VideoTranslation.ipynb

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          "name": "stdout",
          "text": [
            "Requirement already satisfied: torch in /usr/local/lib/python3.10/dist-packages (2.5.1+cu121)\n",
            "Collecting pyttsx3\n",
            "  Downloading pyttsx3-2.98-py3-none-any.whl.metadata (3.8 kB)\n",
            "Requirement already satisfied: transformers in /usr/local/lib/python3.10/dist-packages (4.46.2)\n",
            "Collecting openvino\n",
            "  Downloading openvino-2024.5.0-17288-cp310-cp310-manylinux2014_x86_64.whl.metadata (8.3 kB)\n",
            "Collecting youtube-dl\n",
            "  Downloading youtube_dl-2021.12.17-py2.py3-none-any.whl.metadata (1.5 kB)\n",
            "Collecting ffmpeg-python\n",
            "  Downloading ffmpeg_python-0.2.0-py3-none-any.whl.metadata (1.7 kB)\n",
            "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from torch) (3.16.1)\n",
            "Requirement already satisfied: typing-extensions>=4.8.0 in /usr/local/lib/python3.10/dist-packages (from torch) (4.12.2)\n",
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            "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch) (3.1.4)\n",
            "Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from torch) (2024.10.0)\n",
            "Requirement already satisfied: sympy==1.13.1 in /usr/local/lib/python3.10/dist-packages (from torch) (1.13.1)\n",
            "Requirement already satisfied: mpmath<1.4,>=1.1.0 in /usr/local/lib/python3.10/dist-packages (from sympy==1.13.1->torch) (1.3.0)\n",
            "Requirement already satisfied: huggingface-hub<1.0,>=0.23.2 in /usr/local/lib/python3.10/dist-packages (from transformers) (0.26.2)\n",
            "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from transformers) (1.26.4)\n",
            "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from transformers) (24.2)\n",
            "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from transformers) (6.0.2)\n",
            "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers) (2024.9.11)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from transformers) (2.32.3)\n",
            "Requirement already satisfied: safetensors>=0.4.1 in /usr/local/lib/python3.10/dist-packages (from transformers) (0.4.5)\n",
            "Requirement already satisfied: tokenizers<0.21,>=0.20 in /usr/local/lib/python3.10/dist-packages (from transformers) (0.20.3)\n",
            "Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.10/dist-packages (from transformers) (4.66.6)\n",
            "Collecting openvino-telemetry>=2023.2.1 (from openvino)\n",
            "  Downloading openvino_telemetry-2024.5.0-py3-none-any.whl.metadata (2.3 kB)\n",
            "Requirement already satisfied: future in /usr/local/lib/python3.10/dist-packages (from ffmpeg-python) (1.0.0)\n",
            "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch) (3.0.2)\n",
            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (3.4.0)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (3.10)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (2.2.3)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (2024.8.30)\n",
            "Downloading pyttsx3-2.98-py3-none-any.whl (34 kB)\n",
            "Downloading openvino-2024.5.0-17288-cp310-cp310-manylinux2014_x86_64.whl (44.6 MB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m44.6/44.6 MB\u001b[0m \u001b[31m12.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hDownloading youtube_dl-2021.12.17-py2.py3-none-any.whl (1.9 MB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.9/1.9 MB\u001b[0m \u001b[31m39.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hDownloading ffmpeg_python-0.2.0-py3-none-any.whl (25 kB)\n",
            "Downloading openvino_telemetry-2024.5.0-py3-none-any.whl (23 kB)\n",
            "Installing collected packages: youtube-dl, pyttsx3, openvino-telemetry, openvino, ffmpeg-python\n",
            "Successfully installed ffmpeg-python-0.2.0 openvino-2024.5.0 openvino-telemetry-2024.5.0 pyttsx3-2.98 youtube-dl-2021.12.17\n"
          ]
        }
      ],
      "source": [
        "!pip install torch  pyttsx3 transformers openvino youtube-dl ffmpeg-python"
      ]
    },
    {
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      "source": [
        "!pip install git+https://github.com/openai/whisper.git\n",
        "\n",
        "\n"
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      },
      "execution_count": 3,
      "outputs": [
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          "name": "stdout",
          "text": [
            "Collecting git+https://github.com/openai/whisper.git\n",
            "  Cloning https://github.com/openai/whisper.git to /tmp/pip-req-build-3yg9onzg\n",
            "  Running command git clone --filter=blob:none --quiet https://github.com/openai/whisper.git /tmp/pip-req-build-3yg9onzg\n",
            "  Resolved https://github.com/openai/whisper.git to commit 90db0de1896c23cbfaf0c58bc2d30665f709f170\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: numba in /usr/local/lib/python3.10/dist-packages (from openai-whisper==20240930) (0.60.0)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from openai-whisper==20240930) (1.26.4)\n",
            "Requirement already satisfied: torch in /usr/local/lib/python3.10/dist-packages (from openai-whisper==20240930) (2.5.1+cu121)\n",
            "Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from openai-whisper==20240930) (4.66.6)\n",
            "Requirement already satisfied: more-itertools in /usr/local/lib/python3.10/dist-packages (from openai-whisper==20240930) (10.5.0)\n",
            "Collecting tiktoken (from openai-whisper==20240930)\n",
            "  Downloading tiktoken-0.8.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (6.6 kB)\n",
            "Collecting triton>=2.0.0 (from openai-whisper==20240930)\n",
            "  Downloading triton-3.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.3 kB)\n",
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            "\u001b[?25hDownloading tiktoken-0.8.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.2 MB)\n",
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            "\u001b[?25hBuilding 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-20240930-py3-none-any.whl size=803583 sha256=d02558d6f03e244fe2f4de3a4394f71c682b85f34950c8e15f2031202abe767d\n",
            "  Stored in directory: /tmp/pip-ephem-wheel-cache-cq0s1unj/wheels/8b/6c/d0/622666868c179f156cf595c8b6f06f88bc5d80c4b31dccaa03\n",
            "Successfully built openai-whisper\n",
            "Installing collected packages: triton, tiktoken, openai-whisper\n",
            "Successfully installed openai-whisper-20240930 tiktoken-0.8.0 triton-3.1.0\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!sudo apt-get install espeak-ng\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "collapsed": true,
        "id": "ND16mg7E7wBh",
        "outputId": "482fdd39-6c79-48ee-aa19-2b27e3f40961"
      },
      "execution_count": 50,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Reading package lists... Done\n",
            "Building dependency tree... Done\n",
            "Reading state information... Done\n",
            "The following additional packages will be installed:\n",
            "  espeak-ng-data libespeak-ng1 libpcaudio0 libsonic0\n",
            "The following NEW packages will be installed:\n",
            "  espeak-ng espeak-ng-data libespeak-ng1 libpcaudio0 libsonic0\n",
            "0 upgraded, 5 newly installed, 0 to remove and 49 not upgraded.\n",
            "Need to get 4,526 kB of archives.\n",
            "After this operation, 11.9 MB of additional disk space will be used.\n",
            "Get:1 http://archive.ubuntu.com/ubuntu jammy/main amd64 libpcaudio0 amd64 1.1-6build2 [8,956 B]\n",
            "Get:2 http://archive.ubuntu.com/ubuntu jammy/main amd64 libsonic0 amd64 0.2.0-11build1 [10.3 kB]\n",
            "Get:3 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 espeak-ng-data amd64 1.50+dfsg-10ubuntu0.1 [3,956 kB]\n",
            "Get:4 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libespeak-ng1 amd64 1.50+dfsg-10ubuntu0.1 [207 kB]\n",
            "Get:5 http://archive.ubuntu.com/ubuntu jammy-updates/universe amd64 espeak-ng amd64 1.50+dfsg-10ubuntu0.1 [343 kB]\n",
            "Fetched 4,526 kB in 1s (4,698 kB/s)\n",
            "debconf: unable to initialize frontend: Dialog\n",
            "debconf: (No usable dialog-like program is installed, so the dialog based frontend cannot be used. at /usr/share/perl5/Debconf/FrontEnd/Dialog.pm line 78, <> line 5.)\n",
            "debconf: falling back to frontend: Readline\n",
            "debconf: unable to initialize frontend: Readline\n",
            "debconf: (This frontend requires a controlling tty.)\n",
            "debconf: falling back to frontend: Teletype\n",
            "dpkg-preconfigure: unable to re-open stdin: \n",
            "Selecting previously unselected package libpcaudio0:amd64.\n",
            "(Reading database ... 123632 files and directories currently installed.)\n",
            "Preparing to unpack .../libpcaudio0_1.1-6build2_amd64.deb ...\n",
            "Unpacking libpcaudio0:amd64 (1.1-6build2) ...\n",
            "Selecting previously unselected package libsonic0:amd64.\n",
            "Preparing to unpack .../libsonic0_0.2.0-11build1_amd64.deb ...\n",
            "Unpacking libsonic0:amd64 (0.2.0-11build1) ...\n",
            "Selecting previously unselected package espeak-ng-data:amd64.\n",
            "Preparing to unpack .../espeak-ng-data_1.50+dfsg-10ubuntu0.1_amd64.deb ...\n",
            "Unpacking espeak-ng-data:amd64 (1.50+dfsg-10ubuntu0.1) ...\n",
            "Selecting previously unselected package libespeak-ng1:amd64.\n",
            "Preparing to unpack .../libespeak-ng1_1.50+dfsg-10ubuntu0.1_amd64.deb ...\n",
            "Unpacking libespeak-ng1:amd64 (1.50+dfsg-10ubuntu0.1) ...\n",
            "Selecting previously unselected package espeak-ng.\n",
            "Preparing to unpack .../espeak-ng_1.50+dfsg-10ubuntu0.1_amd64.deb ...\n",
            "Unpacking espeak-ng (1.50+dfsg-10ubuntu0.1) ...\n",
            "Setting up libpcaudio0:amd64 (1.1-6build2) ...\n",
            "Setting up libsonic0:amd64 (0.2.0-11build1) ...\n",
            "Setting up espeak-ng-data:amd64 (1.50+dfsg-10ubuntu0.1) ...\n",
            "Setting up libespeak-ng1:amd64 (1.50+dfsg-10ubuntu0.1) ...\n",
            "Setting up espeak-ng (1.50+dfsg-10ubuntu0.1) ...\n",
            "Processing triggers for man-db (2.10.2-1) ...\n",
            "Processing triggers for libc-bin (2.35-0ubuntu3.4) ...\n",
            "/sbin/ldconfig.real: /usr/local/lib/libtcm_debug.so.1 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libtbbmalloc_proxy.so.2 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libtbbmalloc.so.2 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libtbb.so.12 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libur_adapter_level_zero.so.0 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libtbbbind_2_5.so.3 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libtbbbind_2_0.so.3 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libur_loader.so.0 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libur_adapter_opencl.so.0 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libtbbbind.so.3 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libhwloc.so.15 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libumf.so.0 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libtcm.so.1 is not a symbolic link\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def download_audio_from_video(video_url):\n",
        "    print(\"Downloading video and extracting audio...\")\n",
        "    ydl_opts = {\n",
        "        'format': 'bestaudio/best',  # Extract only the best audio\n",
        "        'outtmpl': '/content/downloaded_audio.%(ext)s',  # Save audio with the appropriate extension\n",
        "    }\n",
        "    with youtube_dl.YoutubeDL(ydl_opts) as ydl:\n",
        "        ydl.download([video_url])\n",
        "\n",
        "    # The file will be downloaded in .webm format by default\n",
        "    audio_file = '/content/downloaded_audio.webm'  # Correct file extension\n",
        "    print(f\"Audio extracted: {audio_file}\")\n",
        "\n",
        "    # Convert the audio to a format that Whisper can process (e.g., WAV)\n",
        "    converted_audio_file = '/content/downloaded_audio.wav'\n",
        "    ffmpeg.input(audio_file).output(converted_audio_file).run()\n",
        "\n",
        "    print(f\"Audio converted to WAV: {converted_audio_file}\")\n",
        "    return converted_audio_file"
      ],
      "metadata": {
        "id": "7cmdxnWA5WJr"
      },
      "execution_count": 45,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def transcribe_audio_whisper(audio_file):\n",
        "    import whisper\n",
        "    model = whisper.load_model(\"base\")  # You can use a different model size\n",
        "    result = model.transcribe(audio_file)\n",
        "    return result['text']\n"
      ],
      "metadata": {
        "id": "wN29JndAulkf"
      },
      "execution_count": 27,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install -U yt-dlp\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ciCVKTuP4KUR",
        "outputId": "1314856a-d2db-4065-cdbe-ba5d9dc16dff"
      },
      "execution_count": 35,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: yt-dlp in /usr/local/lib/python3.10/dist-packages (2024.12.3)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import yt_dlp as youtube_dl\n"
      ],
      "metadata": {
        "id": "JDcuddMR4Q_q"
      },
      "execution_count": 38,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import torch\n",
        "import numpy as np\n",
        "import wave\n",
        "import ffmpeg\n",
        "import pyttsx3\n",
        "from transformers import MarianMTModel, MarianTokenizer\n",
        "\n",
        "import os\n",
        "from google.colab import files"
      ],
      "metadata": {
        "id": "N6EuItb9upYJ"
      },
      "execution_count": 37,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def translate_text(text, src_lang, tgt_lang):\n",
        "    # Load the MarianMT model for translation\n",
        "    model_name = f'Helsinki-NLP/opus-mt-{src_lang}-{tgt_lang}'\n",
        "    model = MarianMTModel.from_pretrained(model_name)\n",
        "    tokenizer = MarianTokenizer.from_pretrained(model_name)\n",
        "\n",
        "    # Translate the text\n",
        "    inputs = tokenizer(text, return_tensors=\"pt\", padding=True, truncation=True)\n",
        "    translated = model.generate(**inputs)\n",
        "    translated_text = tokenizer.decode(translated[0], skip_special_tokens=True)\n",
        "\n",
        "    return translated_text"
      ],
      "metadata": {
        "id": "Whwbl2MivF5i"
      },
      "execution_count": 39,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def text_to_speech_openvino(text, lang):\n",
        "    # Initialize pyttsx3 TTS engine (OpenVINO™ doesn't directly support TTS, so we use pyttsx3 for now)\n",
        "    engine = pyttsx3.init()\n",
        "\n",
        "    # Set properties for TTS\n",
        "    engine.setProperty('voice', lang)\n",
        "    engine.setProperty('rate', 150)\n",
        "\n",
        "    # Save speech as audio\n",
        "    output_audio_file = '/content/output.mp3'\n",
        "    engine.save_to_file(text, output_audio_file)\n",
        "    engine.runAndWait()\n",
        "    return output_audio_file"
      ],
      "metadata": {
        "id": "BHOKPDzMvJuO"
      },
      "execution_count": 40,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def overlay_audio_on_video(video_url, audio_file):\n",
        "    # Download the video using youtube_dl\n",
        "    ydl_opts = {\n",
        "        'format': 'bestvideo+bestaudio/best',\n",
        "        'outtmpl': '/content/downloaded_video.%(ext)s',  # Save video with its original extension\n",
        "    }\n",
        "    with youtube_dl.YoutubeDL(ydl_opts) as ydl:\n",
        "        ydl.download([video_url])\n",
        "\n",
        "    # Extract video and audio separately\n",
        "    video_file = '/content/downloaded_video.mp4'\n",
        "    audio_file_out = '/content/extracted_audio.mp3'\n",
        "\n",
        "    # Extract audio from video using FFmpeg\n",
        "    ffmpeg.input(video_file).output(audio_file_out).run()\n",
        "\n",
        "    # Mute the original audio and overlay the new audio (translated speech)\n",
        "    output_video_file = '/content/final_video_with_dubbing.mp4'\n",
        "    ffmpeg.input(video_file).output(output_video_file, audio=audio_file).run()\n",
        "\n",
        "    print(f\"Final video with translated audio saved to {output_video_file}\")\n",
        "    return output_video_file"
      ],
      "metadata": {
        "id": "8jG7iKemvP8U"
      },
      "execution_count": 41,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def process_video_for_translation_and_dubbing(video_url, src_lang, tgt_lang):\n",
        "    # 1. Download and extract audio from YouTube video\n",
        "    audio_file = download_audio_from_video(video_url)\n",
        "    print(f\"Audio extracted: {audio_file}\")\n",
        "\n",
        "\n",
        "    # Step 2: Transcribe audio to text using Whisper\n",
        "    transcribed_text = transcribe_audio_whisper(audio_file)  # Using Whisper\n",
        "    print(f\"Transcribed Text: {transcribed_text}\")\n",
        "\n",
        "    # Step 3: Translate text dynamically\n",
        "    translated_text = translate_text(transcribed_text, src_lang, tgt_lang)\n",
        "    print(f\"Translated Text: {translated_text}\")\n",
        "\n",
        "    # Step 4: Convert translated text to speech\n",
        "    translated_audio_file = text_to_speech_openvino(translated_text, lang=tgt_lang)  # Using pyttsx3 for TTS\n",
        "\n",
        "    # Step 5: Overlay translated speech on original video\n",
        "    final_video = overlay_audio_on_video(video_url, translated_audio_file)\n",
        "\n",
        "    # Allow the user to download the final video\n",
        "    files.download(final_video)\n",
        "\n",
        "    return final_video"
      ],
      "metadata": {
        "id": "jLUU2IP7vR0d"
      },
      "execution_count": 42,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "video_url = \"https://www.youtube.com/watch?v=c-e3xHi0onw\"  # Replace with your YouTube video URL\n",
        "src_lang = \"en\"  # Source language (English)\n",
        "tgt_lang = \"hi\"  # Target language (Spanish)\n",
        "final_video = process_video_for_translation_and_dubbing(video_url, src_lang, tgt_lang)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000,
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            "8c801c7eeb454c9d82ec933cec7c597c",
            "b3d35c6ff57b42afaff84ec7ab4f2354",
            "9fbd895636494835adf4a02254ce6d29",
            "64ef2a4352924299aea30aa416908672",
            "e777ed6ed444412a99c3406b4bd97338",
            "cbe0b5ace7c7446baa1e240135e901a8",
            "29a88fd09505460d91e2b187a3015f04",
            "645bc22fca7340959f27359ad61dfe6d",
            "3cebb724a92342a7b3d32bde760d3bfb",
            "db3a3dc411f14bfbb8bd1f45e3e5dd92",
            "813a8ac59137496699957989a257ba3f",
            "151a9ea145a440b6bbbeef23fe09fea9",
            "f6385f75236e433ba798ac561baf4ae2",
            "b731b72cc5ae4d06b351f3f9b6d1305f",
            "5d571e6d6d72456c86edd04d1de16d54",
            "b7a78f9ea380454ea2c7ce3c26090596",
            "515e70c714024034b2731824f14ba3f0"
          ]
        },
        "collapsed": true,
        "id": "BU3pFLVpvWde",
        "outputId": "e76df816-63a3-4585-f583-b3c8794c878a"
      },
      "execution_count": 67,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Downloading video and extracting audio...\n",
            "[youtube] Extracting URL: https://www.youtube.com/watch?v=c-e3xHi0onw\n",
            "[youtube] c-e3xHi0onw: Downloading webpage\n",
            "[youtube] c-e3xHi0onw: Downloading ios player API JSON\n",
            "[youtube] c-e3xHi0onw: Downloading mweb player API JSON\n",
            "[youtube] c-e3xHi0onw: Downloading m3u8 information\n",
            "[info] c-e3xHi0onw: Downloading 1 format(s): 251\n",
            "[download] /content/downloaded_audio.webm has already been downloaded\n",
            "[download] 100% of    2.80MiB\n",
            "Audio extracted: /content/downloaded_audio.wav\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.\n",
            "  checkpoint = torch.load(fp, map_location=device)\n",
            "/usr/local/lib/python3.10/dist-packages/whisper/transcribe.py:132: UserWarning: FP16 is not supported on CPU; using FP32 instead\n",
            "  warnings.warn(\"FP16 is not supported on CPU; using FP32 instead\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Transcribed Text:  Nai Bro там你這 command unf Horror or we still got the annual heard a normally not available youtube if you are China and if that we are have will better be came well the Amazon breathe has shared we have had gr�� ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔ ۔\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "config.json:   0%|          | 0.00/1.39k [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "ec563df4b164416288092b60fb445208"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "pytorch_model.bin:   0%|          | 0.00/306M [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "eec3c892f03d458ea725a4beacf620d4"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "generation_config.json:   0%|          | 0.00/293 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "82f7ccc5a17c4e109d2f9900714bb2b0"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "tokenizer_config.json:   0%|          | 0.00/44.0 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "c9aa134ad9294421858f08c03ae78b45"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "source.spm:   0%|          | 0.00/812k [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "aaebc75bd2f7479bac21fda4e1589b3e"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "target.spm:   0%|          | 0.00/1.07M [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "d2031998cdce4539b24d464ab8487641"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "vocab.json:   0%|          | 0.00/2.10M [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "29a88fd09505460d91e2b187a3015f04"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/transformers/models/marian/tokenization_marian.py:175: UserWarning: Recommended: pip install sacremoses.\n",
            "  warnings.warn(\"Recommended: pip install sacremoses.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Translated Text: नीवुड या हम अभी भी एक नियमित रूप से उपलब्ध नहीं हैं... ... आप चीन हैं अगर और अगर हम बेहतर हैं की प्रतीक्षा की गई है की हम अच्छी तरह से PRIL PRICK Spe You Meol You MAPI © © © ©  ज़रा भी नहीं\n",
            "[youtube] Extracting URL: https://www.youtube.com/watch?v=c-e3xHi0onw\n",
            "[youtube] c-e3xHi0onw: Downloading webpage\n",
            "[youtube] c-e3xHi0onw: Downloading ios player API JSON\n",
            "[youtube] c-e3xHi0onw: Downloading mweb player API JSON\n",
            "[youtube] c-e3xHi0onw: Downloading m3u8 information\n",
            "[info] Testing format 616\n",
            "[info] c-e3xHi0onw: Downloading 1 format(s): 616+251\n",
            "[hlsnative] Downloading m3u8 manifest\n",
            "[hlsnative] Total fragments: 51\n",
            "[download] Destination: /content/downloaded_video.f616.mp4\n",
            "[download] 100% of   81.29MiB in 00:00:06 at 12.06MiB/s                \n",
            "[download] Destination: /content/downloaded_video.f251.webm\n",
            "[download] 100% of    2.80MiB in 00:00:00 at 21.25MiB/s  \n",
            "[Merger] Merging formats into \"/content/downloaded_video.webm\"\n",
            "Deleting original file /content/downloaded_video.f616.mp4 (pass -k to keep)\n",
            "Deleting original file /content/downloaded_video.f251.webm (pass -k to keep)\n"
          ]
        },
        {
          "output_type": "error",
          "ename": "Error",
          "evalue": "ffmpeg error (see stderr output for detail)",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mError\u001b[0m                                     Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-67-ac092d0dd191>\u001b[0m in \u001b[0;36m<cell line: 4>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0msrc_lang\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m\"en\"\u001b[0m  \u001b[0;31m# Source language (English)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0mtgt_lang\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m\"hi\"\u001b[0m  \u001b[0;31m# Target language (Spanish)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 4\u001b[0;31m \u001b[0mfinal_video\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mprocess_video_for_translation_and_dubbing\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvideo_url\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msrc_lang\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtgt_lang\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
            "\u001b[0;32m<ipython-input-42-53ad5b11d047>\u001b[0m in \u001b[0;36mprocess_video_for_translation_and_dubbing\u001b[0;34m(video_url, src_lang, tgt_lang)\u001b[0m\n\u001b[1;32m     25\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     26\u001b[0m     \u001b[0;31m# Step 5: Overlay translated speech on original video\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 27\u001b[0;31m     \u001b[0mfinal_video\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0moverlay_audio_on_video\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvideo_url\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtranslated_audio_file\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     28\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     29\u001b[0m     \u001b[0;31m# Allow the user to download the final video\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m<ipython-input-41-5f066c002535>\u001b[0m in \u001b[0;36moverlay_audio_on_video\u001b[0;34m(video_url, audio_file)\u001b[0m\n\u001b[1;32m     13\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     14\u001b[0m     \u001b[0;31m# Extract audio from video using FFmpeg\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 15\u001b[0;31m     \u001b[0mffmpeg\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minput\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvideo_file\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moutput\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0maudio_file_out\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     16\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     17\u001b[0m     \u001b[0;31m# Mute the original audio and overlay the new audio (translated speech)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/ffmpeg/_run.py\u001b[0m in \u001b[0;36mrun\u001b[0;34m(stream_spec, cmd, capture_stdout, capture_stderr, input, quiet, overwrite_output)\u001b[0m\n\u001b[1;32m    323\u001b[0m     \u001b[0mretcode\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mprocess\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpoll\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    324\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mretcode\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 325\u001b[0;31m         \u001b[0;32mraise\u001b[0m \u001b[0mError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'ffmpeg'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mout\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0merr\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    326\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mout\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0merr\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    327\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mError\u001b[0m: ffmpeg error (see stderr output for detail)"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import os\n",
        "\n",
        "# Check if the file exists after conversion\n",
        "audio_file = '/content/downloaded_audio.webm'\n",
        "converted_audio_file = '/content/downloaded_audio.wav'\n",
        "\n",
        "# Check if both files exist\n",
        "print(f\"WebM file exists: {os.path.exists(audio_file)}\")\n",
        "print(f\"WAV file exists: {os.path.exists(converted_audio_file)}\")\n",
        "\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "HQuuHOfe6WVB",
        "outputId": "85ae2bf0-61a4-4bb2-8408-3ea36a6e527e"
      },
      "execution_count": 65,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "WebM file exists: True\n",
            "WAV file exists: False\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import subprocess\n",
        "\n",
        "def convert_webm_to_wav(input_file, output_file):\n",
        "    try:\n",
        "        # Run FFmpeg conversion\n",
        "        result = subprocess.run(\n",
        "            ['ffmpeg', '-i', input_file, output_file],\n",
        "            stdout=subprocess.PIPE,\n",
        "            stderr=subprocess.PIPE,\n",
        "            check=True\n",
        "        )\n",
        "        print(f\"Conversion successful: {result.stdout.decode()}\")\n",
        "    except subprocess.CalledProcessError as e:\n",
        "        print(f\"FFmpeg error: {e.stderr.decode()}\")\n",
        "\n",
        "# Convert the .webm file to .wav\n",
        "convert_webm_to_wav('/content/downloaded_audio.webm', '/content/downloaded_audio.wav')\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "54eBRuGc6h1b",
        "outputId": "84b7c32e-5a4e-45b0-8f77-06d0645aea4f"
      },
      "execution_count": 66,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Conversion successful: \n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!ffmpeg -i /content/downloaded_video.f616.mp4 -i /content/downloaded_audio.wav -c:v copy -c:a aac /content/output_video.mp4\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "collapsed": true,
        "id": "QSzk49B88tyD",
        "outputId": "4208fb87-3045-4583-f818-f3cb80eeed0d"
      },
      "execution_count": 52,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ffmpeg version 4.4.2-0ubuntu0.22.04.1 Copyright (c) 2000-2021 the FFmpeg developers\n",
            "  built with gcc 11 (Ubuntu 11.2.0-19ubuntu1)\n",
            "  configuration: --prefix=/usr --extra-version=0ubuntu0.22.04.1 --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --arch=amd64 --enable-gpl --disable-stripping --enable-gnutls --enable-ladspa --enable-libaom --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libcodec2 --enable-libdav1d --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libgme --enable-libgsm --enable-libjack --enable-libmp3lame --enable-libmysofa --enable-libopenjpeg --enable-libopenmpt --enable-libopus --enable-libpulse --enable-librabbitmq --enable-librubberband --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libsrt --enable-libssh --enable-libtheora --enable-libtwolame --enable-libvidstab --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx265 --enable-libxml2 --enable-libxvid --enable-libzimg --enable-libzmq --enable-libzvbi --enable-lv2 --enable-omx --enable-openal --enable-opencl --enable-opengl --enable-sdl2 --enable-pocketsphinx --enable-librsvg --enable-libmfx --enable-libdc1394 --enable-libdrm --enable-libiec61883 --enable-chromaprint --enable-frei0r --enable-libx264 --enable-shared\n",
            "  libavutil      56. 70.100 / 56. 70.100\n",
            "  libavcodec     58.134.100 / 58.134.100\n",
            "  libavformat    58. 76.100 / 58. 76.100\n",
            "  libavdevice    58. 13.100 / 58. 13.100\n",
            "  libavfilter     7.110.100 /  7.110.100\n",
            "  libswscale      5.  9.100 /  5.  9.100\n",
            "  libswresample   3.  9.100 /  3.  9.100\n",
            "  libpostproc    55.  9.100 / 55.  9.100\n",
            "\u001b[1;31m/content/downloaded_video.f616.mp4: No such file or directory\n",
            "\u001b[0m"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!ls /content/\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UYvzAolj82YV",
        "outputId": "e8aa2ba8-7525-4c44-a136-ec60125e6248"
      },
      "execution_count": 53,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "downloaded_audio.wav  downloaded_audio.webm  downloaded_video.webm  output.mp3\tsample_data\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!ffmpeg -i /content/downloaded_video.webm -i /content/downloaded_audio.wav -c:v libvpx -c:a libvorbis /content/final_video.webm\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "collapsed": true,
        "id": "XigJRsP09Bic",
        "outputId": "e237f14c-29b9-4b04-c741-7406d16b1fa5"
      },
      "execution_count": 54,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ffmpeg version 4.4.2-0ubuntu0.22.04.1 Copyright (c) 2000-2021 the FFmpeg developers\n",
            "  built with gcc 11 (Ubuntu 11.2.0-19ubuntu1)\n",
            "  configuration: --prefix=/usr --extra-version=0ubuntu0.22.04.1 --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --arch=amd64 --enable-gpl --disable-stripping --enable-gnutls --enable-ladspa --enable-libaom --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libcodec2 --enable-libdav1d --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libgme --enable-libgsm --enable-libjack --enable-libmp3lame --enable-libmysofa --enable-libopenjpeg --enable-libopenmpt --enable-libopus --enable-libpulse --enable-librabbitmq --enable-librubberband --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libsrt --enable-libssh --enable-libtheora --enable-libtwolame --enable-libvidstab --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx265 --enable-libxml2 --enable-libxvid --enable-libzimg --enable-libzmq --enable-libzvbi --enable-lv2 --enable-omx --enable-openal --enable-opencl --enable-opengl --enable-sdl2 --enable-pocketsphinx --enable-librsvg --enable-libmfx --enable-libdc1394 --enable-libdrm --enable-libiec61883 --enable-chromaprint --enable-frei0r --enable-libx264 --enable-shared\n",
            "  libavutil      56. 70.100 / 56. 70.100\n",
            "  libavcodec     58.134.100 / 58.134.100\n",
            "  libavformat    58. 76.100 / 58. 76.100\n",
            "  libavdevice    58. 13.100 / 58. 13.100\n",
            "  libavfilter     7.110.100 /  7.110.100\n",
            "  libswscale      5.  9.100 /  5.  9.100\n",
            "  libswresample   3.  9.100 /  3.  9.100\n",
            "  libpostproc    55.  9.100 / 55.  9.100\n",
            "Input #0, matroska,webm, from '/content/downloaded_video.webm':\n",
            "  Metadata:\n",
            "    COMPATIBLE_BRANDS: iso6mp41\n",
            "    MAJOR_BRAND     : dash\n",
            "    MINOR_VERSION   : 0\n",
            "    ENCODER         : Lavf58.76.100\n",
            "  Duration: 00:03:32.06, start: -0.007000, bitrate: 3882 kb/s\n",
            "  Stream #0:0: Video: vp9 (Profile 0), yuv420p(tv, bt709), 1920x1080, SAR 1:1 DAR 16:9, 25 fps, 25 tbr, 1k tbn, 1k tbc (default)\n",
            "    Metadata:\n",
            "      HANDLER_NAME    : ISO Media file produced by Google Inc. Created on: 12/05/2024.\n",
            "      VENDOR_ID       : [0][0][0][0]\n",
            "      DURATION        : 00:03:32.040000000\n",
            "  Stream #0:1(eng): Audio: opus, 48000 Hz, stereo, fltp (default)\n",
            "    Metadata:\n",
            "      DURATION        : 00:03:32.061000000\n",
            "\u001b[0;33mGuessed Channel Layout for Input Stream #1.0 : stereo\n",
            "\u001b[0mInput #1, wav, from '/content/downloaded_audio.wav':\n",
            "  Metadata:\n",
            "    encoder         : Lavf58.76.100\n",
            "  Duration: 00:03:32.04, bitrate: 1536 kb/s\n",
            "  Stream #1:0: Audio: pcm_s16le ([1][0][0][0] / 0x0001), 48000 Hz, stereo, s16, 1536 kb/s\n",
            "Stream mapping:\n",
            "  Stream #0:0 -> #0:0 (vp9 (native) -> vp8 (libvpx))\n",
            "  Stream #0:1 -> #0:1 (opus (native) -> vorbis (libvorbis))\n",
            "Press [q] to stop, [?] for help\n",
            "\u001b[1;36m[libvpx @ 0x585c0bfcc280] \u001b[0mv1.11.0\n",
            "\u001b[1;36m[libvpx @ 0x585c0bfcc280] \u001b[0m\u001b[0;33mNeither bitrate nor constrained quality specified, using default CRF of 32 and bitrate of 256kbit/sec\n",
            "\u001b[0mOutput #0, webm, to '/content/final_video.webm':\n",
            "  Metadata:\n",
            "    COMPATIBLE_BRANDS: iso6mp41\n",
            "    MAJOR_BRAND     : dash\n",
            "    MINOR_VERSION   : 0\n",
            "    encoder         : Lavf58.76.100\n",
            "  Stream #0:0: Video: vp8, yuv420p(tv, bt709, progressive), 1920x1080 [SAR 1:1 DAR 16:9], q=2-31, 256 kb/s, 25 fps, 1k tbn (default)\n",
            "    Metadata:\n",
            "      HANDLER_NAME    : ISO Media file produced by Google Inc. Created on: 12/05/2024.\n",
            "      VENDOR_ID       : [0][0][0][0]\n",
            "      DURATION        : 00:03:32.040000000\n",
            "      encoder         : Lavc58.134.100 libvpx\n",
            "    Side data:\n",
            "      cpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: N/A\n",
            "  Stream #0:1(eng): Audio: vorbis, 48000 Hz, stereo, fltp (default)\n",
            "    Metadata:\n",
            "      DURATION        : 00:03:32.061000000\n",
            "      encoder         : Lavc58.134.100 libvorbis\n",
            "frame=  922 fps=5.6 q=0.0 Lsize=    4122kB time=00:00:36.91 bitrate= 914.6kbits/s speed=0.222x    \n",
            "video:3613kB audio:481kB subtitle:0kB other streams:0kB global headers:4kB muxing overhead: 0.695702%\n",
            "Exiting normally, received signal 2.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import subprocess\n",
        "\n",
        "# Command to combine video and dubbed audio\n",
        "command = [\n",
        "    \"ffmpeg\", \"-i\", \"downloaded_video.webm\", \"-i\", \"output.mp3\",\n",
        "    \"-c:v\", \"copy\", \"-c:a\", \"aac\", \"-strict\", \"experimental\", \"final_video.mp4\"\n",
        "]\n",
        "\n",
        "# Run the command\n",
        "subprocess.run(command)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "lvStp8nO9sY2",
        "outputId": "a35fca2f-4122-4d3e-cc56-ac9556715c76"
      },
      "execution_count": 68,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "CompletedProcess(args=['ffmpeg', '-i', 'downloaded_video.webm', '-i', 'output.mp3', '-c:v', 'copy', '-c:a', 'aac', '-strict', 'experimental', 'final_video.mp4'], returncode=0)"
            ]
          },
          "metadata": {},
          "execution_count": 68
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import os\n",
        "\n",
        "# Check if the final video exists\n",
        "if os.path.exists(\"final_video.mp4\"):\n",
        "    print(\"Final video created successfully!\")\n",
        "else:\n",
        "    print(\"Final video was not created.\")\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "48fvB60H-K7v",
        "outputId": "84fd3ecc-76e2-4422-bad9-bab4b53e19ef"
      },
      "execution_count": 58,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Final video created successfully!\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import files\n",
        "\n",
        "# Download the final video file\n",
        "files.download(\"final_video.mp4\")\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 17
        },
        "id": "nxO4FW5Q-Q1N",
        "outputId": "d1ddd805-9180-4301-917b-7b21d62f3d08"
      },
      "execution_count": 63,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "\n",
              "    async function download(id, filename, size) {\n",
              "      if (!google.colab.kernel.accessAllowed) {\n",
              "        return;\n",
              "      }\n",
              "      const div = document.createElement('div');\n",
              "      const label = document.createElement('label');\n",
              "      label.textContent = `Downloading \"${filename}\": `;\n",
              "      div.appendChild(label);\n",
              "      const progress = document.createElement('progress');\n",
              "      progress.max = size;\n",
              "      div.appendChild(progress);\n",
              "      document.body.appendChild(div);\n",
              "\n",
              "      const buffers = [];\n",
              "      let downloaded = 0;\n",
              "\n",
              "      const channel = await google.colab.kernel.comms.open(id);\n",
              "      // Send a message to notify the kernel that we're ready.\n",
              "      channel.send({})\n",
              "\n",
              "      for await (const message of channel.messages) {\n",
              "        // Send a message to notify the kernel that we're ready.\n",
              "        channel.send({})\n",
              "        if (message.buffers) {\n",
              "          for (const buffer of message.buffers) {\n",
              "            buffers.push(buffer);\n",
              "            downloaded += buffer.byteLength;\n",
              "            progress.value = downloaded;\n",
              "          }\n",
              "        }\n",
              "      }\n",
              "      const blob = new Blob(buffers, {type: 'application/binary'});\n",
              "      const a = document.createElement('a');\n",
              "      a.href = window.URL.createObjectURL(blob);\n",
              "      a.download = filename;\n",
              "      div.appendChild(a);\n",
              "      a.click();\n",
              "      div.remove();\n",
              "    }\n",
              "  "
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "download(\"download_fe28c17b-459a-4966-92fb-52ff8e58193d\", \"final_video.mp4\", 13534569)"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!ffmpeg -i downloaded_video.webm -i output.mp3 -c:v copy -c:a aac -map 0:v:0 -map 1:a:0 -shortest final_video.mp4\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "collapsed": true,
        "id": "3JcGufE6B3QE",
        "outputId": "156a2300-9a4b-4ef7-9c4b-fe79ecdd5e14"
      },
      "execution_count": 69,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ffmpeg version 4.4.2-0ubuntu0.22.04.1 Copyright (c) 2000-2021 the FFmpeg developers\n",
            "  built with gcc 11 (Ubuntu 11.2.0-19ubuntu1)\n",
            "  configuration: --prefix=/usr --extra-version=0ubuntu0.22.04.1 --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --arch=amd64 --enable-gpl --disable-stripping --enable-gnutls --enable-ladspa --enable-libaom --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libcodec2 --enable-libdav1d --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libgme --enable-libgsm --enable-libjack --enable-libmp3lame --enable-libmysofa --enable-libopenjpeg --enable-libopenmpt --enable-libopus --enable-libpulse --enable-librabbitmq --enable-librubberband --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libsrt --enable-libssh --enable-libtheora --enable-libtwolame --enable-libvidstab --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx265 --enable-libxml2 --enable-libxvid --enable-libzimg --enable-libzmq --enable-libzvbi --enable-lv2 --enable-omx --enable-openal --enable-opencl --enable-opengl --enable-sdl2 --enable-pocketsphinx --enable-librsvg --enable-libmfx --enable-libdc1394 --enable-libdrm --enable-libiec61883 --enable-chromaprint --enable-frei0r --enable-libx264 --enable-shared\n",
            "  libavutil      56. 70.100 / 56. 70.100\n",
            "  libavcodec     58.134.100 / 58.134.100\n",
            "  libavformat    58. 76.100 / 58. 76.100\n",
            "  libavdevice    58. 13.100 / 58. 13.100\n",
            "  libavfilter     7.110.100 /  7.110.100\n",
            "  libswscale      5.  9.100 /  5.  9.100\n",
            "  libswresample   3.  9.100 /  3.  9.100\n",
            "  libpostproc    55.  9.100 / 55.  9.100\n",
            "Input #0, matroska,webm, from 'downloaded_video.webm':\n",
            "  Metadata:\n",
            "    COMPATIBLE_BRANDS: iso6mp41\n",
            "    MAJOR_BRAND     : dash\n",
            "    MINOR_VERSION   : 0\n",
            "    ENCODER         : Lavf58.76.100\n",
            "  Duration: 00:04:15.50, start: -0.007000, bitrate: 2759 kb/s\n",
            "  Stream #0:0: Video: vp9 (Profile 0), yuv420p(tv, bt709), 1920x1080, SAR 1:1 DAR 16:9, 30 fps, 30 tbr, 1k tbn, 1k tbc (default)\n",
            "    Metadata:\n",
            "      HANDLER_NAME    : ISO Media file produced by Google Inc. Created on: 12/05/2024.\n",
            "      VENDOR_ID       : [0][0][0][0]\n",
            "      DURATION        : 00:04:15.466000000\n",
            "  Stream #0:1(eng): Audio: opus, 48000 Hz, stereo, fltp (default)\n",
            "    Metadata:\n",
            "      DURATION        : 00:04:15.501000000\n",
            "Input #1, mp3, from 'output.mp3':\n",
            "  Metadata:\n",
            "    encoder         : Lavf58.76.100\n",
            "  Duration: 00:00:11.86, start: 0.050113, bitrate: 32 kb/s\n",
            "  Stream #1:0: Audio: mp3, 22050 Hz, mono, fltp, 32 kb/s\n",
            "File 'final_video.mp4' already exists. Overwrite? [y/N] y\n",
            "Stream mapping:\n",
            "  Stream #0:0 -> #0:0 (copy)\n",
            "  Stream #1:0 -> #0:1 (mp3 (mp3float) -> aac (native))\n",
            "Press [q] to stop, [?] for help\n",
            "Output #0, mp4, to 'final_video.mp4':\n",
            "  Metadata:\n",
            "    COMPATIBLE_BRANDS: iso6mp41\n",
            "    MAJOR_BRAND     : dash\n",
            "    MINOR_VERSION   : 0\n",
            "    encoder         : Lavf58.76.100\n",
            "  Stream #0:0: Video: vp9 (Profile 0) (vp09 / 0x39307076), yuv420p(tv, bt709), 1920x1080 [SAR 1:1 DAR 16:9], q=2-31, 30 fps, 30 tbr, 16k tbn, 1k tbc (default)\n",
            "    Metadata:\n",
            "      HANDLER_NAME    : ISO Media file produced by Google Inc. Created on: 12/05/2024.\n",
            "      VENDOR_ID       : [0][0][0][0]\n",
            "      DURATION        : 00:04:15.466000000\n",
            "  Stream #0:1: Audio: aac (LC) (mp4a / 0x6134706D), 22050 Hz, mono, fltp, 69 kb/s\n",
            "    Metadata:\n",
            "      encoder         : Lavc58.134.100 aac\n",
            "frame=  354 fps=0.0 q=-1.0 Lsize=    4912kB time=00:00:11.79 bitrate=3411.1kbits/s speed=72.8x    \n",
            "video:4787kB audio:115kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.203910%\n",
            "\u001b[1;36m[aac @ 0x56949872a1c0] \u001b[0mQavg: 5574.835\n"
          ]
        }
      ]
    }
  ]
}