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This code defines a Ruby class `SemioticFeatureTextGenerator` that inherits from `Sublayer::Generators::Base`. The class uses the `llm_output_adapter` macro to specify that it produces a single string output, named 'generated_text', based on semiotic feature analysis. The class is initialized with a description and a set of features. It includes a `generate` method which calls a `super` method (likely from its parent class) and a `prompt` method that generates a textual prompt for semiotic analysis based on the given description and features.
class SemioticFeatureTextGenerator < Sublayer::Generators::Base
llm_output_adapter type: :single_string,
name: "generated_text",
description: "The generated text based on semiotic feature analysis"
def initialize(description:, features:)
@description = description
@features = features
end
def generate
super
end
def prompt
<<-PROMPT
You are an expert in semiotic analysis.
You are tasked with writing text using the following semiotic features: #{@features.join(", ")}.
The description of the task is #{@description}
Take a deep breath and think step by step before you start writing.
PROMPT
end
end
Try a prompt
Original Prompt:
"a sublayer generator that generates text based on semiotic feature analysis "