Create container image and move parakeet fork to vendor dir

1 files changed, 0 insertions, 86 deletions

diff --git a/parakeet-rs/examples/raw.rs b/parakeet-rs/examples/raw.rs
deleted file mode 100644
index a1a2adc..0000000
--- a/parakeet-rs/examples/raw.rs
+++ /dev/null
@@ -1,86 +0,0 @@
-/*
-Demonstrates using transcribe_samples()
-
-This example shows manual audio loading and calling transcribe_samples() directly
-with sample_rate and channels instead of using transcribe_file()
-
-Usage:
-cargo run --example raw 6_speakers.wav
-cargo run --example raw 6_speakers.wav tdt
-
-WARNING: TDT model has sequence length limitations (~8-10 minutes max).
-For longer audio files, you must split into chunks (e.g., 5-minute segments)
-and transcribe each chunk separately. Attempting to transcribe 25+ minute
-audio files in one call will cause ONNX runtime errors.
-Otherwise you will likely get a error like:
-"Error: Ort(Error { code: RuntimeException, msg: "Non-zero status code returned while running Add node. Name:'/layers.0/self_attn/Add_2' Status Message: /Users/runner/work/ort-artifacts/ort-artifacts/onnxruntime/onnxruntime/core/providers/cpu/math/element_wise_ops.h:540 void onnxruntime::BroadcastIterator::Init(ptrdiff_t, ptrdiff_t) axis == 1 || axis == largest was false. })"
-*/
-
-use parakeet_rs::{Parakeet, ParakeetTDT, TimestampMode};
-use std::env;
-use std::time::Instant;
-
-fn main() -> Result<(), Box<dyn std::error::Error>> {
-    let start_time = Instant::now();
-    let args: Vec<String> = env::args().collect();
-    let audio_path = if args.len() > 1 {
-        &args[1]
-    } else {
-        "6_speakers.wav"
-    };
-
-    let use_tdt = args.len() > 2 && args[2] == "tdt";
-
-    // Load audio manually using hound (or any other audio library)
-    // remember if you use raw audio API, you need to handle audio preprocessing yourself!
-    let mut reader = hound::WavReader::open(audio_path)?;
-    let spec = reader.spec();
-
-    println!("Audio info: {}Hz, {} channel(s)", spec.sample_rate, spec.channels);
-
-    let audio: Vec<f32> = match spec.sample_format {
-        hound::SampleFormat::Float => reader
-            .samples::<f32>()
-            .collect::<Result<Vec<_>, _>>()?,
-        hound::SampleFormat::Int => reader
-            .samples::<i16>()
-            .map(|s| s.map(|s| s as f32 / 32768.0))
-            .collect::<Result<Vec<_>, _>>()?,
-    };
-
-    if use_tdt {
-        println!("Loading TDT model...");
-        let mut parakeet = ParakeetTDT::from_pretrained("./tdt", None)?;
-
-        // Use transcribe_samples() with raw parameters and timestamp mode
-        let result = parakeet.transcribe_samples(audio, spec.sample_rate, spec.channels, Some(TimestampMode::Sentences))?;
-
-        println!("{}", result.text);
-        println!("\nSentencess:");
-        for segment in result.tokens.iter() {
-            println!("[{:.2}s - {:.2}s]: {}", segment.start, segment.end, segment.text);
-        }
-    } else {
-        println!("Loading CTC model...");
-        let mut parakeet = Parakeet::from_pretrained(".", None)?;
-
-        // CTC model doesn't predict punctuation (lowercase alphabet only)
-        // This means no sentence boundaries. we use Words mode instead of Sentences
-        let result = parakeet.transcribe_samples(audio, spec.sample_rate, spec.channels, Some(TimestampMode::Words))?;
-
-        println!("{}", result.text);
-
-        // Access word-level timestamps (showing first 10 for brevity)
-        // Note: CTC generates word-level timestamps but cannot segment into sentences
-        // due to lack of punctuation prediction - this is a model limitation if I not mistake
-        println!("\nWords (first 10):");
-        for word in result.tokens.iter().take(10) {
-            println!("[{:.2}s - {:.2}s]: {}", word.start, word.end, word.text);
-        }
-    }
-
-    let elapsed = start_time.elapsed();
-    println!("\n✓ Transcription completed in {:.2}s", elapsed.as_secs_f32());
-
-    Ok(())
-}