Selkie – Opinionated TUI Framework for Raku

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	Selkie – Opinionated TUI Framework for Raku (github.com)
	7 points by apogee 61 days ago

3 comments

davidschultz 61 days ago

Nice. To get your dependency Notcurses::Native built via zef on my OpenSUSE Tumbleweed, I had to run

zypper in ffmpeg-7-libavdevice-devel ffmpeg-7-libavutil-devel ffmpeg-7-libavcodec-devel libunistring-devel libdeflate-devel

which pulled in several dependencies, resulting in the overall package list:

ffmpeg-7-libavcodec-devel ffmpeg-7-libavutil-devel ffmpeg-7-libswresample-devel ffmpeg-7-libavformat-devel ffmpeg-7-libavdevice-devel ffmpeg-7-libavfilter-devel ffmpeg-7-libpostproc-devel ffmpeg-7-libswscale-devel libdeflate-devel libunistring-devel

Maybe just a subset of these is necessary. Conversely, I've already had ffmpeg-7 and libavcodec57 and a number of other devel packages installed from before, so some other packages might also be neccessary. Still, this might help you in adding instructions for installing your Notcurses::Native on OpenSUSE.

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apogee 60 days ago

Thanks, I will get this into the next version of the Readme, I think the minimum would be roughly:

  sudo zypper in \                                                                                                                                                         
    ncurses-devel libunistring-devel libdeflate-devel \                                                                                                                    
    ffmpeg-7-libavcodec-devel ffmpeg-7-libavformat-devel \                                                                                                                 
    ffmpeg-7-libavutil-devel ffmpeg-7-libavdevice-devel \                                                                                                                  
    ffmpeg-7-libswscale-devel \                                                                                                                                            
    cmake pkg-config gcc

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apogee 60 days ago

I've set up GitHub actions to prebuild all the deps so on any modern Mac/Windows/Linux it should just be 'zef install selkie' now.

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librasteve 61 days ago

Oh I found this https://raku.land/zef:antononcube/DSL::Examples

So Raku has a module for “few shot” LLM training for DSLs … would be cool to see an example DSL interpreter in Selkie (eg a window for DSL code and a window for output…

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antononcube 61 days ago

There is a set of Raku modules that leverage LLMs for different tasks (mostly code generation) using different techniques:

- https://raku.land/zef:antononcube/LLM::Resources : Uses agentic LLM-graphs with asynchronous execution

- https://raku.land/zef:antononcube/ML::FindTextualAnswer : Finds answers to questions over provided texts (e.g. natural language code generation commands)

- https://raku.land/zef:antononcube/ML::NLPTemplateEngine : Fills-in predefined code templates based on natural language code descriptions/commands

- https://raku.land/zef:antononcube/DSL::Examples : Example translations of natural language commands to executable code

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apogee 61 days ago

I've got a few LLM modules too, mostly for handling context management:

- https://raku.land/zef:apogee/LLM::Character implements CCv3 which is a standard for managing characters (system prompts) and lorebooks (injected snippets)

- https://raku.land/zef:apogee/LLM::Chat handles context shifting for long contexts, sampler settings, templating for text completion & inferencing with or without streaming using supply/tap

- https://raku.land/zef:apogee/LLM::Data::Inference adds retries, JSON parsing & multi-model route handling to LLM::Chat

- https://raku.land/zef:apogee/LLM::Data::Pipeline allows you to declaratively build multi-step pipelines (simple agentic LLM use)

- https://raku.land/zef:apogee/HuggingFace::API is a partial wrapper around HF API for grabbing tokenizers.json & tokenizer_config.json

- https://raku.land/zef:apogee/Template::Jinja2 is a near-complete impl of Jinja2 for parsing LLM text completion templates (can be used for anything you'd use Jinja2 for)

- https://raku.land/zef:apogee/Tokenizers is a thin wrapper around HF tokenizers, for token counting mostly

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apogee 61 days ago

Yeah I have thought about doing this with Roaring::Tags (https://raku.land/zef:apogee/Roaring::Tags) so you type a Roaring::Tags query on one side and it shows the built Raku on the other.

Wouldn't be too difficult:

- FileBrowser widget to get the serialised bitmap.

- MultiLineInput for the query text input.

- ListView to show tags and fields.

- RichText for the AST pretty printer.

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librasteve 61 days ago

I tried this on macOS … very smooth install and looks great.

But why would I switch to Raku just to get a TUI framework?

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apogee 61 days ago

The tl;dr is: because you want native performance and don't want to focus on blitting pixels or terminal internals.