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  },
  "cells": [
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Ehiz1dPdq0Qp",
        "outputId": "e805bc8e-5592-4033-8dfe-1a6213f9f2de"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Cloning into 'TTS'...\n",
            "remote: Enumerating objects: 32844, done.\u001b[K\n",
            "remote: Total 32844 (delta 0), reused 0 (delta 0), pack-reused 32844 (from 1)\u001b[K\n",
            "Receiving objects: 100% (32844/32844), 166.18 MiB | 24.41 MiB/s, done.\n",
            "Resolving deltas: 100% (23832/23832), done.\n"
          ]
        }
      ],
      "source": [
        "!git clone https://github.com/coqui-ai/TTS.git"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# open /content/TTS/TTS/tts/models/xtts.py and replaca it with the xtts.py  in the repo"
      ],
      "metadata": {
        "id": "YC74Nx2I5Ste"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "! pip install -U pip\n",
        "!pip install -e ./TTS"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "oT19bUMYrOBr",
        "outputId": "7c0328f4-d85d-40d2-e681-8ab7eeb3b9b5"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: pip in /usr/local/lib/python3.11/dist-packages (24.1.2)\n",
            "Collecting pip\n",
            "  Downloading pip-25.2-py3-none-any.whl.metadata (4.7 kB)\n",
            "Downloading pip-25.2-py3-none-any.whl (1.8 MB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.8/1.8 MB\u001b[0m \u001b[31m41.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hInstalling collected packages: pip\n",
            "  Attempting uninstall: pip\n",
            "    Found existing installation: pip 24.1.2\n",
            "    Uninstalling pip-24.1.2:\n",
            "      Successfully uninstalled pip-24.1.2\n",
            "Successfully installed pip-25.2\n",
            "Obtaining file:///content/TTS\n",
            "  Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
            "  Checking if build backend supports build_editable ... \u001b[?25l\u001b[?25hdone\n",
            "  Getting requirements to build editable ... \u001b[?25l\u001b[?25hdone\n",
            "  Preparing editable metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "Requirement already satisfied: numpy>=1.24.3 in /usr/local/lib/python3.11/dist-packages (from TTS==0.22.0) (2.0.2)\n",
            "Requirement already satisfied: cython>=0.29.30 in /usr/local/lib/python3.11/dist-packages (from TTS==0.22.0) (3.0.12)\n",
            "Requirement already satisfied: scipy>=1.11.2 in /usr/local/lib/python3.11/dist-packages (from TTS==0.22.0) (1.15.3)\n",
            "Requirement already satisfied: torch>=2.1 in /usr/local/lib/python3.11/dist-packages (from TTS==0.22.0) (2.6.0+cu124)\n",
            "Requirement already satisfied: torchaudio in /usr/local/lib/python3.11/dist-packages (from TTS==0.22.0) (2.6.0+cu124)\n",
            "Requirement already satisfied: soundfile>=0.12.0 in /usr/local/lib/python3.11/dist-packages (from TTS==0.22.0) (0.13.1)\n",
            "Requirement already satisfied: librosa>=0.10.0 in /usr/local/lib/python3.11/dist-packages (from TTS==0.22.0) (0.11.0)\n",
            "Requirement already satisfied: scikit-learn>=1.3.0 in /usr/local/lib/python3.11/dist-packages (from TTS==0.22.0) (1.6.1)\n",
            "Requirement already satisfied: numba>=0.57.0 in /usr/local/lib/python3.11/dist-packages (from TTS==0.22.0) (0.60.0)\n",
            "Requirement already satisfied: inflect>=5.6.0 in /usr/local/lib/python3.11/dist-packages (from TTS==0.22.0) (7.5.0)\n",
            "Requirement already satisfied: tqdm>=4.64.1 in /usr/local/lib/python3.11/dist-packages (from TTS==0.22.0) (4.67.1)\n",
            "Collecting anyascii>=0.3.0 (from TTS==0.22.0)\n",
            "  Downloading anyascii-0.3.3-py3-none-any.whl.metadata (1.6 kB)\n",
            "Requirement already satisfied: pyyaml>=6.0 in /usr/local/lib/python3.11/dist-packages (from TTS==0.22.0) (6.0.2)\n",
            "Requirement already satisfied: fsspec>=2023.6.0 in /usr/local/lib/python3.11/dist-packages (from TTS==0.22.0) (2025.3.2)\n",
            "Requirement already satisfied: aiohttp>=3.8.1 in /usr/local/lib/python3.11/dist-packages (from TTS==0.22.0) (3.11.15)\n",
            "Requirement already satisfied: packaging>=23.1 in /usr/local/lib/python3.11/dist-packages (from TTS==0.22.0) (24.2)\n",
            "Collecting mutagen==1.47.0 (from TTS==0.22.0)\n",
            "  Downloading mutagen-1.47.0-py3-none-any.whl.metadata (1.7 kB)\n",
            "Requirement already satisfied: flask>=2.0.1 in /usr/local/lib/python3.11/dist-packages (from TTS==0.22.0) (3.1.1)\n",
            "Collecting pysbd>=0.3.4 (from TTS==0.22.0)\n",
            "  Downloading pysbd-0.3.4-py3-none-any.whl.metadata (6.1 kB)\n",
            "Requirement already satisfied: umap-learn>=0.5.1 in /usr/local/lib/python3.11/dist-packages (from TTS==0.22.0) (0.5.9.post2)\n",
            "Collecting pandas<2.0,>=1.4 (from TTS==0.22.0)\n",
            "  Downloading pandas-1.5.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (11 kB)\n",
            "Requirement already satisfied: matplotlib>=3.7.0 in /usr/local/lib/python3.11/dist-packages (from TTS==0.22.0) (3.10.0)\n",
            "Collecting trainer>=0.0.36 (from TTS==0.22.0)\n",
            "  Downloading trainer-0.0.36-py3-none-any.whl.metadata (8.1 kB)\n",
            "Collecting coqpit>=0.0.16 (from TTS==0.22.0)\n",
            "  Downloading coqpit-0.0.17-py3-none-any.whl.metadata (11 kB)\n",
            "Requirement already satisfied: jieba in /usr/local/lib/python3.11/dist-packages (from TTS==0.22.0) (0.42.1)\n",
            "Collecting pypinyin (from TTS==0.22.0)\n",
            "  Downloading pypinyin-0.55.0-py2.py3-none-any.whl.metadata (12 kB)\n",
            "Collecting hangul_romanize (from TTS==0.22.0)\n",
            "  Downloading hangul_romanize-0.1.0-py3-none-any.whl.metadata (1.2 kB)\n",
            "Collecting gruut==2.2.3 (from gruut[de,es,fr]==2.2.3->TTS==0.22.0)\n",
            "  Downloading gruut-2.2.3.tar.gz (73 kB)\n",
            "  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "Collecting jamo (from TTS==0.22.0)\n",
            "  Downloading jamo-0.4.1-py3-none-any.whl.metadata (2.3 kB)\n",
            "Requirement already satisfied: nltk in /usr/local/lib/python3.11/dist-packages (from TTS==0.22.0) (3.9.1)\n",
            "Collecting g2pkk>=0.1.1 (from TTS==0.22.0)\n",
            "  Downloading g2pkk-0.1.2-py3-none-any.whl.metadata (2.0 kB)\n",
            "Collecting bangla (from TTS==0.22.0)\n",
            "  Downloading bangla-0.0.5-py3-none-any.whl.metadata (4.7 kB)\n",
            "Collecting bnnumerizer (from TTS==0.22.0)\n",
            "  Downloading bnnumerizer-0.0.2.tar.gz (4.7 kB)\n",
            "  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "Collecting bnunicodenormalizer (from TTS==0.22.0)\n",
            "  Downloading bnunicodenormalizer-0.1.7-py3-none-any.whl.metadata (22 kB)\n",
            "Requirement already satisfied: einops>=0.6.0 in /usr/local/lib/python3.11/dist-packages (from TTS==0.22.0) (0.8.1)\n",
            "Requirement already satisfied: transformers>=4.33.0 in /usr/local/lib/python3.11/dist-packages (from TTS==0.22.0) (4.53.2)\n",
            "Collecting encodec>=0.1.1 (from TTS==0.22.0)\n",
            "  Downloading encodec-0.1.1.tar.gz (3.7 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m3.7/3.7 MB\u001b[0m \u001b[31m95.8 MB/s\u001b[0m  \u001b[33m0:00:00\u001b[0m\n",
            "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "Collecting unidecode>=1.3.2 (from TTS==0.22.0)\n",
            "  Downloading Unidecode-1.4.0-py3-none-any.whl.metadata (13 kB)\n",
            "Collecting num2words (from TTS==0.22.0)\n",
            "  Downloading num2words-0.5.14-py3-none-any.whl.metadata (13 kB)\n",
            "Requirement already satisfied: spacy>=3 in /usr/local/lib/python3.11/dist-packages (from spacy[ja]>=3->TTS==0.22.0) (3.8.7)\n",
            "Requirement already satisfied: Babel<3.0.0,>=2.8.0 in /usr/local/lib/python3.11/dist-packages (from gruut==2.2.3->gruut[de,es,fr]==2.2.3->TTS==0.22.0) (2.17.0)\n",
            "Collecting dateparser~=1.1.0 (from gruut==2.2.3->gruut[de,es,fr]==2.2.3->TTS==0.22.0)\n",
            "  Downloading dateparser-1.1.8-py2.py3-none-any.whl.metadata (27 kB)\n",
            "Collecting gruut-ipa<1.0,>=0.12.0 (from gruut==2.2.3->gruut[de,es,fr]==2.2.3->TTS==0.22.0)\n",
            "  Downloading gruut-ipa-0.13.0.tar.gz (101 kB)\n",
            "  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "Collecting gruut_lang_en~=2.0.0 (from gruut==2.2.3->gruut[de,es,fr]==2.2.3->TTS==0.22.0)\n",
            "  Downloading gruut_lang_en-2.0.1.tar.gz (15.3 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m15.3/15.3 MB\u001b[0m \u001b[31m222.4 MB/s\u001b[0m  \u001b[33m0:00:00\u001b[0m\n",
            "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "Collecting jsonlines~=1.2.0 (from gruut==2.2.3->gruut[de,es,fr]==2.2.3->TTS==0.22.0)\n",
            "  Downloading jsonlines-1.2.0-py2.py3-none-any.whl.metadata (1.3 kB)\n",
            "Collecting networkx<3.0.0,>=2.5.0 (from gruut==2.2.3->gruut[de,es,fr]==2.2.3->TTS==0.22.0)\n",
            "  Downloading networkx-2.8.8-py3-none-any.whl.metadata (5.1 kB)\n",
            "Collecting numpy>=1.24.3 (from TTS==0.22.0)\n",
            "  Downloading numpy-1.26.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (61 kB)\n",
            "Collecting python-crfsuite~=0.9.7 (from gruut==2.2.3->gruut[de,es,fr]==2.2.3->TTS==0.22.0)\n",
            "  Downloading python_crfsuite-0.9.11-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (4.3 kB)\n",
            "Collecting gruut_lang_de~=2.0.0 (from gruut[de,es,fr]==2.2.3->TTS==0.22.0)\n",
            "  Downloading gruut_lang_de-2.0.1.tar.gz (18.1 MB)\n",
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            "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "Collecting gruut_lang_es~=2.0.0 (from gruut[de,es,fr]==2.2.3->TTS==0.22.0)\n",
            "  Downloading gruut_lang_es-2.0.1.tar.gz (31.4 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m31.4/31.4 MB\u001b[0m \u001b[31m65.7 MB/s\u001b[0m  \u001b[33m0:00:00\u001b[0m\n",
            "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "Collecting gruut_lang_fr~=2.0.0 (from gruut[de,es,fr]==2.2.3->TTS==0.22.0)\n",
            "  Downloading gruut_lang_fr-2.0.2.tar.gz (10.9 MB)\n",
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            "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "Requirement already satisfied: python-dateutil in /usr/local/lib/python3.11/dist-packages (from dateparser~=1.1.0->gruut==2.2.3->gruut[de,es,fr]==2.2.3->TTS==0.22.0) (2.9.0.post0)\n",
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            "Collecting docopt>=0.6.2 (from num2words->TTS==0.22.0)\n",
            "  Downloading docopt-0.6.2.tar.gz (25 kB)\n",
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            "\u001b[?25hDownloading trainer-0.0.36-py3-none-any.whl (51 kB)\n",
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            "Downloading hangul_romanize-0.1.0-py3-none-any.whl (4.6 kB)\n",
            "Downloading jamo-0.4.1-py3-none-any.whl (9.5 kB)\n",
            "Downloading pypinyin-0.55.0-py2.py3-none-any.whl (840 kB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m840.2/840.2 kB\u001b[0m \u001b[31m20.1 MB/s\u001b[0m  \u001b[33m0:00:00\u001b[0m\n",
            "\u001b[?25hBuilding wheels for collected packages: TTS, gruut, gruut-ipa, gruut_lang_de, gruut_lang_en, gruut_lang_es, gruut_lang_fr, docopt, encodec, bnnumerizer\n",
            "  Building editable for TTS (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for TTS: filename=tts-0.22.0-0.editable-cp311-cp311-linux_x86_64.whl size=15145 sha256=0bb5f84a16ca152a0d2aab138227b3b133796bda4a4a571439ac1d8056569241\n",
            "  Stored in directory: /tmp/pip-ephem-wheel-cache-xkdmvkhd/wheels/a1/31/b6/e4589a2b0e214f7f2ecd464f78aeb7998645a43ff4721bf68b\n",
            "\u001b[33m  DEPRECATION: Building 'gruut' using the legacy setup.py bdist_wheel mechanism, which will be removed in a future version. pip 25.3 will enforce this behaviour change. A possible replacement is to use the standardized build interface by setting the `--use-pep517` option, (possibly combined with `--no-build-isolation`), or adding a `pyproject.toml` file to the source tree of 'gruut'. Discussion can be found at https://github.com/pypa/pip/issues/6334\u001b[0m\u001b[33m\n",
            "\u001b[0m  Building wheel for gruut (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for gruut: filename=gruut-2.2.3-py3-none-any.whl size=75785 sha256=07cde8288027c15b5b89dac1f23c7be92f8aff09ed9428e3ad9e05a2a516cc40\n",
            "  Stored in directory: /root/.cache/pip/wheels/1f/a0/bc/4dacab52579ab464cffafbe7a8e3792dd36ad9ac288b264843\n",
            "\u001b[33m  DEPRECATION: Building 'gruut-ipa' using the legacy setup.py bdist_wheel mechanism, which will be removed in a future version. pip 25.3 will enforce this behaviour change. A possible replacement is to use the standardized build interface by setting the `--use-pep517` option, (possibly combined with `--no-build-isolation`), or adding a `pyproject.toml` file to the source tree of 'gruut-ipa'. Discussion can be found at https://github.com/pypa/pip/issues/6334\u001b[0m\u001b[33m\n",
            "\u001b[0m  Building wheel for gruut-ipa (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for gruut-ipa: filename=gruut_ipa-0.13.0-py3-none-any.whl size=104873 sha256=09f55489c24fae627f164d9c610e61042569d7bc77e402d37f3baddb3bae4ad2\n",
            "  Stored in directory: /root/.cache/pip/wheels/c7/10/89/a5908dd7a9a032229684b7679396785e19f816667f788087fb\n",
            "\u001b[33m  DEPRECATION: Building 'gruut_lang_de' using the legacy setup.py bdist_wheel mechanism, which will be removed in a future version. pip 25.3 will enforce this behaviour change. A possible replacement is to use the standardized build interface by setting the `--use-pep517` option, (possibly combined with `--no-build-isolation`), or adding a `pyproject.toml` file to the source tree of 'gruut_lang_de'. Discussion can be found at https://github.com/pypa/pip/issues/6334\u001b[0m\u001b[33m\n",
            "\u001b[0m  Building wheel for gruut_lang_de (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for gruut_lang_de: filename=gruut_lang_de-2.0.1-py3-none-any.whl size=18498314 sha256=43afb744ea9b751d37fd9e7100882fe9c201547d7b04ce9a0aee92d3604e6092\n",
            "  Stored in directory: /root/.cache/pip/wheels/87/fa/df/5fdf5d3cc26ba859b8698a1f28581d1a6aa081edc6df9847ab\n",
            "\u001b[33m  DEPRECATION: Building 'gruut_lang_en' using the legacy setup.py bdist_wheel mechanism, which will be removed in a future version. pip 25.3 will enforce this behaviour change. A possible replacement is to use the standardized build interface by setting the `--use-pep517` option, (possibly combined with `--no-build-isolation`), or adding a `pyproject.toml` file to the source tree of 'gruut_lang_en'. Discussion can be found at https://github.com/pypa/pip/issues/6334\u001b[0m\u001b[33m\n",
            "\u001b[0m  Building wheel for gruut_lang_en (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for gruut_lang_en: filename=gruut_lang_en-2.0.1-py3-none-any.whl size=15326858 sha256=57104a99fa54cf647024a53050ff7e24243336fb5587a9ec6d0bf0406aba360d\n",
            "  Stored in directory: /root/.cache/pip/wheels/06/30/52/dc5cd222b4bbde285838fed1f96636e96f85cd75493e79a978\n",
            "\u001b[33m  DEPRECATION: Building 'gruut_lang_es' using the legacy setup.py bdist_wheel mechanism, which will be removed in a future version. pip 25.3 will enforce this behaviour change. A possible replacement is to use the standardized build interface by setting the `--use-pep517` option, (possibly combined with `--no-build-isolation`), or adding a `pyproject.toml` file to the source tree of 'gruut_lang_es'. Discussion can be found at https://github.com/pypa/pip/issues/6334\u001b[0m\u001b[33m\n",
            "\u001b[0m  Building wheel for gruut_lang_es (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for gruut_lang_es: filename=gruut_lang_es-2.0.1-py3-none-any.whl size=32173927 sha256=ce90c358530f15632c69404a9664d5ae07c32e71b51ceb82d74ce6a8912f530d\n",
            "  Stored in directory: /root/.cache/pip/wheels/c8/eb/59/30b5d15e56347e595f613036cbea0f807ad9621c75cd75d912\n",
            "\u001b[33m  DEPRECATION: Building 'gruut_lang_fr' using the legacy setup.py bdist_wheel mechanism, which will be removed in a future version. pip 25.3 will enforce this behaviour change. A possible replacement is to use the standardized build interface by setting the `--use-pep517` option, (possibly combined with `--no-build-isolation`), or adding a `pyproject.toml` file to the source tree of 'gruut_lang_fr'. Discussion can be found at https://github.com/pypa/pip/issues/6334\u001b[0m\u001b[33m\n",
            "\u001b[0m  Building wheel for gruut_lang_fr (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for gruut_lang_fr: filename=gruut_lang_fr-2.0.2-py3-none-any.whl size=10968767 sha256=5a6d58ef19c5e346a61b59ae27b552e3dcbfabe731c6159b3977f37d8b484d67\n",
            "  Stored in directory: /root/.cache/pip/wheels/e0/e7/a0/7c416a3eeaa94ca71bf7bcbc6289cced2263d8ba35e82444bb\n",
            "\u001b[33m  DEPRECATION: Building 'docopt' using the legacy setup.py bdist_wheel mechanism, which will be removed in a future version. pip 25.3 will enforce this behaviour change. A possible replacement is to use the standardized build interface by setting the `--use-pep517` option, (possibly combined with `--no-build-isolation`), or adding a `pyproject.toml` file to the source tree of 'docopt'. Discussion can be found at https://github.com/pypa/pip/issues/6334\u001b[0m\u001b[33m\n",
            "\u001b[0m  Building wheel for docopt (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for docopt: filename=docopt-0.6.2-py2.py3-none-any.whl size=13706 sha256=313bbfcf5c0e505e0b6ee03e2297028e6c6aeb5258175cfc7d9d1d892ca3c913\n",
            "  Stored in directory: /root/.cache/pip/wheels/1a/b0/8c/4b75c4116c31f83c8f9f047231251e13cc74481cca4a78a9ce\n",
            "\u001b[33m  DEPRECATION: Building 'encodec' using the legacy setup.py bdist_wheel mechanism, which will be removed in a future version. pip 25.3 will enforce this behaviour change. A possible replacement is to use the standardized build interface by setting the `--use-pep517` option, (possibly combined with `--no-build-isolation`), or adding a `pyproject.toml` file to the source tree of 'encodec'. Discussion can be found at https://github.com/pypa/pip/issues/6334\u001b[0m\u001b[33m\n",
            "\u001b[0m  Building wheel for encodec (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for encodec: filename=encodec-0.1.1-py3-none-any.whl size=45759 sha256=d469189ea173137cda73b11aaf8f77f595afe2e4e2f1140e4574e097337b8ef4\n",
            "  Stored in directory: /root/.cache/pip/wheels/b4/a4/88/480018a664e58ca7ce6708759193ee51b017b3b72aa3df8a85\n",
            "\u001b[33m  DEPRECATION: Building 'bnnumerizer' using the legacy setup.py bdist_wheel mechanism, which will be removed in a future version. pip 25.3 will enforce this behaviour change. A possible replacement is to use the standardized build interface by setting the `--use-pep517` option, (possibly combined with `--no-build-isolation`), or adding a `pyproject.toml` file to the source tree of 'bnnumerizer'. Discussion can be found at https://github.com/pypa/pip/issues/6334\u001b[0m\u001b[33m\n",
            "\u001b[0m  Building wheel for bnnumerizer (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for bnnumerizer: filename=bnnumerizer-0.0.2-py3-none-any.whl size=5260 sha256=6f6bc7f8a520ef7590c49fce44466c20ae1105613bca27ab72abbc4310339531\n",
            "  Stored in directory: /root/.cache/pip/wheels/9e/b9/e3/4145416693824818c0b931988a692676ecd4bbf2ea41d1eedd\n",
            "Successfully built TTS gruut gruut-ipa gruut_lang_de gruut_lang_en gruut_lang_es gruut_lang_fr docopt encodec bnnumerizer\n",
            "Installing collected packages: sudachipy, jamo, hangul_romanize, gruut_lang_fr, gruut_lang_es, gruut_lang_en, gruut_lang_de, docopt, bnunicodenormalizer, bnnumerizer, bangla, unidecode, sudachidict_core, python-crfsuite, pysbd, pypinyin, nvidia-nvjitlink-cu12, nvidia-curand-cu12, nvidia-cufft-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, numpy, num2words, networkx, mutagen, jsonlines, gruut-ipa, coqpit, anyascii, pandas, nvidia-cusparse-cu12, nvidia-cudnn-cu12, g2pkk, dateparser, blis, nvidia-cusolver-cu12, gruut, thinc, trainer, encodec, TTS\n",
            "\u001b[2K  Attempting uninstall: nvidia-nvjitlink-cu12\n",
            "\u001b[2K    Found existing installation: nvidia-nvjitlink-cu12 12.5.82\n",
            "\u001b[2K    Uninstalling nvidia-nvjitlink-cu12-12.5.82:\n",
            "\u001b[2K      Successfully uninstalled nvidia-nvjitlink-cu12-12.5.82\n",
            "\u001b[2K  Attempting uninstall: nvidia-curand-cu12\n",
            "\u001b[2K    Found existing installation: nvidia-curand-cu12 10.3.6.82\n",
            "\u001b[2K    Uninstalling nvidia-curand-cu12-10.3.6.82:\n",
            "\u001b[2K      Successfully uninstalled nvidia-curand-cu12-10.3.6.82\n",
            "\u001b[2K  Attempting uninstall: nvidia-cufft-cu12\n",
            "\u001b[2K    Found existing installation: nvidia-cufft-cu12 11.2.3.61\n",
            "\u001b[2K    Uninstalling nvidia-cufft-cu12-11.2.3.61:\n",
            "\u001b[2K      Successfully uninstalled nvidia-cufft-cu12-11.2.3.61\n",
            "\u001b[2K  Attempting uninstall: nvidia-cuda-runtime-cu12\n",
            "\u001b[2K    Found existing installation: nvidia-cuda-runtime-cu12 12.5.82\n",
            "\u001b[2K    Uninstalling nvidia-cuda-runtime-cu12-12.5.82:\n",
            "\u001b[2K      Successfully uninstalled nvidia-cuda-runtime-cu12-12.5.82\n",
            "\u001b[2K  Attempting uninstall: nvidia-cuda-nvrtc-cu12\n",
            "\u001b[2K    Found existing installation: nvidia-cuda-nvrtc-cu12 12.5.82\n",
            "\u001b[2K    Uninstalling nvidia-cuda-nvrtc-cu12-12.5.82:\n",
            "\u001b[2K      Successfully uninstalled nvidia-cuda-nvrtc-cu12-12.5.82\n",
            "\u001b[2K  Attempting uninstall: nvidia-cuda-cupti-cu12\n",
            "\u001b[2K    Found existing installation: nvidia-cuda-cupti-cu12 12.5.82\n",
            "\u001b[2K    Uninstalling nvidia-cuda-cupti-cu12-12.5.82:\n",
            "\u001b[2K      Successfully uninstalled nvidia-cuda-cupti-cu12-12.5.82\n",
            "\u001b[2K  Attempting uninstall: nvidia-cublas-cu12\n",
            "\u001b[2K    Found existing installation: nvidia-cublas-cu12 12.5.3.2\n",
            "\u001b[2K    Uninstalling nvidia-cublas-cu12-12.5.3.2:\n",
            "\u001b[2K      Successfully uninstalled nvidia-cublas-cu12-12.5.3.2\n",
            "\u001b[2K  Attempting uninstall: numpy\n",
            "\u001b[2K    Found existing installation: numpy 2.0.2\n",
            "\u001b[2K    Uninstalling numpy-2.0.2:\n",
            "\u001b[2K      Successfully uninstalled numpy-2.0.2\n",
            "\u001b[2K  Attempting uninstall: networkx\n",
            "\u001b[2K    Found existing installation: networkx 3.5\n",
            "\u001b[2K    Uninstalling networkx-3.5:\n",
            "\u001b[2K      Successfully uninstalled networkx-3.5\n",
            "\u001b[2K  Attempting uninstall: pandas\n",
            "\u001b[2K    Found existing installation: pandas 2.2.2\n",
            "\u001b[2K    Uninstalling pandas-2.2.2:\n",
            "\u001b[2K      Successfully uninstalled pandas-2.2.2\n",
            "\u001b[2K  Attempting uninstall: nvidia-cusparse-cu12\n",
            "\u001b[2K    Found existing installation: nvidia-cusparse-cu12 12.5.1.3\n",
            "\u001b[2K    Uninstalling nvidia-cusparse-cu12-12.5.1.3:\n",
            "\u001b[2K      Successfully uninstalled nvidia-cusparse-cu12-12.5.1.3\n",
            "\u001b[2K  Attempting uninstall: nvidia-cudnn-cu12\n",
            "\u001b[2K    Found existing installation: nvidia-cudnn-cu12 9.3.0.75\n",
            "\u001b[2K    Uninstalling nvidia-cudnn-cu12-9.3.0.75:\n",
            "\u001b[2K      Successfully uninstalled nvidia-cudnn-cu12-9.3.0.75\n",
            "\u001b[2K  Attempting uninstall: blis\n",
            "\u001b[2K    Found existing installation: blis 1.3.0\n",
            "\u001b[2K    Uninstalling blis-1.3.0:\n",
            "\u001b[2K      Successfully uninstalled blis-1.3.0\n",
            "\u001b[2K  Attempting uninstall: nvidia-cusolver-cu12\n",
            "\u001b[2K    Found existing installation: nvidia-cusolver-cu12 11.6.3.83\n",
            "\u001b[2K    Uninstalling nvidia-cusolver-cu12-11.6.3.83:\n",
            "\u001b[2K      Successfully uninstalled nvidia-cusolver-cu12-11.6.3.83\n",
            "\u001b[2K  Attempting uninstall: thinc\n",
            "\u001b[2K    Found existing installation: thinc 8.3.6\n",
            "\u001b[2K    Uninstalling thinc-8.3.6:\n",
            "\u001b[2K      Successfully uninstalled thinc-8.3.6\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m43/43\u001b[0m [TTS]\n",
            "\u001b[1A\u001b[2K\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",
            "google-colab 1.0.0 requires pandas==2.2.2, but you have pandas 1.5.3 which is incompatible.\n",
            "cudf-cu12 25.2.1 requires pandas<2.2.4dev0,>=2.0, but you have pandas 1.5.3 which is incompatible.\n",
            "dask-cudf-cu12 25.2.2 requires pandas<2.2.4dev0,>=2.0, but you have pandas 1.5.3 which is incompatible.\n",
            "dask-expr 1.1.21 requires pandas>=2, but you have pandas 1.5.3 which is incompatible.\n",
            "mizani 0.13.5 requires pandas>=2.2.0, but you have pandas 1.5.3 which is incompatible.\n",
            "nx-cugraph-cu12 25.2.0 requires networkx>=3.2, but you have networkx 2.8.8 which is incompatible.\n",
            "opencv-python-headless 4.12.0.88 requires numpy<2.3.0,>=2; python_version >= \"3.9\", but you have numpy 1.26.4 which is incompatible.\n",
            "plotnine 0.14.6 requires pandas>=2.2.0, but you have pandas 1.5.3 which is incompatible.\n",
            "scikit-image 0.25.2 requires networkx>=3.0, but you have networkx 2.8.8 which is incompatible.\n",
            "xarray 2025.3.1 requires pandas>=2.1, but you have pandas 1.5.3 which is incompatible.\u001b[0m\u001b[31m\n",
            "\u001b[0mSuccessfully installed TTS-0.22.0 anyascii-0.3.3 bangla-0.0.5 blis-1.2.1 bnnumerizer-0.0.2 bnunicodenormalizer-0.1.7 coqpit-0.0.17 dateparser-1.1.8 docopt-0.6.2 encodec-0.1.1 g2pkk-0.1.2 gruut-2.2.3 gruut-ipa-0.13.0 gruut_lang_de-2.0.1 gruut_lang_en-2.0.1 gruut_lang_es-2.0.1 gruut_lang_fr-2.0.2 hangul_romanize-0.1.0 jamo-0.4.1 jsonlines-1.2.0 mutagen-1.47.0 networkx-2.8.8 num2words-0.5.14 numpy-1.26.4 nvidia-cublas-cu12-12.4.5.8 nvidia-cuda-cupti-cu12-12.4.127 nvidia-cuda-nvrtc-cu12-12.4.127 nvidia-cuda-runtime-cu12-12.4.127 nvidia-cudnn-cu12-9.1.0.70 nvidia-cufft-cu12-11.2.1.3 nvidia-curand-cu12-10.3.5.147 nvidia-cusolver-cu12-11.6.1.9 nvidia-cusparse-cu12-12.3.1.170 nvidia-nvjitlink-cu12-12.4.127 pandas-1.5.3 pypinyin-0.55.0 pysbd-0.3.4 python-crfsuite-0.9.11 sudachidict_core-20250825 sudachipy-0.6.10 thinc-8.3.4 trainer-0.0.36 unidecode-1.4.0\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.colab-display-data+json": {
              "pip_warning": {
                "packages": [
                  "numpy"
                ]
              },
              "id": "a32de083182e41ff94ca60631b2a716b"
            }
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install transformers==4.44.0"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "SJ1NTyq9remn",
        "outputId": "d03875ca-3aec-417e-a76c-3b3433155a28"
      },
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting transformers==4.44.0\n",
            "  Downloading transformers-4.44.0-py3-none-any.whl.metadata (43 kB)\n",
            "Requirement already satisfied: filelock in /usr/local/lib/python3.11/dist-packages (from transformers==4.44.0) (3.18.0)\n",
            "Requirement already satisfied: huggingface-hub<1.0,>=0.23.2 in /usr/local/lib/python3.11/dist-packages (from transformers==4.44.0) (0.33.4)\n",
            "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.11/dist-packages (from transformers==4.44.0) (1.26.4)\n",
            "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.11/dist-packages (from transformers==4.44.0) (24.2)\n",
            "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.11/dist-packages (from transformers==4.44.0) (6.0.2)\n",
            "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.11/dist-packages (from transformers==4.44.0) (2024.11.6)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.11/dist-packages (from transformers==4.44.0) (2.32.3)\n",
            "Requirement already satisfied: safetensors>=0.4.1 in /usr/local/lib/python3.11/dist-packages (from transformers==4.44.0) (0.5.3)\n",
            "Collecting tokenizers<0.20,>=0.19 (from transformers==4.44.0)\n",
            "  Downloading tokenizers-0.19.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (6.7 kB)\n",
            "Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.11/dist-packages (from transformers==4.44.0) (4.67.1)\n",
            "Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.11/dist-packages (from huggingface-hub<1.0,>=0.23.2->transformers==4.44.0) (2025.3.2)\n",
            "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.11/dist-packages (from huggingface-hub<1.0,>=0.23.2->transformers==4.44.0) (4.14.1)\n",
            "Requirement already satisfied: hf-xet<2.0.0,>=1.1.2 in /usr/local/lib/python3.11/dist-packages (from huggingface-hub<1.0,>=0.23.2->transformers==4.44.0) (1.1.5)\n",
            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.11/dist-packages (from requests->transformers==4.44.0) (3.4.2)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.11/dist-packages (from requests->transformers==4.44.0) (3.10)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.11/dist-packages (from requests->transformers==4.44.0) (2.4.0)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.11/dist-packages (from requests->transformers==4.44.0) (2025.7.14)\n",
            "Downloading transformers-4.44.0-py3-none-any.whl (9.5 MB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m9.5/9.5 MB\u001b[0m \u001b[31m173.2 MB/s\u001b[0m  \u001b[33m0:00:00\u001b[0m\n",
            "\u001b[?25hDownloading tokenizers-0.19.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.6 MB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m3.6/3.6 MB\u001b[0m \u001b[31m172.4 MB/s\u001b[0m  \u001b[33m0:00:00\u001b[0m\n",
            "\u001b[?25hInstalling collected packages: tokenizers, transformers\n",
            "\u001b[2K  Attempting uninstall: tokenizers\n",
            "\u001b[2K    Found existing installation: tokenizers 0.21.2\n",
            "\u001b[2K    Uninstalling tokenizers-0.21.2:\n",
            "\u001b[2K      Successfully uninstalled tokenizers-0.21.2\n",
            "\u001b[2K  Attempting uninstall: transformers\n",
            "\u001b[2K    Found existing installation: transformers 4.53.2\n",
            "\u001b[2K    Uninstalling transformers-4.53.2:\n",
            "\u001b[2K      Successfully uninstalled transformers-4.53.2\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2/2\u001b[0m [transformers]\n",
            "\u001b[1A\u001b[2KSuccessfully installed tokenizers-0.19.1 transformers-4.44.0\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from huggingface_hub import snapshot_download\n",
        "\n",
        "snapshot_download(\n",
        "    repo_id=\"OmarSamir/EGTTS-V0.1\",\n",
        "    repo_type=\"model\",\n",
        "    local_dir=\"/content/EGTTS-V0.1\",\n",
        "    local_dir_use_symlinks=False\n",
        ")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 395,
          "referenced_widgets": [
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        },
        "id": "kKHUI9rQs0bU",
        "outputId": "1a93ac11-a201-41bf-ae85-e6e279bb59e1"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.11/dist-packages/huggingface_hub/file_download.py:980: UserWarning: `local_dir_use_symlinks` parameter is deprecated and will be ignored. The process to download files to a local folder has been updated and do not rely on symlinks anymore. You only need to pass a destination folder as`local_dir`.\n",
            "For more details, check out https://huggingface.co/docs/huggingface_hub/main/en/guides/download#download-files-to-local-folder.\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Fetching 9 files:   0%|          | 0/9 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
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          "metadata": {}
        },
        {
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        {
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          "data": {
            "text/plain": [
              "config.json: 0.00B [00:00, ?B/s]"
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          "metadata": {}
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        {
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          "data": {
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              "LICENSE.txt: 0.00B [00:00, ?B/s]"
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            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "4d6f8de8a6e841ebaebb81f798b1023f"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'/content/EGTTS-V0.1'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 2
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!ls /content/EGTTS-V0.1"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ibuklZsts-PR",
        "outputId": "d368d2f4-6423-4188-f34e-302e31781cc8"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "config.json  LICENSE.txt  README.md    speaker_reference.wav\n",
            "LICENSE      model.pth\t  sample.flac  vocab.json\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import os\n",
        "import torch\n",
        "import torchaudio\n",
        "from TTS.tts.configs.xtts_config import XttsConfig\n",
        "from TTS.tts.models.xtts import Xtts\n",
        "\n",
        "CONFIG_FILE_PATH = '/content/EGTTS-V0.1/config.json'\n",
        "VOCAB_FILE_PATH = '/content/EGTTS-V0.1/vocab.json'\n",
        "MODEL_PATH = '/content/EGTTS-V0.1/'\n",
        "\n",
        "print(\"Loading model...\")\n",
        "config = XttsConfig()\n",
        "config.load_json(CONFIG_FILE_PATH)\n",
        "model = Xtts.init_from_config(config)\n",
        "model.load_checkpoint(config, checkpoint_dir=MODEL_PATH, use_deepspeed=False, vocab_path=VOCAB_FILE_PATH)\n",
        "model.cuda()\n",
        "\n",
        "\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 121,
          "referenced_widgets": [
            "90eac10940d740089954077e56cdb9a7",
            "2e1417aabcf9478683f6f2032d8c5b61",
            "b313222ed8294433ac51bf3cce27ecac",
            "fd427382547944ac8076011f1d42dc2a",
            "120e49e2bd164dbfa235aef0e65fb23e",
            "4c01c049c8604eee89d5f05e7cf634ce",
            "f9dcd768a8db4a938d8d7f415861e064",
            "90745b119eb54e2b9f23c4212925c72f",
            "93adeb72e6864c46977a93334147884b",
            "78a0fa30154c4f62913ff3ace8d5112f",
            "902475ad8e154a36837332bb2848e8f9"
          ]
        },
        "id": "vsA0HZ-8tWty",
        "outputId": "38a6fb16-4dd4-4e92-a6b0-4464c4fb4465"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "The cache for model files in Transformers v4.22.0 has been updated. Migrating your old cache. This is a one-time only operation. You can interrupt this and resume the migration later on by calling `transformers.utils.move_cache()`.\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "0it [00:00, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "90eac10940d740089954077e56cdb9a7"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Loading model...\n",
            "Computing speaker latents...\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "SPEAKER_AUDIO_PATH = '/content/calm_anan_1.wav'\n",
        "print(\"Computing speaker latents...\")\n",
        "gpt_cond_latent, speaker_embedding = model.get_conditioning_latents(audio_path=[SPEAKER_AUDIO_PATH])\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xC26UN-q1icn",
        "outputId": "3c759e3c-50c8-4011-dd5f-c41e37258eca"
      },
      "execution_count": 35,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Computing speaker latents...\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "text = \"\"\"\n",
        "التكيف هو الطريقة اللي بتساعد الحيوانات والنباتات على البقاء في بيئاتهم.\n",
        "\"\"\"\n",
        "#text = \"Science Street Lab\"\n",
        "print(\"Inference...\")\n",
        "out = model.inference(\n",
        "    text,\n",
        "    \"ar\",\n",
        "    gpt_cond_latent,\n",
        "    speaker_embedding,\n",
        "    temperature=0.3,\n",
        ")\n",
        "\n",
        "AUDIO_OUTPUT_PATH = \"output_audio.wav\"\n",
        "\n",
        "import soundfile as sf\n",
        "sf.write(AUDIO_OUTPUT_PATH, out[\"wav\"], 24000)\n",
        "\n",
        "from IPython.display import Audio\n",
        "Audio(AUDIO_OUTPUT_PATH)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 78
        },
        "id": "jlwjVV6HtZj2",
        "outputId": "68f9fcb6-ee1f-4629-e081-55ce5c70d569"
      },
      "execution_count": 37,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Inference...\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<IPython.lib.display.Audio object>"
            ],
            "text/html": [
              "\n",
              "                <audio  controls=\"controls\" >\n",
              "                    <source src=\"data:audio/x-wav;base64,[encoded data, 430824 characters]\" type=\"audio/x-wav\" />\n",
              "                    Your browser does not support the audio element.\n",
              "                </audio>\n",
              "              "
            ]
          },
          "metadata": {},
          "execution_count": 37
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "4fh411obuBWC"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}