An intelligent code helper application built with Streamlit that combines a live code editor, terminal execution, and AI-powered assistance for multiple programming languages.

• 📝 Interactive Code Editor - Syntax highlighting for Python, JavaScript, Java, C++, and Go
• ⚡ Live Code Execution - Run Python code instantly with real-time output
• 🤖 AI Assistant - Get intelligent help with coding questions and debugging
• 💬 Chat Interface - Persistent conversation history with context awareness
• 🔧 Terminal Integration - Execute code with proper error handling and timeout protection
• 🎛️ Customizable Settings - Toggle between explanation modes and clear chat history

Clean and intuitive interface with code editor, terminal, and chat

Structured responses with analysis, code fixes, and explanations

1. Clone the repository

git clone https://github.com/hari7261/CodeMaster-LLM.git
cd CodeMaster-LLM

1. Install dependencies

pip install -r requirements.txt

1. Install Ollama (for AI functionality)
   • Download from ollama.ai
   • Install the required model:

ollama pull gemma3

1. Run the application

streamlit run app.py

Create a requirements.txt file with:

streamlit>=1.46.0
ollama>=0.5.0
streamlit-code-editor>=0.1.22

1. Code Editor: Write your code in the left panel with syntax highlighting
2. Run Code: Click "Run Code" to execute Python scripts in the terminal
3. AI Chat: Ask questions about programming, get code fixes, and explanations
4. Settings: Toggle explanation modes and manage chat history

The AI provides structured responses:

• Analysis: Problem identification
• Explanation: What's wrong and why
• Code: Clean solution with minimal comments
• Implementation: How the fix works
• Summary: Key takeaways

• Problem: Quick issue identification
• Code: Direct solution
• Summary: Brief explanation

• Python Path: Automatically detects your Python installation
• Timeout: 10-second execution limit for safety
• Languages: Support for Python execution (others for syntax highlighting)
• AI Model: Uses Gemma3 via Ollama

CodeMaster-LLM/
├── app.py              # Main Streamlit application
├── requirements.txt    # Python dependencies
├── README.md          # Project documentation
├── screenshot1.png    # Interface screenshot
└── screenshot2.png    # AI assistant screenshot

1. Fork the repository
2. Create a feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

This project is licensed under the MIT License - see the LICENSE file for details.

• Streamlit - For the amazing web framework
• Ollama - For local AI model execution
• streamlit-code-editor - For the code editor component

Hariom Kumar - @hari7261

Project Link: https://github.com/hari7261/CodeMaster-LLM

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