Big fan of your work with the LLM tool. I have a cool use for it that I wanted to share with you (on mac).
First, I created a quick action in Automator that recieves text. Then I put together this script with the help of ChaptGPT:
escaped_args=""
for arg in "$@"; do
escaped_arg=$(printf '%s\n' "$arg" | sed "s/'/'\\\\''/g")
escaped_args="$escaped_args '$escaped_arg'"
done
result=$(/Users/XXXX/Library/Python/3.9/bin/llm -m gpt-4 $escaped_args)
escapedResult=$(echo "$result" | sed 's/\\/\\\\/g' | sed 's/"/\\"/g' | awk '{printf "%s\\n", $0}' ORS='')
osascript -e "display dialog \"$escapedResult\""
Now I can highlight any text in any app and invoke `LLM` under the services menu, and get the llm output in a nice display dialog. I've even created a keyboard shortcut for it. It's a game changer for me. I use it to highlight terminal errors and perform impromptu searches from different contexts. I can even prompt LLM directly from any text editor or IDE using this method.
Big fan of your work with the LLM tool. I have a cool use for it that I wanted to share with you (on mac).
First, I created a quick action in Automator that recieves text. Then I put together this script with the help of ChaptGPT:
Now I can highlight any text in any app and invoke `LLM` under the services menu, and get the llm output in a nice display dialog. I've even created a keyboard shortcut for it. It's a game changer for me. I use it to highlight terminal errors and perform impromptu searches from different contexts. I can even prompt LLM directly from any text editor or IDE using this method.