lukechilds on Nostr: humanscript is an inferpreter. A script interpreter that infers commands from natural ...
humanscript is an inferpreter. A script interpreter that infers commands from natural language using AI. There is no predefined syntax, humanscripts just say what they want to happen, and when you execute them, it happens.
https://github.com/lukechilds/humanscriptThis is a humanscript called tidy-screenshots. It takes an unorganised directory of screenshots and organises them into directories based on the month the screenshot was taken.
It can be executed like any other script.
The LLM inferpreted the humanscript into the following bash script at runtime.
The code is streamed out of the LLM during inferpretation and executed line by line so execution is not blocked waiting for inference to finish. The generated code is cached on first run and will be executed instantly on subsequent runs, bypassing the need for reinferpretation.
The humanscript inferpreter supports a wide range of LLM backends. It can be used with cloud hosted LLMs like OpenAI's GTP-3.5 and GPT-4 or locally running open source LLMs like Llama 2.
You can run humanscript in a sandboxed Docker environment with a single command if you want to have a play.
https://github.com/lukechilds/humanscript#install-humanscriptPublished at
2023-08-07 12:43:44Event JSON
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"content": "humanscript is an inferpreter. A script interpreter that infers commands from natural language using AI. There is no predefined syntax, humanscripts just say what they want to happen, and when you execute them, it happens.\n\nhttps://github.com/lukechilds/humanscript\n\nThis is a humanscript called tidy-screenshots. It takes an unorganised directory of screenshots and organises them into directories based on the month the screenshot was taken.\n\nIt can be executed like any other script.\n\nhttps://void.cat/d/Rf3GkVQbCtg6NSfzUndkou.webp\n\nThe LLM inferpreted the humanscript into the following bash script at runtime.\n\nhttps://void.cat/d/Br86EpyZev12HtsxtYka3i.webp\n\nThe code is streamed out of the LLM during inferpretation and executed line by line so execution is not blocked waiting for inference to finish. The generated code is cached on first run and will be executed instantly on subsequent runs, bypassing the need for reinferpretation.\n\n\nhttps://void.cat/d/CCLBU6ZNWq5bXnioMGkkcB.webp\n\nThe humanscript inferpreter supports a wide range of LLM backends. It can be used with cloud hosted LLMs like OpenAI's GTP-3.5 and GPT-4 or locally running open source LLMs like Llama 2.\n\nYou can run humanscript in a sandboxed Docker environment with a single command if you want to have a play.\n\nhttps://github.com/lukechilds/humanscript#install-humanscript",
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