3_build_and_deploy_to_riva.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "612bfc81",
   "metadata": {},
   "source": [
    "## Prerequisite"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8e93aca9",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# install nemo2riva from resources\n",
    "!pip install nvidia-pyindex\n",
    "!cd ./resources/riva_quickstart_v2.8.1 && pip install nemo2riva-2.8.1-py3-none-any.whl"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "47d00305",
   "metadata": {},
   "source": [
    "## Prepare for NeMo files"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5a01aadc",
   "metadata": {},
   "source": [
    "#### FastPitch"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "e5d770d7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "./exp/ljspeech_to_6097_no_mixing_5_mins/FastPitch/2023-01-03_00-13-16\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "\n",
    "exp_dir = './exp/ljspeech_to_6097_no_mixing_5_mins/FastPitch'\n",
    "all_subdirs = [d for d in os.listdir(exp_dir)]\n",
    "all_subdirs.sort(reverse=True)\n",
    "latest_subdir = all_subdirs[0]\n",
    "model_dir = exp_dir + \"/\" + latest_subdir\n",
    "print(model_dir)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "3df7c6ce",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "./exp/ljspeech_to_6097_no_mixing_5_mins/FastPitch/2023-01-03_00-13-16/checkpoints/FastPitch.nemo\n"
     ]
    }
   ],
   "source": [
    "for root, dir, files in os.walk(model_dir):\n",
    "    for file in files:\n",
    "        if file.endswith(\".nemo\"):\n",
    "            fp_last_file=os.path.join(root, file)\n",
    "            fp_last_root = root\n",
    "print(fp_last_file)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "578b1c0c",
   "metadata": {},
   "outputs": [],
   "source": [
    "!cp $fp_last_file $fp_last_root/FastPitch_FebMeetup.nemo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "b02cb7f5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "'FastPitch--val_loss=1.6946-epoch=24.ckpt'\n",
      "'FastPitch--val_loss=1.7406-epoch=74.ckpt'\n",
      "'FastPitch--val_loss=1.7523-epoch=49.ckpt'\n",
      "'FastPitch--val_loss=1.9137-epoch=200-last.ckpt'\n",
      " FastPitch.nemo\n",
      " FastPitch_FebMeetup.nemo\n"
     ]
    }
   ],
   "source": [
    "!ls {fp_last_root}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "8ff254be-834d-49d8-97cc-61793be11647",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'./exp/ljspeech_to_6097_no_mixing_5_mins/FastPitch/2023-01-03_00-13-16/checkpoints'"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fp_last_root"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "29e8dc4a",
   "metadata": {},
   "source": [
    "#### HifiGan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "56565365",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "./exp/ljspeech_to_6097_no_mixing_5_mins/HifiGan/2023-01-03_01-10-28\n"
     ]
    }
   ],
   "source": [
    "exp_dir = './exp/ljspeech_to_6097_no_mixing_5_mins/HifiGan'\n",
    "all_subdirs = [d for d in os.listdir(exp_dir)]\n",
    "all_subdirs.sort(reverse=True)\n",
    "latest_subdir = all_subdirs[0]\n",
    "model_dir = exp_dir + \"/\" + latest_subdir\n",
    "print(model_dir)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "8b1a6206",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "./exp/ljspeech_to_6097_no_mixing_5_mins/HifiGan/2023-01-03_01-10-28/checkpoints/HifiGan.nemo\n"
     ]
    }
   ],
   "source": [
    "for root, dir, files in os.walk(model_dir):\n",
    "    for file in files:\n",
    "        if file.endswith(\".nemo\"):\n",
    "            hg_last_file=os.path.join(root, file)\n",
    "            hg_last_root = root\n",
    "print(hg_last_file)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "d9a75c90",
   "metadata": {},
   "outputs": [],
   "source": [
    "!cp $hg_last_file $hg_last_root/HifiGan_FebMeetup.nemo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "1bddb7dc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "'HifiGan--val_loss=0.4006-epoch=69.ckpt'\n",
      "'HifiGan--val_loss=0.4048-epoch=99.ckpt'\n",
      "'HifiGan--val_loss=0.4073-epoch=79.ckpt'\n",
      "'HifiGan--val_loss=0.4407-epoch=125-last.ckpt'\n",
      " HifiGan.nemo\n",
      " HifiGan_FebMeetup.nemo\n"
     ]
    }
   ],
   "source": [
    "!ls {hg_last_root}"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d4d97d1c",
   "metadata": {},
   "source": [
    "## Export NeMo to Riva\n",
    "For more details: https://docs.nvidia.com/deeplearning/riva/user-guide/docs/model-overview.html#nemo2riva-export-for-nemo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "08dded22",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.8/dist-packages/tqdm/auto.py:22: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
      "  from .autonotebook import tqdm as notebook_tqdm\n"
     ]
    }
   ],
   "source": [
    "import torch\n",
    "import os\n",
    "torch.cuda.empty_cache()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "0f03252e",
   "metadata": {},
   "outputs": [],
   "source": [
    "!mkdir -p ./outputs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "d38b9ae1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO: Created a temporary directory at /tmp/tmpq7d2ue14\n",
      "INFO: Writing /tmp/tmpq7d2ue14/_remote_module_non_scriptable.py\n",
      "[NeMo W 2023-01-03 08:52:00 optimizers:55] Apex was not found. Using the lamb or fused_adam optimizer will error out.\n",
      "[NeMo W 2023-01-03 08:52:00 experimental:27] Module <class 'nemo.collections.common.tokenizers.text_to_speech.tts_tokenizers.IPATokenizer'> is experimental, not ready for production and is not fully supported. Use at your own risk.\n",
      "[NeMo W 2023-01-03 08:52:00 experimental:27] Module <class 'nemo.collections.tts.models.radtts.RadTTSModel'> is experimental, not ready for production and is not fully supported. Use at your own risk.\n",
      "[NeMo I 2023-01-03 08:52:00 nemo2riva:44] Logging level set to 20\n",
      "[NeMo I 2023-01-03 08:52:00 convert:41] Restoring NeMo model from './exp/ljspeech_to_6097_no_mixing_5_mins/FastPitch/2023-01-03_00-13-16/checkpoints/FastPitch.nemo'\n",
      "INFO: GPU available: True (cuda), used: False\n",
      "INFO: TPU available: False, using: 0 TPU cores\n",
      "INFO: IPU available: False, using: 0 IPUs\n",
      "INFO: HPU available: False, using: 0 HPUs\n",
      "[NeMo W 2023-01-03 08:52:00 nemo_logging:349] /usr/local/lib/python3.8/dist-packages/pytorch_lightning/trainer/setup.py:175: PossibleUserWarning: GPU available but not used. Set `accelerator` and `devices` using `Trainer(accelerator='gpu', devices=8)`.\n",
      "      rank_zero_warn(\n",
      "    \n",
      "[NeMo I 2023-01-03 08:52:03 tokenize_and_classify:87] Creating ClassifyFst grammars.\n",
      "[NeMo W 2023-01-03 08:52:25 experimental:27] Module <class 'nemo_text_processing.g2p.modules.IPAG2P'> is experimental, not ready for production and is not fully supported. Use at your own risk.\n",
      "[NeMo W 2023-01-03 08:52:26 modules:95] apply_to_oov_word=None, This means that some of words will remain unchanged if they are not handled by any of the rules in self.parse_one_word(). This may be intended if phonemes and chars are both valid inputs, otherwise, you may see unexpected deletions in your input.\n",
      "[NeMo W 2023-01-03 08:52:26 modelPT:142] If you intend to do training or fine-tuning, please call the ModelPT.setup_training_data() method and provide a valid configuration file to setup the train data loader.\n",
      "    Train config : \n",
      "    dataset:\n",
      "      _target_: nemo.collections.tts.torch.data.TTSDataset\n",
      "      manifest_filepath: ./dataset/6097_5_mins/6097_manifest_train_dur_5_mins_local.json\n",
      "      sample_rate: 22050\n",
      "      sup_data_path: ./dataset/fastpitch_sup_data\n",
      "      sup_data_types:\n",
      "      - align_prior_matrix\n",
      "      - pitch\n",
      "      n_fft: 1024\n",
      "      win_length: 1024\n",
      "      hop_length: 256\n",
      "      window: hann\n",
      "      n_mels: 80\n",
      "      lowfreq: 0\n",
      "      highfreq: 8000\n",
      "      max_duration: null\n",
      "      min_duration: 0.1\n",
      "      ignore_file: null\n",
      "      trim: false\n",
      "      pitch_fmin: 30\n",
      "      pitch_fmax: 512\n",
      "      pitch_norm: true\n",
      "      pitch_mean: 121.9\n",
      "      pitch_std: 23.1\n",
      "      use_beta_binomial_interpolator: true\n",
      "    dataloader_params:\n",
      "      drop_last: false\n",
      "      shuffle: true\n",
      "      batch_size: 24\n",
      "      num_workers: 12\n",
      "      pin_memory: true\n",
      "    \n",
      "[NeMo W 2023-01-03 08:52:26 modelPT:149] If you intend to do validation, please call the ModelPT.setup_validation_data() or ModelPT.setup_multiple_validation_data() method and provide a valid configuration file to setup the validation data loader(s). \n",
      "    Validation config : \n",
      "    dataset:\n",
      "      _target_: nemo.collections.tts.torch.data.TTSDataset\n",
      "      manifest_filepath: ./dataset/6097_5_mins/6097_manifest_dev_ns_all_local.json\n",
      "      sample_rate: 22050\n",
      "      sup_data_path: ./dataset/fastpitch_sup_data\n",
      "      sup_data_types:\n",
      "      - align_prior_matrix\n",
      "      - pitch\n",
      "      n_fft: 1024\n",
      "      win_length: 1024\n",
      "      hop_length: 256\n",
      "      window: hann\n",
      "      n_mels: 80\n",
      "      lowfreq: 0\n",
      "      highfreq: 8000\n",
      "      max_duration: null\n",
      "      min_duration: null\n",
      "      ignore_file: null\n",
      "      trim: false\n",
      "      pitch_fmin: 30\n",
      "      pitch_fmax: 512\n",
      "      pitch_norm: true\n",
      "      pitch_mean: 121.9\n",
      "      pitch_std: 23.1\n",
      "      use_beta_binomial_interpolator: true\n",
      "    dataloader_params:\n",
      "      drop_last: false\n",
      "      shuffle: false\n",
      "      batch_size: 24\n",
      "      num_workers: 8\n",
      "      pin_memory: true\n",
      "    \n",
      "[NeMo W 2023-01-03 08:52:26 nemo_logging:349] /usr/local/lib/python3.8/dist-packages/torch/jit/annotations.py:309: UserWarning: TorchScript will treat type annotations of Tensor dtype-specific subtypes as if they are normal Tensors. dtype constraints are not enforced in compilation either.\n",
      "      warnings.warn(\"TorchScript will treat type annotations of Tensor \"\n",
      "    \n",
      "[NeMo I 2023-01-03 08:52:26 features:267] PADDING: 1\n",
      "[NeMo I 2023-01-03 08:52:28 save_restore_connector:243] Model FastPitchModel was successfully restored from /workspace/riva_demo/exp/ljspeech_to_6097_no_mixing_5_mins/FastPitch/2023-01-03_00-13-16/checkpoints/FastPitch.nemo.\n",
      "[NeMo I 2023-01-03 08:52:28 schema:154] Loaded schema file /usr/local/lib/python3.8/dist-packages/nemo2riva/validation_schemas/asr-stt-exported-encdecctcmodel.yaml for nemo.collections.asr.models.EncDecCTCModel\n",
      "[NeMo I 2023-01-03 08:52:28 schema:154] Loaded schema file /usr/local/lib/python3.8/dist-packages/nemo2riva/validation_schemas/tts-exported-radttsmodel.yaml for nemo.collections.tts.models.RadTTSModel\n",
      "[NeMo I 2023-01-03 08:52:28 schema:154] Loaded schema file /usr/local/lib/python3.8/dist-packages/nemo2riva/validation_schemas/tts-exported-hifiganmodel.yaml for nemo.collections.tts.models.HifiGanModel\n",
      "[NeMo I 2023-01-03 08:52:28 schema:154] Loaded schema file /usr/local/lib/python3.8/dist-packages/nemo2riva/validation_schemas/asr-stt-exported-encdectcmodelbpe.yaml for nemo.collections.asr.models.EncDecCTCModelBPE\n",
      "[NeMo I 2023-01-03 08:52:28 schema:154] Loaded schema file /usr/local/lib/python3.8/dist-packages/nemo2riva/validation_schemas/tts-exported-fastpitchmodel.yaml for nemo.collections.tts.models.FastPitchModel\n",
      "[NeMo I 2023-01-03 08:52:28 schema:154] Loaded schema file /usr/local/lib/python3.8/dist-packages/nemo2riva/validation_schemas/nlp-mt-exported-encdecmtmodel.yaml for nemo.collections.nlp.models.MTEncDecModel\n",
      "[NeMo I 2023-01-03 08:52:28 schema:154] Loaded schema file /usr/local/lib/python3.8/dist-packages/nemo2riva/validation_schemas/nlp-pc-exported-bert.yaml for nemo.collections.nlp.models.PunctuationCapitalizationModel\n",
      "[NeMo I 2023-01-03 08:52:28 schema:154] Loaded schema file /usr/local/lib/python3.8/dist-packages/nemo2riva/validation_schemas/asr-scr-exported-encdecclsmodel.yaml for nemo.collections.asr.models.classification_models.EncDecClassificationModel\n",
      "[NeMo I 2023-01-03 08:52:28 schema:154] Loaded schema file /usr/local/lib/python3.8/dist-packages/nemo2riva/validation_schemas/nlp-qa-exported-bert.yaml for nemo.collections.nlp.models.QAModel\n",
      "[NeMo I 2023-01-03 08:52:28 schema:154] Loaded schema file /usr/local/lib/python3.8/dist-packages/nemo2riva/validation_schemas/nlp-tc-exported-bert.yaml for nemo.collections.nlp.models.TextClassificationModel\n",
      "[NeMo I 2023-01-03 08:52:28 schema:154] Loaded schema file /usr/local/lib/python3.8/dist-packages/nemo2riva/validation_schemas/nlp-tkc-exported-bert.yaml for nemo.collections.nlp.models.TokenClassificationModel\n",
      "[NeMo I 2023-01-03 08:52:28 schema:154] Loaded schema file /usr/local/lib/python3.8/dist-packages/nemo2riva/validation_schemas/nlp-isc-exported-bert.yaml for nemo.collections.nlp.models.IntentSlotClassificationModel\n",
      "[NeMo I 2023-01-03 08:52:28 schema:193] Found validation schema for nemo.collections.tts.models.FastPitchModel at /usr/local/lib/python3.8/dist-packages/nemo2riva/validation_schemas/tts-exported-fastpitchmodel.yaml\n",
      "[NeMo I 2023-01-03 08:52:28 schema:222] Checking installed NeMo version ... 1.14.0 OK (>=1.1)\n",
      "[NeMo I 2023-01-03 08:52:28 artifacts:65] Found model at ./model_weights.ckpt\n",
      "INFO: Adding mapping.txt for FastPitchModel instance to output file\n",
      "[NeMo I 2023-01-03 08:52:28 artifacts:142] Retrieved artifacts: dict_keys(['5d608f737d954e90b5f348ee899ebe83_cmudict-0.7b_nv22.10', '70cea7647b6d4456ac6368ad2be1c978_tts.tsv', '96e1191ef6e84d338892963f7e5d3157_heteronyms-052722', 'model_config.yaml', 'mapping.txt'])\n",
      "[NeMo I 2023-01-03 08:52:28 cookbook:67] Exporting model FastPitchModel with config=ExportConfig(export_subnet=None, export_format='ONNX', export_file='model_graph.onnx', encryption=True, autocast=True, max_dim=None)\n",
      "[NeMo I 2023-01-03 08:52:28 export_utils:398] Swapped 28 modules\n",
      "[NeMo I 2023-01-03 08:52:33 exportable:88] Successfully exported FastPitchModel to /tmp/tmp677wl088/model_graph.onnx\n",
      "2023-01-03 08:52:34.099958762 [W:onnxruntime:, unsqueeze_elimination.cc:20 Apply] UnsqueezeElimination cannot remove node Unsqueeze_300\n",
      "2023-01-03 08:52:34.100011642 [W:onnxruntime:, unsqueeze_elimination.cc:20 Apply] UnsqueezeElimination cannot remove node Unsqueeze_296\n",
      "2023-01-03 08:52:34.100020158 [W:onnxruntime:, unsqueeze_elimination.cc:20 Apply] UnsqueezeElimination cannot remove node Unsqueeze_279\n",
      "2023-01-03 08:52:34.100028073 [W:onnxruntime:, unsqueeze_elimination.cc:20 Apply] UnsqueezeElimination cannot remove node Unsqueeze_275\n",
      "2023-01-03 08:52:34.100036710 [W:onnxruntime:, unsqueeze_elimination.cc:20 Apply] UnsqueezeElimination cannot remove node Unsqueeze_269\n",
      "2023-01-03 08:52:34.100044124 [W:onnxruntime:, unsqueeze_elimination.cc:20 Apply] UnsqueezeElimination cannot remove node Unsqueeze_230\n",
      "2023-01-03 08:52:34.100051768 [W:onnxruntime:, unsqueeze_elimination.cc:20 Apply] UnsqueezeElimination cannot remove node Unsqueeze_226\n",
      "2023-01-03 08:52:34.100059893 [W:onnxruntime:, unsqueeze_elimination.cc:20 Apply] UnsqueezeElimination cannot remove node Unsqueeze_209\n",
      "2023-01-03 08:52:34.100067177 [W:onnxruntime:, unsqueeze_elimination.cc:20 Apply] UnsqueezeElimination cannot remove node Unsqueeze_205\n",
      "2023-01-03 08:52:34.100075413 [W:onnxruntime:, unsqueeze_elimination.cc:20 Apply] UnsqueezeElimination cannot remove node Unsqueeze_199\n",
      "2023-01-03 08:52:34.100082556 [W:onnxruntime:, unsqueeze_elimination.cc:20 Apply] UnsqueezeElimination cannot remove node Unsqueeze_160\n",
      "2023-01-03 08:52:34.100089659 [W:onnxruntime:, unsqueeze_elimination.cc:20 Apply] UnsqueezeElimination cannot remove node Unsqueeze_156\n",
      "2023-01-03 08:52:34.100097835 [W:onnxruntime:, unsqueeze_elimination.cc:20 Apply] UnsqueezeElimination cannot remove node Unsqueeze_139\n",
      "2023-01-03 08:52:34.100105810 [W:onnxruntime:, unsqueeze_elimination.cc:20 Apply] UnsqueezeElimination cannot remove node Unsqueeze_135\n",
      "2023-01-03 08:52:34.100113835 [W:onnxruntime:, unsqueeze_elimination.cc:20 Apply] UnsqueezeElimination cannot remove node Unsqueeze_129\n",
      "2023-01-03 08:52:34.100121069 [W:onnxruntime:, unsqueeze_elimination.cc:20 Apply] UnsqueezeElimination cannot remove node Unsqueeze_90\n",
      "2023-01-03 08:52:34.100128202 [W:onnxruntime:, unsqueeze_elimination.cc:20 Apply] UnsqueezeElimination cannot remove node Unsqueeze_86\n",
      "2023-01-03 08:52:34.100136258 [W:onnxruntime:, unsqueeze_elimination.cc:20 Apply] UnsqueezeElimination cannot remove node Unsqueeze_69\n",
      "2023-01-03 08:52:34.100143572 [W:onnxruntime:, unsqueeze_elimination.cc:20 Apply] UnsqueezeElimination cannot remove node Unsqueeze_65\n",
      "2023-01-03 08:52:34.100151657 [W:onnxruntime:, unsqueeze_elimination.cc:20 Apply] UnsqueezeElimination cannot remove node Unsqueeze_59\n",
      "[NeMo I 2023-01-03 08:52:35 cookbook:154] Saving to ./outputs/FastPitch_Finetuned_FebMeetup.riva\n",
      "[NeMo I 2023-01-03 08:52:39 convert:95] Model saved to ./outputs/FastPitch_Finetuned_FebMeetup.riva\n"
     ]
    }
   ],
   "source": [
    "# export FastPitch finetuned model. \n",
    "# Note that encryption key should be specified with the \"--key\" argument in order to avoid errors.\n",
    "!nemo2riva --key woojin --out ./outputs/FastPitch_Finetuned_FebMeetup.riva $fp_last_file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "d031f506",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO: Created a temporary directory at /tmp/tmpn2dzzcyn\n",
      "INFO: Writing /tmp/tmpn2dzzcyn/_remote_module_non_scriptable.py\n",
      "[NeMo W 2023-01-03 08:54:14 optimizers:55] Apex was not found. Using the lamb or fused_adam optimizer will error out.\n",
      "[NeMo W 2023-01-03 08:54:14 experimental:27] Module <class 'nemo.collections.common.tokenizers.text_to_speech.tts_tokenizers.IPATokenizer'> is experimental, not ready for production and is not fully supported. Use at your own risk.\n",
      "[NeMo W 2023-01-03 08:54:14 experimental:27] Module <class 'nemo.collections.tts.models.radtts.RadTTSModel'> is experimental, not ready for production and is not fully supported. Use at your own risk.\n",
      "[NeMo I 2023-01-03 08:54:14 nemo2riva:44] Logging level set to 20\n",
      "[NeMo I 2023-01-03 08:54:14 convert:41] Restoring NeMo model from './exp/ljspeech_to_6097_no_mixing_5_mins/HifiGan/2023-01-03_01-10-28/checkpoints/HifiGan.nemo'\n",
      "INFO: GPU available: True (cuda), used: False\n",
      "INFO: TPU available: False, using: 0 TPU cores\n",
      "INFO: IPU available: False, using: 0 IPUs\n",
      "INFO: HPU available: False, using: 0 HPUs\n",
      "[NeMo W 2023-01-03 08:54:14 nemo_logging:349] /usr/local/lib/python3.8/dist-packages/pytorch_lightning/trainer/setup.py:175: PossibleUserWarning: GPU available but not used. Set `accelerator` and `devices` using `Trainer(accelerator='gpu', devices=8)`.\n",
      "      rank_zero_warn(\n",
      "    \n",
      "[NeMo W 2023-01-03 08:54:15 modelPT:142] If you intend to do training or fine-tuning, please call the ModelPT.setup_training_data() method and provide a valid configuration file to setup the train data loader.\n",
      "    Train config : \n",
      "    dataset:\n",
      "      _target_: nemo.collections.tts.torch.data.VocoderDataset\n",
      "      manifest_filepath: ./dataset/6097_5_mins/hifigan_train_ft.json\n",
      "      sample_rate: 22050\n",
      "      n_segments: 8192\n",
      "      max_duration: null\n",
      "      min_duration: 0.75\n",
      "      load_precomputed_mel: true\n",
      "      hop_length: 256\n",
      "    dataloader_params:\n",
      "      drop_last: false\n",
      "      shuffle: true\n",
      "      batch_size: 32\n",
      "      num_workers: 4\n",
      "      pin_memory: true\n",
      "    \n",
      "[NeMo W 2023-01-03 08:54:15 modelPT:149] If you intend to do validation, please call the ModelPT.setup_validation_data() or ModelPT.setup_multiple_validation_data() method and provide a valid configuration file to setup the validation data loader(s). \n",
      "    Validation config : \n",
      "    dataset:\n",
      "      _target_: nemo.collections.tts.torch.data.VocoderDataset\n",
      "      manifest_filepath: ./dataset/6097_5_mins/hifigan_dev_ft.json\n",
      "      sample_rate: 22050\n",
      "      n_segments: 66048\n",
      "      max_duration: null\n",
      "      min_duration: 3\n",
      "      load_precomputed_mel: true\n",
      "      hop_length: 256\n",
      "    dataloader_params:\n",
      "      drop_last: false\n",
      "      shuffle: false\n",
      "      batch_size: 16\n",
      "      num_workers: 4\n",
      "      pin_memory: true\n",
      "    \n",
      "[NeMo W 2023-01-03 08:54:15 nemo_logging:349] /usr/local/lib/python3.8/dist-packages/torch/jit/annotations.py:309: UserWarning: TorchScript will treat type annotations of Tensor dtype-specific subtypes as if they are normal Tensors. dtype constraints are not enforced in compilation either.\n",
      "      warnings.warn(\"TorchScript will treat type annotations of Tensor \"\n",
      "    \n",
      "[NeMo I 2023-01-03 08:54:15 features:267] PADDING: 0\n",
      "[NeMo I 2023-01-03 08:54:15 features:275] STFT using exact pad\n",
      "[NeMo I 2023-01-03 08:54:16 features:267] PADDING: 0\n",
      "[NeMo I 2023-01-03 08:54:16 features:275] STFT using exact pad\n",
      "[NeMo I 2023-01-03 08:54:18 save_restore_connector:243] Model HifiGanModel was successfully restored from /workspace/riva_demo/exp/ljspeech_to_6097_no_mixing_5_mins/HifiGan/2023-01-03_01-10-28/checkpoints/HifiGan.nemo.\n",
      "[NeMo I 2023-01-03 08:54:18 schema:154] Loaded schema file /usr/local/lib/python3.8/dist-packages/nemo2riva/validation_schemas/asr-stt-exported-encdecctcmodel.yaml for nemo.collections.asr.models.EncDecCTCModel\n",
      "[NeMo I 2023-01-03 08:54:18 schema:154] Loaded schema file /usr/local/lib/python3.8/dist-packages/nemo2riva/validation_schemas/tts-exported-radttsmodel.yaml for nemo.collections.tts.models.RadTTSModel\n",
      "[NeMo I 2023-01-03 08:54:18 schema:154] Loaded schema file /usr/local/lib/python3.8/dist-packages/nemo2riva/validation_schemas/tts-exported-hifiganmodel.yaml for nemo.collections.tts.models.HifiGanModel\n",
      "[NeMo I 2023-01-03 08:54:18 schema:154] Loaded schema file /usr/local/lib/python3.8/dist-packages/nemo2riva/validation_schemas/asr-stt-exported-encdectcmodelbpe.yaml for nemo.collections.asr.models.EncDecCTCModelBPE\n",
      "[NeMo I 2023-01-03 08:54:18 schema:154] Loaded schema file /usr/local/lib/python3.8/dist-packages/nemo2riva/validation_schemas/tts-exported-fastpitchmodel.yaml for nemo.collections.tts.models.FastPitchModel\n",
      "[NeMo I 2023-01-03 08:54:18 schema:154] Loaded schema file /usr/local/lib/python3.8/dist-packages/nemo2riva/validation_schemas/nlp-mt-exported-encdecmtmodel.yaml for nemo.collections.nlp.models.MTEncDecModel\n",
      "[NeMo I 2023-01-03 08:54:18 schema:154] Loaded schema file /usr/local/lib/python3.8/dist-packages/nemo2riva/validation_schemas/nlp-pc-exported-bert.yaml for nemo.collections.nlp.models.PunctuationCapitalizationModel\n",
      "[NeMo I 2023-01-03 08:54:18 schema:154] Loaded schema file /usr/local/lib/python3.8/dist-packages/nemo2riva/validation_schemas/asr-scr-exported-encdecclsmodel.yaml for nemo.collections.asr.models.classification_models.EncDecClassificationModel\n",
      "[NeMo I 2023-01-03 08:54:18 schema:154] Loaded schema file /usr/local/lib/python3.8/dist-packages/nemo2riva/validation_schemas/nlp-qa-exported-bert.yaml for nemo.collections.nlp.models.QAModel\n",
      "[NeMo I 2023-01-03 08:54:18 schema:154] Loaded schema file /usr/local/lib/python3.8/dist-packages/nemo2riva/validation_schemas/nlp-tc-exported-bert.yaml for nemo.collections.nlp.models.TextClassificationModel\n",
      "[NeMo I 2023-01-03 08:54:18 schema:154] Loaded schema file /usr/local/lib/python3.8/dist-packages/nemo2riva/validation_schemas/nlp-tkc-exported-bert.yaml for nemo.collections.nlp.models.TokenClassificationModel\n",
      "[NeMo I 2023-01-03 08:54:18 schema:154] Loaded schema file /usr/local/lib/python3.8/dist-packages/nemo2riva/validation_schemas/nlp-isc-exported-bert.yaml for nemo.collections.nlp.models.IntentSlotClassificationModel\n",
      "[NeMo I 2023-01-03 08:54:18 schema:193] Found validation schema for nemo.collections.tts.models.HifiGanModel at /usr/local/lib/python3.8/dist-packages/nemo2riva/validation_schemas/tts-exported-hifiganmodel.yaml\n",
      "[NeMo I 2023-01-03 08:54:18 schema:222] Checking installed NeMo version ... 1.14.0 OK (>=1.1)\n",
      "[NeMo I 2023-01-03 08:54:18 artifacts:65] Found model at ./model_weights.ckpt\n",
      "[NeMo I 2023-01-03 08:54:18 artifacts:142] Retrieved artifacts: dict_keys(['model_config.yaml'])\n",
      "[NeMo I 2023-01-03 08:54:18 cookbook:67] Exporting model HifiGanModel with config=ExportConfig(export_subnet=None, export_format='ONNX', export_file='model_graph.onnx', encryption=True, autocast=False, max_dim=None)\n",
      "Removing weight norm...\n",
      "Removing weight norm...\n",
      "[NeMo I 2023-01-03 08:54:20 exportable:88] Successfully exported HifiGanModel to /tmp/tmpe3gqxfcs/model_graph.onnx\n",
      "[NeMo I 2023-01-03 08:54:21 cookbook:154] Saving to ./outputs/Hifigan_Finetuned_FebMeetup.riva\n",
      "[NeMo I 2023-01-03 08:54:23 convert:95] Model saved to ./outputs/Hifigan_Finetuned_FebMeetup.riva\n"
     ]
    }
   ],
   "source": [
    "# export Hifi-Gan finetuned model\n",
    "# Note that encryption key should be specified with the \"--key\" argument in order to avoid errors.\n",
    "!nemo2riva --key woojin --out ./outputs/Hifigan_Finetuned_FebMeetup.riva $hg_last_file"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "94ca8f84",
   "metadata": {},
   "source": [
    "---\n",
    "## Riva ServiceMaker\n",
    "Servicemaker is the set of tools that aggregates all the necessary artifacts (models, files, configurations, and user settings)\n",
    "for Riva deployment to a target environment. It has two main components:\n",
    "\n",
    "* `riva-build`\n",
    "* `riva-deploy`\n",
    "\n",
    "![riva_build](https://docs.nvidia.com/deeplearning/riva/user-guide/docs/_images/servicemaker.png)\n",
    "\n",
    "To launch the ServiceMaker, run `./scripts/build_deploy/riva_servicemaker.sh` **at your workstation**.\n",
    "### Riva-build\n",
    "\n",
    "This step helps build a Riva-ready version of the model. It’s only output is an intermediate format (called a **RMIR**)\n",
    "of an end to end pipeline for the supported services within Riva. We are taking 2 TTS models in consideration -\n",
    "\n",
    "* [FastPitch](https://ngc.nvidia.com/catalog/models/nvidia:tao:speechsynthesis_english_fastpitch) (spectrogram generator)\n",
    "* [HiFi-GAN](https://ngc.nvidia.com/catalog/models/nvidia:tao:speechsynthesis_hifigan) (vocoder).<br>\n",
    "\n",
    "Here, we will use FastPitch finetuned model exported from the previous cell. `FastPitch_Finetuned_FebMeetup.riva` and Hifi-Gan `Hifigan_Finetuned_FebMeetup.riva`, located in `./outputs`\n",
    "\n",
    "`riva-build` is responsible for the combination of one or more exported models (.riva files) into a single file\n",
    "containing an intermediate format called Riva Model Intermediate Representation (.rmir). This file contains a\n",
    "deployment-agnostic specification of the whole end-to-end pipeline along with all the assets required for the\n",
    "final deployment and inference. Please checkout the [documentation](https://docs.nvidia.com/deeplearning/riva/user-guide/docs/service-tts.html#fastpitch-and-hifi-gan-pipeline-configuration) to find out more.\n",
    "\n",
    "**Inside the service-maker container**, move to the workspace( `/servicemaker-dev` and run `./scripts/build_deploy/riva_build.sh`.\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d4fbc342",
   "metadata": {},
   "source": [
    "`riva_build.sh` consists of\n",
    "```sh\n",
    "riva-build speech_synthesis \\\n",
    "        /servicemaker-dev/outputs/FastPitch_HifiGan_Finetuned_FebMeetup.rmir:woojin \\\n",
    "        /servicemaker-dev/outputs/FastPitch_Finetuned_FebMeetup.riva:woojin \\\n",
    "        /servicemaker-dev/outputs/Hifigan_Finetuned_FebMeetup.riva:woojin \\\n",
    "        --voice_name=woojin\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b7c45f74",
   "metadata": {},
   "source": [
    "The output is as follows.\n",
    "```\n",
    "root@e047e282eeea:/servicemaker-dev# ./scripts/build_deploy/riva_build.sh\n",
    "2023-01-03 09:05:59,488 [INFO] Packing binaries for preprocessor/ONNX : {'phone_dictionary_path': ('nemo.collections.tts.models.fastpitch.FastPitchModel', '5d608f737d954e90b5f348ee899ebe83_cmudict-0.7b_nv22.10'), 'mapping_file': ('nemo.collections.tts.models.fastpitch.FastPitchModel', 'mapping.txt')}\n",
    "2023-01-03 09:05:59,488 [INFO] Copying phone_dictionary_path:5d608f737d954e90b5f348ee899ebe83_cmudict-0.7b_nv22.10 -> preprocessor:preprocessor-5d608f737d954e90b5f348ee899ebe83_cmudict-0.7b_nv22.10\n",
    "2023-01-03 09:05:59,493 [INFO] Copying mapping_file:mapping.txt -> preprocessor:preprocessor-mapping.txt\n",
    "2023-01-03 09:05:59,493 [INFO] Packing binaries for encoderFastPitch/ONNX : {'onnx': ('nemo.collections.tts.models.fastpitch.FastPitchModel', 'model_graph.onnx')}\n",
    "2023-01-03 09:05:59,493 [INFO] Copying onnx:model_graph.onnx -> encoderFastPitch:encoderFastPitch-model_graph.onnx\n",
    "2023-01-03 09:06:00,331 [INFO] Packing binaries for hifigan/ONNX : {'onnx': ('nemo.collections.tts.models.hifigan.HifiGanModel', 'model_graph.onnx')}\n",
    "2023-01-03 09:06:00,331 [INFO] Copying onnx:model_graph.onnx -> hifigan:hifigan-model_graph.onnx\n",
    "2023-01-03 09:06:00,869 [INFO] Saving to /servicemaker-dev/outputs/FastPitch_HifiGan_Finetuned_FebMeetup.rmir\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d8be97b6",
   "metadata": {},
   "source": [
    "You can see that `FastPitch_HifiGan_Finetuned_FebMeetup.rmir` is created at `/servicemaker-dev/outputs`."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "88a96bbc",
   "metadata": {},
   "source": [
    "### Riva-deploy\n",
    "\n",
    "The deployment tool takes as input one or more Riva Model Intermediate Representation (RMIR) files and\n",
    "a target model repository directory. It creates an ensemble configuration specifying the pipeline for\n",
    "the execution and finally writes all those assets to the output model repository directory.\n",
    "\n",
    "Run `./scripts/build_deploy/riva_deploy.sh` at the location `/servicemaker-dev`.\n",
    "\n",
    "`riva_deploy.sh` consists of \n",
    "\n",
    "```sh\n",
    "riva-deploy /servicemaker-dev/outputs/FastPitch_HifiGan_Finetuned_FebMeetup.rmir:woojin /data/models\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5c102e99",
   "metadata": {},
   "source": [
    "The output is as follows.\n",
    "```\n",
    "root@e047e282eeea:/servicemaker-dev# ./scripts/build_deploy/riva_deploy.sh\n",
    "2023-01-03 09:08:54,166 [INFO] Writing Riva model repository to '/data/models'...\n",
    "2023-01-03 09:08:54,166 [INFO] The riva model repo target directory is /data/models\n",
    "2023-01-03 09:08:55,386 [INFO] Using onnx runtime\n",
    "2023-01-03 09:08:55,386 [INFO] Using tensorrt with fp16\n",
    "2023-01-03 09:08:55,386 [WARNING] /data/models/tts_preprocessor-woojin already exists, skipping deployment.  To force deployment rerun with -f or remove the /data/models/tts_preprocessor-woojin\n",
    "2023-01-03 09:08:55,386 [WARNING] /data/models/riva-onnx-fastpitch_encoder-woojin already exists, skipping deployment.  To force deployment rerun with -f or remove the /data/models/riva-onnx-fastpitch_encoder-woojin\n",
    "2023-01-03 09:08:55,386 [INFO] Extract_binaries for chunkerFastPitch -> /data/models/spectrogram_chunker-woojin/1\n",
    "2023-01-03 09:08:55,388 [INFO] Extract_binaries for hifigan -> /data/models/riva-trt-hifigan-woojin/1\n",
    "2023-01-03 09:08:55,388 [INFO] extracting {'onnx': ('nemo.collections.tts.models.hifigan.HifiGanModel', 'model_graph.onnx')} -> /data/models/riva-trt-hifigan-woojin/1\n",
    "2023-01-03 09:08:55,921 [INFO] Printing copied artifacts:\n",
    "2023-01-03 09:08:55,921 [INFO] {'onnx': '/data/models/riva-trt-hifigan-woojin/1/model_graph.onnx'}\n",
    "2023-01-03 09:08:55,921 [INFO] Building TRT engine from ONNX file {model_weights}\n",
    "[01/03/2023-09:08:58] [TRT] [W] CUDA lazy loading is not enabled. Enabling it can significantly reduce device memory usage. See `CUDA_MODULE_LOADING` in https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#env-vars\n",
    "[01/03/2023-09:08:58] [TRT] [W] parsers/onnx/onnx2trt_utils.cpp:375: Your ONNX model has been generated with INT64 weights, while TensorRT does not natively support INT64. Attempting to cast down to INT32.\n",
    "[01/03/2023-09:09:00] [TRT] [E] parsers/onnx/ModelImporter.cpp:520: Parse was called with a non-empty network definition\n",
    "[01/03/2023-09:13:34] [TRT] [W] TensorRT encountered issues when converting weights between types and that could affect accuracy.\n",
    "[01/03/2023-09:13:34] [TRT] [W] If this is not the desired behavior, please modify the weights or retrain with regularization to adjust the magnitude of the weights.\n",
    "[01/03/2023-09:13:34] [TRT] [W] Check verbose logs for the list of affected weights.\n",
    "[01/03/2023-09:13:34] [TRT] [W] - 85 weights are affected by this issue: Detected subnormal FP16 values.\n",
    "[01/03/2023-09:13:34] [TRT] [W] - 22 weights are affected by this issue: Detected values less than smallest positive FP16 subnormal value and converted them to the FP16 minimum subnormalized value.\n",
    "2023-01-03 09:13:34,766 [INFO] Writing engine to model repository: /data/models/riva-trt-hifigan-woojin/1/model.plan\n",
    "2023-01-03 09:13:34,802 [INFO] Extract_binaries for denoiser -> /data/models/tts_postprocessor-woojin/1\n",
    "2023-01-03 09:13:34,803 [INFO] Extract_binaries for self -> /data/models/fastpitch_hifigan_ensemble-woojin/1\n",
    "2023-01-03 09:13:34,803 [INFO] [{'model_name': 'tts_preprocessor-woojin', 'model_version': -1, 'input_map': {'input_string': 'INPUT'}, 'output_map': {'output': 'input_encoder', 'is_last_sentence': 'chunker_is_last_sentence', 'output_string': 'PROCESSED_TEXT', 'sentence_num': 'SENTENCE_NUM', 'pitch': 'input_encoder_pitch', 'duration': 'input_encoder_dur', 'volume': 'input_volume'}}, {'model_name': 'riva-onnx-fastpitch_encoder-woojin', 'model_version': -1, 'input_map': {'text': 'input_encoder', 'pitch': 'input_encoder_pitch', 'pace': 'input_encoder_dur', 'volume': 'input_volume'}, 'output_map': {'spect': 'output_encoder', 'num_frames': 'num_valid_frames_encoder', 'durs_predicted': 'durs_predicted', 'volume_aligned': 'volume_out'}}, {'model_name': 'spectrogram_chunker-woojin', 'model_version': 1, 'input_map': {'SPECTROGRAM': 'output_encoder', 'IS_LAST_SENTENCE': 'chunker_is_last_sentence', 'NUM_VALID_FRAMES_IN': 'num_valid_frames_encoder', 'SENTENCE_NUM': 'SENTENCE_NUM', 'DURATIONS': 'durs_predicted', 'PROCESSED_TEXT': 'PROCESSED_TEXT', 'VOLUME': 'volume_out'}, 'output_map': {'SPECTROGRAM_CHUNK': 'spectrogram_chunk', 'END_FLAG': 'END_FLAG', 'NUM_VALID_SAMPLES_OUT': 'num_valid_samples', 'SENTENCE_NUM': 'OUT_SENTENCE_NUM', 'DURATIONS': 'OUT_DURATIONS', 'PROCESSED_TEXT': 'OUT_PROCESSED_TEXT', 'VOLUME': 'OUT_VOLUME'}}, {'model_name': 'riva-trt-hifigan-woojin', 'model_version': 1, 'input_map': {'spec': 'spectrogram_chunk'}, 'output_map': {'audio': 'audio_chunk'}}, {'model_name': 'tts_postprocessor-woojin', 'model_version': 1, 'input_map': {'INPUT': 'audio_chunk', 'NUM_VALID_SAMPLES': 'num_valid_samples', 'Prosody_volume': 'OUT_VOLUME'}, 'output_map': {'OUTPUT': 'OUTPUT'}}]\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4f1b72e9",
   "metadata": {},
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ba151c19",
   "metadata": {},
   "source": [
    "Once deployed, Please check `/data/models` where serving output models located.\n",
    "\n",
    "`ls /data/models | grep woojin`\n",
    "```\n",
    "fastpitch_hifigan_ensemble-woojin\n",
    "riva-onnx-fastpitch_encoder-woojin\n",
    "riva-trt-hifigan-woojin\n",
    "spectrogram_chunker-woojin\n",
    "tts_postprocessor-woojin\n",
    "tts_preprocessor-woojin\n",
    "```\n",
    "\n",
    "You can also check how the pipeline of fastpitch-hifigan looks like by executing this command.\n",
    "\n",
    "`vi /data/models/fastpitch_hifigan_ensemble-woojin/config.pbtxt`\n",
    "\n",
    "`ensemble_scheduling` indicates the pipeline that Triton constructsmanually. `riva-deploy` automatically configure ensemble in Triton based on the information built in `.rmir` file. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "50fa5342",
   "metadata": {},
   "source": [
    "## Check Riva service for a newly deployed model."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3c90b6f5",
   "metadata": {},
   "source": [
    "Restart the riva-server again.\n",
    "\n",
    "from quickstart resource, run `./riva_stop.sh`.\n",
    "Then `/riva_start.sh`.\n",
    "\n",
    "You can see whether your new model is well deployed or not by `docker logs <<riva-server-container_name>>`. \n",
    "\n",
    "```\n",
    "+-------------------------------------------------------------------------------+---------+--------+\n",
    "| Model                                                                         | Version | Status |\n",
    "+-------------------------------------------------------------------------------+---------+--------+\n",
    "| citrinet-1024-en-US-asr-offline                                               | 1       | READY  |\n",
    "| citrinet-1024-en-US-asr-offline-ctc-decoder-cpu-streaming-offline             | 1       | READY  |\n",
    "| citrinet-1024-en-US-asr-offline-feature-extractor-streaming-offline           | 1       | READY  |\n",
    "| citrinet-1024-en-US-asr-offline-voice-activity-detector-ctc-streaming-offline | 1       | READY  |\n",
    "| citrinet-1024-en-US-asr-streaming                                             | 1       | READY  |\n",
    "| citrinet-1024-en-US-asr-streaming-ctc-decoder-cpu-streaming                   | 1       | READY  |\n",
    "| citrinet-1024-en-US-asr-streaming-feature-extractor-streaming                 | 1       | READY  |\n",
    "| citrinet-1024-en-US-asr-streaming-voice-activity-detector-ctc-streaming       | 1       | READY  |\n",
    "| fastpitch_hifigan_ensemble-ljspeech                                           | 1       | READY  |\n",
    "| fastpitch_hifigan_ensemble-woojin                                             | 1       | READY  |\n",
    "| intent_slot_detokenizer                                                       | 1       | READY  |\n",
    "| intent_slot_label_tokens_weather                                              | 1       | READY  |\n",
    "| intent_slot_tokenizer_weather                                                 | 1       | READY  |\n",
    "| punctuation_punctuation_postprocessor                                         | 1       | READY  |\n",
    "| punctuation_tokenizer                                                         | 1       | READY  |\n",
    "| qa_qa_postprocessor                                                           | 1       | READY  |\n",
    "| qa_tokenizer                                                                  | 1       | READY  |\n",
    "| riva-onnx-fastpitch_encoder-ljspeech                                          | 1       | READY  |\n",
    "| riva-onnx-fastpitch_encoder-woojin                                            | 1       | READY  |\n",
    "| riva-trt-citrinet-1024-en-US-asr-offline-am-streaming-offline                 | 1       | READY  |\n",
    "| riva-trt-citrinet-1024-en-US-asr-streaming-am-streaming                       | 1       | READY  |\n",
    "| riva-trt-hifigan-ljspeech                                                     | 1       | READY  |\n",
    "| riva-trt-hifigan-woojin                                                       | 1       | READY  |\n",
    "| riva-trt-riva_intent_weather-nn-bert-base-uncased                             | 1       | READY  |\n",
    "| riva-trt-riva_ner-nn-bert-base-uncased                                        | 1       | READY  |\n",
    "| riva-trt-riva_punctuation-nn-bert-base-uncased                                | 1       | READY  |\n",
    "| riva-trt-riva_qa-nn-bert-base-uncased                                         | 1       | READY  |\n",
    "| riva-trt-riva_text_classification_domain-nn-bert-base-uncased                 | 1       | READY  |\n",
    "| riva_intent_weather                                                           | 1       | READY  |\n",
    "| riva_ner                                                                      | 1       | READY  |\n",
    "| riva_punctuation                                                              | 1       | READY  |\n",
    "| riva_qa                                                                       | 1       | READY  |\n",
    "| riva_text_classification_domain                                               | 1       | READY  |\n",
    "| spectrogram_chunker-ljspeech                                                  | 1       | READY  |\n",
    "| spectrogram_chunker-woojin                                                    | 1       | READY  |\n",
    "| text_classification_tokenizer_domain                                          | 1       | READY  |\n",
    "| token_classification_detokenizer                                              | 1       | READY  |\n",
    "| token_classification_label_tokens                                             | 1       | READY  |\n",
    "| token_classification_tokenizer                                                | 1       | READY  |\n",
    "| tts_postprocessor-ljspeech                                                    | 1       | READY  |\n",
    "| tts_postprocessor-woojin                                                      | 1       | READY  |\n",
    "| tts_preprocessor-ljspeech                                                     | 1       | READY  |\n",
    "| tts_preprocessor-woojin                                                       | 1       | READY  |\n",
    "+-------------------------------------------------------------------------------+---------+--------+\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "716fe951-9f74-4901-95a9-cc181d4ff159",
   "metadata": {},
   "outputs": [],
   "source": [
    "import riva.client\n",
    "import IPython.display as ipd\n",
    "\n",
    "auth =riva.client.Auth(uri=\"localhost:50051\")\n",
    "riva_tts = riva.client.SpeechSynthesisService(auth)\n",
    "\n",
    "query = \"My name is Woojin from NVIDIA, Nice to meet you\"\n",
    "voice_name=\"woojin\"\n",
    "language_code=\"en-US\"\n",
    "sample_rate_hz=22050\n",
    "sampwidth = 2\n",
    "nchannels = 1\n",
    "\n",
    "response = riva_tts.synthesize(query, voice_name=voice_name, language_code = language_code, sample_rate_hz = sample_rate_hz)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "e4039381-b9a6-4e86-821d-0ff7167bb1c9",
   "metadata": {},
   "outputs": [
    {
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type=\"audio/x-wav\" />\n",
       "                    Your browser does not support the audio element.\n",
       "                </audio>\n",
       "              "
      ],
      "text/plain": [
       "<IPython.lib.display.Audio object>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import wave\n",
    "sample_output_file = \"./outputs/woojin_sample.wav\"\n",
    "with wave.open(offline_output_file, 'wb') as out_f:\n",
    "    out_f.setnchannels(nchannels)\n",
    "    out_f.setsampwidth(sampwidth)\n",
    "    out_f.setframerate(sample_rate_hz)\n",
    "    out_f.writeframesraw(response.audio)\n",
    "\n",
    "ipd.Audio(sample_output_file)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1fe50b16",
   "metadata": {},
   "source": [
    "## Sample: Virtual assistant for checking weather sample application\n",
    "<span style=\"color:red\">**This sample is not working as of now(Jan, 2023) due to the changes in the latest Riva interface. The working sample will be updated soon.**</span>\n",
    "\n",
    "This Virtual Assistant sample application demonstrates how to use Riva AI Services, specifically ASR, NLP, and TTS, to build a simple but complete conversational AI application. It demonstrates receiving input via speech from the user, interpreting the query via an intention recognition and slot filling approach, computing a response, and speaking this back to the user in a natural voice."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f0cb0a4e",
   "metadata": {},
   "source": [
    "![virtual_assistant_pipeline](https://docs.nvidia.com/deeplearning/riva/user-guide/docs/_images/va-framework.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8bd145cc",
   "metadata": {},
   "source": [
    "The provided samples are not complete chatbots, but are intended as simple examples of how to build basic task-oriented chatbots with Riva. Consequently, the intent classifier and slot filling models have been trained with small amounts of data and are not expected to be highly accurate."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "413e6f0e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found existing installation: Flask-SocketIO 4.3.1\n",
      "Uninstalling Flask-SocketIO-4.3.1:\n",
      "  Successfully uninstalled Flask-SocketIO-4.3.1\n",
      "Found existing installation: python-engineio 3.13.2\n",
      "Uninstalling python-engineio-3.13.2:\n",
      "  Successfully uninstalled python-engineio-3.13.2\n",
      "Found existing installation: python-socketio 4.6.0\n",
      "Uninstalling python-socketio-4.6.0:\n",
      "  Successfully uninstalled python-socketio-4.6.0\n",
      "Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com\n",
      "/usr/share/python-wheels/urllib3-1.25.8-py2.py3-none-any.whl/urllib3/connectionpool.py:999: InsecureRequestWarning: Unverified HTTPS request is being made to host 'pypi.ngc.nvidia.com'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#ssl-warnings\n",
      "Collecting Flask-SocketIO\n",
      "  Downloading Flask_SocketIO-5.3.2-py3-none-any.whl (17 kB)\n",
      "/usr/share/python-wheels/urllib3-1.25.8-py2.py3-none-any.whl/urllib3/connectionpool.py:999: InsecureRequestWarning: Unverified HTTPS request is being made to host 'pypi.ngc.nvidia.com'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#ssl-warnings\n",
      "Collecting python-engineio\n",
      "  Downloading python_engineio-4.3.4-py3-none-any.whl (52 kB)\n",
      "\u001b[K     |████████████████████████████████| 52 kB 43.3 MB/s eta 0:00:01\n",
      "/usr/share/python-wheels/urllib3-1.25.8-py2.py3-none-any.whl/urllib3/connectionpool.py:999: InsecureRequestWarning: Unverified HTTPS request is being made to host 'pypi.ngc.nvidia.com'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#ssl-warnings\n",
      "\u001b[?25hCollecting python-socketio\n",
      "  Downloading python_socketio-5.7.2-py3-none-any.whl (56 kB)\n",
      "\u001b[K     |████████████████████████████████| 56 kB 112.1 MB/s eta 0:00:01\n",
      "\u001b[?25hRequirement already satisfied: Flask>=0.9 in /usr/local/lib/python3.8/dist-packages (from Flask-SocketIO) (2.2.2)\n",
      "/usr/share/python-wheels/urllib3-1.25.8-py2.py3-none-any.whl/urllib3/connectionpool.py:999: InsecureRequestWarning: Unverified HTTPS request is being made to host 'pypi.ngc.nvidia.com'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#ssl-warnings\n",
      "Collecting bidict>=0.21.0\n",
      "  Downloading bidict-0.22.1-py3-none-any.whl (35 kB)\n",
      "Requirement already satisfied: Werkzeug>=2.2.2 in /usr/local/lib/python3.8/dist-packages (from Flask>=0.9->Flask-SocketIO) (2.2.2)\n",
      "Requirement already satisfied: itsdangerous>=2.0 in /usr/local/lib/python3.8/dist-packages (from Flask>=0.9->Flask-SocketIO) (2.1.2)\n",
      "Requirement already satisfied: click>=8.0 in /usr/local/lib/python3.8/dist-packages (from Flask>=0.9->Flask-SocketIO) (8.0.2)\n",
      "Requirement already satisfied: Jinja2>=3.0 in /usr/local/lib/python3.8/dist-packages (from Flask>=0.9->Flask-SocketIO) (3.1.2)\n",
      "Requirement already satisfied: importlib-metadata>=3.6.0; python_version < \"3.10\" in /usr/local/lib/python3.8/dist-packages (from Flask>=0.9->Flask-SocketIO) (6.0.0)\n",
      "Requirement already satisfied: MarkupSafe>=2.1.1 in /usr/local/lib/python3.8/dist-packages (from Werkzeug>=2.2.2->Flask>=0.9->Flask-SocketIO) (2.1.1)\n",
      "Requirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.8/dist-packages (from importlib-metadata>=3.6.0; python_version < \"3.10\"->Flask>=0.9->Flask-SocketIO) (3.11.0)\n",
      "Installing collected packages: bidict, python-engineio, python-socketio, Flask-SocketIO\n",
      "Successfully installed Flask-SocketIO-5.3.2 bidict-0.22.1 python-engineio-4.3.4 python-socketio-5.7.2\n"
     ]
    }
   ],
   "source": [
    "!pip install Flask-SocketIO python-engineio python-socketio"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6e722851",
   "metadata": {},
   "outputs": [],
   "source": [
    "!python3 ./samples/virtual-assistant/main.py"
   ]
  }
 ],
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