AutoDoc-ChatGPT is a Python script designed to automatically generate documentation for source code files across various programming languages using the ChatGPT API. It targets developers seeking to streamline the documentation process, offering a quick way to create natural language descriptions of code functionality, parameters, and return values.

How It Works

The script processes a given code file, extracts relevant code snippets, and sends them to the ChatGPT API for analysis and documentation generation. It aims to produce detailed descriptions in natural language, acting as a draft for developers to refine. The approach leverages large language models to understand code context and generate human-readable explanations.

Quick Start & Requirements

• Install: pip install -r requirements.txt
• Prerequisites: Python 3.x, OpenAI API access (via email/password or session token).
• Usage: py main.py -file "path/to/your/file"
• Output: yourfilename_commented.language file is created.
• Documentation: GitHub Repository

Highlighted Details

• Supports Python, JavaScript, and TypeScript (with known bugs in JS/TS).
• Can be used as a Python function for programmatic integration.
• Requires configuration of ChatGPT credentials (email/password or session token).
• Generates commented files with a _commented suffix.

Maintenance & Community

• The project acknowledges acheong08 for ChatGPT creation.
• No specific community channels or roadmap are detailed in the README.

Licensing & Compatibility

• License: MIT License.
• Compatibility: Permissive for commercial use and closed-source linking.

Limitations & Caveats

The tool does not always produce correct or desired comments and should be used as a draft requiring manual editing. There's a known issue with commenting files containing multiple classes with identically named methods. JavaScript and TypeScript support is still under testing with reported bugs.