use std::collections::HashSet;
use wcloud::{Tokenizer, WordCloud, WordCloudSize, Word, DEFAULT_EXCLUDE_WORDS_TEXT};
use nanorand::{Rng, WyRand};
use palette::{Pixel, Srgb, Hsl, IntoColor};
use image::{ImageFormat, Rgba};
use std::time::Instant;
fn main() {
let script_text = include_str!("tlou2.txt")
.replace("HAN", "Han")
.replace("LUKE'S", "Luke");
let mut filter = DEFAULT_EXCLUDE_WORDS_TEXT.lines()
.collect::<HashSet<_>>();
let exclude_words = [
"oh", "alright", "okay", "gonna", "go", "c'mon", "hey", "em",
"maybe", "uh", "Well", "ya", "yeah", "let", "see", "didn",
"re", "s", "come", "got", "ll", "right", "ve", "don", "t", "C"
];
for word in exclude_words {
filter.insert(word);
}
let tokenizer = Tokenizer::default()
.with_max_words(1000)
.with_filter(filter)
.with_min_word_length(2);
let max_font_size = Some(150.0);
let wordcloud = WordCloud::default()
.with_tokenizer(tokenizer)
.with_word_margin(10)
.with_min_font_size(20.0)
.with_relative_font_scaling(0.25)
.with_background_color(Rgba([0, 0, 0, 0]));
let mask_buf = include_bytes!("mask.png");
let mask_image = image::load_from_memory_with_format(mask_buf, ImageFormat::Png)
.expect("Unable to load mask from memory")
.to_luma8();
let mask = WordCloudSize::FromMask(mask_image);
let color_func = |word: &Word, _rng: &mut WyRand| {
let freq = (word.frequency * 100.0) as u8;
let saturation = (200.0 - word.index as f32) / 200.0;
let saturation = match word.index {
0..=10 => 1.0,
11..=20 => 0.9,
21..=30 => 0.8,
31..=40 => 0.75,
41..=50 => 0.7,
51..=70 => 0.6,
71..=100 => 0.5,
101..=200 => 0.4,
201..=300 => 0.3,
_ => 0.2,
};
let col = Hsl::new(136.0, saturation, 0.5);
let rgb: Srgb = col.into_color();
let raw: [u8; 3] = rgb.into_format()
.into_raw();
Rgba([raw[0], raw[1], raw[2], 1])
};
let now = Instant::now();
let wordcloud_image = wordcloud.generate_from_text_with_color_func(&script_text, mask, 1.0, color_func);
println!("Generated in {}ms", now.elapsed().as_millis());
wordcloud_image.save("examples/tlou2/tlou2.png")
.expect("Unable to save image");
}