AI_Influencer.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "view-in-github"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/SamurAIGPT/AI-Influencer/blob/main/AI_Influencer.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-eqku_0bu3Zm",
        "outputId": "e9d1fa16-73ea-4550-b048-24e40d8c9b05"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Tesla T4, 15360 MiB, 15095 MiB\n"
          ]
        }
      ],
      "source": [
        "### make sure that CUDA is available in Edit -> Nootbook settings -> GPU\n",
        "!nvidia-smi --query-gpu=name,memory.total,memory.free --format=csv,noheader"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "AgcUSZHIu7XV",
        "outputId": "4a9bca87-e3bd-412b-fda8-a168edf90576"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
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            "/content/SadTalker\n",
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            "Installing collected packages: pytz, pydub, lmdb, addict, zipp, websockets, tzdata, tqdm, tomlkit, tomli, threadpoolctl, tensorboard-data-server, sniffio, shellingham, semantic-version, safetensors, ruff, pyyaml, python-multipart, python-dateutil, pygments, pydantic-core, pycparser, pyasn1, protobuf, platformdirs, packaging, orjson, numpy, networkx, mdurl, markupsafe, markdown, llvmlite, kiwisolver, joblib, imageio-ffmpeg, h11, grpcio, future, fsspec, fonttools, filelock, ffmpy, exceptiongroup, decorator, cycler, click, cachetools, av, audioread, annotated-types, aiofiles, absl-py, yapf, yacs, werkzeug, uvicorn, tifffile, scipy, rsa, requests-oauthlib, PyWavelets, pydantic, pyasn1-modules, pooch, pandas, opencv-python, numba, markdown-it-py, kornia, jinja2, importlib-resources, imageio, huggingface-hub, httpcore, contourpy, cffi, anyio, starlette, soundfile, scikit-learn, scikit-image, rich, resampy, matplotlib, httpx, google-auth, typer, librosa, gradio-client, google-auth-oauthlib, filterpy, fastapi, face_alignment, tb-nightly, gradio, facexlib, basicsr, gfpgan\n",
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            "Collecting nvidia-cuda-nvrtc-cu12==12.4.127 (from torch>=1.10.0->accelerate)\n",
            "  Downloading nvidia_cuda_nvrtc_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl.metadata (1.5 kB)\n",
            "Collecting nvidia-cuda-runtime-cu12==12.4.127 (from torch>=1.10.0->accelerate)\n",
            "  Downloading nvidia_cuda_runtime_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl.metadata (1.5 kB)\n",
            "Collecting nvidia-cuda-cupti-cu12==12.4.127 (from torch>=1.10.0->accelerate)\n",
            "  Downloading nvidia_cuda_cupti_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl.metadata (1.6 kB)\n",
            "Collecting nvidia-cudnn-cu12==9.1.0.70 (from torch>=1.10.0->accelerate)\n",
            "  Downloading nvidia_cudnn_cu12-9.1.0.70-py3-none-manylinux2014_x86_64.whl.metadata (1.6 kB)\n",
            "Collecting nvidia-cublas-cu12==12.4.5.8 (from torch>=1.10.0->accelerate)\n",
            "  Downloading nvidia_cublas_cu12-12.4.5.8-py3-none-manylinux2014_x86_64.whl.metadata (1.5 kB)\n",
            "Collecting nvidia-cufft-cu12==11.2.1.3 (from torch>=1.10.0->accelerate)\n",
            "  Downloading nvidia_cufft_cu12-11.2.1.3-py3-none-manylinux2014_x86_64.whl.metadata (1.5 kB)\n",
            "Collecting nvidia-curand-cu12==10.3.5.147 (from torch>=1.10.0->accelerate)\n",
            "  Downloading nvidia_curand_cu12-10.3.5.147-py3-none-manylinux2014_x86_64.whl.metadata (1.5 kB)\n",
            "Collecting nvidia-cusolver-cu12==11.6.1.9 (from torch>=1.10.0->accelerate)\n",
            "  Downloading nvidia_cusolver_cu12-11.6.1.9-py3-none-manylinux2014_x86_64.whl.metadata (1.6 kB)\n",
            "Collecting nvidia-cusparse-cu12==12.3.1.170 (from torch>=1.10.0->accelerate)\n",
            "  Downloading nvidia_cusparse_cu12-12.3.1.170-py3-none-manylinux2014_x86_64.whl.metadata (1.6 kB)\n",
            "Requirement already satisfied: nvidia-nccl-cu12==2.21.5 in /usr/local/lib/python3.11/dist-packages (from torch>=1.10.0->accelerate) (2.21.5)\n",
            "Requirement already satisfied: nvidia-nvtx-cu12==12.4.127 in /usr/local/lib/python3.11/dist-packages (from torch>=1.10.0->accelerate) (12.4.127)\n",
            "Collecting nvidia-nvjitlink-cu12==12.4.127 (from torch>=1.10.0->accelerate)\n",
            "  Downloading nvidia_nvjitlink_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl.metadata (1.5 kB)\n",
            "Requirement already satisfied: triton==3.1.0 in /usr/local/lib/python3.11/dist-packages (from torch>=1.10.0->accelerate) (3.1.0)\n",
            "Requirement already satisfied: sympy==1.13.1 in /usr/local/lib/python3.11/dist-packages (from torch>=1.10.0->accelerate) (1.13.1)\n",
            "Requirement already satisfied: mpmath<1.4,>=1.1.0 in /usr/local/lib/python3.11/dist-packages (from sympy==1.13.1->torch>=1.10.0->accelerate) (1.3.0)\n",
            "Requirement already satisfied: zipp>=3.20 in /usr/local/lib/python3.11/dist-packages (from importlib-metadata->diffusers) (3.21.0)\n",
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            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.11/dist-packages (from requests->diffusers) (2.3.0)\n",
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            "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.11/dist-packages (from jinja2->torch>=1.10.0->accelerate) (3.0.2)\n",
            "Downloading nvidia_cublas_cu12-12.4.5.8-py3-none-manylinux2014_x86_64.whl (363.4 MB)\n",
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            "\u001b[?25hDownloading nvidia_cusolver_cu12-11.6.1.9-py3-none-manylinux2014_x86_64.whl (127.9 MB)\n",
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            "\u001b[?25hDownloading nvidia_cusparse_cu12-12.3.1.170-py3-none-manylinux2014_x86_64.whl (207.5 MB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m207.5/207.5 MB\u001b[0m \u001b[31m5.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hDownloading nvidia_nvjitlink_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl (21.1 MB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m21.1/21.1 MB\u001b[0m \u001b[31m65.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hInstalling collected packages: nvidia-nvjitlink-cu12, nvidia-curand-cu12, nvidia-cufft-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, nvidia-cusparse-cu12, nvidia-cudnn-cu12, nvidia-cusolver-cu12\n",
            "  Attempting uninstall: nvidia-nvjitlink-cu12\n",
            "    Found existing installation: nvidia-nvjitlink-cu12 12.5.82\n",
            "    Uninstalling nvidia-nvjitlink-cu12-12.5.82:\n",
            "      Successfully uninstalled nvidia-nvjitlink-cu12-12.5.82\n",
            "  Attempting uninstall: nvidia-curand-cu12\n",
            "    Found existing installation: nvidia-curand-cu12 10.3.6.82\n",
            "    Uninstalling nvidia-curand-cu12-10.3.6.82:\n",
            "      Successfully uninstalled nvidia-curand-cu12-10.3.6.82\n",
            "  Attempting uninstall: nvidia-cufft-cu12\n",
            "    Found existing installation: nvidia-cufft-cu12 11.2.3.61\n",
            "    Uninstalling nvidia-cufft-cu12-11.2.3.61:\n",
            "      Successfully uninstalled nvidia-cufft-cu12-11.2.3.61\n",
            "  Attempting uninstall: nvidia-cuda-runtime-cu12\n",
            "    Found existing installation: nvidia-cuda-runtime-cu12 12.5.82\n",
            "    Uninstalling nvidia-cuda-runtime-cu12-12.5.82:\n",
            "      Successfully uninstalled nvidia-cuda-runtime-cu12-12.5.82\n",
            "  Attempting uninstall: nvidia-cuda-nvrtc-cu12\n",
            "    Found existing installation: nvidia-cuda-nvrtc-cu12 12.5.82\n",
            "    Uninstalling nvidia-cuda-nvrtc-cu12-12.5.82:\n",
            "      Successfully uninstalled nvidia-cuda-nvrtc-cu12-12.5.82\n",
            "  Attempting uninstall: nvidia-cuda-cupti-cu12\n",
            "    Found existing installation: nvidia-cuda-cupti-cu12 12.5.82\n",
            "    Uninstalling nvidia-cuda-cupti-cu12-12.5.82:\n",
            "      Successfully uninstalled nvidia-cuda-cupti-cu12-12.5.82\n",
            "  Attempting uninstall: nvidia-cublas-cu12\n",
            "    Found existing installation: nvidia-cublas-cu12 12.5.3.2\n",
            "    Uninstalling nvidia-cublas-cu12-12.5.3.2:\n",
            "      Successfully uninstalled nvidia-cublas-cu12-12.5.3.2\n",
            "  Attempting uninstall: nvidia-cusparse-cu12\n",
            "    Found existing installation: nvidia-cusparse-cu12 12.5.1.3\n",
            "    Uninstalling nvidia-cusparse-cu12-12.5.1.3:\n",
            "      Successfully uninstalled nvidia-cusparse-cu12-12.5.1.3\n",
            "  Attempting uninstall: nvidia-cudnn-cu12\n",
            "    Found existing installation: nvidia-cudnn-cu12 9.3.0.75\n",
            "    Uninstalling nvidia-cudnn-cu12-9.3.0.75:\n",
            "      Successfully uninstalled nvidia-cudnn-cu12-9.3.0.75\n",
            "  Attempting uninstall: nvidia-cusolver-cu12\n",
            "    Found existing installation: nvidia-cusolver-cu12 11.6.3.83\n",
            "    Uninstalling nvidia-cusolver-cu12-11.6.3.83:\n",
            "      Successfully uninstalled nvidia-cusolver-cu12-11.6.3.83\n",
            "Successfully installed nvidia-cublas-cu12-12.4.5.8 nvidia-cuda-cupti-cu12-12.4.127 nvidia-cuda-nvrtc-cu12-12.4.127 nvidia-cuda-runtime-cu12-12.4.127 nvidia-cudnn-cu12-9.1.0.70 nvidia-cufft-cu12-11.2.1.3 nvidia-curand-cu12-10.3.5.147 nvidia-cusolver-cu12-11.6.1.9 nvidia-cusparse-cu12-12.3.1.170 nvidia-nvjitlink-cu12-12.4.127\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.11/dist-packages (2.32.3)\n",
            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.11/dist-packages (from requests) (3.4.1)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.11/dist-packages (from requests) (3.10)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.11/dist-packages (from requests) (2.3.0)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.11/dist-packages (from requests) (2024.12.14)\n"
          ]
        }
      ],
      "source": [
        "### Dependency installations\n",
        "!update-alternatives --install /usr/local/bin/python3 python3 /usr/bin/python3.8 2\n",
        "!update-alternatives --install /usr/local/bin/python3 python3 /usr/bin/python3.9 1\n",
        "!sudo apt install python3.8\n",
        "\n",
        "!sudo apt-get install python3.8-distutils\n",
        "\n",
        "!python --version\n",
        "\n",
        "!apt-get update\n",
        "\n",
        "!apt install software-properties-common\n",
        "\n",
        "!sudo dpkg --remove --force-remove-reinstreq python3-pip python3-setuptools python3-wheel\n",
        "\n",
        "!apt-get install python3-pip\n",
        "\n",
        "print('Git clone project and install requirements...')\n",
        "!git clone https://github.com/Winfredy/SadTalker &> /dev/null\n",
        "%cd SadTalker\n",
        "!export PYTHONPATH=/content/SadTalker:$PYTHONPATH\n",
        "!python3.8 -m pip install torch==1.12.1+cu113 torchvision==0.13.1+cu113 torchaudio==0.12.1 --extra-index-url https://download.pytorch.org/whl/cu113\n",
        "!apt update\n",
        "!apt install ffmpeg &> /dev/null\n",
        "!python3.8 -m pip install -r requirements.txt\n",
        "!pip install openai\n",
        "!pip install gtts\n",
        "!pip install diffusers accelerate transformers\n",
        "!pip install requests"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "HbU5xKRDu9VN",
        "outputId": "07a62faf-16a3-44ff-a45e-ffb1d9df9916"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Download pre-trained models...\n",
            "--2025-02-04 09:17:51--  https://github.com/OpenTalker/SadTalker/releases/download/v0.0.2-rc/mapping_00109-model.pth.tar\n",
            "Resolving github.com (github.com)... 20.205.243.166\n",
            "Connecting to github.com (github.com)|20.205.243.166|:443... connected.\n",
            "HTTP request sent, awaiting response... 302 Found\n",
            "Location: https://objects.githubusercontent.com/github-production-release-asset-2e65be/569518584/ccc415aa-c6f4-47ee-8250-b10bf440ba62?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=releaseassetproduction%2F20250204%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20250204T091751Z&X-Amz-Expires=300&X-Amz-Signature=7cecabe7e0ded43fe2db923997834cdce31327ad5ba0c9e128ff4a0d3029aa5c&X-Amz-SignedHeaders=host&response-content-disposition=attachment%3B%20filename%3Dmapping_00109-model.pth.tar&response-content-type=application%2Foctet-stream [following]\n",
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            "Resolving objects.githubusercontent.com (objects.githubusercontent.com)... 185.199.108.133, 185.199.109.133, 185.199.110.133, ...\n",
            "Connecting to objects.githubusercontent.com (objects.githubusercontent.com)|185.199.108.133|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 155779231 (149M) [application/octet-stream]\n",
            "Saving to: ‘./checkpoints/mapping_00109-model.pth.tar’\n",
            "\n",
            "./checkpoints/mappi 100%[===================>] 148.56M   225MB/s    in 0.7s    \n",
            "\n",
            "2025-02-04 09:17:53 (225 MB/s) - ‘./checkpoints/mapping_00109-model.pth.tar’ saved [155779231/155779231]\n",
            "\n",
            "--2025-02-04 09:17:54--  https://github.com/OpenTalker/SadTalker/releases/download/v0.0.2-rc/mapping_00229-model.pth.tar\n",
            "Resolving github.com (github.com)... 20.205.243.166\n",
            "Connecting to github.com (github.com)|20.205.243.166|:443... connected.\n",
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            "Location: https://objects.githubusercontent.com/github-production-release-asset-2e65be/569518584/280b5a48-9356-4459-8be8-5702a4c61745?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=releaseassetproduction%2F20250204%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20250204T091754Z&X-Amz-Expires=300&X-Amz-Signature=560cff8791933b2601ca988173e11f6262b6e244cfa3b6fb4eeeaf061ecfad89&X-Amz-SignedHeaders=host&response-content-disposition=attachment%3B%20filename%3Dmapping_00229-model.pth.tar&response-content-type=application%2Foctet-stream [following]\n",
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            "Resolving objects.githubusercontent.com (objects.githubusercontent.com)... 185.199.108.133, 185.199.109.133, 185.199.110.133, ...\n",
            "Connecting to objects.githubusercontent.com (objects.githubusercontent.com)|185.199.108.133|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 155521183 (148M) [application/octet-stream]\n",
            "Saving to: ‘./checkpoints/mapping_00229-model.pth.tar’\n",
            "\n",
            "./checkpoints/mappi 100%[===================>] 148.32M  38.4MB/s    in 3.9s    \n",
            "\n",
            "2025-02-04 09:17:58 (38.4 MB/s) - ‘./checkpoints/mapping_00229-model.pth.tar’ saved [155521183/155521183]\n",
            "\n",
            "--2025-02-04 09:17:58--  https://github.com/OpenTalker/SadTalker/releases/download/v0.0.2-rc/SadTalker_V0.0.2_256.safetensors\n",
            "Resolving github.com (github.com)... 20.205.243.166\n",
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            "Resolving objects.githubusercontent.com (objects.githubusercontent.com)... 185.199.108.133, 185.199.109.133, 185.199.110.133, ...\n",
            "Connecting to objects.githubusercontent.com (objects.githubusercontent.com)|185.199.108.133|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 725066984 (691M) [application/octet-stream]\n",
            "Saving to: ‘./checkpoints/SadTalker_V0.0.2_256.safetensors’\n",
            "\n",
            "./checkpoints/SadTa 100%[===================>] 691.48M   240MB/s    in 2.9s    \n",
            "\n",
            "2025-02-04 09:18:03 (240 MB/s) - ‘./checkpoints/SadTalker_V0.0.2_256.safetensors’ saved [725066984/725066984]\n",
            "\n",
            "--2025-02-04 09:18:03--  https://github.com/OpenTalker/SadTalker/releases/download/v0.0.2-rc/SadTalker_V0.0.2_512.safetensors\n",
            "Resolving github.com (github.com)... 20.205.243.166\n",
            "Connecting to github.com (github.com)|20.205.243.166|:443... connected.\n",
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            "Resolving objects.githubusercontent.com (objects.githubusercontent.com)... 185.199.109.133, 185.199.108.133, 185.199.110.133, ...\n",
            "Connecting to objects.githubusercontent.com (objects.githubusercontent.com)|185.199.109.133|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 725066984 (691M) [application/octet-stream]\n",
            "Saving to: ‘./checkpoints/SadTalker_V0.0.2_512.safetensors’\n",
            "\n",
            "./checkpoints/SadTa 100%[===================>] 691.48M  32.9MB/s    in 23s     \n",
            "\n",
            "2025-02-04 09:18:27 (29.7 MB/s) - ‘./checkpoints/SadTalker_V0.0.2_512.safetensors’ saved [725066984/725066984]\n",
            "\n",
            "--2025-02-04 09:18:27--  https://github.com/xinntao/facexlib/releases/download/v0.1.0/alignment_WFLW_4HG.pth\n",
            "Resolving github.com (github.com)... 20.205.243.166\n",
            "Connecting to github.com (github.com)|20.205.243.166|:443... connected.\n",
            "HTTP request sent, awaiting response... 302 Found\n",
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            "Resolving objects.githubusercontent.com (objects.githubusercontent.com)... 185.199.108.133, 185.199.109.133, 185.199.110.133, ...\n",
            "Connecting to objects.githubusercontent.com (objects.githubusercontent.com)|185.199.108.133|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 193670248 (185M) [application/octet-stream]\n",
            "Saving to: ‘./gfpgan/weights/alignment_WFLW_4HG.pth’\n",
            "\n",
            "./gfpgan/weights/al 100%[===================>] 184.70M   272MB/s    in 0.7s    \n",
            "\n",
            "2025-02-04 09:18:29 (272 MB/s) - ‘./gfpgan/weights/alignment_WFLW_4HG.pth’ saved [193670248/193670248]\n",
            "\n",
            "--2025-02-04 09:18:29--  https://github.com/xinntao/facexlib/releases/download/v0.1.0/detection_Resnet50_Final.pth\n",
            "Resolving github.com (github.com)... 20.205.243.166\n",
            "Connecting to github.com (github.com)|20.205.243.166|:443... connected.\n",
            "HTTP request sent, awaiting response... 302 Found\n",
            "Location: https://objects.githubusercontent.com/github-production-release-asset-2e65be/349361573/3ddec000-c7d2-11eb-9c28-fbfb8da09fb4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=releaseassetproduction%2F20250204%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20250204T091829Z&X-Amz-Expires=300&X-Amz-Signature=907c49493cbab466e4dbfca0f1cd109c5602be16aec07e521587da585693a766&X-Amz-SignedHeaders=host&response-content-disposition=attachment%3B%20filename%3Ddetection_Resnet50_Final.pth&response-content-type=application%2Foctet-stream [following]\n",
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            "Resolving objects.githubusercontent.com (objects.githubusercontent.com)... 185.199.111.133, 185.199.109.133, 185.199.110.133, ...\n",
            "Connecting to objects.githubusercontent.com (objects.githubusercontent.com)|185.199.111.133|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 109497761 (104M) [application/octet-stream]\n",
            "Saving to: ‘./gfpgan/weights/detection_Resnet50_Final.pth’\n",
            "\n",
            "./gfpgan/weights/de 100%[===================>] 104.42M   346MB/s    in 0.3s    \n",
            "\n",
            "2025-02-04 09:18:30 (346 MB/s) - ‘./gfpgan/weights/detection_Resnet50_Final.pth’ saved [109497761/109497761]\n",
            "\n",
            "--2025-02-04 09:18:30--  https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.4.pth\n",
            "Resolving github.com (github.com)... 20.205.243.166\n",
            "Connecting to github.com (github.com)|20.205.243.166|:443... connected.\n",
            "HTTP request sent, awaiting response... 302 Found\n",
            "Location: https://objects.githubusercontent.com/github-production-release-asset-2e65be/349321229/07e156ef-347d-4100-b171-ab8d02146c9d?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=releaseassetproduction%2F20250204%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20250204T091830Z&X-Amz-Expires=300&X-Amz-Signature=87b65f2af678acbf5a6f31682aa3137a1cb46fc34736b18a3801f2e8e572b2e9&X-Amz-SignedHeaders=host&response-content-disposition=attachment%3B%20filename%3DGFPGANv1.4.pth&response-content-type=application%2Foctet-stream [following]\n",
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            "Resolving objects.githubusercontent.com (objects.githubusercontent.com)... 185.199.110.133, 185.199.109.133, 185.199.108.133, ...\n",
            "Connecting to objects.githubusercontent.com (objects.githubusercontent.com)|185.199.110.133|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 348632874 (332M) [application/octet-stream]\n",
            "Saving to: ‘./gfpgan/weights/GFPGANv1.4.pth’\n",
            "\n",
            "./gfpgan/weights/GF 100%[===================>] 332.48M   276MB/s    in 1.2s    \n",
            "\n",
            "2025-02-04 09:18:33 (276 MB/s) - ‘./gfpgan/weights/GFPGANv1.4.pth’ saved [348632874/348632874]\n",
            "\n",
            "--2025-02-04 09:18:33--  https://github.com/xinntao/facexlib/releases/download/v0.2.2/parsing_parsenet.pth\n",
            "Resolving github.com (github.com)... 20.205.243.166\n",
            "Connecting to github.com (github.com)|20.205.243.166|:443... connected.\n",
            "HTTP request sent, awaiting response... 302 Found\n",
            "Location: https://objects.githubusercontent.com/github-production-release-asset-2e65be/349361573/92f7048d-a909-4e63-8b78-ea138db29987?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=releaseassetproduction%2F20250204%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20250204T091833Z&X-Amz-Expires=300&X-Amz-Signature=9419cbb7b499e085aeff11f82d172532df9abb8c6f70da436df00c795f0be20a&X-Amz-SignedHeaders=host&response-content-disposition=attachment%3B%20filename%3Dparsing_parsenet.pth&response-content-type=application%2Foctet-stream [following]\n",
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            "Resolving objects.githubusercontent.com (objects.githubusercontent.com)... 185.199.108.133, 185.199.109.133, 185.199.110.133, ...\n",
            "Connecting to objects.githubusercontent.com (objects.githubusercontent.com)|185.199.108.133|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 85331193 (81M) [application/octet-stream]\n",
            "Saving to: ‘./gfpgan/weights/parsing_parsenet.pth’\n",
            "\n",
            "./gfpgan/weights/pa 100%[===================>]  81.38M   147MB/s    in 0.6s    \n",
            "\n",
            "2025-02-04 09:18:35 (147 MB/s) - ‘./gfpgan/weights/parsing_parsenet.pth’ saved [85331193/85331193]\n",
            "\n"
          ]
        }
      ],
      "source": [
        "### Models used for lisyncing \n",
        "print('Download pre-trained models...')\n",
        "!rm -rf checkpoints\n",
        "!bash scripts/download_models.sh"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "btsViV3Pu_ls"
      },
      "outputs": [],
      "source": [
        "import requests\n",
        "import uuid\n",
        "import time\n",
        "from openai import OpenAI\n",
        "import json\n",
        "from gtts import gTTS\n",
        "import os\n",
        "\n",
        "client = OpenAI(api_key=\"openai-key\")\n",
        "\n",
        "def get_prompt_for_image(characterstics):\n",
        "    \"\"\"Function to get the prompt for an Image.\n",
        "\n",
        "    parameters:\n",
        "    characterstics (str): Characterstics of the person for the image.\n",
        "\n",
        "    return:\n",
        "    str: Prompt for the image of the person.\n",
        "    \"\"\"\n",
        "\n",
        "    prompt = f\"\"\"Given below are some characterstics of a person for a single scene in a video, give output a prompt for image generating model to generate a image of the person based on the given characerstics.\n",
        "\n",
        "    Below are some guidelines for the image:\n",
        "    A realistic human face, taken from the front.The person should look directly at the camera.Maintain a relaxed expression with a neutral or natural smile.Center the head and shoulders in the frame.Use a simple background with natural or soft lighting.Avoid the following: Cartoonish or non-human elements.Facing the camera sideways or positioning too close/far.Overexposed, underexposed, or harsh shadows.Moving objects such as animals or people in the background.\n",
        "\n",
        "    Strictly give output in json format as below\n",
        "\n",
        "    Output:\n",
        "    {{\"prompt\": output_prompt}}\n",
        "\n",
        "    Characterstics:\n",
        "    {characterstics}\n",
        "\n",
        "\"\"\"\n",
        "\n",
        "    chat_completion = client.chat.completions.create(\n",
        "        messages=[\n",
        "            {\n",
        "                \"role\": \"user\",\n",
        "                \"content\": prompt,\n",
        "            }\n",
        "        ],\n",
        "        model=\"gpt-4o-mini\",\n",
        "        temperature=0.5,\n",
        "    )\n",
        "    data = chat_completion.choices[0].message.content\n",
        "    try:\n",
        "        data = json.loads(data)\n",
        "    except Exception as e:\n",
        "        print(\"Error get youtube metadata\", e, data)\n",
        "        data = data.split('```json')[1].split('```')[0].replace('\\n', '')\n",
        "        data = json.loads(data)\n",
        "\n",
        "    return data[\"prompt\"]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 86,
          "referenced_widgets": [
            "e57d02e569fb402db894ebcd5933d590",
            "bcd56dff328d4c6b9a03d991d0229e37",
            "dbaac21258ef40d7a3434342c8c2c150",
            "cc999163916d46dbb0a8e728413e9a7d",
            "fb349170a3bb4cb2b0567f1a5cd4a336",
            "e614ffd56dd0464980d2a03e390bcbdc",
            "4e43bb68e3f44e65a550bce63167e001",
            "306870d30e3241efae5d1608d6ca5dc8",
            "7dd272b4fc924ae4b468de8ade920b36",
            "f403b3fa9e724125ae7ef8bf611f6195",
            "4bc93e56953642be9e72eb1ae0e6a69f"
          ]
        },
        "id": "VPtjsw66vBZt",
        "outputId": "aae348bc-6fd1-4bf3-d7e3-9c9f02029cc5"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "The cache for model files in Transformers v4.22.0 has been updated. Migrating your old cache. This is a one-time only operation. You can interrupt this and resume the migration later on by calling `transformers.utils.move_cache()`.\n"
          ]
        },
        {
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "e57d02e569fb402db894ebcd5933d590",
              "version_major": 2,
              "version_minor": 0
            },
            "text/plain": [
              "0it [00:00, ?it/s]"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "from diffusers import DiffusionPipeline\n",
        "\n",
        "def generate_avatar_image(image_prompt):\n",
        "  \"\"\"Function to generate avatar image\n",
        "\n",
        "  parameters:\n",
        "  image_prompt (str): prompt to generate avatar image\n",
        "\n",
        "  returns:\n",
        "  image_path (str): path to the generated avatar image\n",
        "  \"\"\"\n",
        "  \n",
        "  pipe = DiffusionPipeline.from_pretrained(\"stabilityai/stable-diffusion-2-1\").to(\"cuda\")\n",
        "  image = pipe(image_prompt).images[0]\n",
        "  print(image)\n",
        "  image_path = \"examples/source_image/generated_image.png\"\n",
        "  image.save(image_path)\n",
        "\n",
        "  return image_path"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "_Jdc_RPLvDVc"
      },
      "outputs": [],
      "source": [
        "from gtts import gTTS\n",
        "import os\n",
        "\n",
        "def generate_voiceover(text, filename):\n",
        "    \"\"\"Function to generate the voiceover using gTTS\n",
        "\n",
        "    parameters:\n",
        "    text (str): the script text for which voiceover needs to be generated\n",
        "    filename (str): name of the file with which voiceover will be saved\n",
        "\n",
        "    \"\"\"\n",
        "\n",
        "    tts = gTTS(text)\n",
        "    tts.save(\"temp.mp3\")\n",
        "    os.system(f\"ffmpeg -i temp.mp3 -ar 16000 -ac 1 {filename}\")\n",
        "    os.remove(\"temp.mp3\")\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "heh4KnDovEIh"
      },
      "outputs": [],
      "source": [
        "# selected audio from exmaple/driven_audio\n",
        "from IPython.display import HTML\n",
        "from base64 import b64encode\n",
        "import os, sys\n",
        "import glob\n",
        "def create_ai_influencer(image_path,audio_path):\n",
        "  \"\"\"Function to create ai influencer video using image and voiceover\n",
        "\n",
        "  parameters:\n",
        "  image_path (str): path to the image file generated\n",
        "  audio_path (str): path to the audio file generated\n",
        "\n",
        "  returns:\n",
        "  results (list): list of geenrated files in the directory\n",
        "  \"\"\"\n",
        "  !python3.8 inference.py --driven_audio {audio_path} --source_image {image_path} --result_dir ./results --still --preprocess full --enhancer gfpgan\n",
        "\n",
        "  results = sorted(os.listdir('./results/'))\n",
        "  return results\n",
        "\n",
        "\n"
      ]
    },
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        "id": "v5bP78MxvG_q",
        "outputId": "144942f1-9a1c-4b95-ce2e-f3c771ef7b53"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Error get youtube metadata Expecting value: line 1 column 1 (char 0) ```json\n",
            "{\"prompt\": \"A realistic human male of European descent, wearing stylish glasses and a leather jacket, with a relaxed expression and a natural smile. The image is taken from the front, with the head and shoulders centered in the frame. The background is simple and features soft, natural lighting, ensuring no harsh shadows or distractions. The focus is solely on the individual, avoiding any cartoonish or non-human elements.\"}\n",
            "```\n",
            "Image prompt: A realistic human male of European descent, wearing stylish glasses and a leather jacket, with a relaxed expression and a natural smile. The image is taken from the front, with the head and shoulders centered in the frame. The background is simple and features soft, natural lighting, ensuring no harsh shadows or distractions. The focus is solely on the individual, avoiding any cartoonish or non-human elements.\n"
          ]
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.11/dist-packages/huggingface_hub/utils/_auth.py:94: UserWarning: \n",
            "The secret `HF_TOKEN` does not exist in your Colab secrets.\n",
            "To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n",
            "You will be able to reuse this secret in all of your notebooks.\n",
            "Please note that authentication is recommended but still optional to access public models or datasets.\n",
            "  warnings.warn(\n"
          ]
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          "metadata": {},
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        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "Token indices sequence length is longer than the specified maximum sequence length for this model (82 > 77). Running this sequence through the model will result in indexing errors\n",
            "The following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['non - human elements .']\n"
          ]
        },
        {
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        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "<PIL.Image.Image image mode=RGB size=768x768 at 0x799DC5F7C190>\n",
            "avatar_image_url: examples/source_image/generated_image.png\n",
            "examples/source_image/generated_image.png\n",
            "using safetensor as default\n",
            "3DMM Extraction for source image\n",
            "landmark Det:: 100% 1/1 [00:00<00:00, 14.11it/s]\n",
            "3DMM Extraction In Video:: 100% 1/1 [00:00<00:00, 18.51it/s]\n",
            "mel:: 100% 1328/1328 [00:00<00:00, 43898.99it/s]\n",
            "audio2exp:: 100% 133/133 [00:00<00:00, 376.81it/s]\n",
            "Face Renderer:: 100% 664/664 [06:58<00:00,  1.59it/s]\n",
            "The generated video is named ./results/2025_02_04_09.21.14/full_body_1##audio.mp4\n",
            "OpenCV: FFMPEG: tag 0x5634504d/'MP4V' is not supported with codec id 12 and format 'mp4 / MP4 (MPEG-4 Part 14)'\n",
            "OpenCV: FFMPEG: fallback to use tag 0x7634706d/'mp4v'\n",
            "seamlessClone:: 100% 1328/1328 [03:15<00:00,  6.79it/s]\n",
            "The generated video is named ./results/2025_02_04_09.21.14/full_body_1##audio_full.mp4\n",
            "face enhancer....\n",
            "Face Enhancer:: 100% 1328/1328 [21:23<00:00,  1.03it/s]\n",
            "The generated video is named ./results/2025_02_04_09.21.14/full_body_1##audio_enhanced.mp4\n",
            "The generated video is named: ./results/2025_02_04_09.21.14.mp4\n",
            "['2025_02_04_09.21.14.mp4']\n",
            "['2025_02_04_09.21.14.mp4']\n"
          ]
        }
      ],
      "source": [
        "def init(avatar_details, script):\n",
        "\n",
        "    \"\"\"Function to generate ai influencer videos by first generating the avatar image using\n",
        "    the prompt and the characterstics and then generating the voiceover using script.\n",
        "    With these generated image and voiceover, AI influencer video is generated.\n",
        "\n",
        "    parameters:\n",
        "    avatar_details (dict) : characterstics of the avatar\n",
        "    script (str) : script to generate the voiceover\n",
        "\n",
        "    returns:\n",
        "    res (list) : list of the generated files in the folder\n",
        "    \"\"\"\n",
        "    characterstics = avatar_details.get('characterstics')\n",
        "    prompt = get_prompt_for_image(characterstics)\n",
        "    print(\"Image prompt: \" + prompt)\n",
        "    avatar_image_url = generate_avatar_image(prompt)\n",
        "    print(\"avatar_image_url: \" + avatar_image_url)\n",
        "    voice_path = \"examples/driven_audio/audio.wav\"\n",
        "    generate_voiceover(script,voice_path)\n",
        "\n",
        "    res = create_ai_influencer(avatar_image_url,voice_path)\n",
        "    print(res)\n",
        "\n",
        "\n",
        "### Init function to generate the Influencer video\n",
        "init({'characterstics':'male European, wearing glasses and leather jacket with a smile on face'}, \"Our planet is a masterpiece of life, a delicate balance of ecosystems. But this harmony is under threat.Every year, 8 million tons of plastic enter our oceans, choking marine life. Forests, the lungs of our planet, are disappearing at an alarming rate. Climate change fuels disasters, from rising seas to devastating wildfires.But there is hope. Across the globe, people are rising to the challenge. Simple actions—reducing waste, conserving energy, and protecting wildlife—can make a difference.The future of our planet is in our hands. Together, we can turn the tide and protect our only home. Act now, because every choice matters.\")\n"
      ]
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