key_here

# For DeepSeek versions (Linux/Mac)
export OPENROUTER_API_KEY=your_api_key_here

# For O1 versions (Linux/Mac)
export OPENAI_API_KEY=your_api_key_here

Usage 💻

1. Choose your preferred version and configure:

# User Configuration
USER_PROMPT = "Your detailed Python program description"
NUMBER_OF_ITERATIONS = 3  # Number of improvement iterations
MODEL = "o1"  # For O1 versions, can also use "o1-mini" or "gpt-4o"

2. Run your chosen version:

# DeepSeek versions
python deep_seek_auto_coder.py
python deep_seek_auto_coder_executor.py

# O1 versions
python o1_auto_coder.py
python o1_auto_coder_executor.py

3. Find your generated code in the generated_code folder:

• generated_code_v0.py: Initial generation
• generated_code_v1.py to generated_code_vN.py: Improved iterations

Version Comparison 🔄

Safe Versions (deep_seek_auto_coder.py & o1_auto_coder.py):

• Generate and improve code without execution
• Save all iterations to files
• No system access or security risks
• Best for initial development and exploration
• Choose between DeepSeek R1 or OpenAI O1 models

Executor Versions (deep_seek_auto_coder_executor.py & o1_auto_coder_executor.py):

• ⚠️ EXECUTE CODE ON YOUR SYSTEM
• Automatically test generated code
• Detect and fix runtime errors
• 5-second timeout for each execution
• Include error correction agent
• Only save working versions
• More efficient iteration process
• Choose between DeepSeek R1 or OpenAI O1 models

How It Works 🔄

Safe Version:

1. Initial Generation: Creates base code from your prompt
2. Iterative Improvement: Enhances the code through multiple iterations
3. Visual Focus: Emphasizes beautiful, programmatically generated visuals
4. Code Organization: Maintains clean structure and documentation
5. Progress Tracking: Shows colored progress in the terminal

Executor Version:

1. Code Generation: Creates initial code from prompt
2. Execution Testing: Runs code with 5-second timeout
3. Error Detection: Captures and analyzes runtime errors
4. Automatic Fixing: Uses AI to fix detected errors
5. Verification: Tests fixed code before proceeding
6. Improvement: Enhances working code
7. Safety Features: Process isolation, timeout, cleanup

Example Prompts 📝

# Game Development
USER_PROMPT = "create a beautiful tower defense game in pygame. do not use outside assets. all assets should be created within pygame"

# GUI Application
USER_PROMPT = "create a modern calculator with a beautiful dark theme using tkinter"

# Data Visualization
USER_PROMPT = "create an interactive bar chart race visualization using pygame"

Features of Generated Code 🎯

• ✅ Complete error handling with descriptive messages
• ✅ Defensive programming practices
• ✅ Edge case handling
• ✅ Resource cleanup and management
• ✅ Proper documentation
• ✅ Clean code structure
• ✅ Programmatically generated assets
• ✅ No external file dependencies
• ✅ Beautiful visuals and animations
• ✅ Performance optimizations

Notes 📌

• All visual assets are created programmatically - no external files needed
• Each iteration builds upon the previous one
• The system includes rate limiting to prevent API overload
• Progress is saved after each iteration
• Uses UTF-8 encoding for file operations
• Comprehensive error detection and prevention
• Defensive programming approach
• Visual feedback for errors
• Proper resource management

Error Handling 🚨

The script includes comprehensive error handling for:

• Runtime errors and edge cases
• Resource management and cleanup
• State transitions and validation
• User input and parameters
• Visual elements and animations
• Memory management
• API connection issues
• Code generation failures
• File operations
• Code extraction problems