Pyannote_plays_and_Whisper_rhymes_v_2_0.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "RQyROdrfsvk4"
      },
      "source": [
        "[![notebook shield](https://img.shields.io/static/v1?label=&message=Notebook&color=blue&style=for-the-badge&logo=googlecolab&link=https://colab.research.google.com/github/ArthurFDLR/whisper-youtube/blob/main/whisper_youtube.ipynb)](https://colab.research.google.com/github/Majdoddin/nlp/blob/main/Pyannote_plays_and_Whisper_rhymes_v_2_0.ipynb)\n",
        "[![repository shield](https://img.shields.io/static/v1?label=&message=Repository&color=blue&style=for-the-badge&logo=github&link=https://github.com/openai/whisper)](https://github.com/majdoddin/nlp)\n",
        "\n",
        "# Whisper's transcription plus Pyannote's Diarization \n",
        "\n",
        "**Update** - [@johnwyles](https://github.com/johnwyles) added HTML output for audio/video files from Google Drive, along with some fixes.\n",
        "\n",
        "Using the new word-level timestamping of Whisper, the transcription words are highlighted as the video plays, with optional autoscroll. And the display on small displays is improved.\n",
        "\n",
        "Moreover, the model is loaded just once, thus the whole thing runs much faster now. You can also hardcode your Huggingface token. \n",
        "\n",
        "---\n",
        "Andrej Karpathy [suggested](https://twitter.com/karpathy/status/1574476200801538048?s=20&t=s5IMMXOYjBI6-91dib6w8g) training a classifier on top of  OpenAI [Whisper](https://openai.com/blog/whisper/) model features to identify the speaker, so we can visualize the speaker in the transcript. But, as [pointed out](https://twitter.com/tarantulae/status/1574493613362388992?s=20&t=s5IMMXOYjBI6-91dib6w8g) by Christian Perone, it seems that features from whisper wouldn't be that great for speaker recognition as its main objective is basically to ignore speaker differences.\n",
        "\n",
        "In the following, I use [**`pyannote-audio`**](https://github.com/pyannote/pyannote-audio), a speaker diarization toolkit by Hervé Bredin, to identify the speakers, and then match it with the transcriptions of Whispr, linked to the video. The input can be YouTube or an video/audio file (also on Google Drive). I try it on a [Customer Support Call](https://youtu.be/hpZFJctBUHQ). Check the result [**here**](https://majdoddin.github.io/dyson.html).\n",
        "\n",
        "To make it easier to match the transcriptions to diarizations by speaker change, Sarah Kaiser [suggested](https://github.com/openai/whisper/discussions/264#discussioncomment-3825375) runnnig the pyannote.audio first and  then just running whisper on the split-by-speaker chunks. \n",
        "For sake of performance (and transcription quality?), we attach the audio segments into a single audio file with a silent spacer as a separator, and run whisper on it. Enjoy it!\n",
        "\n",
        "(For sake of performance , I also tried attaching the audio segments into a single audio file with a silent -or beep- spacer as a separator, and run whisper on it see it on [colab](https://colab.research.google.com/drive/1HuvcY4tkTHPDzcwyVH77LCh_m8tP-Qet?usp=sharing). It [works](https://majdoddin.github.io/lexicap.html) on some audio, and fails on some (Dyson's Interview). The problem is, whisper does not reliably make a timestap on a spacer. See the discussions [#139](https://github.com/openai/whisper/discussions/139) and [#29](https://github.com/openai/whisper/discussions/29))\n",
        "\n",
        "The Markdown form used below is from [@ArthurFDLR](https://github.com/ArthurFDLR/whisper-youtube/).   "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wtljXaTXnowa"
      },
      "source": [
        "# Preparing the audio file"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "bUA_4lnNgpSW"
      },
      "source": [
        "**Optional:** Mount Google Drive\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 38,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "B3tqC8m8fyCJ",
        "outputId": "c18ff733-3a32-4f61-edcd-a60de94fde86",
        "vscode": {
          "languageId": "python"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/drive\n"
          ]
        }
      ],
      "source": [
        "from google.colab import drive\n",
        "from pathlib import Path\n",
        "\n",
        "drive_mount_path = Path(\"/content/drive\")\n",
        "drive.mount(str(drive_mount_path))\n",
        "drive_mount_path /= \"MyDrive\""
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 39,
      "metadata": {
        "id": "1zqnZsBacKph",
        "vscode": {
          "languageId": "python"
        },
        "cellView": "form"
      },
      "outputs": [],
      "source": [
        "from pathlib import Path\n",
        "#@markdown Enter the URL of the YouTube video, or the path to the video/audio file you want to transcribe, give the output path, etc. and run the cell. HTML file embeds the video for YouTube, and audio for media files.\n",
        "\n",
        "Source = 'Youtube' #@param ['Youtube', 'File (Google Drive)']\n",
        "#@markdown ---\n",
        "#@markdown #### **Youtube video**\n",
        "video_url = \"https://youtu.be/hpZFJctBUHQ\" #@param {type:\"string\"}\n",
        "#store_audio = True #@param {type:\"boolean\"}\n",
        "#@markdown ---\n",
        "#@markdown #### **Google Drive video or audio path (mp4, wav, mp3)**\n",
        "video_path = \"/content/drive/MyDrive/Customer_Service.mp3\" #@param {type:\"string\"}\n",
        "#@markdown ---\n",
        "output_path = \"/content/transcript/\" #@param {type:\"string\"}\n",
        "output_path = str(Path(output_path))\n",
        "#@markdown ---\n",
        "#@markdown #### **Title for transcription of media file**\n",
        "audio_title = \"Sample Order Taking\" #@param {type:\"string\"}\n",
        "#@markdown ---\n",
        "#@markdown #### Copy a token from your [Hugging Face tokens page](https://huggingface.co/settings/tokens) and paste it below.\n",
        "access_token = \"hf_\" #@param {type:\"string\"}\n",
        "#@markdown ---\n",
        "#@markdown **Run this cell again if you change the video.**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "vscode": {
          "languageId": "python"
        },
        "id": "NvDON2GxZpIb"
      },
      "outputs": [],
      "source": [
        "import locale\n",
        "locale.getpreferredencoding = lambda: \"UTF-8\""
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6vgK82ahXNje",
        "outputId": "f1ce5185-c338-4258-d7b3-121766bc3845",
        "vscode": {
          "languageId": "python"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content/transcript\n"
          ]
        }
      ],
      "source": [
        "Path(output_path).mkdir(parents=True, exist_ok=True)\n",
        "%cd {output_path}\n",
        "video_title = \"\"\n",
        "video_id = \"\""
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "o-a6pLioVHjl"
      },
      "source": [
        "## From YouTube"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Ct4adIANpQvX"
      },
      "source": [
        " Installing [`yt-dlp`](https://github.com/yt-dlp/yt-dlp) and downloading the [video](https://youtu.be/NSp2fEQ6wyA) from youtube."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "TL7fC4aZdpyH",
        "outputId": "accb4ff7-5f83-46fa-8565-bd560821a02e",
        "vscode": {
          "languageId": "python"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting yt-dlp\n",
            "  Downloading yt_dlp-2023.3.4-py2.py3-none-any.whl (2.9 MB)\n",
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            "\u001b[?25hCollecting mutagen\n",
            "  Downloading mutagen-1.46.0-py3-none-any.whl (193 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m193.6/193.6 KB\u001b[0m \u001b[31m23.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting pycryptodomex\n",
            "  Downloading pycryptodomex-3.17-cp35-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.1 MB)\n",
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            "\u001b[?25hCollecting websockets\n",
            "  Downloading websockets-11.0.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (129 kB)\n",
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            "\u001b[?25hRequirement already satisfied: certifi in /usr/local/lib/python3.9/dist-packages (from yt-dlp) (2022.12.7)\n",
            "Collecting brotli\n",
            "  Downloading Brotli-1.0.9-cp39-cp39-manylinux1_x86_64.whl (357 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m357.2/357.2 KB\u001b[0m \u001b[31m41.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hInstalling collected packages: brotli, websockets, pycryptodomex, mutagen, yt-dlp\n",
            "Successfully installed brotli-1.0.9 mutagen-1.46.0 pycryptodomex-3.17 websockets-11.0.1 yt-dlp-2023.3.4\n"
          ]
        }
      ],
      "source": [
        "if Source == \"Youtube\":\n",
        "  !pip install -U yt-dlp"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "bI5sr2GI4gXb"
      },
      "source": [
        "Custom build of `ffmpeg` as [recommended](https://github.com/yt-dlp/yt-dlp#strongly-recommended) by `yt-dlp`."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {
        "id": "KsedMPN-daEX",
        "vscode": {
          "languageId": "python"
        }
      },
      "outputs": [],
      "source": [
        "if Source == \"Youtube\":\n",
        "  !wget -O - -q  https://github.com/yt-dlp/FFmpeg-Builds/releases/download/latest/ffmpeg-master-latest-linux64-gpl.tar.xz | xz -qdc| tar -x"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "DNcD7tx9UmyK",
        "outputId": "42c560cd-8dc7-4908-e70a-b202629b6bdd",
        "vscode": {
          "languageId": "python"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[youtube] Extracting URL: https://youtu.be/hpZFJctBUHQ\n",
            "[youtube] hpZFJctBUHQ: Downloading webpage\n",
            "[youtube] hpZFJctBUHQ: Downloading android player API JSON\n",
            "Title: Sample Order Taking | Customer Support Philippines\n"
          ]
        }
      ],
      "source": [
        "#Getting video info\n",
        "if Source == \"Youtube\":\n",
        "  from yt_dlp import YoutubeDL\n",
        "  with YoutubeDL() as ydl: \n",
        "    info_dict = ydl.extract_info(video_url, download=False)\n",
        "    video_title = info_dict.get('title', None)\n",
        "    video_id = info_dict.get('id', None)\n",
        "    print(\"Title: \" + video_title) # <= Here, you got the video title\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "e_UyK49aPNiD"
      },
      "source": [
        "Downloading the audio from YouTube."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2VHzpv72dkvV",
        "outputId": "ff9084da-1b60-44e8-95f4-549caaa743cb",
        "vscode": {
          "languageId": "python"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[debug] Command-line config: ['-xv', '--ffmpeg-location', 'ffmpeg-master-latest-linux64-gpl/bin', '--audio-format', 'wav', '-o', '/content/transcript/input.wav', '--', 'https://youtu.be/hpZFJctBUHQ']\n",
            "[debug] Encodings: locale UTF-8, fs utf-8, pref UTF-8, out utf-8, error utf-8, screen utf-8\n",
            "[debug] yt-dlp version stable@2023.03.04 [392389b7d] (pip)\n",
            "[debug] Python 3.9.16 (CPython x86_64 64bit) - Linux-5.10.147+-x86_64-with-glibc2.31 (OpenSSL 1.1.1f  31 Mar 2020, glibc 2.31)\n",
            "[debug] exe versions: ffmpeg N-110171-g2244722f1f-20230405 (setts), ffprobe N-110171-g2244722f1f-20230405\n",
            "[debug] Optional libraries: Cryptodome-3.17, brotli-1.0.9, certifi-2022.12.07, mutagen-1.46.0, sqlite3-2.6.0, websockets-11.0.1\n",
            "[debug] Proxy map: {'colab_language_server': '/usr/colab/bin/language_service'}\n",
            "[debug] Loaded 1786 extractors\n",
            "[youtube] Extracting URL: https://youtu.be/hpZFJctBUHQ\n",
            "[youtube] hpZFJctBUHQ: Downloading webpage\n",
            "[youtube] hpZFJctBUHQ: Downloading android player API JSON\n",
            "[debug] Sort order given by extractor: quality, res, fps, hdr:12, source, vcodec:vp9.2, channels, acodec, lang, proto\n",
            "[debug] Formats sorted by: hasvid, ie_pref, quality, res, fps, hdr:12(7), source, vcodec:vp9.2(10), channels, acodec, lang, proto, filesize, fs_approx, tbr, vbr, abr, asr, vext, aext, hasaud, id\n",
            "[info] hpZFJctBUHQ: Downloading 1 format(s): 251\n",
            "[debug] Invoking dashsegments downloader on \"https://rr1---sn-5ualdnsz.googlevideo.com/videoplayback?expire=1680791148&ei=DIIuZM_6H4bU8wSirY74DQ&ip=35.231.54.95&id=o-AI9_xEkSvGXpgf4mYIfqrbwEI93id2HDScbs9SAQuW-0&itag=251&source=youtube&requiressl=yes&mh=Nh&mm=31%2C26&mn=sn-5ualdnsz%2Csn-5go7yner&ms=au%2Conr&mv=u&mvi=1&pl=23&spc=99c5CTXQNdgyUKsQ5EuUHel0xFsD9m0&vprv=1&svpuc=1&mime=audio%2Fwebm&gir=yes&clen=1713465&dur=115.521&lmt=1540868286351488&mt=1680768117&fvip=5&keepalive=yes&fexp=24007246&beids=24512783&c=ANDROID&txp=5411222&sparams=expire%2Cei%2Cip%2Cid%2Citag%2Csource%2Crequiressl%2Cspc%2Cvprv%2Csvpuc%2Cmime%2Cgir%2Cclen%2Cdur%2Clmt&sig=AOq0QJ8wRgIhAIKbAxKK18lmcZuXZqAvtSxii7_uRkXppqhfoFSoPr96AiEA5w3SpJLw0Fx7ktqqav_vfYM3b1whyooRYkPFBNLXA2Q%3D&lsparams=mh%2Cmm%2Cmn%2Cms%2Cmv%2Cmvi%2Cpl&lsig=AG3C_xAwRQIhANDQYODxh0gV4pehfylJ4pv5QlP2S6lCKxRxpCvOCrLhAiBBcZqk3AIjDNACtyp2AR4_UStqs_DW26VxL3go-Wwa9g%3D%3D\"\n",
            "[dashsegments] Total fragments: 1\n",
            "[download] Destination: /content/transcript/input.webm\n",
            "\u001b[K[download] 100% of    1.63MiB in \u001b[1;37m00:00:00\u001b[0m at \u001b[0;32m13.50MiB/s\u001b[0m\n",
            "[debug] ffmpeg command line: ffmpeg-master-latest-linux64-gpl/bin/ffprobe -show_streams file:/content/transcript/input.webm\n",
            "[ExtractAudio] Destination: /content/transcript/input.wav\n",
            "[debug] ffmpeg command line: ffmpeg-master-latest-linux64-gpl/bin/ffmpeg -y -loglevel repeat+info -i file:/content/transcript/input.webm -vn -movflags +faststart file:/content/transcript/input.wav\n",
            "Deleting original file /content/transcript/input.webm (pass -k to keep)\n"
          ]
        }
      ],
      "source": [
        "if Source == \"Youtube\":\n",
        "  !yt-dlp -xv --ffmpeg-location ffmpeg-master-latest-linux64-gpl/bin --audio-format wav  -o \"{str(output_path) + '/'}input.wav\" -- {video_url}"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "NJRyeo5RVYb8"
      },
      "source": [
        "## or from File (Google Drive)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "VjORT6CkVoTF",
        "vscode": {
          "languageId": "python"
        }
      },
      "outputs": [],
      "source": [
        "if Source == 'File (Google Drive)':\n",
        "    !ffmpeg -i {repr(video_path)} -vn -acodec pcm_s16le -ar 16000 -ac 1 -y input.wav  "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "1u1vbqd_VzNp"
      },
      "source": [
        "## Prepending a spacer"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "q7qMLTISFE6M"
      },
      "source": [
        "`pyannote.audio` seems to miss the first 0.5 seconds of the audio, and, therefore, we prepend a spcacer."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ZqznOE7Kw725",
        "outputId": "d381bbc3-5a3a-4fcb-eb2f-74d427083484",
        "vscode": {
          "languageId": "python"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting pydub\n",
            "  Downloading pydub-0.25.1-py2.py3-none-any.whl (32 kB)\n",
            "Installing collected packages: pydub\n",
            "Successfully installed pydub-0.25.1\n"
          ]
        }
      ],
      "source": [
        "!pip install pydub"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "MaRDsBV1CWi8",
        "outputId": "909a6625-0145-4646-c1cb-82a2a22a390c",
        "vscode": {
          "languageId": "python"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<_io.BufferedRandom name='input_prep.wav'>"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ],
      "source": [
        "from pydub import AudioSegment\n",
        "\n",
        "spacermilli = 2000\n",
        "spacer = AudioSegment.silent(duration=spacermilli)\n",
        "\n",
        "\n",
        "audio = AudioSegment.from_wav(\"input.wav\") \n",
        "\n",
        "audio = spacer.append(audio, crossfade=0)\n",
        "\n",
        "audio.export('input_prep.wav', format='wav')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "mb5eEOKUooju"
      },
      "source": [
        "# Pyannote's Diarization"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "nxNf1l8Ye_U9"
      },
      "source": [
        "[`pyannote.audio`](https://github.com/pyannote/pyannote-audio) is an open-source toolkit written in Python for **speaker diarization**. \n",
        "\n",
        "Based on [`PyTorch`](https://pytorch.org) machine learning framework, it provides a set of trainable end-to-end neural building blocks that can be combined and jointly optimized to build speaker diarization pipelines. \n",
        "\n",
        "`pyannote.audio` also comes with pretrained [models](https://huggingface.co/models?other=pyannote-audio-model) and [pipelines](https://huggingface.co/models?other=pyannote-audio-pipeline) covering a wide range of domains for voice activity detection, speaker segmentation, overlapped speech detection, speaker embedding reaching state-of-the-art performance for most of them. "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "S8Ak_OQwqd-3"
      },
      "source": [
        "Installing `pyannote.audio`."
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install light-the-torch"
      ],
      "metadata": {
        "id": "KFgcJ8f6dNUR",
        "outputId": "01c343b8-a758-4222-959d-2a4b51c880a1",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting light-the-torch\n",
            "  Downloading light_the_torch-0.7.2-py3-none-any.whl (14 kB)\n",
            "Collecting pip<23.1,>=22.3\n",
            "  Downloading pip-23.0.1-py3-none-any.whl (2.1 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.1/2.1 MB\u001b[0m \u001b[31m22.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hInstalling collected packages: pip, light-the-torch\n",
            "  Attempting uninstall: pip\n",
            "    Found existing installation: pip 22.0.4\n",
            "    Uninstalling pip-22.0.4:\n",
            "      Successfully uninstalled pip-22.0.4\n",
            "Successfully installed light-the-torch-0.7.2 pip-23.0.1\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!ltt install torch==1.13.1 torchvision==0.14.1 torchaudio==0.13.1  "
      ],
      "metadata": {
        "id": "GhBEKgQGdPJc",
        "outputId": "4b43ada4-6139-4b76-e7d5-bd0e500c0491",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting torch==1.13.1\n",
            "  Downloading https://download.pytorch.org/whl/cu117/torch-1.13.1%2Bcu117-cp39-cp39-linux_x86_64.whl (1801.8 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.8/1.8 GB\u001b[0m \u001b[31m979.1 kB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting torchvision==0.14.1\n",
            "  Downloading https://download.pytorch.org/whl/cu117/torchvision-0.14.1%2Bcu117-cp39-cp39-linux_x86_64.whl (24.3 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m24.3/24.3 MB\u001b[0m \u001b[31m56.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting torchaudio==0.13.1\n",
            "  Downloading https://download.pytorch.org/whl/cu117/torchaudio-0.13.1%2Bcu117-cp39-cp39-linux_x86_64.whl (4.2 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.2/4.2 MB\u001b[0m \u001b[31m79.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: typing-extensions in /usr/local/lib/python3.9/dist-packages (from torch==1.13.1) (4.5.0)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.9/dist-packages (from torchvision==0.14.1) (2.27.1)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.9/dist-packages (from torchvision==0.14.1) (1.22.4)\n",
            "Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /usr/local/lib/python3.9/dist-packages (from torchvision==0.14.1) (8.4.0)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.9/dist-packages (from requests->torchvision==0.14.1) (3.4)\n",
            "Requirement already satisfied: charset-normalizer~=2.0.0 in /usr/local/lib/python3.9/dist-packages (from requests->torchvision==0.14.1) (2.0.12)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.9/dist-packages (from requests->torchvision==0.14.1) (2022.12.7)\n",
            "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/local/lib/python3.9/dist-packages (from requests->torchvision==0.14.1) (1.26.15)\n",
            "Installing collected packages: torch, torchvision, torchaudio\n",
            "  Attempting uninstall: torch\n",
            "    Found existing installation: torch 2.0.0+cu118\n",
            "    Uninstalling torch-2.0.0+cu118:\n",
            "      Successfully uninstalled torch-2.0.0+cu118\n",
            "  Attempting uninstall: torchvision\n",
            "    Found existing installation: torchvision 0.15.1+cu118\n",
            "    Uninstalling torchvision-0.15.1+cu118:\n",
            "      Successfully uninstalled torchvision-0.15.1+cu118\n",
            "  Attempting uninstall: torchaudio\n",
            "    Found existing installation: torchaudio 2.0.1+cu118\n",
            "    Uninstalling torchaudio-2.0.1+cu118:\n",
            "      Successfully uninstalled torchaudio-2.0.1+cu118\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",
            "torchtext 0.15.1 requires torch==2.0.0, but you have torch 1.13.1+cu117 which is incompatible.\n",
            "torchdata 0.6.0 requires torch==2.0.0, but you have torch 1.13.1+cu117 which is incompatible.\u001b[0m\u001b[31m\n",
            "\u001b[0mSuccessfully installed torch-1.13.1+cu117 torchaudio-0.13.1+cu117 torchvision-0.14.1+cu117\n",
            "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\n",
            "\u001b[0m"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "vJGyKTQJqdzq",
        "outputId": "1ed58f92-05bb-4ff1-f7b0-90492bb4c5c0",
        "vscode": {
          "languageId": "python"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting git+https://github.com/hmmlearn/hmmlearn.git\n",
            "  Cloning https://github.com/hmmlearn/hmmlearn.git to /tmp/pip-req-build-jeb7z7vl\n",
            "  Running command git clone --filter=blob:none --quiet https://github.com/hmmlearn/hmmlearn.git /tmp/pip-req-build-jeb7z7vl\n",
            "  Resolved https://github.com/hmmlearn/hmmlearn.git to commit ab52395dbb80a1a76b75deb25de23e74450a5873\n",
            "  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "Requirement already satisfied: numpy>=1.10 in /usr/local/lib/python3.9/dist-packages (from hmmlearn==0.2.8.post31+gab52395) (1.22.4)\n",
            "Requirement already satisfied: scikit-learn!=0.22.0,>=0.16 in /usr/local/lib/python3.9/dist-packages (from hmmlearn==0.2.8.post31+gab52395) (1.2.2)\n",
            "Requirement already satisfied: scipy>=0.19 in /usr/local/lib/python3.9/dist-packages (from hmmlearn==0.2.8.post31+gab52395) (1.10.1)\n",
            "Requirement already satisfied: threadpoolctl>=2.0.0 in /usr/local/lib/python3.9/dist-packages (from scikit-learn!=0.22.0,>=0.16->hmmlearn==0.2.8.post31+gab52395) (3.1.0)\n",
            "Requirement already satisfied: joblib>=1.1.1 in /usr/local/lib/python3.9/dist-packages (from scikit-learn!=0.22.0,>=0.16->hmmlearn==0.2.8.post31+gab52395) (1.1.1)\n",
            "Building wheels for collected packages: hmmlearn\n",
            "  Building wheel for hmmlearn (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for hmmlearn: filename=hmmlearn-0.2.8.post31+gab52395-cp39-cp39-linux_x86_64.whl size=133708 sha256=ef8c2735851c0ec43fe8bdb5b0e238bbee80030cd6dae082f91cbe1ded62d504\n",
            "  Stored in directory: /tmp/pip-ephem-wheel-cache-7yutu4jm/wheels/7e/7a/76/9d299ba2b4294f29bd9819edda1d3d9f5310ee89fcda2e110c\n",
            "Successfully built hmmlearn\n",
            "Installing collected packages: hmmlearn\n",
            "Successfully installed hmmlearn-0.2.8.post31+gab52395\n",
            "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\n",
            "\u001b[0mLooking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting git+https://github.com/pyannote/pyannote-audio.git@develop\n",
            "  Cloning https://github.com/pyannote/pyannote-audio.git (to revision develop) to /tmp/pip-req-build-fvhib8sn\n",
            "  Running command git clone --filter=blob:none --quiet https://github.com/pyannote/pyannote-audio.git /tmp/pip-req-build-fvhib8sn\n",
            "  Resolved https://github.com/pyannote/pyannote-audio.git to commit 74939acbfa830521a434cb4068176196dd9612dc\n",
            "  Running command git submodule update --init --recursive -q\n",
            "  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "Collecting asteroid-filterbanks<0.5,>=0.4\n",
            "  Downloading asteroid_filterbanks-0.4.0-py3-none-any.whl (29 kB)\n",
            "Collecting backports.cached_property\n",
            "  Downloading backports.cached_property-1.0.2-py3-none-any.whl (6.1 kB)\n",
            "Collecting einops<0.4.0,>=0.3\n",
            "  Downloading einops-0.3.2-py3-none-any.whl (25 kB)\n",
            "Requirement already satisfied: hmmlearn<0.3,>=0.2.7 in /usr/local/lib/python3.9/dist-packages (from pyannote.audio==2.1.1) (0.2.8.post31+gab52395)\n",
            "Collecting huggingface_hub>=0.8.1\n",
            "  Downloading huggingface_hub-0.13.3-py3-none-any.whl (199 kB)\n",
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            "  Downloading semver-2.13.0-py2.py3-none-any.whl (12 kB)\n",
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            "\u001b[?25hRequirement already satisfied: zipp>=3.1.0 in /usr/local/lib/python3.9/dist-packages (from importlib-resources>=3.2.0->matplotlib>=2.0.0->pyannote.metrics<4.0,>=3.2->pyannote.audio==2.1.1) (3.15.0)\n",
            "Requirement already satisfied: llvmlite<0.40,>=0.39.0dev0 in /usr/local/lib/python3.9/dist-packages (from numba>=0.51.0->librosa>=0.6.0->torch_audiomentations>=0.11.0->pyannote.audio==2.1.1) (0.39.1)\n",
            "Requirement already satisfied: setuptools in /usr/local/lib/python3.9/dist-packages (from numba>=0.51.0->librosa>=0.6.0->torch_audiomentations>=0.11.0->pyannote.audio==2.1.1) (67.6.1)\n",
            "Requirement already satisfied: appdirs>=1.3.0 in /usr/local/lib/python3.9/dist-packages (from pooch<1.7,>=1.0->librosa>=0.6.0->torch_audiomentations>=0.11.0->pyannote.audio==2.1.1) (1.4.4)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.9/dist-packages (from python-dateutil>=2.7->matplotlib>=2.0.0->pyannote.metrics<4.0,>=3.2->pyannote.audio==2.1.1) (1.16.0)\n",
            "Collecting ruamel.yaml.clib>=0.2.6\n",
            "  Downloading ruamel.yaml.clib-0.2.7-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl (519 kB)\n",
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            "\u001b[?25hRequirement already satisfied: greenlet!=0.4.17 in /usr/local/lib/python3.9/dist-packages (from sqlalchemy>=1.3.0->optuna>=1.4->pyannote.pipeline<3.0,>=2.3->pyannote.audio==2.1.1) (2.0.2)\n",
            "Requirement already satisfied: MarkupSafe>=0.9.2 in /usr/local/lib/python3.9/dist-packages (from Mako->alembic>=1.5.0->optuna>=1.4->pyannote.pipeline<3.0,>=2.3->pyannote.audio==2.1.1) (2.1.2)\n",
            "Building wheels for collected packages: pyannote.audio, antlr4-python3-runtime, docopt, julius\n",
            "  Building wheel for pyannote.audio (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for pyannote.audio: filename=pyannote.audio-2.1.1-py2.py3-none-any.whl size=399199 sha256=30bad5338fada65e28b5604f54e43927cf64b12497bc480121a0a127104901d0\n",
            "  Stored in directory: /tmp/pip-ephem-wheel-cache-f0rslw70/wheels/e7/5e/d6/b7b3e90fb0d5119342664d77b67656adc799f9101d9c70151f\n",
            "  Building wheel for antlr4-python3-runtime (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for antlr4-python3-runtime: filename=antlr4_python3_runtime-4.9.3-py3-none-any.whl size=144573 sha256=7e1c064faa96c7c1859081a6a7a896093d2216814656ef803d28c90e83d3747c\n",
            "  Stored in directory: /root/.cache/pip/wheels/23/cf/80/f3efa822e6ab23277902ee9165fe772eeb1dfb8014f359020a\n",
            "  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=13721 sha256=b137ea1605baa880b71aeb265d75028349867499908974cb360fff56a84a6b69\n",
            "  Stored in directory: /root/.cache/pip/wheels/70/4a/46/1309fc853b8d395e60bafaf1b6df7845bdd82c95fd59dd8d2b\n",
            "  Building wheel for julius (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for julius: filename=julius-0.2.7-py3-none-any.whl size=21895 sha256=8f7f2a87c0034b8693e6148d8acad6662860872c2a3a6e010e4d1ae3f129725c\n",
            "  Stored in directory: /root/.cache/pip/wheels/53/0a/a7/fc08f97438f4969d86afa7904336c2eb7eb422101359f3ad11\n",
            "Successfully built pyannote.audio antlr4-python3-runtime docopt julius\n",
            "Installing collected packages: singledispatchmethod, sentencepiece, primePy, einops, docopt, commonmark, antlr4-python3-runtime, tensorboardX, simplejson, shellingham, semver, ruamel.yaml.clib, rich, omegaconf, networkx, multidict, Mako, lightning-utilities, frozenlist, colorlog, colorama, cmaes, backports.cached_property, async-timeout, yarl, torchmetrics, soundfile, ruamel.yaml, resampy, pyannote.core, julius, huggingface_hub, asteroid-filterbanks, alembic, aiosignal, torch-pitch-shift, pytorch_metric_learning, pyannote.database, optuna, librosa, hyperpyyaml, aiohttp, torch_audiomentations, speechbrain, pyannote.pipeline, pyannote.metrics, pytorch_lightning, pyannote.audio\n",
            "  Attempting uninstall: rich\n",
            "    Found existing installation: rich 13.3.3\n",
            "    Uninstalling rich-13.3.3:\n",
            "      Successfully uninstalled rich-13.3.3\n",
            "  Attempting uninstall: networkx\n",
            "    Found existing installation: networkx 3.0\n",
            "    Uninstalling networkx-3.0:\n",
            "      Successfully uninstalled networkx-3.0\n",
            "  Attempting uninstall: soundfile\n",
            "    Found existing installation: soundfile 0.12.1\n",
            "    Uninstalling soundfile-0.12.1:\n",
            "      Successfully uninstalled soundfile-0.12.1\n",
            "  Attempting uninstall: librosa\n",
            "    Found existing installation: librosa 0.10.0.post2\n",
            "    Uninstalling librosa-0.10.0.post2:\n",
            "      Successfully uninstalled librosa-0.10.0.post2\n",
            "Successfully installed Mako-1.2.4 aiohttp-3.8.4 aiosignal-1.3.1 alembic-1.10.3 antlr4-python3-runtime-4.9.3 asteroid-filterbanks-0.4.0 async-timeout-4.0.2 backports.cached_property-1.0.2 cmaes-0.9.1 colorama-0.4.6 colorlog-6.7.0 commonmark-0.9.1 docopt-0.6.2 einops-0.3.2 frozenlist-1.3.3 huggingface_hub-0.13.3 hyperpyyaml-1.2.0 julius-0.2.7 librosa-0.9.2 lightning-utilities-0.8.0 multidict-6.0.4 networkx-2.8.8 omegaconf-2.3.0 optuna-3.1.0 primePy-1.3 pyannote.audio-2.1.1 pyannote.core-4.5 pyannote.database-4.1.3 pyannote.metrics-3.2.1 pyannote.pipeline-2.3 pytorch_lightning-1.8.6 pytorch_metric_learning-1.7.3 resampy-0.4.2 rich-12.6.0 ruamel.yaml-0.17.21 ruamel.yaml.clib-0.2.7 semver-2.13.0 sentencepiece-0.1.97 shellingham-1.5.0.post1 simplejson-3.18.4 singledispatchmethod-1.0 soundfile-0.11.0 speechbrain-0.5.14 tensorboardX-2.6 torch-pitch-shift-1.2.3 torch_audiomentations-0.11.0 torchmetrics-0.11.4 yarl-1.8.2\n",
            "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\n",
            "\u001b[0m"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.colab-display-data+json": {
              "pip_warning": {
                "packages": [
                  "pydevd_plugins"
                ]
              }
            }
          },
          "metadata": {}
        }
      ],
      "source": [
        "!pip install  git+https://github.com/hmmlearn/hmmlearn.git\n",
        "!pip install  git+https://github.com/pyannote/pyannote-audio.git@develop"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "N7TPgEVW8XeH"
      },
      "source": [
        "**Important:** To load the pyannote speaker diarization pipeline, \n",
        "\n",
        "* accept the user conditions on both [hf.co/pyannote/speaker-diarization](https://hf.co/pyannote/speaker-diarization) and [hf.co/pyannote/segmentation](https://huggingface.co/pyannote/segmentation).\n",
        "* paste your access_token or login using `notebook_login` below"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "metadata": {
        "id": "r5u7VMb-YnqB",
        "vscode": {
          "languageId": "python"
        }
      },
      "outputs": [],
      "source": [
        "if not(access_token):\n",
        "    from huggingface_hub import notebook_login\n",
        "    notebook_login()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "metadata": {
        "id": "jKG14DGYbwku",
        "vscode": {
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        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 273,
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        "outputId": "f9946643-9a44-475e-9d11-31613ce1a912"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading (…)lve/main/config.yaml:   0%|          | 0.00/500 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "ceb9cabad998432ebd4541a41ad69e76"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
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              "Downloading pytorch_model.bin:   0%|          | 0.00/17.7M [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "3ad4b30c0c6640fc921b782ff2a84545"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
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            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "87b4741cc2174372ab2b3b31c45257ee"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading (…)ain/hyperparams.yaml: 0.00B [00:00, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "ed483488e6e342a7a6291ee50bd3fcb4"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading embedding_model.ckpt:   0%|          | 0.00/83.3M [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "b00a57bbc2984b25b080cf426fc9d93a"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
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            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "81fb5f28fbd84991aced3b675bda8538"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
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            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "4a92ebfa58524bf39e4540499e78d147"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading (…)in/label_encoder.txt: 0.00B [00:00, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "5c13b264a4e942f29719ee21fa9e013f"
            }
          },
          "metadata": {}
        }
      ],
      "source": [
        "from pyannote.audio import Pipeline\n",
        "pipeline = Pipeline.from_pretrained('pyannote/speaker-diarization', use_auth_token= (access_token) or True )"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import torch\n",
        "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
        "pipeline.to(device)"
      ],
      "metadata": {
        "id": "OjsUVdR2jH0n",
        "outputId": "6229f26d-6f46-45be-ce86-367536447e50",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<pyannote.audio.pipelines.speaker_diarization.SpeakerDiarization at 0x7fd1e08c3d30>"
            ]
          },
          "metadata": {},
          "execution_count": 33
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ImKMcCr5W5Nw"
      },
      "source": [
        "Running pyannote.audio to generate the diarizations."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 21,
      "metadata": {
        "id": "yA4xiEefft9Z",
        "vscode": {
          "languageId": "python"
        }
      },
      "outputs": [],
      "source": [
        "DEMO_FILE = {'uri': 'blabla', 'audio': 'input_prep.wav'}\n",
        "dz = pipeline(DEMO_FILE)  \n",
        "\n",
        "with open(\"diarization.txt\", \"w\") as text_file:\n",
        "    text_file.write(str(dz))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 22,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "GHIY2MB3Vz3e",
        "outputId": "1accc8bb-f5a1-4afd-9d16-fdf7ca4f4403",
        "vscode": {
          "languageId": "python"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "(<Segment(2.74219, 5.40844)>, 'U', 'SPEAKER_01')\n",
            "(<Segment(5.74594, 9.25594)>, 'A', 'SPEAKER_00')\n",
            "(<Segment(9.72844, 12.6647)>, 'V', 'SPEAKER_01')\n",
            "(<Segment(13.0697, 14.0147)>, 'B', 'SPEAKER_00')\n",
            "(<Segment(14.5041, 16.9678)>, 'W', 'SPEAKER_01')\n",
            "(<Segment(17.4741, 20.7478)>, 'C', 'SPEAKER_00')\n",
            "(<Segment(21.4566, 24.0047)>, 'D', 'SPEAKER_00')\n",
            "(<Segment(24.7303, 29.2528)>, 'X', 'SPEAKER_01')\n",
            "(<Segment(29.2528, 30.7041)>, 'E', 'SPEAKER_00')\n",
            "(<Segment(31.3791, 32.1553)>, 'F', 'SPEAKER_00')\n"
          ]
        }
      ],
      "source": [
        "print(*list(dz.itertracks(yield_label = True))[:10], sep=\"\\n\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Wp36eMedRkR0"
      },
      "source": [
        "# Preparing audio files according to the diarization"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 23,
      "metadata": {
        "id": "KPGOaVpOH7pZ",
        "vscode": {
          "languageId": "python"
        }
      },
      "outputs": [],
      "source": [
        "def millisec(timeStr):\n",
        "  spl = timeStr.split(\":\")\n",
        "  s = (int)((int(spl[0]) * 60 * 60 + int(spl[1]) * 60 + float(spl[2]) )* 1000)\n",
        "  return s"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_Co3BIIH6aW4"
      },
      "source": [
        "Grouping the diarization segments according to the speaker."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 24,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "umQdzNFzcP2f",
        "outputId": "2c5e3cf7-b6a2-42ad-cc13-5db04b891370",
        "vscode": {
          "languageId": "python"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "['[ 00:00:02.742 -->  00:00:05.408] U SPEAKER_01']\n",
            "['[ 00:00:05.745 -->  00:00:09.255] A SPEAKER_00']\n",
            "['[ 00:00:09.728 -->  00:00:12.664] V SPEAKER_01']\n",
            "['[ 00:00:13.069 -->  00:00:14.014] B SPEAKER_00']\n",
            "['[ 00:00:14.504 -->  00:00:16.967] W SPEAKER_01']\n",
            "['[ 00:00:17.474 -->  00:00:20.747] C SPEAKER_00', '[ 00:00:21.456 -->  00:00:24.004] D SPEAKER_00']\n",
            "['[ 00:00:24.730 -->  00:00:29.252] X SPEAKER_01']\n",
            "['[ 00:00:29.252 -->  00:00:30.704] E SPEAKER_00', '[ 00:00:31.379 -->  00:00:32.155] F SPEAKER_00', '[ 00:00:32.796 -->  00:00:33.724] G SPEAKER_00', '[ 00:00:34.517 -->  00:00:35.783] H SPEAKER_00']\n",
            "['[ 00:00:36.306 -->  00:00:42.735] Y SPEAKER_01']\n",
            "['[ 00:00:43.140 -->  00:00:46.026] I SPEAKER_00', '[ 00:00:46.650 -->  00:00:48.287] J SPEAKER_00']\n",
            "['[ 00:00:48.895 -->  00:00:53.721] Z SPEAKER_01']\n",
            "['[ 00:00:53.924 -->  00:00:54.936] K SPEAKER_00']\n",
            "['[ 00:00:55.240 -->  00:00:55.780] AA SPEAKER_01']\n",
            "['[ 00:00:56.320 -->  00:00:57.299] L SPEAKER_00', '[ 00:00:58.024 -->  00:00:59.307] M SPEAKER_00', '[ 00:01:00.117 -->  00:01:03.509] N SPEAKER_00']\n",
            "['[ 00:01:03.509 -->  00:01:12.570] AB SPEAKER_01']\n",
            "['[ 00:01:13.161 -->  00:01:15.034] O SPEAKER_00']\n",
            "['[ 00:01:15.962 -->  00:01:18.679] AC SPEAKER_01']\n",
            "['[ 00:01:18.679 -->  00:01:19.202] P SPEAKER_00']\n",
            "['[ 00:01:19.675 -->  00:01:23.134] AD SPEAKER_01']\n",
            "['[ 00:01:24.467 -->  00:01:24.839] Q SPEAKER_00']\n",
            "['[ 00:01:27.100 -->  00:01:35.892] AE SPEAKER_01']\n",
            "['[ 00:01:36.263 -->  00:01:38.541] R SPEAKER_00']\n",
            "['[ 00:01:38.879 -->  00:01:40.296] AF SPEAKER_01']\n",
            "['[ 00:01:40.785 -->  00:01:41.545] S SPEAKER_00']\n",
            "['[ 00:01:42.203 -->  00:01:43.975] AG SPEAKER_01']\n",
            "['[ 00:01:44.464 -->  00:01:45.831] T SPEAKER_00']\n",
            "['[ 00:01:46.320 -->  00:01:49.864] AH SPEAKER_01']\n"
          ]
        }
      ],
      "source": [
        "import re\n",
        "dzs = open('diarization.txt').read().splitlines()\n",
        "\n",
        "groups = []\n",
        "g = []\n",
        "lastend = 0\n",
        "\n",
        "for d in dzs:   \n",
        "  if g and (g[0].split()[-1] != d.split()[-1]):      #same speaker\n",
        "    groups.append(g)\n",
        "    g = []\n",
        "  \n",
        "  g.append(d)\n",
        "  \n",
        "  end = re.findall('[0-9]+:[0-9]+:[0-9]+\\.[0-9]+', string=d)[1]\n",
        "  end = millisec(end)\n",
        "  if (lastend > end):       #segment engulfed by a previous segment\n",
        "    groups.append(g)\n",
        "    g = [] \n",
        "  else:\n",
        "    lastend = end\n",
        "if g:\n",
        "  groups.append(g)\n",
        "print(*groups, sep='\\n')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "JOuf8CuRQeZo"
      },
      "source": [
        "Save the audio part corresponding to each diarization group."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 25,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "dRQPUW4Mzvfn",
        "outputId": "7d297cbb-50a4-4350-af8e-0b5b707840a1",
        "vscode": {
          "languageId": "python"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "group 0: 2742--5408\n",
            "group 1: 5745--9255\n",
            "group 2: 9728--12664\n",
            "group 3: 13069--14014\n",
            "group 4: 14504--16967\n",
            "group 5: 17474--24004\n",
            "group 6: 24730--29252\n",
            "group 7: 29252--35783\n",
            "group 8: 36306--42735\n",
            "group 9: 43140--48287\n",
            "group 10: 48895--53721\n",
            "group 11: 53924--54936\n",
            "group 12: 55240--55780\n",
            "group 13: 56320--63509\n",
            "group 14: 63509--72570\n",
            "group 15: 73161--75034\n",
            "group 16: 75962--78679\n",
            "group 17: 78679--79202\n",
            "group 18: 79675--83134\n",
            "group 19: 84467--84839\n",
            "group 20: 87100--95892\n",
            "group 21: 96263--98541\n",
            "group 22: 98878--100295\n",
            "group 23: 100785--101545\n",
            "group 24: 102203--103975\n",
            "group 25: 104464--105831\n",
            "group 26: 106320--109864\n"
          ]
        }
      ],
      "source": [
        "audio = AudioSegment.from_wav(\"input_prep.wav\")\n",
        "gidx = -1\n",
        "for g in groups:\n",
        "  start = re.findall('[0-9]+:[0-9]+:[0-9]+\\.[0-9]+', string=g[0])[0]\n",
        "  end = re.findall('[0-9]+:[0-9]+:[0-9]+\\.[0-9]+', string=g[-1])[1]\n",
        "  start = millisec(start) #- spacermilli\n",
        "  end = millisec(end)  #- spacermilli\n",
        "  gidx += 1\n",
        "  audio[start:end].export(str(gidx) + '.wav', format='wav')\n",
        "  print(f\"group {gidx}: {start}--{end}\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "rv2GYZCsLKBJ"
      },
      "source": [
        "Freeing up some memory"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "cONumKWUjfus",
        "vscode": {
          "languageId": "python"
        }
      },
      "outputs": [],
      "source": [
        "del   DEMO_FILE, pipeline, spacer,  audio, dz"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "AmxtB0k4n8lY"
      },
      "source": [
        "# Whisper's Transcriptions"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "swPVuqWaakkH"
      },
      "source": [
        "Installing Open AI whisper."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 26,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "kUd7I__FUZVc",
        "outputId": "e277f57a-8ebb-4adb-f97d-85aa146dbc4a",
        "vscode": {
          "languageId": "python"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting git+https://github.com/openai/whisper.git\n",
            "  Cloning https://github.com/openai/whisper.git to /tmp/pip-req-build-elsslsmw\n",
            "  Running command git clone --filter=blob:none --quiet https://github.com/openai/whisper.git /tmp/pip-req-build-elsslsmw\n",
            "  Resolved https://github.com/openai/whisper.git to commit b5851c6c40e753606765ac45b85b298e3ae9e00d\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",
            "Requirement already satisfied: more-itertools in /usr/local/lib/python3.9/dist-packages (from openai-whisper==20230314) (9.1.0)\n",
            "Requirement already satisfied: numba in /usr/local/lib/python3.9/dist-packages (from openai-whisper==20230314) (0.56.4)\n",
            "Collecting tiktoken==0.3.1\n",
            "  Downloading tiktoken-0.3.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.7 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.7/1.7 MB\u001b[0m \u001b[31m19.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: numpy in /usr/local/lib/python3.9/dist-packages (from openai-whisper==20230314) (1.22.4)\n",
            "Requirement already satisfied: torch in /usr/local/lib/python3.9/dist-packages (from openai-whisper==20230314) (1.13.1+cu117)\n",
            "Requirement already satisfied: tqdm in /usr/local/lib/python3.9/dist-packages (from openai-whisper==20230314) (4.65.0)\n",
            "Collecting ffmpeg-python==0.2.0\n",
            "  Downloading ffmpeg_python-0.2.0-py3-none-any.whl (25 kB)\n",
            "Requirement already satisfied: triton==2.0.0 in /usr/local/lib/python3.9/dist-packages (from openai-whisper==20230314) (2.0.0)\n",
            "Requirement already satisfied: future in /usr/local/lib/python3.9/dist-packages (from ffmpeg-python==0.2.0->openai-whisper==20230314) (0.18.3)\n",
            "Requirement already satisfied: requests>=2.26.0 in /usr/local/lib/python3.9/dist-packages (from tiktoken==0.3.1->openai-whisper==20230314) (2.27.1)\n",
            "Requirement already satisfied: regex>=2022.1.18 in /usr/local/lib/python3.9/dist-packages (from tiktoken==0.3.1->openai-whisper==20230314) (2022.10.31)\n",
            "Requirement already satisfied: lit in /usr/local/lib/python3.9/dist-packages (from triton==2.0.0->openai-whisper==20230314) (16.0.0)\n",
            "Requirement already satisfied: cmake in /usr/local/lib/python3.9/dist-packages (from triton==2.0.0->openai-whisper==20230314) (3.25.2)\n",
            "Requirement already satisfied: filelock in /usr/local/lib/python3.9/dist-packages (from triton==2.0.0->openai-whisper==20230314) (3.10.7)\n",
            "Requirement already satisfied: setuptools in /usr/local/lib/python3.9/dist-packages (from numba->openai-whisper==20230314) (67.6.1)\n",
            "Requirement already satisfied: llvmlite<0.40,>=0.39.0dev0 in /usr/local/lib/python3.9/dist-packages (from numba->openai-whisper==20230314) (0.39.1)\n",
            "Requirement already satisfied: typing-extensions in /usr/local/lib/python3.9/dist-packages (from torch->openai-whisper==20230314) (4.5.0)\n",
            "Requirement already satisfied: charset-normalizer~=2.0.0 in /usr/local/lib/python3.9/dist-packages (from requests>=2.26.0->tiktoken==0.3.1->openai-whisper==20230314) (2.0.12)\n",
            "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/local/lib/python3.9/dist-packages (from requests>=2.26.0->tiktoken==0.3.1->openai-whisper==20230314) (1.26.15)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.9/dist-packages (from requests>=2.26.0->tiktoken==0.3.1->openai-whisper==20230314) (2022.12.7)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.9/dist-packages (from requests>=2.26.0->tiktoken==0.3.1->openai-whisper==20230314) (3.4)\n",
            "Building wheels for collected packages: openai-whisper\n",
            "  Building wheel for openai-whisper (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for openai-whisper: filename=openai_whisper-20230314-py3-none-any.whl size=796955 sha256=b79523b3c8daef9d0acf1a697a8a12222318aeefb676044baa38f505b316e7a4\n",
            "  Stored in directory: /tmp/pip-ephem-wheel-cache-a7qbf1y3/wheels/fe/03/29/e7919208d11b4ab32972cb448bb84a9a675d92cd52c9a48341\n",
            "Successfully built openai-whisper\n",
            "Installing collected packages: ffmpeg-python, tiktoken, openai-whisper\n",
            "Successfully installed ffmpeg-python-0.2.0 openai-whisper-20230314 tiktoken-0.3.1\n",
            "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\n",
            "\u001b[0m"
          ]
        }
      ],
      "source": [
        "!pip install git+https://github.com/openai/whisper.git "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "pBO8IpdiRQ0X"
      },
      "source": [
        "Run whisper on all audio files. Whisper generates the transcription and writes it to a file."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 27,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "AHKf0tFVmGyq",
        "outputId": "795b4cfc-b430-4639-cab6-7e76ed145169",
        "vscode": {
          "languageId": "python"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "100%|██████████████████████████████████████| 2.87G/2.87G [00:20<00:00, 152MiB/s]\n"
          ]
        }
      ],
      "source": [
        "import whisper\n",
        "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
        "model = whisper.load_model('large', device = device)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 34,
      "metadata": {
        "id": "odstu62EnMLL",
        "vscode": {
          "languageId": "python"
        }
      },
      "outputs": [],
      "source": [
        "import json\n",
        "for i in range(len(groups)):\n",
        "  audiof = str(i) + '.wav'\n",
        "  result = model.transcribe(audio=audiof, language='en', word_timestamps=True)#, initial_prompt=result.get('text', \"\"))\n",
        "  with open(str(i)+'.json', \"w\") as outfile:\n",
        "    json.dump(result, outfile, indent=4)  "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "u_UyWQMXpB3N"
      },
      "source": [
        "# Generating the HTML and/or txt file from the Transcriptions and the Diarization"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "V2qTkKD_30FG"
      },
      "source": [
        "Change or add to the speaker names and collors bellow as you wish `(speaker, textbox color, speaker color)`."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 35,
      "metadata": {
        "id": "j7EP6fO73wTY",
        "vscode": {
          "languageId": "python"
        }
      },
      "outputs": [],
      "source": [
        "speakers = {'SPEAKER_00':('Customer', '#e1ffc7', 'darkgreen'), 'SPEAKER_01':('Call Center', 'white', 'darkorange') }\n",
        "def_boxclr = 'white'\n",
        "def_spkrclr = 'orange'"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "KndDYy_xMpMq"
      },
      "source": [
        "In the generated HTML,  the transcriptions for each diarization group are written in a box, with the speaker name on the top. By clicking a transcription, the embedded video jumps to the right time ."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 36,
      "metadata": {
        "id": "vKdx9Hwg630K",
        "vscode": {
          "languageId": "python"
        }
      },
      "outputs": [],
      "source": [
        "if Source == 'Youtube':\n",
        "    preS = '<!DOCTYPE html>\\n<html lang=\"en\">\\n\\n<head>\\n\\t<meta charset=\"UTF-8\">\\n\\t<meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\">\\n\\t<meta http-equiv=\"X-UA-Compatible\" content=\"ie=edge\">\\n\\t<title>' + \\\n",
        "video_title+ \\\n",
        "'</title>\\n\\t<style>\\n\\t\\tbody {\\n\\t\\t\\tfont-family: sans-serif;\\n\\t\\t\\tfont-size: 14px;\\n\\t\\t\\tcolor: #111;\\n\\t\\t\\tpadding: 0 0 1em 0;\\n\\t\\t\\tbackground-color: #efe7dd;\\n\\t\\t}\\n\\n\\t\\ttable {\\n\\t\\t\\tborder-spacing: 10px;\\n\\t\\t}\\n\\n\\t\\tth {\\n\\t\\t\\ttext-align: left;\\n\\t\\t}\\n\\n\\t\\t.lt {\\n\\t\\t\\tcolor: inherit;\\n\\t\\t\\ttext-decoration: inherit;\\n\\t\\t}\\n\\n\\t\\t.l {\\n\\t\\t\\tcolor: #050;\\n\\t\\t}\\n\\n\\t\\t.s {\\n\\t\\t\\tdisplay: inline-block;\\n\\t\\t}\\n\\n\\t\\t.c {\\n\\t\\t\\tdisplay: inline-block;\\n\\t\\t}\\n\\n\\t\\t.e {\\n\\t\\t\\t/*background-color: white; Changing background color */\\n\\t\\t\\tborder-radius: 10px;\\n\\t\\t\\t/* Making border radius */\\n\\t\\t\\twidth: 50%;\\n\\t\\t\\t/* Making auto-sizable width */\\n\\t\\t\\tpadding: 0 0 0 0;\\n\\t\\t\\t/* Making space around letters */\\n\\t\\t\\tfont-size: 14px;\\n\\t\\t\\t/* Changing font size */\\n\\t\\t\\tmargin-bottom: 0;\\n\\t\\t}\\n\\n\\t\\t.t {\\n\\t\\t\\tdisplay: inline-block;\\n\\t\\t}\\n\\n\\t\\t#player-div {\\n\\t\\t\\tposition: sticky;\\n\\t\\t\\ttop: 20px;\\n\\t\\t\\tfloat: right;\\n\\t\\t\\twidth: 40%\\n\\t\\t}\\n\\n\\t\\t#player {\\n\\t\\t\\taspect-ratio: 16 / 9;\\n\\t\\t\\twidth: 100%;\\n\\t\\t\\theight: auto;\\n\\n\\t\\t}\\n\\n\\t\\ta {\\n\\t\\t\\tdisplay: inline;\\n\\t\\t}\\n\\t</style>\\n\\t<script>\\n\\t\\tvar tag = document.createElement(\\'script\\');\\n\\t\\ttag.src = \"https://www.youtube.com/iframe_api\";\\n\\t\\tvar firstScriptTag = document.getElementsByTagName(\\'script\\')[0];\\n\\t\\tfirstScriptTag.parentNode.insertBefore(tag, firstScriptTag);\\n\\t\\tvar player;\\n\\t\\tfunction onYouTubeIframeAPIReady() {\\n\\t\\t\\tplayer = new YT.Player(\\'player\\', {\\n\\t\\t\\t\\t//height: \\'210\\',\\n\\t\\t\\t\\t//width: \\'340\\',\\n\\t\\t\\t\\tvideoId: \\''+ \\\n",
        "video_id + \\\n",
        "'\\',\\n\\t\\t\\t});\\n\\n\\n\\n\\t\\t\\t// This is the source \"window\" that will emit the events.\\n\\t\\t\\tvar iframeWindow = player.getIframe().contentWindow;\\n\\t\\t\\tvar lastword = null;\\n\\n\\t\\t\\t// So we can compare against new updates.\\n\\t\\t\\tvar lastTimeUpdate = \"-1\";\\n\\n\\t\\t\\t// Listen to events triggered by postMessage,\\n\\t\\t\\t// this is how different windows in a browser\\n\\t\\t\\t// (such as a popup or iFrame) can communicate.\\n\\t\\t\\t// See: https://developer.mozilla.org/en-US/docs/Web/API/Window/postMessage\\n\\t\\t\\twindow.addEventListener(\"message\", function (event) {\\n\\t\\t\\t\\t// Check that the event was sent from the YouTube IFrame.\\n\\t\\t\\t\\tif (event.source === iframeWindow) {\\n\\t\\t\\t\\t\\tvar data = JSON.parse(event.data);\\n\\n\\t\\t\\t\\t\\t// The \"infoDelivery\" event is used by YT to transmit any\\n\\t\\t\\t\\t\\t// kind of information change in the player,\\n\\t\\t\\t\\t\\t// such as the current time or a playback quality change.\\n\\t\\t\\t\\t\\tif (\\n\\t\\t\\t\\t\\t\\tdata.event === \"infoDelivery\" &&\\n\\t\\t\\t\\t\\t\\tdata.info &&\\n\\t\\t\\t\\t\\t\\tdata.info.currentTime\\n\\t\\t\\t\\t\\t) {\\n\\t\\t\\t\\t\\t\\t// currentTime is emitted very frequently (milliseconds),\\n\\t\\t\\t\\t\\t\\t// but we only care about whole second changes.\\n\\t\\t\\t\\t\\t\\tvar ts = (data.info.currentTime).toFixed(1).toString();\\n\\t\\t\\t\\t\\t\\tts = (Math.round((data.info.currentTime) * 5) / 5).toFixed(1);\\n\\t\\t\\t\\t\\t\\tts = ts.toString();\\n\\t\\t\\t\\t\\t\\tconsole.log(ts)\\n\\t\\t\\t\\t\\t\\tif (ts !== lastTimeUpdate) {\\n\\t\\t\\t\\t\\t\\t\\tlastTimeUpdate = ts;\\n\\n\\t\\t\\t\\t\\t\\t\\t// It\\'s now up to you to format the time.\\n\\t\\t\\t\\t\\t\\t\\t//document.getElementById(\"time2\").innerHTML = time;\\n\\t\\t\\t\\t\\t\\t\\tword = document.getElementById(ts)\\n\\t\\t\\t\\t\\t\\t\\tif (word) {\\n\\t\\t\\t\\t\\t\\t\\t\\tif (lastword) {\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tlastword.style.fontWeight = \\'normal\\';\\n\\t\\t\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\t\\t\\tlastword = word;\\n\\t\\t\\t\\t\\t\\t\\t\\t//word.style.textDecoration = \\'underline\\';\\n\\t\\t\\t\\t\\t\\t\\t\\tword.style.fontWeight = \\'bold\\';\\n\\n\\t\\t\\t\\t\\t\\t\\t\\tlet toggle = document.getElementById(\"autoscroll\");\\n\\t\\t\\t\\t\\t\\t\\t\\tif (toggle.checked) {\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tlet position = word.offsetTop - 20;\\n\\t\\t\\t\\t\\t\\t\\t\\t\\twindow.scrollTo({\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\ttop: position,\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tbehavior: \\'smooth\\'\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t});\\n\\t\\t\\t\\t\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\t\\t\\t})\\n\\t\\t}\\n\\t\\tfunction jumptoTime(timepoint, id) {\\n\\t\\t\\tevent.preventDefault();\\n\\t\\t\\thistory.pushState(null, null, \"#\" + id);\\n\\t\\t\\tplayer.seekTo(timepoint);\\n\\t\\t\\tplayer.playVideo();\\n\\t\\t}\\n\\t</script>\\n</head>\\n\\n<body>\\n\\t<h2>'  + \\\n",
        "video_title + \\\n",
        "'</h2>\\n\\t<i>Click on a part of the transcription, to jump to its video, and get an anchor to it in the address\\n\\t\\tbar<br><br></i>\\n\\t<div id=\"player-div\">\\n\\t\\t<div id=\"player\"></div>\\n\\t\\t<div><label for=\"autoscroll\">auto-scroll: </label>\\n\\t\\t\\t<input type=\"checkbox\" id=\"autoscroll\" checked>\\n\\t\\t</div>\\n\\t</div>\\n  '\n",
        "else:\n",
        "    preS = '\\n<!DOCTYPE html>\\n<html lang=\"en\">\\n\\n<head>\\n\\t<meta charset=\"UTF-8\">\\n\\t<meta name=\"viewport\" content=\"whtmlidth=device-width, initial-scale=1.0\">\\n\\t<meta http-equiv=\"X-UA-Compatible\" content=\"ie=edge\">\\n\\t<title>' + \\\n",
        "    audio_title+ \\\n",
        "    '</title>\\n\\t<style>\\n\\t\\tbody {\\n\\t\\t\\tfont-family: sans-serif;\\n\\t\\t\\tfont-size: 14px;\\n\\t\\t\\tcolor: #111;\\n\\t\\t\\tpadding: 0 0 1em 0;\\n\\t\\t\\tbackground-color: #efe7dd;\\n\\t\\t}\\n\\n\\t\\ttable {\\n\\t\\t\\tborder-spacing: 10px;\\n\\t\\t}\\n\\n\\t\\tth {\\n\\t\\t\\ttext-align: left;\\n\\t\\t}\\n\\n\\t\\t.lt {\\n\\t\\t\\tcolor: inherit;\\n\\t\\t\\ttext-decoration: inherit;\\n\\t\\t}\\n\\n\\t\\t.l {\\n\\t\\t\\tcolor: #050;\\n\\t\\t}\\n\\n\\t\\t.s {\\n\\t\\t\\tdisplay: inline-block;\\n\\t\\t}\\n\\n\\t\\t.c {\\n\\t\\t\\tdisplay: inline-block;\\n\\t\\t}\\n\\n\\t\\t.e {\\n\\t\\t\\t/*background-color: white; Changing background color */\\n\\t\\t\\tborder-radius: 10px;\\n\\t\\t\\t/* Making border radius */\\n\\t\\t\\twidth: 50%;\\n\\t\\t\\t/* Making auto-sizable width */\\n\\t\\t\\tpadding: 0 0 0 0;\\n\\t\\t\\t/* Making space around letters */\\n\\t\\t\\tfont-size: 14px;\\n\\t\\t\\t/* Changing font size */\\n\\t\\t\\tmargin-bottom: 0;\\n\\t\\t}\\n\\n\\t\\t.t {\\n\\t\\t\\tdisplay: inline-block;\\n\\t\\t}\\n\\n\\t\\t#player-div {\\n\\t\\t\\tposition: sticky;\\n\\t\\t\\ttop: 20px;\\n\\t\\t\\tfloat: right;\\n\\t\\t\\twidth: 40%\\n\\t\\t}\\n\\n\\t\\t#player {\\n\\t\\t\\taspect-ratio: 16 / 9;\\n\\t\\t\\twidth: 100%;\\n\\t\\t\\theight: auto;\\n\\t\\t}\\n\\n\\t\\ta {\\n\\t\\t\\tdisplay: inline;\\n\\t\\t}\\n\\t</style>';\n",
        "    preS += '\\n\\t<script>\\n\\twindow.onload = function () {\\n\\t\\t\\tvar player = document.getElementById(\"audio_player\");\\n\\t\\t\\tvar player;\\n\\t\\t\\tvar lastword = null;\\n\\n\\t\\t\\t// So we can compare against new updates.\\n\\t\\t\\tvar lastTimeUpdate = \"-1\";\\n\\n\\t\\t\\tsetInterval(function () {\\n\\t\\t\\t\\t// currentTime is checked very frequently (1 millisecond),\\n\\t\\t\\t\\t// but we only care about whole second changes.\\n\\t\\t\\t\\tvar ts = (player.currentTime).toFixed(1).toString();\\n\\t\\t\\t\\tts = (Math.round((player.currentTime) * 5) / 5).toFixed(1);\\n\\t\\t\\t\\tts = ts.toString();\\n\\t\\t\\t\\tconsole.log(ts);\\n\\t\\t\\t\\tif (ts !== lastTimeUpdate) {\\n\\t\\t\\t\\t\\tlastTimeUpdate = ts;\\n\\n\\t\\t\\t\\t\\t// Its now up to you to format the time.\\n\\t\\t\\t\\t\\tword = document.getElementById(ts)\\n\\t\\t\\t\\t\\tif (word) {\\n\\t\\t\\t\\t\\t\\tif (lastword) {\\n\\t\\t\\t\\t\\t\\t\\tlastword.style.fontWeight = \"normal\";\\n\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\tlastword = word;\\n\\t\\t\\t\\t\\t\\t//word.style.textDecoration = \"underline\";\\n\\t\\t\\t\\t\\t\\tword.style.fontWeight = \"bold\";\\n\\n\\t\\t\\t\\t\\t\\tlet toggle = document.getElementById(\"autoscroll\");\\n\\t\\t\\t\\t\\t\\tif (toggle.checked) {\\n\\t\\t\\t\\t\\t\\t\\tlet position = word.offsetTop - 20;\\n\\t\\t\\t\\t\\t\\t\\twindow.scrollTo({\\n\\t\\t\\t\\t\\t\\t\\t\\ttop: position,\\n\\t\\t\\t\\t\\t\\t\\t\\tbehavior: \"smooth\"\\n\\t\\t\\t\\t\\t\\t\\t});\\n\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\t\\t\\t}, 0.1);\\n\\t\\t}\\n\\n\\t\\tfunction jumptoTime(timepoint, id) {\\n\\t\\t\\tvar player = document.getElementById(\"audio_player\");\\n\\t\\t\\thistory.pushState(null, null, \"#\" + id);\\n\\t\\t\\tplayer.pause();\\n\\t\\t\\tplayer.currentTime = timepoint;\\n\\t\\t\\tplayer.play();\\n\\t\\t}\\n\\t\\t</script>\\n\\t</head>';\n",
        "    preS += '\\n\\n<body>\\n\\t<h2>' + audio_title + '</h2>\\n\\t<i>Click on a part of the transcription, to jump to its portion of audio, and get an anchor to it in the address\\n\\t\\tbar<br><br></i>\\n\\t<div id=\"player-div\">\\n\\t\\t<div id=\"player\">\\n\\t\\t\\t<audio controls=\"controls\" id=\"audio_player\">\\n\\t\\t\\t\\t<source src=\"input.wav\" />\\n\\t\\t\\t</audio>\\n\\t\\t</div>\\n\\t\\t<div><label for=\"autoscroll\">auto-scroll: </label>\\n\\t\\t\\t<input type=\"checkbox\" id=\"autoscroll\" checked>\\n\\t\\t</div>\\n\\t</div>\\n';\n",
        "\n",
        "postS = '\\t</body>\\n</html>'"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 37,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "vqO6Nd6YfZYa",
        "outputId": "047a6ee0-82e7-4613-fa03-0fee2606df12",
        "vscode": {
          "languageId": "python"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "captions saved to capspeaker.txt:\n",
            "[00:00:000.74 --> 00:00:003.14] [Call Center]  Thank you for calling Martha's Flourish, TowneS60.\n",
            "[00:00:003.75 --> 00:00:007.17] [Customer]  Hello, I'd like to order flowers and I think you have what I'm looking for.\n",
            "[00:00:007.73 --> 00:00:010.41] [Call Center]  I'd be happy to take care of your order. May I have your name, please?\n",
            "[00:00:011.07 --> 00:00:011.87] [Customer]  Randall Thomas.\n",
            "[00:00:013.10 --> 00:00:014.86] [Call Center]  Randall Thomas, can you spell that for me?\n",
            "[00:00:015.65 --> 00:00:021.97] [Customer]  Randall R-A-N-D-A-L-L, Bama D-H-O-M-A-N.\n",
            "[00:00:022.73 --> 00:00:024.31] [Call Center]  Thank you for that information, Randall.\n",
            "[00:00:024.39 --> 00:00:027.07] [Call Center]  May have your home or office number area code first.\n",
            "[00:00:027.25 --> 00:00:033.63] [Customer]  Aircode 409, then 5-866-5088.\n",
            "[00:00:035.23 --> 00:00:040.41] [Call Center]  That's 409-866-5088. Do you have a fax number or email address?\n",
            "[00:00:041.14 --> 00:00:046.26] [Customer]  My email is randall.thomas at gmail.com\n",
            "[00:00:047.41 --> 00:00:051.41] [Call Center]  Randall.Thomas at gmail.com may have your shipping address\n",
            "[00:00:051.92 --> 00:00:052.52] [Customer]  6800\n",
            "[00:00:053.24 --> 00:00:053.56] [Call Center]  Okay.\n",
            "[00:00:054.32 --> 00:00:057.26] [Customer]  Badass Avenue, Beaumont, Texas.\n",
            "[00:00:058.20 --> 00:01:000.78] [Customer]  Zip code is 77706.\n",
            "[00:01:001.51 --> 00:01:006.35] [Call Center]  Gladys Avenue, Beaumont, Texas, zip code 77706.\n",
            "[00:01:006.75 --> 00:01:008.03] [Call Center]  Thank you for the information.\n",
            "[00:01:008.47 --> 00:01:010.33] [Call Center]  What products were you interested in purchasing?\n",
            "[00:01:011.16 --> 00:01:012.80] [Customer]  Red roses, probably a dozen.\n",
            "[00:01:013.96 --> 00:01:016.34] [Call Center]  One dozen of red roses, do you want long stems?\n",
            "[00:01:016.68 --> 00:01:016.94] [Customer]  Sure.\n",
            "[00:01:017.67 --> 00:01:020.92] [Call Center]  Alright, Rano, let me process the order. One moment, please.\n",
            "[00:01:022.47 --> 00:01:022.73] [Customer]  Okay.\n",
            "[00:01:025.10 --> 00:01:028.34] [Call Center]  Randall, you are ordering one dozen long-stand red roses.\n",
            "[00:01:028.62 --> 00:01:032.86] [Call Center]  The total amount of your order is $40, and it will be shipped to your address within\n",
            "[00:01:032.86 --> 00:01:033.68] [Call Center]  24 hours.\n",
            "[00:01:034.26 --> 00:01:036.34] [Customer]  I was thinking of delivering my roses again.\n",
            "[00:01:036.88 --> 00:01:037.98] [Call Center]  within 24 hours.\n",
            "[00:01:038.78 --> 00:01:039.53] [Customer]  Okay, no problem.\n",
            "[00:01:040.20 --> 00:01:041.84] [Call Center]  Is there anything else I can help you with?\n",
            "[00:01:042.70 --> 00:01:043.64] [Customer]  That's all for now, thanks.\n",
            "[00:01:044.32 --> 00:01:047.74] [Call Center]  No problem, Randall. Thank you for calling Martha's Flourish. Have a nice day.\n",
            "\n",
            "\n",
            "captions saved to capspeaker.html:\n",
            "<!DOCTYPE html>\n",
            "<html lang=\"en\">\n",
            "\n",
            "<head>\n",
            "\t<meta charset=\"UTF-8\">\n",
            "\t<meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\">\n",
            "\t<meta http-equiv=\"X-UA-Compatible\" content=\"ie=edge\">\n",
            "\t<title></title>\n",
            "\t<style>\n",
            "\t\tbody {\n",
            "\t\t\tfont-family: sans-serif;\n",
            "\t\t\tfont-size: 14px;\n",
            "\t\t\tcolor: #111;\n",
            "\t\t\tpadding: 0 0 1em 0;\n",
            "\t\t\tbackground-color: #efe7dd;\n",
            "\t\t}\n",
            "\n",
            "\t\ttable {\n",
            "\t\t\tborder-spacing: 10px;\n",
            "\t\t}\n",
            "\n",
            "\t\tth {\n",
            "\t\t\ttext-align: left;\n",
            "\t\t}\n",
            "\n",
            "\t\t.lt {\n",
            "\t\t\tcolor: inherit;\n",
            "\t\t\ttext-decoration: inherit;\n",
            "\t\t}\n",
            "\n",
            "\t\t.l {\n",
            "\t\t\tcolor: #050;\n",
            "\t\t}\n",
            "\n",
            "\t\t.s {\n",
            "\t\t\tdisplay: inline-block;\n",
            "\t\t}\n",
            "\n",
            "\t\t.c {\n",
            "\t\t\tdisplay: inline-block;\n",
            "\t\t}\n",
            "\n",
            "\t\t.e {\n",
            "\t\t\t/*background-color: white; Changing background color */\n",
            "\t\t\tborder-radius: 10px;\n",
            "\t\t\t/* Making border radius */\n",
            "\t\t\twidth: 50%;\n",
            "\t\t\t/* Making auto-sizable width */\n",
            "\t\t\tpadding: 0 0 0 0;\n",
            "\t\t\t/* Making space around letters */\n",
            "\t\t\tfont-size: 14px;\n",
            "\t\t\t/* Changing font size */\n",
            "\t\t\tmargin-bottom: 0;\n",
            "\t\t}\n",
            "\n",
            "\t\t.t {\n",
            "\t\t\tdisplay: inline-block;\n",
            "\t\t}\n",
            "\n",
            "\t\t#player-div {\n",
            "\t\t\tposition: sticky;\n",
            "\t\t\ttop: 20px;\n",
            "\t\t\tfloat: right;\n",
            "\t\t\twidth: 40%\n",
            "\t\t}\n",
            "\n",
            "\t\t#player {\n",
            "\t\t\taspect-ratio: 16 / 9;\n",
            "\t\t\twidth: 100%;\n",
            "\t\t\theight: auto;\n",
            "\n",
            "\t\t}\n",
            "\n",
            "\t\ta {\n",
            "\t\t\tdisplay: inline;\n",
            "\t\t}\n",
            "\t</style>\n",
            "\t<script>\n",
            "\t\tvar tag = document.createElement('script');\n",
            "\t\ttag.src = \"https://www.youtube.com/iframe_api\";\n",
            "\t\tvar firstScriptTag = document.getElementsByTagName('script')[0];\n",
            "\t\tfirstScriptTag.parentNode.insertBefore(tag, firstScriptTag);\n",
            "\t\tvar player;\n",
            "\t\tfunction onYouTubeIframeAPIReady() {\n",
            "\t\t\tplayer = new YT.Player('player', {\n",
            "\t\t\t\t//height: '210',\n",
            "\t\t\t\t//width: '340',\n",
            "\t\t\t\tvideoId: '',\n",
            "\t\t\t});\n",
            "\n",
            "\n",
            "\n",
            "\t\t\t// This is the source \"window\" that will emit the events.\n",
            "\t\t\tvar iframeWindow = player.getIframe().contentWindow;\n",
            "\t\t\tvar lastword = null;\n",
            "\n",
            "\t\t\t// So we can compare against new updates.\n",
            "\t\t\tvar lastTimeUpdate = \"-1\";\n",
            "\n",
            "\t\t\t// Listen to events triggered by postMessage,\n",
            "\t\t\t// this is how different windows in a browser\n",
            "\t\t\t// (such as a popup or iFrame) can communicate.\n",
            "\t\t\t// See: https://developer.mozilla.org/en-US/docs/Web/API/Window/postMessage\n",
            "\t\t\twindow.addEventListener(\"message\", function (event) {\n",
            "\t\t\t\t// Check that the event was sent from the YouTube IFrame.\n",
            "\t\t\t\tif (event.source === iframeWindow) {\n",
            "\t\t\t\t\tvar data = JSON.parse(event.data);\n",
            "\n",
            "\t\t\t\t\t// The \"infoDelivery\" event is used by YT to transmit any\n",
            "\t\t\t\t\t// kind of information change in the player,\n",
            "\t\t\t\t\t// such as the current time or a playback quality change.\n",
            "\t\t\t\t\tif (\n",
            "\t\t\t\t\t\tdata.event === \"infoDelivery\" &&\n",
            "\t\t\t\t\t\tdata.info &&\n",
            "\t\t\t\t\t\tdata.info.currentTime\n",
            "\t\t\t\t\t) {\n",
            "\t\t\t\t\t\t// currentTime is emitted very frequently (milliseconds),\n",
            "\t\t\t\t\t\t// but we only care about whole second changes.\n",
            "\t\t\t\t\t\tvar ts = (data.info.currentTime).toFixed(1).toString();\n",
            "\t\t\t\t\t\tts = (Math.round((data.info.currentTime) * 5) / 5).toFixed(1);\n",
            "\t\t\t\t\t\tts = ts.toString();\n",
            "\t\t\t\t\t\tconsole.log(ts)\n",
            "\t\t\t\t\t\tif (ts !== lastTimeUpdate) {\n",
            "\t\t\t\t\t\t\tlastTimeUpdate = ts;\n",
            "\n",
            "\t\t\t\t\t\t\t// It's now up to you to format the time.\n",
            "\t\t\t\t\t\t\t//document.getElementById(\"time2\").innerHTML = time;\n",
            "\t\t\t\t\t\t\tword = document.getElementById(ts)\n",
            "\t\t\t\t\t\t\tif (word) {\n",
            "\t\t\t\t\t\t\t\tif (lastword) {\n",
            "\t\t\t\t\t\t\t\t\tlastword.style.fontWeight = 'normal';\n",
            "\t\t\t\t\t\t\t\t}\n",
            "\t\t\t\t\t\t\t\tlastword = word;\n",
            "\t\t\t\t\t\t\t\t//word.style.textDecoration = 'underline';\n",
            "\t\t\t\t\t\t\t\tword.style.fontWeight = 'bold';\n",
            "\n",
            "\t\t\t\t\t\t\t\tlet toggle = document.getElementById(\"autoscroll\");\n",
            "\t\t\t\t\t\t\t\tif (toggle.checked) {\n",
            "\t\t\t\t\t\t\t\t\tlet position = word.offsetTop - 20;\n",
            "\t\t\t\t\t\t\t\t\twindow.scrollTo({\n",
            "\t\t\t\t\t\t\t\t\t\ttop: position,\n",
            "\t\t\t\t\t\t\t\t\t\tbehavior: 'smooth'\n",
            "\t\t\t\t\t\t\t\t\t});\n",
            "\t\t\t\t\t\t\t\t}\n",
            "\n",
            "\t\t\t\t\t\t\t}\n",
            "\t\t\t\t\t\t}\n",
            "\t\t\t\t\t}\n",
            "\t\t\t\t}\n",
            "\t\t\t})\n",
            "\t\t}\n",
            "\t\tfunction jumptoTime(timepoint, id) {\n",
            "\t\t\tevent.preventDefault();\n",
            "\t\t\thistory.pushState(null, null, \"#\" + id);\n",
            "\t\t\tplayer.seekTo(timepoint);\n",
            "\t\t\tplayer.playVideo();\n",
            "\t\t}\n",
            "\t</script>\n",
            "</head>\n",
            "\n",
            "<body>\n",
            "\t<h2></h2>\n",
            "\t<i>Click on a part of the transcription, to jump to its video, and get an anchor to it in the address\n",
            "\t\tbar<br><br></i>\n",
            "\t<div id=\"player-div\">\n",
            "\t\t<div id=\"player\"></div>\n",
            "\t\t<div><label for=\"autoscroll\">auto-scroll: </label>\n",
            "\t\t\t<input type=\"checkbox\" id=\"autoscroll\" checked>\n",
            "\t\t</div>\n",
            "\t</div>\n",
            "  <div class=\"e\" style=\"background-color: white\">\n",
            "<p  style=\"margin:0;padding: 5px 10px 10px 10px;word-wrap:normal;white-space:normal;\">\n",
            "<span style=\"color:darkorange;font-weight: bold;\">Call Center</span><br>\n",
            "\t\t\t\t<a href=\"#00:00:000.74\" id=\"0.8\" class=\"lt\" onclick=\"jumptoTime(0, this.id)\"> Thank</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:000.92\" id=\"1.0\" class=\"lt\" onclick=\"jumptoTime(0, this.id)\"> you</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:001.00\" id=\"1.0\" class=\"lt\" onclick=\"jumptoTime(1, this.id)\"> for</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:001.14\" id=\"1.2\" class=\"lt\" onclick=\"jumptoTime(1, this.id)\"> calling</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:001.40\" id=\"1.4\" class=\"lt\" onclick=\"jumptoTime(1, this.id)\"> Martha's</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:001.92\" id=\"2.0\" class=\"lt\" onclick=\"jumptoTime(1, this.id)\"> Flourish,</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:002.46\" id=\"2.4\" class=\"lt\" onclick=\"jumptoTime(2, this.id)\"> TowneS60.</a><!--\n",
            "\t\t\t\t--></p>\n",
            "</div>\n",
            "<div class=\"e\" style=\"background-color: #e1ffc7\">\n",
            "<p  style=\"margin:0;padding: 5px 10px 10px 10px;word-wrap:normal;white-space:normal;\">\n",
            "<span style=\"color:darkgreen;font-weight: bold;\">Customer</span><br>\n",
            "\t\t\t\t<a href=\"#00:00:003.75\" id=\"3.8\" class=\"lt\" onclick=\"jumptoTime(3, this.id)\"> Hello,</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:004.11\" id=\"4.2\" class=\"lt\" onclick=\"jumptoTime(4, this.id)\"> I'd</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:004.21\" id=\"4.2\" class=\"lt\" onclick=\"jumptoTime(4, this.id)\"> like</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:004.45\" id=\"4.4\" class=\"lt\" onclick=\"jumptoTime(4, this.id)\"> to</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:004.61\" id=\"4.6\" class=\"lt\" onclick=\"jumptoTime(4, this.id)\"> order</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:004.83\" id=\"4.8\" class=\"lt\" onclick=\"jumptoTime(4, this.id)\"> flowers</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:005.49\" id=\"5.4\" class=\"lt\" onclick=\"jumptoTime(5, this.id)\"> and</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:005.72\" id=\"5.8\" class=\"lt\" onclick=\"jumptoTime(5, this.id)\"> I</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:005.87\" id=\"5.8\" class=\"lt\" onclick=\"jumptoTime(5, this.id)\"> think</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:006.08\" id=\"6.0\" class=\"lt\" onclick=\"jumptoTime(6, this.id)\"> you</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:006.21\" id=\"6.2\" class=\"lt\" onclick=\"jumptoTime(6, this.id)\"> have</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:006.41\" id=\"6.4\" class=\"lt\" onclick=\"jumptoTime(6, this.id)\"> what</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:006.57\" id=\"6.6\" class=\"lt\" onclick=\"jumptoTime(6, this.id)\"> I'm</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:006.72\" id=\"6.8\" class=\"lt\" onclick=\"jumptoTime(6, this.id)\"> looking</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:006.95\" id=\"7.0\" class=\"lt\" onclick=\"jumptoTime(6, this.id)\"> for.</a><!--\n",
            "\t\t\t\t--></p>\n",
            "</div>\n",
            "<div class=\"e\" style=\"background-color: white\">\n",
            "<p  style=\"margin:0;padding: 5px 10px 10px 10px;word-wrap:normal;white-space:normal;\">\n",
            "<span style=\"color:darkorange;font-weight: bold;\">Call Center</span><br>\n",
            "\t\t\t\t<a href=\"#00:00:007.73\" id=\"7.8\" class=\"lt\" onclick=\"jumptoTime(7, this.id)\"> I'd</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:007.97\" id=\"8.0\" class=\"lt\" onclick=\"jumptoTime(7, this.id)\"> be</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:008.07\" id=\"8.0\" class=\"lt\" onclick=\"jumptoTime(8, this.id)\"> happy</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:008.27\" id=\"8.2\" class=\"lt\" onclick=\"jumptoTime(8, this.id)\"> to</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:008.45\" id=\"8.4\" class=\"lt\" onclick=\"jumptoTime(8, this.id)\"> take</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:008.65\" id=\"8.6\" class=\"lt\" onclick=\"jumptoTime(8, this.id)\"> care</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:008.83\" id=\"8.8\" class=\"lt\" onclick=\"jumptoTime(8, this.id)\"> of</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:008.95\" id=\"9.0\" class=\"lt\" onclick=\"jumptoTime(8, this.id)\"> your</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:009.05\" id=\"9.0\" class=\"lt\" onclick=\"jumptoTime(9, this.id)\"> order.</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:009.41\" id=\"9.4\" class=\"lt\" onclick=\"jumptoTime(9, this.id)\"> May</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:009.51\" id=\"9.6\" class=\"lt\" onclick=\"jumptoTime(9, this.id)\"> I</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:009.59\" id=\"9.6\" class=\"lt\" onclick=\"jumptoTime(9, this.id)\"> have</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:009.77\" id=\"9.8\" class=\"lt\" onclick=\"jumptoTime(9, this.id)\"> your</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:009.91\" id=\"10.0\" class=\"lt\" onclick=\"jumptoTime(9, this.id)\"> name,</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:010.27\" id=\"10.2\" class=\"lt\" onclick=\"jumptoTime(10, this.id)\"> please?</a><!--\n",
            "\t\t\t\t--></p>\n",
            "</div>\n",
            "<div class=\"e\" style=\"background-color: #e1ffc7\">\n",
            "<p  style=\"margin:0;padding: 5px 10px 10px 10px;word-wrap:normal;white-space:normal;\">\n",
            "<span style=\"color:darkgreen;font-weight: bold;\">Customer</span><br>\n",
            "\t\t\t\t<a href=\"#00:00:011.07\" id=\"11.0\" class=\"lt\" onclick=\"jumptoTime(11, this.id)\"> Randall</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:011.55\" id=\"11.6\" class=\"lt\" onclick=\"jumptoTime(11, this.id)\"> Thomas.</a><!--\n",
            "\t\t\t\t--></p>\n",
            "</div>\n",
            "<div class=\"e\" style=\"background-color: white\">\n",
            "<p  style=\"margin:0;padding: 5px 10px 10px 10px;word-wrap:normal;white-space:normal;\">\n",
            "<span style=\"color:darkorange;font-weight: bold;\">Call Center</span><br>\n",
            "\t\t\t\t<a href=\"#00:00:013.10\" id=\"13.2\" class=\"lt\" onclick=\"jumptoTime(13, this.id)\"> Randall</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:013.44\" id=\"13.4\" class=\"lt\" onclick=\"jumptoTime(13, this.id)\"> Thomas,</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:013.78\" id=\"13.8\" class=\"lt\" onclick=\"jumptoTime(13, this.id)\"> can</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:013.88\" id=\"13.8\" class=\"lt\" onclick=\"jumptoTime(13, this.id)\"> you</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:014.02\" id=\"14.0\" class=\"lt\" onclick=\"jumptoTime(14, this.id)\"> spell</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:014.28\" id=\"14.2\" class=\"lt\" onclick=\"jumptoTime(14, this.id)\"> that</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:014.52\" id=\"14.6\" class=\"lt\" onclick=\"jumptoTime(14, this.id)\"> for</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:014.70\" id=\"14.8\" class=\"lt\" onclick=\"jumptoTime(14, this.id)\"> me?</a><!--\n",
            "\t\t\t\t--></p>\n",
            "</div>\n",
            "<div class=\"e\" style=\"background-color: #e1ffc7\">\n",
            "<p  style=\"margin:0;padding: 5px 10px 10px 10px;word-wrap:normal;white-space:normal;\">\n",
            "<span style=\"color:darkgreen;font-weight: bold;\">Customer</span><br>\n",
            "\t\t\t\t<a href=\"#00:00:015.65\" id=\"15.6\" class=\"lt\" onclick=\"jumptoTime(15, this.id)\"> Randall</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:016.35\" id=\"16.4\" class=\"lt\" onclick=\"jumptoTime(16, this.id)\"> R</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:016.79\" id=\"16.8\" class=\"lt\" onclick=\"jumptoTime(16, this.id)\">-A</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:017.07\" id=\"17.0\" class=\"lt\" onclick=\"jumptoTime(17, this.id)\">-N</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:017.45\" id=\"17.4\" class=\"lt\" onclick=\"jumptoTime(17, this.id)\">-D</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:017.95\" id=\"18.0\" class=\"lt\" onclick=\"jumptoTime(17, this.id)\">-A</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:018.19\" id=\"18.2\" class=\"lt\" onclick=\"jumptoTime(18, this.id)\">-L</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:018.43\" id=\"18.4\" class=\"lt\" onclick=\"jumptoTime(18, this.id)\">-L,</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:019.57\" id=\"19.6\" class=\"lt\" onclick=\"jumptoTime(19, this.id)\"> Bama</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:019.91\" id=\"20.0\" class=\"lt\" onclick=\"jumptoTime(19, this.id)\"> D</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:020.77\" id=\"20.8\" class=\"lt\" onclick=\"jumptoTime(20, this.id)\">-H</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:021.07\" id=\"21.0\" class=\"lt\" onclick=\"jumptoTime(21, this.id)\">-O</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:021.43\" id=\"21.4\" class=\"lt\" onclick=\"jumptoTime(21, this.id)\">-M</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:021.75\" id=\"21.8\" class=\"lt\" onclick=\"jumptoTime(21, this.id)\">-A</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:021.89\" id=\"21.8\" class=\"lt\" onclick=\"jumptoTime(21, this.id)\">-N.</a><!--\n",
            "\t\t\t\t--></p>\n",
            "</div>\n",
            "<div class=\"e\" style=\"background-color: white\">\n",
            "<p  style=\"margin:0;padding: 5px 10px 10px 10px;word-wrap:normal;white-space:normal;\">\n",
            "<span style=\"color:darkorange;font-weight: bold;\">Call Center</span><br>\n",
            "\t\t\t\t<a href=\"#00:00:022.73\" id=\"22.8\" class=\"lt\" onclick=\"jumptoTime(22, this.id)\"> Thank</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:022.93\" id=\"23.0\" class=\"lt\" onclick=\"jumptoTime(22, this.id)\"> you</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:023.01\" id=\"23.0\" class=\"lt\" onclick=\"jumptoTime(23, this.id)\"> for</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:023.11\" id=\"23.2\" class=\"lt\" onclick=\"jumptoTime(23, this.id)\"> that</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:023.33\" id=\"23.4\" class=\"lt\" onclick=\"jumptoTime(23, this.id)\"> information,</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:023.99\" id=\"24.0\" class=\"lt\" onclick=\"jumptoTime(23, this.id)\"> Randall.</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:024.39\" id=\"24.4\" class=\"lt\" onclick=\"jumptoTime(24, this.id)\"> May</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:024.49\" id=\"24.4\" class=\"lt\" onclick=\"jumptoTime(24, this.id)\"> have</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:024.75\" id=\"24.8\" class=\"lt\" onclick=\"jumptoTime(24, this.id)\"> your</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:024.91\" id=\"25.0\" class=\"lt\" onclick=\"jumptoTime(24, this.id)\"> home</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:025.17\" id=\"25.2\" class=\"lt\" onclick=\"jumptoTime(25, this.id)\"> or</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:025.31\" id=\"25.4\" class=\"lt\" onclick=\"jumptoTime(25, this.id)\"> office</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:025.73\" id=\"25.8\" class=\"lt\" onclick=\"jumptoTime(25, this.id)\"> number</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:026.05\" id=\"26.0\" class=\"lt\" onclick=\"jumptoTime(26, this.id)\"> area</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:026.33\" id=\"26.4\" class=\"lt\" onclick=\"jumptoTime(26, this.id)\"> code</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:026.71\" id=\"26.8\" class=\"lt\" onclick=\"jumptoTime(26, this.id)\"> first.</a><!--\n",
            "\t\t\t\t--></p>\n",
            "</div>\n",
            "<div class=\"e\" style=\"background-color: #e1ffc7\">\n",
            "<p  style=\"margin:0;padding: 5px 10px 10px 10px;word-wrap:normal;white-space:normal;\">\n",
            "<span style=\"color:darkgreen;font-weight: bold;\">Customer</span><br>\n",
            "\t\t\t\t<a href=\"#00:00:027.25\" id=\"27.2\" class=\"lt\" onclick=\"jumptoTime(27, this.id)\"> Aircode</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:027.91\" id=\"28.0\" class=\"lt\" onclick=\"jumptoTime(27, this.id)\"> 409,</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:029.33\" id=\"29.4\" class=\"lt\" onclick=\"jumptoTime(29, this.id)\"> then</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:029.73\" id=\"29.8\" class=\"lt\" onclick=\"jumptoTime(29, this.id)\"> 5</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:030.05\" id=\"30.0\" class=\"lt\" onclick=\"jumptoTime(30, this.id)\">-866</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:031.59\" id=\"31.6\" class=\"lt\" onclick=\"jumptoTime(31, this.id)\">-5088.</a><!--\n",
            "\t\t\t\t--></p>\n",
            "</div>\n",
            "<div class=\"e\" style=\"background-color: white\">\n",
            "<p  style=\"margin:0;padding: 5px 10px 10px 10px;word-wrap:normal;white-space:normal;\">\n",
            "<span style=\"color:darkorange;font-weight: bold;\">Call Center</span><br>\n",
            "\t\t\t\t<a href=\"#00:00:035.23\" id=\"35.2\" class=\"lt\" onclick=\"jumptoTime(35, this.id)\"> That's</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:035.87\" id=\"35.8\" class=\"lt\" onclick=\"jumptoTime(35, this.id)\"> 409</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:035.71\" id=\"35.8\" class=\"lt\" onclick=\"jumptoTime(35, this.id)\">-866</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:036.51\" id=\"36.6\" class=\"lt\" onclick=\"jumptoTime(36, this.id)\">-5088.</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:038.37\" id=\"38.4\" class=\"lt\" onclick=\"jumptoTime(38, this.id)\"> Do</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:038.45\" id=\"38.4\" class=\"lt\" onclick=\"jumptoTime(38, this.id)\"> you</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:038.53\" id=\"38.6\" class=\"lt\" onclick=\"jumptoTime(38, this.id)\"> have</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:038.69\" id=\"38.6\" class=\"lt\" onclick=\"jumptoTime(38, this.id)\"> a</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:038.83\" id=\"38.8\" class=\"lt\" onclick=\"jumptoTime(38, this.id)\"> fax</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:039.17\" id=\"39.2\" class=\"lt\" onclick=\"jumptoTime(39, this.id)\"> number</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:039.49\" id=\"39.4\" class=\"lt\" onclick=\"jumptoTime(39, this.id)\"> or</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:039.73\" id=\"39.8\" class=\"lt\" onclick=\"jumptoTime(39, this.id)\"> email</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:040.03\" id=\"40.0\" class=\"lt\" onclick=\"jumptoTime(40, this.id)\"> address?</a><!--\n",
            "\t\t\t\t--></p>\n",
            "</div>\n",
            "<div class=\"e\" style=\"background-color: #e1ffc7\">\n",
            "<p  style=\"margin:0;padding: 5px 10px 10px 10px;word-wrap:normal;white-space:normal;\">\n",
            "<span style=\"color:darkgreen;font-weight: bold;\">Customer</span><br>\n",
            "\t\t\t\t<a href=\"#00:00:041.14\" id=\"41.2\" class=\"lt\" onclick=\"jumptoTime(41, this.id)\"> My</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:041.34\" id=\"41.4\" class=\"lt\" onclick=\"jumptoTime(41, this.id)\"> email</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:041.62\" id=\"41.6\" class=\"lt\" onclick=\"jumptoTime(41, this.id)\"> is</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:041.94\" id=\"42.0\" class=\"lt\" onclick=\"jumptoTime(41, this.id)\"> randall</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:042.56\" id=\"42.6\" class=\"lt\" onclick=\"jumptoTime(42, this.id)\">.thomas</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:044.00\" id=\"44.0\" class=\"lt\" onclick=\"jumptoTime(44, this.id)\"> at</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:044.96\" id=\"45.0\" class=\"lt\" onclick=\"jumptoTime(44, this.id)\"> gmail</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:045.50\" id=\"45.6\" class=\"lt\" onclick=\"jumptoTime(45, this.id)\">.com</a><!--\n",
            "\t\t\t\t--></p>\n",
            "</div>\n",
            "<div class=\"e\" style=\"background-color: white\">\n",
            "<p  style=\"margin:0;padding: 5px 10px 10px 10px;word-wrap:normal;white-space:normal;\">\n",
            "<span style=\"color:darkorange;font-weight: bold;\">Call Center</span><br>\n",
            "\t\t\t\t<a href=\"#00:00:047.41\" id=\"47.4\" class=\"lt\" onclick=\"jumptoTime(47, this.id)\"> Randall</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:048.13\" id=\"48.2\" class=\"lt\" onclick=\"jumptoTime(48, this.id)\">.Thomas</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:048.53\" id=\"48.6\" class=\"lt\" onclick=\"jumptoTime(48, this.id)\"> at</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:048.85\" id=\"48.8\" class=\"lt\" onclick=\"jumptoTime(48, this.id)\"> gmail</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:049.30\" id=\"49.2\" class=\"lt\" onclick=\"jumptoTime(49, this.id)\">.com</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:050.05\" id=\"50.0\" class=\"lt\" onclick=\"jumptoTime(50, this.id)\"> may</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:050.27\" id=\"50.2\" class=\"lt\" onclick=\"jumptoTime(50, this.id)\"> have</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:050.53\" id=\"50.6\" class=\"lt\" onclick=\"jumptoTime(50, this.id)\"> your</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:050.70\" id=\"50.6\" class=\"lt\" onclick=\"jumptoTime(50, this.id)\"> shipping</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:051.03\" id=\"51.0\" class=\"lt\" onclick=\"jumptoTime(51, this.id)\"> address</a><!--\n",
            "\t\t\t\t--></p>\n",
            "</div>\n",
            "<div class=\"e\" style=\"background-color: #e1ffc7\">\n",
            "<p  style=\"margin:0;padding: 5px 10px 10px 10px;word-wrap:normal;white-space:normal;\">\n",
            "<span style=\"color:darkgreen;font-weight: bold;\">Customer</span><br>\n",
            "\t\t\t\t<a href=\"#00:00:051.92\" id=\"52.0\" class=\"lt\" onclick=\"jumptoTime(51, this.id)\"> 6800</a><!--\n",
            "\t\t\t\t--></p>\n",
            "</div>\n",
            "<div class=\"e\" style=\"background-color: white\">\n",
            "<p  style=\"margin:0;padding: 5px 10px 10px 10px;word-wrap:normal;white-space:normal;\">\n",
            "<span style=\"color:darkorange;font-weight: bold;\">Call Center</span><br>\n",
            "\t\t\t\t<a href=\"#00:00:053.24\" id=\"53.2\" class=\"lt\" onclick=\"jumptoTime(53, this.id)\"> Okay.</a><!--\n",
            "\t\t\t\t--></p>\n",
            "</div>\n",
            "<div class=\"e\" style=\"background-color: #e1ffc7\">\n",
            "<p  style=\"margin:0;padding: 5px 10px 10px 10px;word-wrap:normal;white-space:normal;\">\n",
            "<span style=\"color:darkgreen;font-weight: bold;\">Customer</span><br>\n",
            "\t\t\t\t<a href=\"#00:00:054.32\" id=\"54.4\" class=\"lt\" onclick=\"jumptoTime(54, this.id)\"> Badass</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:054.76\" id=\"54.8\" class=\"lt\" onclick=\"jumptoTime(54, this.id)\"> Avenue,</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:056.20\" id=\"56.2\" class=\"lt\" onclick=\"jumptoTime(56, this.id)\"> Beaumont,</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:057.00\" id=\"57.0\" class=\"lt\" onclick=\"jumptoTime(57, this.id)\"> Texas.</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:058.20\" id=\"58.2\" class=\"lt\" onclick=\"jumptoTime(58, this.id)\"> Zip</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:058.42\" id=\"58.4\" class=\"lt\" onclick=\"jumptoTime(58, this.id)\"> code</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:058.68\" id=\"58.6\" class=\"lt\" onclick=\"jumptoTime(58, this.id)\"> is</a><!--\n",
            "\t\t\t\t--><a href=\"#00:00:058.94\" id=\"59.0\" class=\"lt\" onclick=\"jumptoTime(58, this.id)\"> 77706.</a><!--\n",
            "\t\t\t\t--></p>\n",
            "</div>\n",
            "<div class=\"e\" style=\"background-color: white\">\n",
            "<p  style=\"margin:0;padding: 5px 10px 10px 10px;word-wrap:normal;white-space:normal;\">\n",
            "<span style=\"color:darkorange;font-weight: bold;\">Call Center</span><br>\n",
            "\t\t\t\t<a href=\"#00:01:001.51\" id=\"61.6\" class=\"lt\" onclick=\"jumptoTime(61, this.id)\"> Gladys</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:002.05\" id=\"62.0\" class=\"lt\" onclick=\"jumptoTime(62, this.id)\"> Avenue,</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:002.67\" id=\"62.6\" class=\"lt\" onclick=\"jumptoTime(62, this.id)\"> Beaumont,</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:003.35\" id=\"63.4\" class=\"lt\" onclick=\"jumptoTime(63, this.id)\"> Texas,</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:003.99\" id=\"64.0\" class=\"lt\" onclick=\"jumptoTime(63, this.id)\"> zip</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:004.19\" id=\"64.2\" class=\"lt\" onclick=\"jumptoTime(64, this.id)\"> code</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:004.47\" id=\"64.4\" class=\"lt\" onclick=\"jumptoTime(64, this.id)\"> 77706.</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:006.75\" id=\"66.8\" class=\"lt\" onclick=\"jumptoTime(66, this.id)\"> Thank</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:007.05\" id=\"67.0\" class=\"lt\" onclick=\"jumptoTime(67, this.id)\"> you</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:007.17\" id=\"67.2\" class=\"lt\" onclick=\"jumptoTime(67, this.id)\"> for</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:007.27\" id=\"67.2\" class=\"lt\" onclick=\"jumptoTime(67, this.id)\"> the</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:007.41\" id=\"67.4\" class=\"lt\" onclick=\"jumptoTime(67, this.id)\"> information.</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:008.47\" id=\"68.4\" class=\"lt\" onclick=\"jumptoTime(68, this.id)\"> What</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:008.61\" id=\"68.6\" class=\"lt\" onclick=\"jumptoTime(68, this.id)\"> products</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:009.03\" id=\"69.0\" class=\"lt\" onclick=\"jumptoTime(69, this.id)\"> were</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:009.17\" id=\"69.2\" class=\"lt\" onclick=\"jumptoTime(69, this.id)\"> you</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:009.27\" id=\"69.2\" class=\"lt\" onclick=\"jumptoTime(69, this.id)\"> interested</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:009.65\" id=\"69.6\" class=\"lt\" onclick=\"jumptoTime(69, this.id)\"> in</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:009.93\" id=\"70.0\" class=\"lt\" onclick=\"jumptoTime(69, this.id)\"> purchasing?</a><!--\n",
            "\t\t\t\t--></p>\n",
            "</div>\n",
            "<div class=\"e\" style=\"background-color: #e1ffc7\">\n",
            "<p  style=\"margin:0;padding: 5px 10px 10px 10px;word-wrap:normal;white-space:normal;\">\n",
            "<span style=\"color:darkgreen;font-weight: bold;\">Customer</span><br>\n",
            "\t\t\t\t<a href=\"#00:01:011.16\" id=\"71.2\" class=\"lt\" onclick=\"jumptoTime(71, this.id)\"> Red</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:011.42\" id=\"71.4\" class=\"lt\" onclick=\"jumptoTime(71, this.id)\"> roses,</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:012.10\" id=\"72.2\" class=\"lt\" onclick=\"jumptoTime(72, this.id)\"> probably</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:012.42\" id=\"72.4\" class=\"lt\" onclick=\"jumptoTime(72, this.id)\"> a</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:012.58\" id=\"72.6\" class=\"lt\" onclick=\"jumptoTime(72, this.id)\"> dozen.</a><!--\n",
            "\t\t\t\t--></p>\n",
            "</div>\n",
            "<div class=\"e\" style=\"background-color: white\">\n",
            "<p  style=\"margin:0;padding: 5px 10px 10px 10px;word-wrap:normal;white-space:normal;\">\n",
            "<span style=\"color:darkorange;font-weight: bold;\">Call Center</span><br>\n",
            "\t\t\t\t<a href=\"#00:01:013.96\" id=\"74.0\" class=\"lt\" onclick=\"jumptoTime(73, this.id)\"> One</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:014.20\" id=\"74.2\" class=\"lt\" onclick=\"jumptoTime(74, this.id)\"> dozen</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:014.52\" id=\"74.6\" class=\"lt\" onclick=\"jumptoTime(74, this.id)\"> of</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:014.72\" id=\"74.8\" class=\"lt\" onclick=\"jumptoTime(74, this.id)\"> red</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:014.90\" id=\"75.0\" class=\"lt\" onclick=\"jumptoTime(74, this.id)\"> roses,</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:015.46\" id=\"75.4\" class=\"lt\" onclick=\"jumptoTime(75, this.id)\"> do</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:015.52\" id=\"75.6\" class=\"lt\" onclick=\"jumptoTime(75, this.id)\"> you</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:015.64\" id=\"75.6\" class=\"lt\" onclick=\"jumptoTime(75, this.id)\"> want</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:015.84\" id=\"75.8\" class=\"lt\" onclick=\"jumptoTime(75, this.id)\"> long</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:016.14\" id=\"76.2\" class=\"lt\" onclick=\"jumptoTime(76, this.id)\"> stems?</a><!--\n",
            "\t\t\t\t--></p>\n",
            "</div>\n",
            "<div class=\"e\" style=\"background-color: #e1ffc7\">\n",
            "<p  style=\"margin:0;padding: 5px 10px 10px 10px;word-wrap:normal;white-space:normal;\">\n",
            "<span style=\"color:darkgreen;font-weight: bold;\">Customer</span><br>\n",
            "\t\t\t\t<a href=\"#00:01:016.68\" id=\"76.6\" class=\"lt\" onclick=\"jumptoTime(76, this.id)\"> Sure.</a><!--\n",
            "\t\t\t\t--></p>\n",
            "</div>\n",
            "<div class=\"e\" style=\"background-color: white\">\n",
            "<p  style=\"margin:0;padding: 5px 10px 10px 10px;word-wrap:normal;white-space:normal;\">\n",
            "<span style=\"color:darkorange;font-weight: bold;\">Call Center</span><br>\n",
            "\t\t\t\t<a href=\"#00:01:017.67\" id=\"77.6\" class=\"lt\" onclick=\"jumptoTime(77, this.id)\"> Alright,</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:018.33\" id=\"78.4\" class=\"lt\" onclick=\"jumptoTime(78, this.id)\"> Rano,</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:018.94\" id=\"79.0\" class=\"lt\" onclick=\"jumptoTime(78, this.id)\"> let</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:019.16\" id=\"79.2\" class=\"lt\" onclick=\"jumptoTime(79, this.id)\"> me</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:019.25\" id=\"79.2\" class=\"lt\" onclick=\"jumptoTime(79, this.id)\"> process</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:019.61\" id=\"79.6\" class=\"lt\" onclick=\"jumptoTime(79, this.id)\"> the</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:019.80\" id=\"79.8\" class=\"lt\" onclick=\"jumptoTime(79, this.id)\"> order.</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:020.16\" id=\"80.2\" class=\"lt\" onclick=\"jumptoTime(80, this.id)\"> One</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:020.31\" id=\"80.4\" class=\"lt\" onclick=\"jumptoTime(80, this.id)\"> moment,</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:020.75\" id=\"80.8\" class=\"lt\" onclick=\"jumptoTime(80, this.id)\"> please.</a><!--\n",
            "\t\t\t\t--></p>\n",
            "</div>\n",
            "<div class=\"e\" style=\"background-color: #e1ffc7\">\n",
            "<p  style=\"margin:0;padding: 5px 10px 10px 10px;word-wrap:normal;white-space:normal;\">\n",
            "<span style=\"color:darkgreen;font-weight: bold;\">Customer</span><br>\n",
            "\t\t\t\t<a href=\"#00:01:022.47\" id=\"82.4\" class=\"lt\" onclick=\"jumptoTime(82, this.id)\"> Okay.</a><!--\n",
            "\t\t\t\t--></p>\n",
            "</div>\n",
            "<div class=\"e\" style=\"background-color: white\">\n",
            "<p  style=\"margin:0;padding: 5px 10px 10px 10px;word-wrap:normal;white-space:normal;\">\n",
            "<span style=\"color:darkorange;font-weight: bold;\">Call Center</span><br>\n",
            "\t\t\t\t<a href=\"#00:01:025.10\" id=\"85.2\" class=\"lt\" onclick=\"jumptoTime(85, this.id)\"> Randall,</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:025.62\" id=\"85.6\" class=\"lt\" onclick=\"jumptoTime(85, this.id)\"> you</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:025.64\" id=\"85.6\" class=\"lt\" onclick=\"jumptoTime(85, this.id)\"> are</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:025.76\" id=\"85.8\" class=\"lt\" onclick=\"jumptoTime(85, this.id)\"> ordering</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:026.14\" id=\"86.2\" class=\"lt\" onclick=\"jumptoTime(86, this.id)\"> one</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:026.46\" id=\"86.4\" class=\"lt\" onclick=\"jumptoTime(86, this.id)\"> dozen</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:026.88\" id=\"86.8\" class=\"lt\" onclick=\"jumptoTime(86, this.id)\"> long</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:027.26\" id=\"87.2\" class=\"lt\" onclick=\"jumptoTime(87, this.id)\">-stand</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:027.60\" id=\"87.6\" class=\"lt\" onclick=\"jumptoTime(87, this.id)\"> red</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:027.96\" id=\"88.0\" class=\"lt\" onclick=\"jumptoTime(87, this.id)\"> roses.</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:028.62\" id=\"88.6\" class=\"lt\" onclick=\"jumptoTime(88, this.id)\"> The</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:028.70\" id=\"88.8\" class=\"lt\" onclick=\"jumptoTime(88, this.id)\"> total</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:028.94\" id=\"89.0\" class=\"lt\" onclick=\"jumptoTime(88, this.id)\"> amount</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:029.18\" id=\"89.2\" class=\"lt\" onclick=\"jumptoTime(89, this.id)\"> of</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:029.30\" id=\"89.2\" class=\"lt\" onclick=\"jumptoTime(89, this.id)\"> your</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:029.42\" id=\"89.4\" class=\"lt\" onclick=\"jumptoTime(89, this.id)\"> order</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:029.66\" id=\"89.6\" class=\"lt\" onclick=\"jumptoTime(89, this.id)\"> is</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:029.82\" id=\"89.8\" class=\"lt\" onclick=\"jumptoTime(89, this.id)\"> $40,</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:030.78\" id=\"90.8\" class=\"lt\" onclick=\"jumptoTime(90, this.id)\"> and</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:031.14\" id=\"91.2\" class=\"lt\" onclick=\"jumptoTime(91, this.id)\"> it</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:031.28\" id=\"91.2\" class=\"lt\" onclick=\"jumptoTime(91, this.id)\"> will</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:031.40\" id=\"91.4\" class=\"lt\" onclick=\"jumptoTime(91, this.id)\"> be</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:031.58\" id=\"91.6\" class=\"lt\" onclick=\"jumptoTime(91, this.id)\"> shipped</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:031.86\" id=\"91.8\" class=\"lt\" onclick=\"jumptoTime(91, this.id)\"> to</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:032.10\" id=\"92.0\" class=\"lt\" onclick=\"jumptoTime(92, this.id)\"> your</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:032.26\" id=\"92.2\" class=\"lt\" onclick=\"jumptoTime(92, this.id)\"> address</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:032.58\" id=\"92.6\" class=\"lt\" onclick=\"jumptoTime(92, this.id)\"> within</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:032.86\" id=\"92.8\" class=\"lt\" onclick=\"jumptoTime(92, this.id)\"> 24</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:033.28\" id=\"93.2\" class=\"lt\" onclick=\"jumptoTime(93, this.id)\"> hours.</a><!--\n",
            "\t\t\t\t--></p>\n",
            "</div>\n",
            "<div class=\"e\" style=\"background-color: #e1ffc7\">\n",
            "<p  style=\"margin:0;padding: 5px 10px 10px 10px;word-wrap:normal;white-space:normal;\">\n",
            "<span style=\"color:darkgreen;font-weight: bold;\">Customer</span><br>\n",
            "\t\t\t\t<a href=\"#00:01:034.26\" id=\"94.2\" class=\"lt\" onclick=\"jumptoTime(94, this.id)\"> I</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:034.48\" id=\"94.4\" class=\"lt\" onclick=\"jumptoTime(94, this.id)\"> was</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:034.58\" id=\"94.6\" class=\"lt\" onclick=\"jumptoTime(94, this.id)\"> thinking</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:034.84\" id=\"94.8\" class=\"lt\" onclick=\"jumptoTime(94, this.id)\"> of</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:035.00\" id=\"95.0\" class=\"lt\" onclick=\"jumptoTime(95, this.id)\"> delivering</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:035.30\" id=\"95.4\" class=\"lt\" onclick=\"jumptoTime(95, this.id)\"> my</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:035.52\" id=\"95.6\" class=\"lt\" onclick=\"jumptoTime(95, this.id)\"> roses</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:035.84\" id=\"95.8\" class=\"lt\" onclick=\"jumptoTime(95, this.id)\"> again.</a><!--\n",
            "\t\t\t\t--></p>\n",
            "</div>\n",
            "<div class=\"e\" style=\"background-color: white\">\n",
            "<p  style=\"margin:0;padding: 5px 10px 10px 10px;word-wrap:normal;white-space:normal;\">\n",
            "<span style=\"color:darkorange;font-weight: bold;\">Call Center</span><br>\n",
            "\t\t\t\t<a href=\"#00:01:036.88\" id=\"96.8\" class=\"lt\" onclick=\"jumptoTime(96, this.id)\"> within</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:037.14\" id=\"97.2\" class=\"lt\" onclick=\"jumptoTime(97, this.id)\"> 24</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:037.60\" id=\"97.6\" class=\"lt\" onclick=\"jumptoTime(97, this.id)\"> hours.</a><!--\n",
            "\t\t\t\t--></p>\n",
            "</div>\n",
            "<div class=\"e\" style=\"background-color: #e1ffc7\">\n",
            "<p  style=\"margin:0;padding: 5px 10px 10px 10px;word-wrap:normal;white-space:normal;\">\n",
            "<span style=\"color:darkgreen;font-weight: bold;\">Customer</span><br>\n",
            "\t\t\t\t<a href=\"#00:01:038.78\" id=\"98.8\" class=\"lt\" onclick=\"jumptoTime(98, this.id)\"> Okay,</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:039.14\" id=\"99.2\" class=\"lt\" onclick=\"jumptoTime(99, this.id)\"> no</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:039.22\" id=\"99.2\" class=\"lt\" onclick=\"jumptoTime(99, this.id)\"> problem.</a><!--\n",
            "\t\t\t\t--></p>\n",
            "</div>\n",
            "<div class=\"e\" style=\"background-color: white\">\n",
            "<p  style=\"margin:0;padding: 5px 10px 10px 10px;word-wrap:normal;white-space:normal;\">\n",
            "<span style=\"color:darkorange;font-weight: bold;\">Call Center</span><br>\n",
            "\t\t\t\t<a href=\"#00:01:040.20\" id=\"100.2\" class=\"lt\" onclick=\"jumptoTime(100, this.id)\"> Is</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:040.36\" id=\"100.4\" class=\"lt\" onclick=\"jumptoTime(100, this.id)\"> there</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:040.46\" id=\"100.4\" class=\"lt\" onclick=\"jumptoTime(100, this.id)\"> anything</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:040.74\" id=\"100.8\" class=\"lt\" onclick=\"jumptoTime(100, this.id)\"> else</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:041.04\" id=\"101.0\" class=\"lt\" onclick=\"jumptoTime(101, this.id)\"> I</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:041.14\" id=\"101.2\" class=\"lt\" onclick=\"jumptoTime(101, this.id)\"> can</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:041.28\" id=\"101.2\" class=\"lt\" onclick=\"jumptoTime(101, this.id)\"> help</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:041.50\" id=\"101.6\" class=\"lt\" onclick=\"jumptoTime(101, this.id)\"> you</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:041.60\" id=\"101.6\" class=\"lt\" onclick=\"jumptoTime(101, this.id)\"> with?</a><!--\n",
            "\t\t\t\t--></p>\n",
            "</div>\n",
            "<div class=\"e\" style=\"background-color: #e1ffc7\">\n",
            "<p  style=\"margin:0;padding: 5px 10px 10px 10px;word-wrap:normal;white-space:normal;\">\n",
            "<span style=\"color:darkgreen;font-weight: bold;\">Customer</span><br>\n",
            "\t\t\t\t<a href=\"#00:01:042.70\" id=\"102.8\" class=\"lt\" onclick=\"jumptoTime(102, this.id)\"> That's</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:042.98\" id=\"103.0\" class=\"lt\" onclick=\"jumptoTime(102, this.id)\"> all</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:043.12\" id=\"103.2\" class=\"lt\" onclick=\"jumptoTime(103, this.id)\"> for</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:043.24\" id=\"103.2\" class=\"lt\" onclick=\"jumptoTime(103, this.id)\"> now,</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:043.56\" id=\"103.6\" class=\"lt\" onclick=\"jumptoTime(103, this.id)\"> thanks.</a><!--\n",
            "\t\t\t\t--></p>\n",
            "</div>\n",
            "<div class=\"e\" style=\"background-color: white\">\n",
            "<p  style=\"margin:0;padding: 5px 10px 10px 10px;word-wrap:normal;white-space:normal;\">\n",
            "<span style=\"color:darkorange;font-weight: bold;\">Call Center</span><br>\n",
            "\t\t\t\t<a href=\"#00:01:044.32\" id=\"104.4\" class=\"lt\" onclick=\"jumptoTime(104, this.id)\"> No</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:044.54\" id=\"104.6\" class=\"lt\" onclick=\"jumptoTime(104, this.id)\"> problem,</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:045.02\" id=\"105.0\" class=\"lt\" onclick=\"jumptoTime(105, this.id)\"> Randall.</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:045.42\" id=\"105.4\" class=\"lt\" onclick=\"jumptoTime(105, this.id)\"> Thank</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:045.58\" id=\"105.6\" class=\"lt\" onclick=\"jumptoTime(105, this.id)\"> you</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:045.68\" id=\"105.6\" class=\"lt\" onclick=\"jumptoTime(105, this.id)\"> for</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:045.80\" id=\"105.8\" class=\"lt\" onclick=\"jumptoTime(105, this.id)\"> calling</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:046.06\" id=\"106.0\" class=\"lt\" onclick=\"jumptoTime(106, this.id)\"> Martha's</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:046.58\" id=\"106.6\" class=\"lt\" onclick=\"jumptoTime(106, this.id)\"> Flourish.</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:046.98\" id=\"107.0\" class=\"lt\" onclick=\"jumptoTime(106, this.id)\"> Have</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:047.16\" id=\"107.2\" class=\"lt\" onclick=\"jumptoTime(107, this.id)\"> a</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:047.26\" id=\"107.2\" class=\"lt\" onclick=\"jumptoTime(107, this.id)\"> nice</a><!--\n",
            "\t\t\t\t--><a href=\"#00:01:047.44\" id=\"107.4\" class=\"lt\" onclick=\"jumptoTime(107, this.id)\"> day.</a><!--\n",
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            "</div>\n",
            "\t</body>\n",
            "</html>\n",
            "\n"
          ]
        }
      ],
      "source": [
        "#import webvtt\n",
        "import json\n",
        "from datetime import timedelta\n",
        "\n",
        "def timeStr(t):\n",
        "  return '{0:02d}:{1:02d}:{2:06.2f}'.format(round(t // 3600), \n",
        "                                                round(t % 3600 // 60), \n",
        "                                                t % 60)\n",
        "\n",
        "html = list(preS)\n",
        "txt = list(\"\")\n",
        "gidx = -1\n",
        "for g in groups:  \n",
        "  shift = re.findall('[0-9]+:[0-9]+:[0-9]+\\.[0-9]+', string=g[0])[0]\n",
        "  shift = millisec(shift) - spacermilli #the start time in the original video\n",
        "  shift=max(shift, 0)\n",
        "  \n",
        "  gidx += 1\n",
        "  \n",
        "  captions = json.load(open(str(gidx) + '.json'))['segments']\n",
        "\n",
        "  if captions:\n",
        "    speaker = g[0].split()[-1]\n",
        "    boxclr = def_boxclr\n",
        "    spkrclr = def_spkrclr\n",
        "    if speaker in speakers:\n",
        "      speaker, boxclr, spkrclr = speakers[speaker] \n",
        "    \n",
        "    html.append(f'<div class=\"e\" style=\"background-color: {boxclr}\">\\n');\n",
        "    html.append('<p  style=\"margin:0;padding: 5px 10px 10px 10px;word-wrap:normal;white-space:normal;\">\\n')\n",
        "    html.append(f'<span style=\"color:{spkrclr};font-weight: bold;\">{speaker}</span><br>\\n\\t\\t\\t\\t')\n",
        "      \n",
        "    for c in captions:\n",
        "      start = shift + c['start'] * 1000.0 \n",
        "      start = start / 1000.0   #time resolution ot youtube is Second.            \n",
        "      end = (shift + c['end'] * 1000.0) / 1000.0      \n",
        "      txt.append(f'[{timeStr(start)} --> {timeStr(end)}] [{speaker}] {c[\"text\"]}\\n')\n",
        "\n",
        "      for i, w in enumerate(c['words']):\n",
        "        if w == \"\":\n",
        "           continue\n",
        "        start = (shift + w['start']*1000.0) / 1000.0        \n",
        "        #end = (shift + w['end']) / 1000.0   #time resolution ot youtube is Second.  \n",
        "        html.append(f'<a href=\"#{timeStr(start)}\" id=\"{\"{:.1f}\".format(round(start*5)/5)}\" class=\"lt\" onclick=\"jumptoTime({int(start)}, this.id)\">{w[\"word\"]}</a><!--\\n\\t\\t\\t\\t-->')\n",
        "    #html.append('\\n')      \n",
        "    html.append('</p>\\n')\n",
        "    html.append(f'</div>\\n')\n",
        "\n",
        "html.append(postS)\n",
        "\n",
        "\n",
        "with open(f\"capspeaker.txt\", \"w\", encoding='utf-8') as file:\n",
        "  s = \"\".join(txt)\n",
        "  file.write(s)\n",
        "  print('captions saved to capspeaker.txt:')\n",
        "  print(s+'\\n')\n",
        "\n",
        "with open(f\"capspeaker.html\", \"w\", encoding='utf-8') as file:    #TODO: proper html embed tag when video/audio from file\n",
        "  s = \"\".join(html)\n",
        "  file.write(s)\n",
        "  print('captions saved to capspeaker.html:')\n",
        "  print(s+'\\n')"
      ]
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