AI-Supported Code Editor

A lightweight code editor with AI assistance, built using Streamlit.

Features

• File Navigation: Browse and edit code files in a project directory with an enhanced tree view (nested)
• AI Assistant: Chat with an AI assistant (OpenAI or Anthropic) for code suggestions, debugging, and explanations
• Code Execution: Run Python code directly in the editor and capture outputs
• Syntax Highlighting: View code with syntax highlighting for better readability
• Web Search: Search the internet for documentation and examples
• AI Commands: Use special commands like /improve and /explain to get targeted AI assistance
• Modern UI: Clean, VS Code-inspired interface with customizable layout

Project Structure

codeeditor/
├── src/
│   ├── codeeditor/        # Core package code
│   ├── streamlit_app.py   # Streamlit application entry point
│   └── main.py           # Main application module
├── tests/                # Test suite
├── docs/                # Documentation
├── requirements.txt     # Project dependencies
└── pyproject.toml      # Project metadata and build configuration

Installation

# Clone the repository from Gitea
git clone https://https://gitea.fhgr.ch/pengniklas/codeeditor.git
cd codeeditor

# Create and activate virtual environment (Windows)
python -m venv venv
.\venv\Scripts\activate

# On macOS/Linux
# python -m venv venv
# source venv/bin/activate

# Install the package in development mode
pip install -e .

# Install additional dependencies
pip install -r requirements.txt

Configuration

1. Copy the example environment file:

cp src/codeeditor/env_example .env

2. Edit the .env file with your API keys:

# AI Provider Configuration
# Set to "anthropic"
AI_PROVIDER=anthropic

# Anthropic API Configuration (if using Anthropic)
ANTHROPIC_API_KEY=your_anthropic_api_key_here
ANTHROPIC_MODEL=claude-3-opus-20240229

# Search API Configuration (Google Custom Search)
SEARCH_API_KEY=your_google_api_key_here
SEARCH_ENGINE_ID=your_search_engine_id_here

Usage

# Run the application using Streamlit
streamlit run src/streamlit_app.py

# Or directly using the module
python -m src.main

How to Use

1. Navigate Files: Use the file explorer in the left sidebar to browse your project files
2. Edit Code: Select a file to open it in the editor, make changes, and save
3. Execute Code: For Python files, click "Run Code" to execute and see the output
4. AI Assistance: Use the chat interface in the right sidebar to ask the AI for help with your code
5. Web Search: Search for documentation or examples directly from the editor
6. AI Commands: Use special commands in the chat:
   • /improve - Get suggestions to improve the current file's code
   • /explain - Get a detailed explanation of how the current file's code works
   • /help - Show available commands
   • /clear - Clear the chat history

Layout

The application has a three-column layout:

• Left Sidebar: File explorer with file operations (new, save, delete)
• Main Area: Code editor with syntax highlighting
• Right Sidebar: AI Assistant with chat interface and quick action buttons

Choosing an AI Provider

The application supports one AI providers:

1. Anthropic: Uses Claude models for AI assistance
   • Set AI_PROVIDER=anthropic in your .env file
   • Provide your Anthropic API key in the ANTHROPIC_API_KEY field

Development

# Install development dependencies
pip install -e ".[dev]"

# Set up pre-commit hooks
pre-commit install

# Run tests
pytest

# Run linting
flake8

License

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