VSCode add-on for generating python docstrings with an LLM backend

Important: You need to run an LLM instance for this add-on to work. See Usage below.

Visual Studio Code extension to quickly generate docstrings for python functions using AI(NLP) technology. This project is forked from graykode/ai-docstring. Main difference is that this version uses a quantized version of Mistral-AI's 7B model and attempts to produce a complete docstring including variable types and descriptions according to the chosen template.

Demo (real time, using Google Colab T4 runtime as backend):

demo.mp4

Docstring Formats

• Google (default)
• docBlockr
• Numpy
• Sphinx

Usage

Backend:

(1) ngrok & google colab solution

1. Create ngrok and google colab accounts.
2. Open the server notebook on google colab.
3. Replace <authtoken> with your ngrok authtoken in the second cell and uncomment the corresponding line
4. Run all cells
5. Copy the ngrok address (without https) into the extension settings llmdocstring.ServerEndpoint

(2) local

1. Recommended: Create a new python environment with python version 3.9 and activate
2. In the directory server, run pip install -r requirements.txt
3. Check llama-cpp-python installation page to install llama-cpp-python according to your hardware.
4. Run python llmserver.py
5. Copy 127.0.0.1:5000 into the extension settings llmdocstring.ServerEndpoint

on vscode:

Cursor must be on the line directly below the definition to generate full auto-populated docstring

• Press enter after opening docstring with triple quotes (""" or ''')
• Keyboard shortcut: ctrl+shift+2 or cmd+shift+2 for mac
  • Can be changed in Preferences -> Keyboard Shortcuts -> extension.generateDocstring
• Command: Generate Docstring
• Right click menu: Generate Docstring