From 19ee63a65bb6be86a0af43bbda0d4cf338f671d6 Mon Sep 17 00:00:00 2001
From: MasterPhooey <hatted-limited0r@icloud.com>
Date: Sun, 26 Jul 2026 11:55:35 -0500
Subject: [PATCH] Release NVIDIA WakeWord Trainer v20

---
 VERSION           |  2 +-
 WHATS_NEW.md      |  6 +++---
 trainer_server.py | 18 +++++++++---------
 3 files changed, 13 insertions(+), 13 deletions(-)

diff --git a/VERSION b/VERSION
index d6b2404..209e3ef 100644
--- a/VERSION
+++ b/VERSION
@@ -1 +1 @@
-19
+20
diff --git a/WHATS_NEW.md b/WHATS_NEW.md
index 258b87e..532c6df 100644
--- a/WHATS_NEW.md
+++ b/WHATS_NEW.md
@@ -1,3 +1,3 @@
-- Fixed first-run Parakeet ONNX setup failing when its empty model directory was mistaken for a complete offline model.
-- Parakeet now downloads or resumes the required INT8 snapshot before loading through ONNX ASR.
-- Complete local snapshots are reused without Hub access, preserving offline startup after the initial download.
+- Fixed the v19 container startup failure caused by malformed indentation in the Parakeet ONNX loader.
+- Preserved automatic download, resume, and offline reuse of the required Parakeet INT8 model snapshot.
+- Revalidated both CUDA and CPU Parakeet provider paths with the complete trainer test suite.
diff --git a/trainer_server.py b/trainer_server.py
index 101c59b..09bb665 100644
--- a/trainer_server.py
+++ b/trainer_server.py
@@ -957,11 +957,11 @@ def _load_parakeet_onnx_model():
         cached = PARAKEET_ONNX_MODEL_CACHE.get(cache_key)
         if cached is not None:
             return cached
-    suffix = (
-        f".{DEFAULT_PARAKEET_ONNX_QUANTIZATION}"
-        if DEFAULT_PARAKEET_ONNX_QUANTIZATION
-        else ""
-    )
+        suffix = (
+            f".{DEFAULT_PARAKEET_ONNX_QUANTIZATION}"
+            if DEFAULT_PARAKEET_ONNX_QUANTIZATION
+            else ""
+        )
         model_patterns = [
             "config.json",
             "vocab.txt",
@@ -988,10 +988,10 @@ def _load_parakeet_onnx_model():
         os.environ["HUGGINGFACE_HUB_CACHE"] = str(AUTO_TRAIN_MODEL_DIR / "hub")
         try:
             snapshot_root = AUTO_TRAIN_MODEL_DIR
-    if not all(
-        (AUTO_TRAIN_MODEL_DIR / filename).is_file()
-        for filename in required_model_files
-    ):
+            if not all(
+                (AUTO_TRAIN_MODEL_DIR / filename).is_file()
+                for filename in required_model_files
+            ):
                 from huggingface_hub import snapshot_download
 
                 snapshot_root = Path(