mirror of
https://github.com/TaterTotterson/microWakeWord-Trainer-Nvidia-Docker.git
synced 2026-08-12 07:55:33 -06:00
Release NVIDIA WakeWord Trainer v25
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@@ -315,6 +315,10 @@ class AutoTrainTests(unittest.TestCase):
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self.assertEqual(metadata["transcript"], "turn on the kitchen lights")
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self.assertEqual(metadata["auto_review_stt_engine"], "faster_whisper")
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self.assertEqual(metadata["auto_review_stt_model"], "small.en")
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sample_item = trainer._sample_item_from_path(negatives[0], "negative")
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self.assertEqual(sample_item["transcript"], "turn on the kitchen lights")
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self.assertEqual(sample_item["auto_review_stt_engine"], "faster_whisper")
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self.assertEqual(sample_item["auto_review_stt_model"], "small.en")
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self.assertEqual(trainer.AUTO_TRAIN_STATE["pending_negative_count"], 1)
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def test_matching_phrase_stays_in_manual_review_inbox(self):
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@@ -467,9 +471,30 @@ class AutoTrainTests(unittest.TestCase):
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self.assertTrue(metadata["auto_positive"])
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self.assertEqual(metadata["review_status"], "auto_approved_personal")
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self.assertEqual(metadata["transcript"], "hey tater")
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sample_item = trainer._sample_item_from_path(positives[0], "personal")
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self.assertEqual(sample_item["transcript"], "hey tater")
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self.assertFalse(list(trainer.NEGATIVE_DIR.glob("*.wav")))
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self.assertEqual(trainer.AUTO_TRAIN_STATE["pending_negative_count"], 0)
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def test_guided_stt_remains_visible_after_positive_auto_sort(self):
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self.add_capture(event_type="close_miss")
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trainer.AUTO_TRAIN_CONFIG["promote_close_misses"] = True
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with (
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patch.object(trainer, "_transcribe_capture", return_value="Hey, haters."),
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patch.object(
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trainer,
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"_transcribe_capture_with_faster_whisper_guided",
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return_value="Hey Tater",
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),
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):
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trainer._auto_review_capture("wake.wav")
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positives = list(trainer.PERSONAL_DIR.glob("*.wav"))
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self.assertEqual(len(positives), 1)
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sample_item = trainer._sample_item_from_path(positives[0], "personal")
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self.assertEqual(sample_item["transcript"], "Hey, haters.")
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self.assertEqual(sample_item["auto_review_guided_transcript"], "Hey Tater")
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def test_close_miss_without_phrase_stays_in_inbox(self):
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audio_path = self.add_capture(event_type="close_miss")
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trainer.AUTO_TRAIN_CONFIG["promote_close_misses"] = True
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@@ -5,6 +5,7 @@ import importlib.util
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import json
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import math
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import shutil
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import signal
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import subprocess
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import tempfile
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import unittest
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@@ -586,6 +587,87 @@ class ModernTtsTests(unittest.TestCase):
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self.assertTrue((output_dir / ".generation_manifest.json").is_file())
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self.assertTrue(instance.cache_hit())
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def test_normalization_times_out_bad_clip_and_continues(self) -> None:
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with tempfile.TemporaryDirectory() as temp_dir:
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data_dir = Path(temp_dir)
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output_dir = data_dir / "work" / "wake_word_samples"
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args = argparse.Namespace(
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phrase="hey tater",
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language="en",
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tts_mode="modern",
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samples=2,
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batch_size=1,
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voice_count=2,
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data_dir=data_dir,
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output_dir=output_dir,
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ffmpeg="ffmpeg",
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dry_run=False,
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)
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instance = generator_module.Generator(args)
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raw_dir = instance.raw_dir / "qwen3"
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raw_dir.mkdir(parents=True)
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paths = [raw_dir / "bad.wav", raw_dir / "good.wav"]
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for path in paths:
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write_tone(path)
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instance.speed_by_path[path.resolve()] = 1.0
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calls = []
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class FakeProcess:
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def __init__(self, *, pid, timed_out):
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self.pid = pid
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self.timed_out = timed_out
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self.wait_calls = []
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def wait(self, timeout=None):
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self.wait_calls.append(timeout)
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if self.timed_out and len(self.wait_calls) == 1:
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raise subprocess.TimeoutExpired(
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calls[0][0],
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generator_module.NORMALIZATION_TIMEOUT_SECONDS,
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)
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return -signal.SIGKILL if self.timed_out else 0
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def kill(self):
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return None
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processes = []
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def fake_ffmpeg(command, **kwargs):
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calls.append((command, kwargs))
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temp_path = Path(command[-1])
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if len(calls) == 1:
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temp_path.touch()
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process = FakeProcess(pid=12345, timed_out=True)
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else:
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write_tone(temp_path)
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process = FakeProcess(pid=12346, timed_out=False)
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processes.append(process)
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return process
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messages = []
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with (
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patch.object(generator_module.subprocess, "Popen", side_effect=fake_ffmpeg),
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patch.object(generator_module.os, "killpg") as killpg,
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patch.object(generator_module, "log", side_effect=messages.append),
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):
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accepted = instance.normalize(paths, 0, 2)
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self.assertEqual(len(calls), 2)
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self.assertEqual(len(accepted), 1)
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self.assertTrue((instance.final_dir / "0.wav").is_file())
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self.assertFalse((instance.final_dir / "0.tmp.wav").exists())
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self.assertIn("-nostdin", calls[0][0])
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self.assertIs(calls[0][1]["stdin"], subprocess.DEVNULL)
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self.assertTrue(calls[0][1]["start_new_session"])
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self.assertEqual(
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processes[0].wait_calls,
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[generator_module.NORMALIZATION_TIMEOUT_SECONDS, 2.0],
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)
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killpg.assert_called_once_with(12345, signal.SIGKILL)
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self.assertTrue(any("timed out" in message for message in messages))
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self.assertTrue(any("1/2 accepted" in message for message in messages))
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def test_docker_and_ui_are_wired_for_modern_tts(self) -> None:
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for dockerfile in ("dockerfile", "dockerfile.blackwell"):
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source = (REPO_ROOT / dockerfile).read_text(encoding="utf-8")
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@@ -80,6 +80,14 @@ class VueTrainerUiTests(unittest.TestCase):
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self.assertIn('@scroll.passive="onConsoleScroll"', app)
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self.assertIn("Jump to latest", app)
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def test_saved_positive_and_negative_cards_keep_stt_results_visible(self) -> None:
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app = (REPO_ROOT / "frontend" / "src" / "TrainerApp.vue").read_text(encoding="utf-8")
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types = (REPO_ROOT / "frontend" / "src" / "types.ts").read_text(encoding="utf-8")
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self.assertEqual(app.count('v-if="item.transcript" class="transcript"'), 2)
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self.assertEqual(app.count('v-if="item.auto_review_guided_transcript"'), 2)
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self.assertIn("auto_review_guided_transcript?: string", types)
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def test_wake_word_card_uses_explicit_json_catalog_url(self) -> None:
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app = (REPO_ROOT / "frontend" / "src" / "TrainerApp.vue").read_text(encoding="utf-8")
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types = (REPO_ROOT / "frontend" / "src" / "types.ts").read_text(encoding="utf-8")
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