Youtube_Video_Transcriptor_.ipynb

{
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      "cell_type": "markdown",
      "id": "b5d9c80d",
      "metadata": {
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      },
      "source": [
        "## <p style=\"text-align:center\" color=\"red\"><span style=\"color:red\">Youtube Video Transcriptor</span></p>\n",
        "\n",
        "\n",
        "\n",
        "<table align=\"center\">\n",
        "  <td>\n",
        "    <a target=\"_blank\" href=\"https://colab.research.google.com/github/labrijisaad/Youtube-video-transcriptor\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
        "  </td>\n",
        "</table>\n",
        "\n",
        "- **`This script is meant to be run in google colaboratory!`**\n",
        "- This script can sometimes not detect text correctly, it's mainly due to noises or the way we speak in the video (speaking too fast or too slow)\n",
        "- The general idea summary model is a community model available at [Huggingface](https://huggingface.co/) , it can sometimes get the general idea wrong, especially if there is a lack of data.\n",
        "\n",
        "\n",
        "> 🙌 Notebook made by [@labriji_saad](https://github.com/labrijisaad)"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "7641e4ac",
      "metadata": {
        "id": "7641e4ac"
      },
      "source": [
        "### Installing the requirements"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "id": "fcf14904",
      "metadata": {
        "id": "fcf14904"
      },
      "outputs": [],
      "source": [
        "%%capture \n",
        "\n",
        "!pip install --upgrade yt_dlp\n",
        "!pip install pydub SpeechRecognition ffmpeg ffprobe googletrans==3.1.0a0 transformers"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "id": "e9dd935c",
      "metadata": {
        "id": "e9dd935c"
      },
      "outputs": [],
      "source": [
        "import yt_dlp\n",
        "import time\n",
        "import re\n",
        "import os\n",
        "from pydub import AudioSegment\n",
        "import speech_recognition as sr\n",
        "import math\n",
        "from tqdm import tqdm\n",
        "from googletrans import Translator"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "6eb09a2b",
      "metadata": {
        "id": "6eb09a2b"
      },
      "source": [
        "### Downloading the audio (`url = video_link`)\n",
        "> - Specify here the link of the video you want to transcribe."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "id": "18ccbef7",
      "metadata": {
        "id": "18ccbef7"
      },
      "outputs": [],
      "source": [
        "url = \"https://www.youtube.com/watch?v=QGpmnA2JJ4U&ab_channel=VOALearningEnglish\""
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "id": "d5f80175",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "d5f80175",
        "outputId": "5641d362-a07f-4a10-8ae8-40edfb62e3dc"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[youtube] QGpmnA2JJ4U: Downloading webpage\n",
            "[youtube] QGpmnA2JJ4U: Downloading android player API JSON\n",
            "[youtube] QGpmnA2JJ4U: Downloading webpage\n",
            "[youtube] QGpmnA2JJ4U: Downloading android player API JSON\n",
            "[info] QGpmnA2JJ4U: Downloading 1 format(s): 140\n",
            "[download] Destination: ./Donald Trump Victory Speech.wav\n",
            "[download] 100% of 4.70MiB in 00:00                   \n",
            "[FixupM4a] Correcting container of \"./Donald Trump Victory Speech.wav\"\n",
            "[ExtractAudio] Destination: ./Donald Trump Victory Speech.wav\n",
            "Deleting original file ./Donald Trump Victory Speech.orig.wav (pass -k to keep)\n"
          ]
        }
      ],
      "source": [
        "ydl_opts={}\n",
        "\n",
        "with yt_dlp.YoutubeDL(ydl_opts) as ydl:\n",
        "        info_dict = ydl.extract_info(url, download=False)\n",
        "video_title = info_dict['title']\n",
        "video_name = re.sub('[\\\\\\\\/*?:\"<>|]', '', video_title)\n",
        "name = video_name\n",
        "ydl_opts = {\n",
        "     'format': 'm4a/bestaudio/best',\n",
        "         'noplaylist': True,\n",
        "         'continue_dl': True,\n",
        "         'outtmpl': f'./{name}.wav',\n",
        "         'postprocessors': [{\n",
        "             'key': 'FFmpegExtractAudio',\n",
        "             'preferredcodec': 'wav',\n",
        "             'preferredquality': '192',\n",
        "         }],\n",
        "         'geobypass':True,\n",
        "         'ffmpeg_location':'/usr/bin/ffmpeg'\n",
        " }\n",
        "\n",
        "with yt_dlp.YoutubeDL(ydl_opts) as ydl:\n",
        "     error_code = ydl.download(url)"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "b147c9ba",
      "metadata": {
        "id": "b147c9ba"
      },
      "source": [
        "### Spliting the audio (`min_per_split = 1`)\n",
        "> - When it comes to using the free version of Google's transcriber (**`speech_recognition`**), there is a limit on the length of the video (or audio) that should not be exceeded (this limit is around 5 minutes ). To remedy this problem, the following script splits the video into one minute long intervals and puts the generated mini-videos in a directory that has a name in the form of **`split files for: Video_Name.wav`**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "id": "d48a25ae",
      "metadata": {
        "id": "d48a25ae"
      },
      "outputs": [],
      "source": [
        "class SplitWavAudioMubin():\n",
        "    def __init__(self, folder, filename):\n",
        "        self.folder = folder\n",
        "        self.filename = filename\n",
        "        self.filepath = folder + filename\n",
        "        self.audio = AudioSegment.from_wav(self.filepath)\n",
        "    \n",
        "    def get_duration(self):\n",
        "        return self.audio.duration_seconds\n",
        "    \n",
        "    def single_split(self, from_min, to_min, split_filename):\n",
        "        t1 = from_min * 60 * 1000\n",
        "        t2 = to_min * 60 * 1000\n",
        "        split_audio = self.audio[t1:t2]\n",
        "        split_audio.export(split_filename, format=\"wav\")\n",
        "        \n",
        "    def multiple_split(self, min_per_split):\n",
        "        total_mins = math.ceil(self.get_duration() / 60)\n",
        "        for i in range(0, total_mins, min_per_split):\n",
        "            split_fn = str(i) + '_' + self.filename\n",
        "            self.single_split(i, i+min_per_split, split_fn)\n",
        "            if i == total_mins - min_per_split:\n",
        "                print('All splited successfully')\n",
        "        print('>>> Video duration: ' + str(self.get_duration()))\n",
        "        \n",
        "def split_audio(file_name):\n",
        "    directory = \"splitted files for: \" + file_name\n",
        "    os.mkdir(directory)\n",
        "    os.chdir(directory)\n",
        "    split_wav = SplitWavAudioMubin(\"../\", file_name)\n",
        "    split_wav.multiple_split(min_per_split=1)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "id": "b98e9a78",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "b98e9a78",
        "outputId": "4624c5a7-806a-484d-ad43-fc402ac1d03a"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "All splited successfully\n",
            ">>> Video duration: 304.7386848072562\n"
          ]
        }
      ],
      "source": [
        "file_name = \"{}.wav\".format(video_name)\n",
        "split_audio(file_name)"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "e4a1ca8d",
      "metadata": {
        "id": "e4a1ca8d"
      },
      "source": [
        "### Recognizing the text (` language = \"en-US\"`) https://cloud.google.com/speech-to-text/docs/languages\n",
        "> - To perform text detection, we must first specify the language spoken in the video. To do this, we must search for the keyword equivalent to language in the language catalog available in the link on the title. ( In our case, it's **`English`** so the keyword is **`en-US`** )"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "id": "94b639b9",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "94b639b9",
        "outputId": "3a77e679-8b4b-482d-ef16-e14b30c3a65a"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['./0_Donald Trump Victory Speech.wav',\n",
              " './1_Donald Trump Victory Speech.wav',\n",
              " './2_Donald Trump Victory Speech.wav',\n",
              " './3_Donald Trump Victory Speech.wav',\n",
              " './4_Donald Trump Victory Speech.wav',\n",
              " './5_Donald Trump Victory Speech.wav']"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ],
      "source": [
        "search_dir = \"./\"\n",
        "files = filter(os.path.isfile, os.listdir(search_dir))\n",
        "files = [os.path.join(search_dir, f) for f in files] # add path to each file\n",
        "files.sort(key=lambda x: os.path.getmtime(x))\n",
        "files"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "id": "485b9aa0",
      "metadata": {
        "scrolled": true,
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "485b9aa0",
        "outputId": "2e062791-2f6d-40eb-d468-68edf02d6160"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "100%|██████████| 6/6 [00:22<00:00,  3.74s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        }
      ],
      "source": [
        "texts = []\n",
        "recognizer = sr.Recognizer()\n",
        "\n",
        "for file in tqdm(files):\n",
        "    with sr.AudioFile(file) as source:\n",
        "        recorded_audio = recognizer.listen(source)\n",
        "    try:\n",
        "        text = recognizer.recognize_google(\n",
        "                recorded_audio, \n",
        "                language=\"en-US\" ## Replace with language keyword\n",
        "            )\n",
        "        texts.append(text)\n",
        "    except Exception as ex:\n",
        "        print(ex)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "id": "0c61b8db",
      "metadata": {
        "scrolled": false,
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0c61b8db",
        "outputId": "aba1c188-6037-42f4-9ba9-2bd0ae4125f7"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[\"it is my high honor and distinct privilege to introduce to you the president-elect of the United States of America Donald Trump thank you very much everything I just received a call from secretary Clinton she congratulated us it's about us and I congratulated her and her family on a very very hard for campaign I mean she she fought very hard\",\n",
              " \"Hillary has worked very long and very hard over a long. Of time and we owe her a major debt of gratitude for her service to our country I mean that very soon soon now it's time for America to bind the wounds of division have to get together do all Republicans and Democrats and independents across this nation I say it is time for us to come together as one United people time I pledge that I will be president for all Americans and this is so important to me\",\n",
              " \"for those who have chosen not to support me in the past of which there were a few people I'm reaching out to you for your guidance and your help so that we can work together and unify our great country I've spent my entire life and business looking at the untapped potential in projects and then people all over the world\",\n",
              " \"we must reclaim our country's Destiny and dream big and bold and daring we have to do that we're going to dream of things for our country and beautiful things and successful things once again\",\n",
              " 'while the campaign is over']"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ],
      "source": [
        "texts"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "d0520c0b",
      "metadata": {
        "id": "d0520c0b"
      },
      "source": [
        "### Saving the recognized text\n",
        "> - After performing the speech detection, we save the resulting text in a file which is in the form of **`Transcription_Video_Name.txt`**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "id": "93bbf762",
      "metadata": {
        "id": "93bbf762"
      },
      "outputs": [],
      "source": [
        "result = \"\"\n",
        "for text in texts:\n",
        "    result += \" \" + text\n",
        "\n",
        "os.chdir(\"../\")\n",
        "text_file = open(\"Transcription_\"+ file_name[:-4] +\".txt\", \"w\")\n",
        "text_file.write(result)\n",
        "text_file.close()"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "8ffd76e2",
      "metadata": {
        "id": "8ffd76e2"
      },
      "source": [
        "### Translating the recognized text (`dest='fr'`)\n",
        "> - In addition, we have tried here to translate the text into French after transcription, using the Google API (**`googletrans`**)\n",
        "> - To correctly use this API, we must replace the dest variable with the output language keyword ( In our case, **`dest='fr'`**)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "id": "4941c385",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4941c385",
        "outputId": "90131d35-2606-4f54-f2f6-f341a8519772"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            " c'est pour moi un grand honneur et un privilège distinct de vous présenter le président élu des États-Unis d'Amérique Donald Trump merci beaucoup tout ce que je viens de recevoir un appel de la secrétaire Clinton elle nous a félicités c'est à propos de nous et je l'ai félicitée ainsi que sa famille sur une campagne très très dure, je veux dire qu'elle s'est battue très fort Hillary a travaillé très longtemps et très dur pendant longtemps. Du temps et nous lui devons une grande dette de gratitude pour son service envers notre pays, je veux dire que très bientôt, il est temps pour l'Amérique de panser les blessures de la division, il faut que tous les républicains, démocrates et indépendants de ce pays se réunissent, je dis il est temps pour nous de nous rassembler en un seul peuple uni, je promets que je serai président pour tous les Américains et c'est si important pour moi pour ceux qui ont choisi de ne pas me soutenir dans le passé dont il y avait quelques personnes je vous tends la main pour vos conseils et votre aide afin que nous puissions travailler ensemble et unifier notre grand pays j'ai passé toute ma vie et les entreprises qui examinent le potentiel inexploité des projets, puis les personnes du monde entier nous devons reconquérir le destin de notre pays et rêver grand et audacieux et audacieux nous devons faire que nous allons rêver de choses pour notre pays et de belles choses et de choses réussies une fois de plus alors que la campagne est terminée\n"
          ]
        }
      ],
      "source": [
        "translator = Translator()\n",
        "\n",
        "translate_text = \"\"\n",
        "for text in texts:\n",
        "    translate_text += \" \" + translator.translate(text, dest='fr').text\n",
        "print(translate_text)"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "da84013a",
      "metadata": {
        "id": "da84013a"
      },
      "source": [
        "### Saving the translated text\n",
        "> - We save the resulting translated text in a file which is in the form of **`Transcription_translated_Video_Name.txt`**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "id": "81ac63a6",
      "metadata": {
        "id": "81ac63a6"
      },
      "outputs": [],
      "source": [
        "text_file = open(\"Transcription_translated_\"+ file_name[:-4] +\".txt\", \"w\")\n",
        "text_file.write(translate_text)\n",
        "text_file.close()"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "7849eb8b",
      "metadata": {
        "id": "7849eb8b"
      },
      "source": [
        "### General Idea summarization\n",
        "> - Finally, we can use the text we have recovered to have a summary of the general idea discussed in the video\n",
        "> - Here it is necessary to specify the **`max_length`** and the **`min_length`**, by default we have chosen that the length of the general idea of a text must be at least 10% of the total length of the text."
      ]
    },
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      "source": [
        "from transformers import pipeline\n",
        "summarizer = pipeline(\"summarization\", model=\"facebook/bart-large-cnn\")"
      ]
    },
    {
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      "execution_count": 14,
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            "Donald Trump: It's time for America to bind the wounds of division have to get together do all Republicans and Democrats and independents across this nation. I pledge that I will be president for all Americans.\n"
          ]
        }
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        "ARTICLE = result\n",
        "summary_text = summarizer(ARTICLE, max_length=100, min_length=int(len(result.split(\" \"))/10), do_sample=False)[0][\"summary_text\"]\n",
        "print(summary_text)"
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    },
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        "> - 🙌 Notebook made by [@labriji_saad](https://github.com/labrijisaad)\n",
        "> - 🔗 Linledin [@labriji_saad](https://www.linkedin.com/in/labrijisaad/)"
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