Crates.io | wordcloud-rs |
lib.rs | wordcloud-rs |
version | 0.1.15 |
source | src |
created_at | 2022-12-04 20:29:52.940299 |
updated_at | 2024-10-30 09:51:47.75297 |
description | A word-cloud image generation crate. |
homepage | |
repository | https://github.com/Inspirateur/wordcloud-rs |
max_upload_size | |
id | 729770 |
size | 350,005 |
A Rust library to generate word-clouds from text and images!
use std::collections::HashMap;
use std::fs;
use lazy_static::lazy_static;
use regex::Regex;
use wordcloud_rs::*;
lazy_static! {
static ref RE_TOKEN: Regex = Regex::new(r"\w+").unwrap();
}
fn tokenize(text: String) -> Vec<(Token, f32)> {
let mut counts: HashMap<String, usize> = HashMap::new();
for token in RE_TOKEN.find_iter(&text) {
*counts.entry(token.as_str().to_string()).or_default() += 1;
}
counts.into_iter().map(|(k, v)| (Token::Text(k), v as f32)).collect()
}
fn main() {
// Prepare the tokens
let text = fs::read_to_string("assets/sample_text.txt").unwrap();
let mut tokens = tokenize(text);
tokens.push((Token::from("assets/alan_turing.jpg"), 15.));
tokens.push((Token::from("assets/turing_statue_bletchley.jpg"), 20.));
tokens.push((Token::Text("💻".to_string()), 20.));
// Generate the word-cloud
let wc = WordCloud::new().generate(tokens);
// Save it
wc.save("sample_cloud.png").unwrap();
}