Selkie – Opinionated TUI Framework for Raku
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Re: Selkie – Opinionated TUI Framework for Raku
#2[dead]
Re: Selkie – Opinionated TUI Framework for Raku
#3I tried this on macOS … very smooth install and looks great.
But why would I switch to Raku just to get a TUI framework?
Re: Selkie – Opinionated TUI Framework for Raku
#4I tried this on macOS … very smooth install and looks great. But why would I switch to Raku just to get a TUI framework?
The tl;dr is: because you want native performance and don't want to focus on blitting pixels or terminal internals.
Selkie has an event/effect model similar to Elm & re-frame, you just declare your widgets and renders/updates are handled by the lib.
As for why Raku:
- grammars allow for easy parsing of complex DSLs
- supply/tap are a natural fit for the event/effect model, asynchronous thread-safe programming
- roles make composing widgets simple
- it's fun to write :D
Re: Selkie – Opinionated TUI Framework for Raku
#5I tried this on macOS … very smooth install and looks great. But why would I switch to Raku just to get a TUI framework?
The tl;dr is: because you want native performance and don't want to focus on blitting pixels or terminal internals. Selkie has an event/effect model similar to Elm & re-frame, you just declare your widgets and renders/updates are handled by the lib. As for why Raku: - grammars allow for easy parsing of complex DSLs - supply/tap are a natural fit for the event/effect model, asynchronous thread-safe programming - roles…
Ok cool, thanks!
Re: Selkie – Opinionated TUI Framework for Raku
#6Oh 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…
Re: Selkie – Opinionated TUI Framework for Raku
#7Oh 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…
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.
Re: Selkie – Opinionated TUI Framework for Raku
#8Earlier quoted context omitted.
The tl;dr is: because you want native performance and don't want to focus on blitting pixels or terminal internals. Selkie has an event/effect model similar to Elm & re-frame, you just declare your widgets and renders/updates are handled by the lib. As for why Raku: - grammars allow for easy parsing of complex DSLs - supply/tap are a natural fit for the event/effect model, asynchronous thread-safe programming - roles…
Ok cool, thanks!
np, what kind of TUIs do you write?
Re: Selkie – Opinionated TUI Framework for Raku
#9Oh 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…
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
Re: Selkie – Opinionated TUI Framework for Raku
#10Oh 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…
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/…
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