Skip to content
/ yolox Public

🤞 Use AI language models to write one-liner shell commands, then execute them.

Notifications You must be signed in to change notification settings

zeke/yolox

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

38 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

yolox 🤞

Use AI language models to write one-liner shell commands, then execute them.

Examples

$ yolox list all files in the current directory, sorted by human size
# ls -lhS
$ yolox rename all jpeg files to jpg
# for file in *.jpeg; do mv "$file" "${file%.jpeg}.jpg"; done
$ yolox extract from 0:30 to 1:22 from video.mp4 and save it as audio.m4a
# ffmpeg -i video.mp4 -ss 00:00:30 -to 00:01:22 -vn -acodec copy audio.m4a
$ yolox create slideshow.mp4 from all the jpg files in the current directory with one second for each slide
# ffmpeg -framerate 1 -pattern_type glob -i '*.jpg' slideshow.mp4
$ yolox "add 100px white padding around dots.png and save it as dots-with-room.png"
# convert dots.png -bordercolor white -border 100 dots-with-room.png

You can also pass a file containing the prompt. This lets you write long prompts and iterate on them without retyping:

echo "do some stuff" > PROMPT.md
$ yolox PROMPT.md

Caution

This tool should be used with caution. It's called "YOLO X" because it's dangerous. yolo as in "you only live once" and x as in "execute this code". It lets an AI write code for you, then blindly executes that code on your system. There are a few guardrails in its prompt to prevent the result from taking destructive actions like deleting files or directories, but there's always still a danger that the resulting commands will have unintended consequences. You've been warned!

Installation

npm i -g yolox

or you can just invoke it directly with npx:

npx yolox@latest "use ffmpeg to convert foo.mkv to foo.mp4"

Usage

yolox <prompt-string-or-filename-containing-prompt-string>

yolox supports GPT4o on OpenAI and Llama 3 on Replicate.

To add support for other models or providers, open a pull request!

OpenAI Usage (GPT4o)

Set your OpenAI API key in the environment:

export OPENAI_API_KEY="..."

Then give it a command and it will execute it:

yolox "extract audio from maths.mp4 and save it as maths.m4a"
# ffmpeg -i maths.mp4 -vn -acodec copy maths.m4a

Replicate Usage (Llama 3)

Set your Replicate token in the environment:

export REPLICATE_API_TOKEN="r8_..."

Then specify model as a flag set to llama (which uses meta/meta-llama-3.1-405b-instruct):

yolox "extract audio from maths.mp4 and save it as maths.m4a" --model=llama
# ffmpeg -i maths.mp4 -vn -acodec copy maths.m4a

Print mode

Print the command but don't execute it:

yolox --print "extract audio from maths.mp4 and save it as maths.m4a"
ffmpeg -i maths.mp4 -vn -acodec copy maths.m4a

Alternatives

GitHub Copilot CLI is a paid offering from GitHub that works similarly to yolox, but is safer. Rather than running the generated command, it shows you the command and gives you some options:

$ gh copilot suggest -t shell "list all files"

Suggestion:

  ls -a

? Select an option  [Use arrows to move, type to filter]
> Copy command to clipboard
  Explain command
  Revise command
  Rate response
  Exit

License

MIT

About

🤞 Use AI language models to write one-liner shell commands, then execute them.

Resources

Stars

Watchers

Forks

Packages

No packages published