From 9865b3cb93326c12ba72577622d8dcd34b9a561c Mon Sep 17 00:00:00 2001
From: Ziyuan Wang <zzzacwork@gmail.com>
Date: Thu, 9 Mar 2023 04:26:15 +0000
Subject: [PATCH] fix typos

---
 examples/parallel_example.ipynb | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/examples/parallel_example.ipynb b/examples/parallel_example.ipynb
index f581579..162e4f2 100644
--- a/examples/parallel_example.ipynb
+++ b/examples/parallel_example.ipynb
@@ -20,7 +20,7 @@
     "from pprint import pprint\n",
     "torch.set_num_threads(1)\n",
     "# download wav files, make multiple copies\n",
-    "for idx in range(10):\n",
+    "for idx in range(4):\n",
     "    torch.hub.download_url_to_file('https://models.silero.ai/vad_models/en.wav', f\"en_example{idx}.wav\")\n"
    ]
   },
@@ -41,7 +41,7 @@
     "model, utils = torch.hub.load(repo_or_dir='snakers4/silero-vad',\n",
     "                              model='silero_vad',\n",
     "                              force_reload=True,\n",
-    "                              onnx=USE_ONNX)\n",
+    "                              onnx=False)\n",
     "\n",
     "(get_speech_timestamps,\n",
     " save_audio,\n",
@@ -66,7 +66,7 @@
    "source": [
     "def vad_process(audio_file: str):\n",
     "    with torch.no_grad():\n",
-    "        wav = read_audio(audio_file, sample_rate=SAMPLING_RATE)\n",
+    "        wav = read_audio(audio_file, sampling_rate=SAMPLING_RATE)\n",
     "        return get_speech_timestamps(\n",
     "            wav,\n",
     "            model,\n",
@@ -98,7 +98,7 @@
     "\n",
     "futures = []\n",
     "with ProcessPoolExecutor(max_workers=4) as ex:\n",
-    "    for i in range(10):\n",
+    "    for i in range(4):\n",
     "        futures.append(ex.submit(vad_process, f\"en_example{idx}.wav\"))\n",
     "\n",
     "for finished in as_completed(futures):\n",