To perform transcription, follow these steps:
- Load a
WhisperContext using WhisperContext::new_with_params and a path to a model file. - Create a
FullParams object using a SamplingStrategy (e.g., SamplingStrategy::Greedy). - Create a state using
ctx.create_state(). - Run the model on audio data (32-bit floating point samples, 16KHz, mono) using
state.full(params, &audio_data). - Iterate through segments using
state.full_n_segments() and retrieve text and timestamps via full_get_segment_text, full_get_segment_t0, and full_get_segment_t1.
use whisper_rs::{WhisperContext, WhisperContextParameters, FullParams, SamplingStrategy};
fn main() {
let path_to_model = std::env::args().nth(1).unwrap();
// load a context and model
let ctx = WhisperContext::new_with_params(
path_to_model,
WhisperContextParameters::default()
).expect("failed to load model");
// create a params object
let params = FullParams::new(SamplingStrategy::Greedy { best_of: 1 });
// assume we have a buffer of audio data
// here'll make a fake one, floating point samples, 32 bit, 16KHz, mono
let audio_data = vec![0_f32; 16000 * 2];
// now we can run the model
let mut state = ctx.create_state().expect("failed to create state");
state
.full(params, &audio_data[..])
.expect("failed to run model");
// fetch the results
let num_segments = state
.full_n_segments()
.expect("failed to get number of segments");
for i in 0..num_segments {
let segment = state
.full_get_segment_text(i)
.expect("failed to get segment");
let start_timestamp = state
.full_get_segment_t0(i)
.expect("failed to get segment start timestamp");
let end_timestamp = state
.full_get_segment_t1(i)
.expect("failed to get segment end timestamp");
println!("[{} - {}]: {}", start_timestamp, end_timestamp, segment);
}
}
