1 files changed, 52 insertions, 24 deletions
diff --git a/candle-examples/examples/whisper/main.rs b/candle-examples/examples/whisper/main.rs
index c77118f6..6e15fa8a 100644
--- a/candle-examples/examples/whisper/main.rs
+++ b/candle-examples/examples/whisper/main.rs
@@ -10,6 +10,8 @@ use candle::{DType, Device, Tensor};
 use clap::Parser;
 use rand::{distributions::Distribution, SeedableRng};
 use tokenizers::Tokenizer;
+
+mod audio;
 mod model;
 use model::{Config, VarBuilder, Whisper};
 
@@ -38,27 +40,6 @@ const EOT_TOKEN: u32 = 50256;
 const NO_SPEECH_TOKEN: u32 = 50361;
 const NO_TIMESTAMP_TOKEN: u32 = 50362;
 
-#[derive(Parser, Debug)]
-#[command(author, version, about, long_about = None)]
-struct Args {
-    /// Run on CPU rather than on GPU.
-    #[arg(long)]
-    cpu: bool,
-
-    #[arg(long)]
-    weights: String,
-
-    #[arg(long)]
-    input: String,
-
-    #[arg(long)]
-    tokenizer_config: String,
-
-    /// The seed to use when generating random samples.
-    #[arg(long, default_value_t = 299792458)]
-    seed: u64,
-}
-
 #[derive(Debug, Clone)]
 struct DecodingResult {
     tokens: Vec<u32>,
@@ -176,6 +157,35 @@ impl Decode {
     }
 }
 
+#[derive(Parser, Debug)]
+#[command(author, version, about, long_about = None)]
+struct Args {
+    /// Run on CPU rather than on GPU.
+    #[arg(long)]
+    cpu: bool,
+
+    #[arg(long)]
+    weights: String,
+
+    /// The input to be processed, in wav formats.
+    #[arg(long)]
+    input: String,
+
+    #[arg(long)]
+    tokenizer_config: String,
+
+    /// The seed to use when generating random samples.
+    #[arg(long, default_value_t = 299792458)]
+    seed: u64,
+
+    /// The mel filters in safetensors format.
+    #[arg(
+        long,
+        default_value = "candle-examples/examples/whisper/mel_filters.safetensors"
+    )]
+    filters: String,
+}
+
 fn main() -> Result<()> {
     let args = Args::parse();
     let device = if args.cpu {
@@ -187,9 +197,27 @@ fn main() -> Result<()> {
 
     let tokenizer = Tokenizer::from_file(args.tokenizer_config).map_err(E::msg)?;
 
-    let input = unsafe { candle::safetensors::MmapedFile::new(args.input)? };
-    let input = input.deserialize()?;
-    let mel = input.tensor("mel", &device)?;
+    let mel_filters = unsafe { candle::safetensors::MmapedFile::new(args.filters)? };
+    let mel_filters = mel_filters.deserialize()?;
+    let mel_filters = mel_filters.tensor("mel_80", &device)?;
+    println!("loaded mel filters {:?}", mel_filters.shape());
+    let (n_mel, n_fft) = mel_filters.shape().r2()?;
+    let mel_filters = mel_filters.flatten_all()?.to_vec1::<f32>()?;
+
+    let mut input = std::fs::File::open(args.input)?;
+    let (header, data) = wav::read(&mut input)?;
+    println!("loaded wav data: {header:?}");
+    if header.sampling_rate != SAMPLE_RATE as u32 {
+        anyhow::bail!("wav file must have a {} sampling rate", SAMPLE_RATE)
+    }
+    let data = data.as_sixteen().expect("expected 16 bit wav file");
+    let pcm_data: Vec<_> = data[..data.len() / header.channel_count as usize]
+        .iter()
+        .map(|v| *v as f32 / 32768.)
+        .collect();
+    let mel = audio::pcm_to_mel(&pcm_data, &mel_filters, n_mel, n_fft)?;
+    let mel_len = mel.len();
+    let mel = Tensor::from_vec(mel, (1, n_mel, mel_len / n_mel), &device)?;
     println!("loaded mel: {:?}", mel.dims());
 
     let weights = unsafe { candle::safetensors::MmapedFile::new(args.weights)? };