use std::path::PathBuf;
use micro_wakeword::{AUDIO_BLOCK_SAMPLES, Detector, Runtime};
fn main() -> Result<(), Box<dyn std::error::Error>> {
let mut args = std::env::args_os().skip(1);
let config = PathBuf::from(
args.next()
.ok_or("usage: custom_runtime CONFIG.json TENSORFLOW_LITE_LIBRARY")?,
);
let library = PathBuf::from(args.next().ok_or("missing TensorFlow Lite library path")?);
let mut detector = Detector::from_config_with_runtime(config, Runtime::from_path(&library))?;
detector.process_audio(&[0; AUDIO_BLOCK_SAMPLES])?;
println!(
"Loaded '{}' using {}",
detector.config().wake_word,
library.display()
);
Ok(())
}