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{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "0Q99xpSOdHEM"
},
"source": [
"### Installing and importing dependencies"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "2am02YkxKBJ5",
"outputId": "344cb595-c9ba-4d9e-a970-2d486392ff36"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Collecting wget\n",
" Downloading wget-3.2.zip (10 kB)\n",
" Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
"Building wheels for collected packages: wget\n",
" Building wheel for wget (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for wget: filename=wget-3.2-py3-none-any.whl size=9656 sha256=bbb22603efb56b962ad6a42332b0daf8d137a1446f5e46d6af4c4c2fb216fbdd\n",
" Stored in directory: /root/.cache/pip/wheels/8b/f1/7f/5c94f0a7a505ca1c81cd1d9208ae2064675d97582078e6c769\n",
"Successfully built wget\n",
"Installing collected packages: wget\n",
"Successfully installed wget-3.2\n",
"Reading package lists... Done\n",
"Building dependency tree... Done\n",
"Reading state information... Done\n",
"libsndfile1 is already the newest version (1.0.31-2ubuntu0.1).\n",
"ffmpeg is already the newest version (7:4.4.2-0ubuntu0.22.04.1).\n",
"The following additional packages will be installed:\n",
" libopencore-amrnb0 libopencore-amrwb0 libsox-fmt-alsa libsox-fmt-base libsox3 libwavpack1\n",
"Suggested packages:\n",
" libsox-fmt-all\n",
"The following NEW packages will be installed:\n",
" libopencore-amrnb0 libopencore-amrwb0 libsox-fmt-alsa libsox-fmt-base libsox3 libwavpack1 sox\n",
"0 upgraded, 7 newly installed, 0 to remove and 45 not upgraded.\n",
"Need to get 617 kB of archives.\n",
"After this operation, 1,764 kB of additional disk space will be used.\n",
"Get:1 http://archive.ubuntu.com/ubuntu jammy/universe amd64 libopencore-amrnb0 amd64 0.1.5-1 [94.8 kB]\n",
"Get:2 http://archive.ubuntu.com/ubuntu jammy/universe amd64 libopencore-amrwb0 amd64 0.1.5-1 [49.1 kB]\n",
"Get:3 http://archive.ubuntu.com/ubuntu jammy-updates/universe amd64 libsox3 amd64 14.4.2+git20190427-2+deb11u2ubuntu0.22.04.1 [240 kB]\n",
"Get:4 http://archive.ubuntu.com/ubuntu jammy-updates/universe amd64 libsox-fmt-alsa amd64 14.4.2+git20190427-2+deb11u2ubuntu0.22.04.1 [11.2 kB]\n",
"Get:5 http://archive.ubuntu.com/ubuntu jammy/main amd64 libwavpack1 amd64 5.4.0-1build2 [83.7 kB]\n",
"Get:6 http://archive.ubuntu.com/ubuntu jammy-updates/universe amd64 libsox-fmt-base amd64 14.4.2+git20190427-2+deb11u2ubuntu0.22.04.1 [33.7 kB]\n",
"Get:7 http://archive.ubuntu.com/ubuntu jammy-updates/universe amd64 sox amd64 14.4.2+git20190427-2+deb11u2ubuntu0.22.04.1 [104 kB]\n",
"Fetched 617 kB in 0s (1,421 kB/s)\n",
"Selecting previously unselected package libopencore-amrnb0:amd64.\n",
"(Reading database ... 121918 files and directories currently installed.)\n",
"Preparing to unpack .../0-libopencore-amrnb0_0.1.5-1_amd64.deb ...\n",
"Unpacking libopencore-amrnb0:amd64 (0.1.5-1) ...\n",
"Selecting previously unselected package libopencore-amrwb0:amd64.\n",
"Preparing to unpack .../1-libopencore-amrwb0_0.1.5-1_amd64.deb ...\n",
"Unpacking libopencore-amrwb0:amd64 (0.1.5-1) ...\n",
"Selecting previously unselected package libsox3:amd64.\n",
"Preparing to unpack .../2-libsox3_14.4.2+git20190427-2+deb11u2ubuntu0.22.04.1_amd64.deb ...\n",
"Unpacking libsox3:amd64 (14.4.2+git20190427-2+deb11u2ubuntu0.22.04.1) ...\n",
"Selecting previously unselected package libsox-fmt-alsa:amd64.\n",
"Preparing to unpack .../3-libsox-fmt-alsa_14.4.2+git20190427-2+deb11u2ubuntu0.22.04.1_amd64.deb ...\n",
"Unpacking libsox-fmt-alsa:amd64 (14.4.2+git20190427-2+deb11u2ubuntu0.22.04.1) ...\n",
"Selecting previously unselected package libwavpack1:amd64.\n",
"Preparing to unpack .../4-libwavpack1_5.4.0-1build2_amd64.deb ...\n",
"Unpacking libwavpack1:amd64 (5.4.0-1build2) ...\n",
"Selecting previously unselected package libsox-fmt-base:amd64.\n",
"Preparing to unpack .../5-libsox-fmt-base_14.4.2+git20190427-2+deb11u2ubuntu0.22.04.1_amd64.deb ...\n",
"Unpacking libsox-fmt-base:amd64 (14.4.2+git20190427-2+deb11u2ubuntu0.22.04.1) ...\n",
"Selecting previously unselected package sox.\n",
"Preparing to unpack .../6-sox_14.4.2+git20190427-2+deb11u2ubuntu0.22.04.1_amd64.deb ...\n",
"Unpacking sox (14.4.2+git20190427-2+deb11u2ubuntu0.22.04.1) ...\n",
"Setting up libsox3:amd64 (14.4.2+git20190427-2+deb11u2ubuntu0.22.04.1) ...\n",
"Setting up libopencore-amrwb0:amd64 (0.1.5-1) ...\n",
"Setting up libsox-fmt-alsa:amd64 (14.4.2+git20190427-2+deb11u2ubuntu0.22.04.1) ...\n",
"Setting up libwavpack1:amd64 (5.4.0-1build2) ...\n",
"Setting up libopencore-amrnb0:amd64 (0.1.5-1) ...\n",
"Setting up libsox-fmt-base:amd64 (14.4.2+git20190427-2+deb11u2ubuntu0.22.04.1) ...\n",
"Setting up sox (14.4.2+git20190427-2+deb11u2ubuntu0.22.04.1) ...\n",
"Processing triggers for man-db (2.10.2-1) ...\n",
"Processing triggers for libc-bin (2.35-0ubuntu3.4) ...\n",
"/sbin/ldconfig.real: /usr/local/lib/libtbb.so.12 is not a symbolic link\n",
"\n",
"/sbin/ldconfig.real: /usr/local/lib/libtbbmalloc_proxy.so.2 is not a symbolic link\n",
"\n",
"/sbin/ldconfig.real: /usr/local/lib/libtbbbind_2_5.so.3 is not a symbolic link\n",
"\n",
"/sbin/ldconfig.real: /usr/local/lib/libtbbbind_2_0.so.3 is not a symbolic link\n",
"\n",
"/sbin/ldconfig.real: /usr/local/lib/libtbbbind.so.3 is not a symbolic link\n",
"\n",
"/sbin/ldconfig.real: /usr/local/lib/libtbbmalloc.so.2 is not a symbolic link\n",
"\n",
"\u001b[33mDEPRECATION: git+https://github.com/NVIDIA/NeMo.git#egg=nemo_toolkit[all] contains an egg fragment with a non-PEP 508 name pip 25.0 will enforce this behaviour change. A possible replacement is to use the req @ url syntax, and remove the egg fragment. Discussion can be found at https://github.com/pypa/pip/issues/11617\u001b[0m\u001b[33m\n",
"\u001b[0mCollecting nemo_toolkit[all]\n",
" Cloning https://github.com/NVIDIA/NeMo.git to /tmp/pip-install-2e_42u82/nemo-toolkit_3b6b672cfd704a23a1afb7a299463840\n",
" Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA/NeMo.git /tmp/pip-install-2e_42u82/nemo-toolkit_3b6b672cfd704a23a1afb7a299463840\n",
" Resolved https://github.com/NVIDIA/NeMo.git to commit 1fa961ba03ab5f8c91b278640e29807079373372\n",
" Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
" Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
" Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
"Collecting fiddle (from nemo_toolkit[all])\n",
" Downloading fiddle-0.3.0-py3-none-any.whl (419 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m419.8/419.8 kB\u001b[0m \u001b[31m2.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: huggingface-hub>=0.20.3 in /usr/local/lib/python3.10/dist-packages (from nemo_toolkit[all]) (0.23.1)\n",
"Requirement already satisfied: numba in /usr/local/lib/python3.10/dist-packages (from nemo_toolkit[all]) (0.58.1)\n",
"Requirement already satisfied: numpy>=1.22 in /usr/local/lib/python3.10/dist-packages (from nemo_toolkit[all]) (1.25.2)\n",
"Collecting onnx>=1.7.0 (from nemo_toolkit[all])\n",
" Downloading onnx-1.16.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (15.9 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m15.9/15.9 MB\u001b[0m \u001b[31m55.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: python-dateutil in /usr/local/lib/python3.10/dist-packages (from nemo_toolkit[all]) (2.8.2)\n",
"Collecting ruamel.yaml (from nemo_toolkit[all])\n",
" Downloading ruamel.yaml-0.18.6-py3-none-any.whl (117 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m117.8/117.8 kB\u001b[0m \u001b[31m11.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: scikit-learn in /usr/local/lib/python3.10/dist-packages (from nemo_toolkit[all]) (1.2.2)\n",
"Requirement already satisfied: setuptools>=65.5.1 in /usr/local/lib/python3.10/dist-packages (from nemo_toolkit[all]) (67.7.2)\n",
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"Requirement already satisfied: text-unidecode in /usr/local/lib/python3.10/dist-packages (from nemo_toolkit[all]) (1.3)\n",
"Requirement already satisfied: torch in /usr/local/lib/python3.10/dist-packages (from nemo_toolkit[all]) (2.3.0+cu121)\n",
"Requirement already satisfied: tqdm>=4.41.0 in /usr/local/lib/python3.10/dist-packages (from nemo_toolkit[all]) (4.66.4)\n",
"Requirement already satisfied: wget in /usr/local/lib/python3.10/dist-packages (from nemo_toolkit[all]) (3.2)\n",
"Requirement already satisfied: wrapt in /usr/local/lib/python3.10/dist-packages (from nemo_toolkit[all]) (1.14.1)\n",
"Collecting black~=24.3 (from nemo_toolkit[all])\n",
" Downloading black-24.4.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.8 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.8/1.8 MB\u001b[0m \u001b[31m61.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting click==8.0.2 (from nemo_toolkit[all])\n",
" Downloading click-8.0.2-py3-none-any.whl (97 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m97.6/97.6 kB\u001b[0m \u001b[31m12.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting isort<6.0.0,>5.1.0 (from nemo_toolkit[all])\n",
" Downloading isort-5.13.2-py3-none-any.whl (92 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m92.3/92.3 kB\u001b[0m \u001b[31m11.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting parameterized (from nemo_toolkit[all])\n",
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" Downloading pytest_mock-3.14.0-py3-none-any.whl (9.9 kB)\n",
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"\u001b[?25hCollecting wandb (from nemo_toolkit[all])\n",
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"\u001b[?25hCollecting omegaconf<=2.3 (from nemo_toolkit[all])\n",
" Downloading omegaconf-2.3.0-py3-none-any.whl (79 kB)\n",
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"\u001b[?25hCollecting pytorch-lightning>=2.2.1 (from nemo_toolkit[all])\n",
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"Building wheels for collected packages: causal-conv1d, antlr4-python3-runtime, progress, clip, fasttext, kaldi-python-io, nemo_toolkit, rouge-score, sox, distance, docopt, intervaltree, asciitree, cdifflib\n",
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" Created wheel for causal-conv1d: filename=causal_conv1d-1.2.2.post1-cp310-cp310-linux_x86_64.whl size=103643300 sha256=2bba8823ae89bd79c2d067978e0e533fab8298f69855bfc5d199828b278cf66c\n",
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" Created wheel for fasttext: filename=fasttext-0.9.2-cp310-cp310-linux_x86_64.whl size=4227137 sha256=75b8d49867f3a6050d83b244af20f2f1639ad368503e713e4729e98de3364ebd\n",
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" Stored in directory: /root/.cache/pip/wheels/b7/23/5f/49d3a826be576faf61d84e8028e1914bb36a5586ee2613b087\n",
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" Stored in directory: /tmp/pip-ephem-wheel-cache-2g05a16e/wheels/c3/4e/45/ab3d29aa73df619f27b371cacf809d5330a18f794879163c1b\n",
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" Stored in directory: /root/.cache/pip/wheels/74/e7/7b/8033be3ec5e4994595d01269fc9657c8fd83a0dcbf8536666a\n",
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" Building wheel for asciitree (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for asciitree: filename=asciitree-0.3.3-py3-none-any.whl size=5034 sha256=918a415f5aa5fedc4db5dbc458a2970531cd17c65d386b22899f84adef0531d0\n",
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" Building wheel for cdifflib (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for cdifflib: filename=cdifflib-1.2.6-cp310-cp310-linux_x86_64.whl size=27683 sha256=a7519a005f8d300aa7824d0dcf90e32c77b2fbac755372acafba3671729c2909\n",
" Stored in directory: /root/.cache/pip/wheels/87/a7/fd/8061e24ed08689045cb6d1ca303768dc463b20a5a338174841\n",
"Successfully built causal-conv1d antlr4-python3-runtime progress clip fasttext kaldi-python-io nemo_toolkit rouge-score sox distance docopt intervaltree asciitree cdifflib\n",
"Installing collected packages: trampoline, pydub, progress, plac, pangu, opencc, ninja, ijson, docopt, distance, clip, braceexpand, asciitree, antlr4-python3-runtime, aniso8601, addict, xxhash, webdataset, trimesh, textdistance, sox, smmap, shellingham, setproctitle, sentry-sdk, ruamel.yaml.clib, rapidfuzz, pytest-runner, pypinyin, pynini, pybind11, portalocker, pathspec, parameterized, onnx, omegaconf, nvidia-nvtx-cu12, nvidia-nvjitlink-cu12, nvidia-nccl-cu12, nvidia-curand-cu12, nvidia-cufft-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, numcodecs, mypy-extensions, marshmallow, markdown2, loguru, lilcom, lightning-utilities, libcst, latexcodec, kornia-rs, kaldiio, kaldi-python-io, jmespath, jedi, isort, intervaltree, ftfy, fasteners, faiss-cpu, einops, docutils, docker-pycreds, dill, decord, cytoolz, colorama, click, cdifflib, attrdict, zarr, sacremoses, sacrebleu, ruamel.yaml, resampy, pytest-mock, pypinyin-dict, PyMCubes, pyloudnorm, pybtex, pyannote.core, nvidia-cusparse-cu12, nvidia-cudnn-cu12, multiprocess, Levenshtein, jiwer, hydra-core, gitdb, fiddle, fasttext, einops-exts, botocore, black, typer, texterrors, s3transfer, rouge-score, pybtex-docutils, nvidia-cusolver-cu12, lhotse, gitpython, flask-restful, diffusers, wandb, transformers, sphinxcontrib-bibtex, pyannote.database, g2p-en, datasets, boto3, torchsde, torchmetrics, torchdiffeq, sentence-transformers, pyannote.metrics, nerfacc, nemo_toolkit, nemo-text-processing, kornia, causal-conv1d, accelerated-scan, timm, pytorch-lightning, taming-transformers, open-clip-torch\n",
" Attempting uninstall: docutils\n",
" Found existing installation: docutils 0.18.1\n",
" Uninstalling docutils-0.18.1:\n",
" Successfully uninstalled docutils-0.18.1\n",
" Attempting uninstall: click\n",
" Found existing installation: click 8.1.7\n",
" Uninstalling click-8.1.7:\n",
" Successfully uninstalled click-8.1.7\n",
" Attempting uninstall: typer\n",
" Found existing installation: typer 0.9.4\n",
" Uninstalling typer-0.9.4:\n",
" Successfully uninstalled typer-0.9.4\n",
" Attempting uninstall: transformers\n",
" Found existing installation: transformers 4.41.0\n",
" Uninstalling transformers-4.41.0:\n",
" Successfully uninstalled transformers-4.41.0\n",
"\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
"spacy 3.7.4 requires typer<0.10.0,>=0.3.0, but you have typer 0.12.3 which is incompatible.\n",
"weasel 0.3.4 requires typer<0.10.0,>=0.3.0, but you have typer 0.12.3 which is incompatible.\u001b[0m\u001b[31m\n",
"\u001b[0mSuccessfully installed Levenshtein-0.22.0 PyMCubes-0.1.4 accelerated-scan-0.2.0 addict-2.4.0 aniso8601-9.0.1 antlr4-python3-runtime-4.9.3 asciitree-0.3.3 attrdict-2.0.1 black-24.4.2 boto3-1.34.113 botocore-1.34.113 braceexpand-0.1.7 causal-conv1d-1.2.2.post1 cdifflib-1.2.6 click-8.0.2 clip-0.2.0 colorama-0.4.6 cytoolz-0.12.3 datasets-2.19.1 decord-0.6.0 diffusers-0.28.0 dill-0.3.8 distance-0.1.3 docker-pycreds-0.4.0 docopt-0.6.2 docutils-0.17.1 einops-0.8.0 einops-exts-0.0.4 faiss-cpu-1.8.0 fasteners-0.19 fasttext-0.9.2 fiddle-0.3.0 flask-restful-0.3.10 ftfy-6.2.0 g2p-en-2.1.0 gitdb-4.0.11 gitpython-3.1.43 hydra-core-1.3.2 ijson-3.2.3 intervaltree-3.1.0 isort-5.13.2 jedi-0.19.1 jiwer-2.5.2 jmespath-1.0.1 kaldi-python-io-1.2.2 kaldiio-2.18.0 kornia-0.7.2 kornia-rs-0.1.3 latexcodec-3.0.0 lhotse-1.23.0 libcst-1.4.0 lightning-utilities-0.11.2 lilcom-1.7 loguru-0.7.2 markdown2-2.4.13 marshmallow-3.21.2 multiprocess-0.70.16 mypy-extensions-1.0.0 nemo-text-processing-1.0.2 nemo_toolkit-2.0.0rc1 nerfacc-0.5.3 ninja-1.11.1.1 numcodecs-0.12.1 nvidia-cublas-cu12-12.1.3.1 nvidia-cuda-cupti-cu12-12.1.105 nvidia-cuda-nvrtc-cu12-12.1.105 nvidia-cuda-runtime-cu12-12.1.105 nvidia-cudnn-cu12-8.9.2.26 nvidia-cufft-cu12-11.0.2.54 nvidia-curand-cu12-10.3.2.106 nvidia-cusolver-cu12-11.4.5.107 nvidia-cusparse-cu12-12.1.0.106 nvidia-nccl-cu12-2.20.5 nvidia-nvjitlink-cu12-12.5.40 nvidia-nvtx-cu12-12.1.105 omegaconf-2.3.0 onnx-1.16.1 open-clip-torch-2.24.0 opencc-1.1.6 pangu-4.0.6.1 parameterized-0.9.0 pathspec-0.12.1 plac-1.4.3 portalocker-2.8.2 progress-1.6 pyannote.core-5.0.0 pyannote.database-5.1.0 pyannote.metrics-3.2.1 pybind11-2.12.0 pybtex-0.24.0 pybtex-docutils-1.0.3 pydub-0.25.1 pyloudnorm-0.1.1 pynini-2.1.5 pypinyin-0.51.0 pypinyin-dict-0.8.0 pytest-mock-3.14.0 pytest-runner-6.0.1 pytorch-lightning-2.2.5 rapidfuzz-2.13.7 resampy-0.4.3 rouge-score-0.1.2 ruamel.yaml-0.18.6 ruamel.yaml.clib-0.2.8 s3transfer-0.10.1 sacrebleu-2.4.2 sacremoses-0.1.1 sentence-transformers-2.7.0 sentry-sdk-2.3.1 setproctitle-1.3.3 shellingham-1.5.4 smmap-5.0.1 sox-1.5.0 sphinxcontrib-bibtex-2.6.2 taming-transformers-0.0.1 textdistance-4.6.2 texterrors-0.4.4 timm-1.0.3 torchdiffeq-0.2.3 torchmetrics-1.4.0.post0 torchsde-0.2.6 trampoline-0.1.2 transformers-4.40.2 trimesh-4.4.0 typer-0.12.3 wandb-0.17.0 webdataset-0.2.86 xxhash-3.4.1 zarr-2.18.2\n"
]
}
],
"source": [
"!pip install wget\n",
"!apt-get install sox libsndfile1 ffmpeg\n",
"!pip install matplotlib>=3.3.2\n",
"\n",
"!python -m pip install git+https://github.com/NVIDIA/NeMo.git@1fa961ba03ab5f8c91b278640e29807079373372#egg=nemo_toolkit[all]\n",
"!python -m pip install pyannote.audio==3.2.0"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"id": "WLLmJFoeBWt7"
},
"outputs": [],
"source": [
"import torch\n",
"import torchaudio\n",
"from nemo.collections.asr.models import EncDecCTCModel\n",
"from nemo.collections.asr.modules.audio_preprocessing import (\n",
" AudioToMelSpectrogramPreprocessor as NeMoAudioToMelSpectrogramPreprocessor,\n",
")\n",
"from nemo.collections.asr.parts.preprocessing.features import (\n",
" FilterbankFeaturesTA as NeMoFilterbankFeaturesTA,\n",
")"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "8oUuhRnadATl"
},
"source": [
"### Downloading config, weights and audio example"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "OD99UH_9U8UW",
"outputId": "dd3cb10c-66cd-42f6-cbd2-8e9e738a172a"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"--2024-05-28 07:16:36-- https://n-ws-q0bez.s3pd12.sbercloud.ru/b-ws-q0bez-jpv/GigaAM/example.wav\n",
"Resolving n-ws-q0bez.s3pd12.sbercloud.ru (n-ws-q0bez.s3pd12.sbercloud.ru)... 37.230.193.192\n",
"Connecting to n-ws-q0bez.s3pd12.sbercloud.ru (n-ws-q0bez.s3pd12.sbercloud.ru)|37.230.193.192|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 361324 (353K) [application/octet-stream]\n",
"Saving to: ‘example.wav’\n",
"\n",
"example.wav 100%[===================>] 352.86K 646KB/s in 0.5s \n",
"\n",
"2024-05-28 07:16:38 (646 KB/s) - ‘example.wav’ saved [361324/361324]\n",
"\n"
]
}
],
"source": [
"import locale\n",
"\n",
"locale.getpreferredencoding = lambda: \"UTF-8\"\n",
"\n",
"# Loading weights, config and example wav for CTC-model\n",
"!wget https://n-ws-q0bez.s3pd12.sbercloud.ru/b-ws-q0bez-jpv/GigaAM/ctc_model_weights.ckpt\n",
"!wget https://n-ws-q0bez.s3pd12.sbercloud.ru/b-ws-q0bez-jpv/GigaAM/ctc_model_config.yaml\n",
"!wget https://n-ws-q0bez.s3pd12.sbercloud.ru/b-ws-q0bez-jpv/GigaAM/example.wav\n",
"!wget https://n-ws-q0bez.s3pd12.sbercloud.ru/b-ws-q0bez-jpv/GigaAM/long_example.wav"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "7l6p192UWtLe"
},
"source": [
"### Adding modules for features extraction"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"id": "gzdGDuz3ZN2V"
},
"outputs": [],
"source": [
"class FilterbankFeaturesTA(NeMoFilterbankFeaturesTA):\n",
" def __init__(self, mel_scale: str = \"htk\", wkwargs=None, **kwargs):\n",
" if \"window_size\" in kwargs:\n",
" del kwargs[\"window_size\"]\n",
" if \"window_stride\" in kwargs:\n",
" del kwargs[\"window_stride\"]\n",
"\n",
" super().__init__(**kwargs)\n",
"\n",
" self._mel_spec_extractor: torchaudio.transforms.MelSpectrogram = (\n",
" torchaudio.transforms.MelSpectrogram(\n",
" sample_rate=self._sample_rate,\n",
" win_length=self.win_length,\n",
" hop_length=self.hop_length,\n",
" n_mels=kwargs[\"nfilt\"],\n",
" window_fn=self.torch_windows[kwargs[\"window\"]],\n",
" mel_scale=mel_scale,\n",
" norm=kwargs[\"mel_norm\"],\n",
" n_fft=kwargs[\"n_fft\"],\n",
" f_max=kwargs.get(\"highfreq\", None),\n",
" f_min=kwargs.get(\"lowfreq\", 0),\n",
" wkwargs=wkwargs,\n",
" )\n",
" )\n",
"\n",
"\n",
"class AudioToMelSpectrogramPreprocessor(NeMoAudioToMelSpectrogramPreprocessor):\n",
" def __init__(self, mel_scale: str = \"htk\", **kwargs):\n",
" super().__init__(**kwargs)\n",
" kwargs[\"nfilt\"] = kwargs[\"features\"]\n",
" del kwargs[\"features\"]\n",
" self.featurizer = (\n",
" FilterbankFeaturesTA( # Deprecated arguments; kept for config compatibility\n",
" mel_scale=mel_scale,\n",
" **kwargs,\n",
" )\n",
" )"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "pAS_1RpLWpjh"
},
"source": [
"### Transcribation example witch CTC-model"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "D5dm-IG_KvY0",
"outputId": "f04c3f8f-8ee3-43ca-8a91-bae19f9bbcf7"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[NeMo I 2024-05-28 20:34:54 features:305] PADDING: 0\n"
]
}
],
"source": [
"device = \"cuda\" if torch.cuda.is_available() else \"cpu\"\n",
"\n",
"model = EncDecCTCModel.from_config_file(\"./ctc_model_config.yaml\")\n",
"ckpt = torch.load(\"./ctc_model_weights.ckpt\", map_location=\"cpu\")\n",
"model.load_state_dict(ckpt, strict=False)\n",
"model.eval()\n",
"model = model.to(device)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "nlrRmRPvKxYq",
"outputId": "5dc3722a-3795-4e18-f12f-bbad168bd48f"
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Transcribing: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:00<00:00, 1.26it/s]\n"
]
},
{
"data": {
"text/plain": [
"['ничьих не требуя похвал счастлив уж я надеждой сладкой что дева с трепетом любви посмотрит может быть украдкой на песни грешные мои у лукоморья дуб зеленый']"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"model.transcribe([\"example.wav\"])"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "5HoUmN9FaFKa"
},
"source": [
"### Long-form transcription example\n"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"from io import BytesIO\n",
"from typing import List, Tuple\n",
"\n",
"import numpy as np\n",
"from pyannote.audio import Pipeline\n",
"from pydub import AudioSegment"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Function for segmentation"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"def audiosegment_to_numpy(audiosegment: AudioSegment) -> np.ndarray:\n",
" \"\"\"Convert AudioSegment to numpy array.\"\"\"\n",
" samples = np.array(audiosegment.get_array_of_samples())\n",
" if audiosegment.channels == 2:\n",
" samples = samples.reshape((-1, 2))\n",
"\n",
" samples = samples.astype(np.float32, order=\"C\") / 32768.0\n",
" return samples\n",
"\n",
"\n",
"def segment_audio(\n",
" audio_path: str,\n",
" pipeline: Pipeline,\n",
" max_duration: float = 22.0,\n",
" min_duration: float = 15.0,\n",
" new_chunk_threshold: float = 0.2,\n",
") -> Tuple[List[np.ndarray], List[List[float]]]:\n",
" # Prepare audio for pyannote vad pipeline\n",
" audio = AudioSegment.from_wav(audio_path)\n",
" audio_bytes = BytesIO()\n",
" audio.export(audio_bytes, format=\"wav\")\n",
" audio_bytes.seek(0)\n",
"\n",
" # Process audio with pipeline to obtain segments with speech activity\n",
" sad_segments = pipeline({\"uri\": \"filename\", \"audio\": audio_bytes})\n",
"\n",
" segments = []\n",
" curr_duration = 0\n",
" curr_start = 0\n",
" curr_end = 0\n",
" boundaries = []\n",
"\n",
" # Concat segments from pipeline into chunks for asr according to max/min duration\n",
" for segment in sad_segments.get_timeline().support():\n",
" start = max(0, segment.start)\n",
" end = min(len(audio) / 1000, segment.end)\n",
" if (\n",
" curr_duration > min_duration and start - curr_end > new_chunk_threshold\n",
" ) or (curr_duration + (end - curr_end) > max_duration):\n",
" audio_segment = audiosegment_to_numpy(\n",
" audio[curr_start * 1000 : curr_end * 1000]\n",
" )\n",
" segments.append(audio_segment)\n",
" boundaries.append([curr_start, curr_end])\n",
" curr_start = start\n",
"\n",
" curr_end = end\n",
" curr_duration = curr_end - curr_start\n",
"\n",
" if curr_duration != 0:\n",
" audio_segment = audiosegment_to_numpy(\n",
" audio[curr_start * 1000 : curr_end * 1000]\n",
" )\n",
" segments.append(audio_segment)\n",
" boundaries.append([curr_start, curr_end])\n",
"\n",
" return segments, boundaries"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Initializing pyannote VAD pipeline and using it for segmentation"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Lightning automatically upgraded your loaded checkpoint from v1.1.3 to v2.2.4. To apply the upgrade to your files permanently, run `python -m pytorch_lightning.utilities.upgrade_checkpoint ../libs_cache/pyannote_cache/models--pyannote--segmentation/snapshots/059e96f964841d40f1a5e755bb7223f76666bba4/pytorch_model.bin`\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Model was trained with pyannote.audio 0.0.1, yours is 3.2.0. Bad things might happen unless you revert pyannote.audio to 0.x.\n",
"Model was trained with torch 1.7.1, yours is 2.3.0+cu121. Bad things might happen unless you revert torch to 1.x.\n"
]
}
],
"source": [
"HF_TOKEN = \"<YOUR HF TOKEN>\"\n",
"\n",
"# Initialize pyannote pipeline\n",
"pipeline = Pipeline.from_pretrained(\n",
" \"pyannote/voice-activity-detection\", use_auth_token=HF_TOKEN\n",
")\n",
"pipeline = pipeline.to(torch.device(device))\n",
"\n",
"# Segment audio\n",
"segments, boundaries = segment_audio(\"./long_example.wav\", pipeline)"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Transcribing: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:00<00:00, 3.23it/s]\n"
]
}
],
"source": [
"# Transcribing segments\n",
"BATCH_SIZE = 10\n",
"transcriptions = model.transcribe(segments, batch_size=BATCH_SIZE)"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[00:00:00 - 00:16:83]: вечерня отошла давно но в кельях тихо и темно уже и сам эгумин строгий свои молитвы прекратил и кости ветхие склонил перекрестясь на одр убогий кругом и сон и тишина но церкви дверь отворена\n",
"\n",
"[00:17:10 - 00:32:61]: трепещет луч лампады и тускло озаряет он и темную живопись икон и возлощенные оклады и раздается в тишине то тяжкий вздох то шепот важный и мрачно дремлет в вашине старинный свод\n",
"\n",
"[00:32:95 - 00:49:33]: глухой и влажный стоят за клиросом чернец и грешник неподвижны оба и шепот их как глаз из гроба и грешник бледен как мертвец монах несчастный полно перестань\n",
"\n",
"[00:49:82 - 01:05:74]: ужасна исповедь злодея заплачена тобою дань тому кто в злобе пламенее лукаво грешника блюдет и к вечной гибели ведет смирись опомнись время время раскаянья покров\n",
"\n",
"[01:05:97 - 01:10:90]: я разрешу тебя грехов сложи мучительное бремя\n",
"\n"
]
}
],
"source": [
"def format_time(seconds):\n",
" hours = int(seconds // 3600)\n",
" minutes = int((seconds % 3600) // 60)\n",
" seconds = seconds % 60\n",
" full_seconds = int(seconds)\n",
" milliseconds = int((seconds - full_seconds) * 100)\n",
"\n",
" if hours > 0:\n",
" return f\"{hours:02}:{minutes:02}:{full_seconds:02}:{milliseconds:02}\"\n",
" else:\n",
" return f\"{minutes:02}:{full_seconds:02}:{milliseconds:02}\"\n",
"\n",
"\n",
"for transcription, boundary in zip(transcriptions, boundaries):\n",
" boundary_0 = format_time(boundary[0])\n",
" boundary_1 = format_time(boundary[1])\n",
" print(f\"[{boundary_0} - {boundary_1}]: {transcription}\\n\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"accelerator": "GPU",
"colab": {
"gpuType": "T4",
"provenance": []
},
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.12"
}
},
"nbformat": 4,
"nbformat_minor": 1
}
|