From f9c03e460d413f3adcae299b2c2fce2937eac5f6 Mon Sep 17 00:00:00 2001
From: evrrn <ang.elizarova@gmail.com>
Date: Fri, 25 Feb 2022 08:51:01 +0000
Subject: [PATCH] Update examples

---
 examples.ipynb     | 77 ----------------------------------------------
 examples_tts.ipynb |  4 +--
 2 files changed, 2 insertions(+), 79 deletions(-)
 mode change 100644 => 100755 examples.ipynb
 mode change 100644 => 100755 examples_tts.ipynb

diff --git a/examples.ipynb b/examples.ipynb
old mode 100644
new mode 100755
index 9b1c5c8..5e37c94
--- a/examples.ipynb
+++ b/examples.ipynb
@@ -486,83 +486,6 @@
     "decoded = decoder(torch.Tensor(ort_outs[0])[0])\n",
     "print(decoded)"
    ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "id": "0omBCDk5ZfBd"
-   },
-   "source": [
-    "# TensorFlow Example"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "cellView": "form",
-    "id": "BmoBJY7QnC6P"
-   },
-   "outputs": [],
-   "source": [
-    "#@title Install and Import Dependencies\n",
-    "\n",
-    "# this assumes that you have a relevant version of PyTorch installed\n",
-    "!pip install -q torchaudio omegaconf intel-tensorflow"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "id": "BzTdtvQ-okUC"
-   },
-   "source": [
-    "## Minimal example"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "id": "lnmXz_jyE8G7"
-   },
-   "outputs": [],
-   "source": [
-    "import os\n",
-    "import torch\n",
-    "import subprocess\n",
-    "import tensorflow as tf\n",
-    "import tensorflow_hub as tf_hub\n",
-    "from omegaconf import OmegaConf\n",
-    "\n",
-    "language = 'en' # also available 'de', 'es'\n",
-    "\n",
-    "# load provided utils using torch.hub for brevity\n",
-    "_, decoder, utils = torch.hub.load(repo_or_dir='snakers4/silero-models', model='silero_stt', language=language)\n",
-    "(read_batch, split_into_batches,\n",
-    " read_audio, prepare_model_input) = utils\n",
-    "\n",
-    " # see available models\n",
-    "torch.hub.download_url_to_file('https://raw.githubusercontent.com/snakers4/silero-models/master/models.yml', 'models.yml')\n",
-    "models = OmegaConf.load('models.yml')\n",
-    "available_languages = list(models.stt_models.keys())\n",
-    "assert language in available_languages\n",
-    "\n",
-    "# load the actual tf model\n",
-    "torch.hub.download_url_to_file(models.stt_models.en.latest.tf, 'tf_model.tar.gz')\n",
-    "subprocess.run('rm -rf tf_model && mkdir tf_model && tar xzfv tf_model.tar.gz -C tf_model',  shell=True, check=True)\n",
-    "tf_model = tf.saved_model.load('tf_model')\n",
-    "\n",
-    "# download a single file, any format compatible with TorchAudio\n",
-    "torch.hub.download_url_to_file('https://opus-codec.org/static/examples/samples/speech_orig.wav', dst ='speech_orig.wav', progress=True)\n",
-    "test_files = ['speech_orig.wav']\n",
-    "batches = split_into_batches(test_files, batch_size=10)\n",
-    "input = prepare_model_input(read_batch(batches[0]))\n",
-    "\n",
-    "# tf inference\n",
-    "res = tf_model.signatures[\"serving_default\"](tf.constant(input.numpy()))['output_0']\n",
-    "print(decoder(torch.Tensor(res.numpy())[0]))"
-   ]
   }
  ],
  "metadata": {
diff --git a/examples_tts.ipynb b/examples_tts.ipynb
old mode 100644
new mode 100755
index 2f5a74e..bfcd587
--- a/examples_tts.ipynb
+++ b/examples_tts.ipynb
@@ -345,7 +345,7 @@
    "source": [
     "#@title Install dependencies\n",
     "\n",
-    "!pip install -q torch==1.9"
+    "!pip install -q torch==1.10"
    ]
   },
   {
@@ -514,7 +514,7 @@
     "                                 local_file)\n",
     "\n",
     "if not os.path.isfile('tts_utils.py'):\n",
-    "  torch.hub.download_url_to_file('https://raw.githubusercontent.com/snakers4/silero-models/master/tts_utils.py',\n",
+    "  torch.hub.download_url_to_file('https://raw.githubusercontent.com/snakers4/silero-models/master/src/tts_utils.py',\n",
     "                                 'tts_utils.py')\n",
     "  from tts_utils import apply_tts  # modify these utils and use them your project\n",
     "  \n",