Crate markovify_rs 

markovify-rs

A Rust implementation of a Markov chain text generator, inspired by markovify.

Markovify-rs is a simple, extensible Markov chain generator. Its primary use is for building Markov models of large corpora of text and generating random sentences from that.

Basic Usage

use markovify_rs::Text;

// Build the model
let text = "Hello world. This is a test. The quick brown fox jumps.";
let model = Text::new(text, 2, true, true, None).unwrap();

// Generate a random sentence
if let Some(sentence) = model.make_sentence(None, None, None, None, None, None, None) {
    println!("{}", sentence);
}

// Generate a short sentence
if let Some(sentence) = model.make_short_sentence(100, None, None, None, None, None, None, None, None) {
    println!("Short: {}", sentence);
}

Features

• Configurable state size
• Sentence generation with overlap detection
• Model compilation for faster generation
• Model combination with weights
• JSON export/import for persistence
• Newline-delimited text support

Re-exports

pub use chain::Chain;

pub use chain::BEGIN;

pub use chain::END;

pub use errors::MarkovError;

pub use errors::Result;

pub use splitters::split_into_sentences;

pub use text::NewlineText;

pub use text::Text;

pub use utils::combine_chains;

pub use utils::combine_models;

pub use utils::combine_texts;

pub use utils::CombinedResult;

pub use utils::ModelRef;

Modules

chain

Markov chain implementation

errors

Error types for markov-rs

splitters

Sentence splitting utilities

text

Text processing and sentence generation

utils

Utility functions for combining models

Constants

VERSION

Library version