tutorial-2.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "gpuType": "V100"
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "# Setup environment"
      ],
      "metadata": {
        "id": "HNcsz0DzGFuq"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# install openslide dependencies\n",
        "!sudo apt-get install openslide-tools\n",
        "!sudo apt-get install python-openslide\n",
        "!pip install openslide-python"
      ],
      "metadata": {
        "id": "ADo3Kvc5tvM7",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "6f03f17c-0ad3-4bbf-a246-43f84b571d65"
      },
      "execution_count": 1,
      "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",
            "  libopenslide0\n",
            "Suggested packages:\n",
            "  libtiff-tools\n",
            "The following NEW packages will be installed:\n",
            "  libopenslide0 openslide-tools\n",
            "0 upgraded, 2 newly installed, 0 to remove and 38 not upgraded.\n",
            "Need to get 104 kB of archives.\n",
            "After this operation, 297 kB of additional disk space will be used.\n",
            "Get:1 http://archive.ubuntu.com/ubuntu jammy/universe amd64 libopenslide0 amd64 3.4.1+dfsg-5build1 [89.8 kB]\n",
            "Get:2 http://archive.ubuntu.com/ubuntu jammy/universe amd64 openslide-tools amd64 3.4.1+dfsg-5build1 [13.8 kB]\n",
            "Fetched 104 kB in 1s (129 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 2.)\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 libopenslide0.\n",
            "(Reading database ... 121752 files and directories currently installed.)\n",
            "Preparing to unpack .../libopenslide0_3.4.1+dfsg-5build1_amd64.deb ...\n",
            "Unpacking libopenslide0 (3.4.1+dfsg-5build1) ...\n",
            "Selecting previously unselected package openslide-tools.\n",
            "Preparing to unpack .../openslide-tools_3.4.1+dfsg-5build1_amd64.deb ...\n",
            "Unpacking openslide-tools (3.4.1+dfsg-5build1) ...\n",
            "Setting up libopenslide0 (3.4.1+dfsg-5build1) ...\n",
            "Setting up openslide-tools (3.4.1+dfsg-5build1) ...\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/libtbbbind_2_0.so.3 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/libtbbbind_2_5.so.3 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/libtbbmalloc_proxy.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",
            "Reading package lists... Done\n",
            "Building dependency tree... Done\n",
            "Reading state information... Done\n",
            "E: Unable to locate package python-openslide\n",
            "Collecting openslide-python\n",
            "  Downloading openslide-python-1.3.1.tar.gz (358 kB)\n",
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            "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "Requirement already satisfied: Pillow in /usr/local/lib/python3.10/dist-packages (from openslide-python) (9.4.0)\n",
            "Building wheels for collected packages: openslide-python\n",
            "  Building wheel for openslide-python (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for openslide-python: filename=openslide_python-1.3.1-cp310-cp310-linux_x86_64.whl size=33546 sha256=55ee89860402631fa4f859eacf5928b9437a1bf7038aa458b51a05faf2db713f\n",
            "  Stored in directory: /root/.cache/pip/wheels/79/79/fa/29a0087493c69dff7fd0b70fab5d6771002a531010161d2d97\n",
            "Successfully built openslide-python\n",
            "Installing collected packages: openslide-python\n",
            "Successfully installed openslide-python-1.3.1\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "yYnndg378hGy",
        "outputId": "e57d7678-aa3c-478c-a3ec-d504dd0192c4"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
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            "  Downloading nvidia_nvjitlink_cu12-12.4.99-py3-none-manylinux2014_x86_64.whl (21.1 MB)\n",
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            "\u001b[?25hRequirement already satisfied: huggingface-hub<1.0,>=0.19.3 in /usr/local/lib/python3.10/dist-packages (from transformers>=4.37.2->histogpt==1.1.1) (0.20.3)\n",
            "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from transformers>=4.37.2->histogpt==1.1.1) (24.0)\n",
            "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from transformers>=4.37.2->histogpt==1.1.1) (6.0.1)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from transformers>=4.37.2->histogpt==1.1.1) (2.31.0)\n",
            "Requirement already satisfied: tokenizers<0.19,>=0.14 in /usr/local/lib/python3.10/dist-packages (from transformers>=4.37.2->histogpt==1.1.1) (0.15.2)\n",
            "Requirement already satisfied: safetensors>=0.4.1 in /usr/local/lib/python3.10/dist-packages (from transformers>=4.37.2->histogpt==1.1.1) (0.4.2)\n",
            "Requirement already satisfied: idna>=2.8 in /usr/local/lib/python3.10/dist-packages (from anyio<5,>=3.5.0->openai>=1.14.0->histogpt==1.1.1) (3.6)\n",
            "Requirement already satisfied: exceptiongroup in /usr/local/lib/python3.10/dist-packages (from anyio<5,>=3.5.0->openai>=1.14.0->histogpt==1.1.1) (1.2.0)\n",
            "Requirement already satisfied: certifi in /usr/local/lib/python3.10/dist-packages (from httpx<1,>=0.23.0->openai>=1.14.0->histogpt==1.1.1) (2024.2.2)\n",
            "Collecting httpcore==1.* (from httpx<1,>=0.23.0->openai>=1.14.0->histogpt==1.1.1)\n",
            "  Downloading httpcore-1.0.4-py3-none-any.whl (77 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m77.8/77.8 kB\u001b[0m \u001b[31m2.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting h11<0.15,>=0.13 (from httpcore==1.*->httpx<1,>=0.23.0->openai>=1.14.0->histogpt==1.1.1)\n",
            "  Downloading h11-0.14.0-py3-none-any.whl (58 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m58.3/58.3 kB\u001b[0m \u001b[31m2.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: annotated-types>=0.4.0 in /usr/local/lib/python3.10/dist-packages (from pydantic<3,>=1.9.0->openai>=1.14.0->histogpt==1.1.1) (0.6.0)\n",
            "Requirement already satisfied: pydantic-core==2.16.3 in /usr/local/lib/python3.10/dist-packages (from pydantic<3,>=1.9.0->openai>=1.14.0->histogpt==1.1.1) (2.16.3)\n",
            "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch>=2.1.0->histogpt==1.1.1) (2.1.5)\n",
            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->transformers>=4.37.2->histogpt==1.1.1) (3.3.2)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->transformers>=4.37.2->histogpt==1.1.1) (2.0.7)\n",
            "Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy->torch>=2.1.0->histogpt==1.1.1) (1.3.0)\n",
            "Building wheels for collected packages: histogpt\n",
            "  Building wheel for histogpt (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for histogpt: filename=histogpt-1.1.1-py3-none-any.whl size=70192 sha256=58faf45a6567ecde598ff69334f8ec06ca421d7df0fb25ce70230a99e072f3be\n",
            "  Stored in directory: /tmp/pip-ephem-wheel-cache-7dga_djn/wheels/a2/47/2f/d3a5aa5afacbfb84505dcb1a968bd0f8197ff54672d7e34250\n",
            "Successfully built histogpt\n",
            "Installing collected packages: slideio, sacremoses, nvidia-nvtx-cu12, nvidia-nvjitlink-cu12, nvidia-nccl-cu12, nvidia-curand-cu12, nvidia-cufft-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, h11, einops, nvidia-cusparse-cu12, nvidia-cudnn-cu12, httpcore, einops-exts, nvidia-cusolver-cu12, httpx, openai, histogpt\n",
            "Successfully installed einops-0.7.0 einops-exts-0.0.4 h11-0.14.0 histogpt-1.1.1 httpcore-1.0.4 httpx-0.27.0 nvidia-cublas-cu12-12.1.3.1 nvidia-cuda-cupti-cu12-12.1.105 nvidia-cuda-nvrtc-cu12-12.1.105 nvidia-cuda-runtime-cu12-12.1.105 nvidia-cudnn-cu12-8.9.2.26 nvidia-cufft-cu12-11.0.2.54 nvidia-curand-cu12-10.3.2.106 nvidia-cusolver-cu12-11.4.5.107 nvidia-cusparse-cu12-12.1.0.106 nvidia-nccl-cu12-2.19.3 nvidia-nvjitlink-cu12-12.4.99 nvidia-nvtx-cu12-12.1.105 openai-1.14.1 sacremoses-0.1.1 slideio-2.5.0\n"
          ]
        }
      ],
      "source": [
        "# install flamingo and histogpt\n",
        "!pip install flamingo-pytorch --no-deps\n",
        "!pip install git+https:/marrlab/HistoGPT"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# check whether to use a gpu or cpu\n",
        "import torch\n",
        "\n",
        "device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')\n",
        "print(device)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wKuH-u8KHDYX",
        "outputId": "9a30cb7b-abb4-4e7e-e1c5-4c4d7058a8a6"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "cuda\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Download model"
      ],
      "metadata": {
        "id": "ziXj33E5GuCq"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Here we use the small version of HistoGPT. To load the larger model, please see the first tutorial!"
      ],
      "metadata": {
        "id": "xBXB9DHkPf0b"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# download histogpt weights\n",
        "!wget https://huggingface.co/marr-peng-lab/histogpt/resolve/main/histogpt-1b-6k-pruned.pth?download=true"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "RGt2WKLUH7GP",
        "outputId": "db73d4d8-de21-4d6f-93e3-2ef992897e31"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "--2024-03-18 15:57:15--  https://huggingface.co/marr-peng-lab/histogpt/resolve/main/histogpt-1b-6k-pruned.pth?download=true\n",
            "Resolving huggingface.co (huggingface.co)... 18.172.134.124, 18.172.134.88, 18.172.134.4, ...\n",
            "Connecting to huggingface.co (huggingface.co)|18.172.134.124|:443... connected.\n",
            "HTTP request sent, awaiting response... 302 Found\n",
            "Location: https://cdn-lfs-us-1.huggingface.co/repos/f6/8f/f68faf0906e39e8c3590cdbdd523457dc01bcea2a52d9de48cd7b06821eaac6a/16835f1069ffcfb5b379f3d1423fbf3d99a679d1b426e7b28c4604c8e1cd6956?response-content-disposition=attachment%3B+filename*%3DUTF-8%27%27histogpt-1b-6k-pruned.pth%3B+filename%3D%22histogpt-1b-6k-pruned.pth%22%3B&Expires=1711036635&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTcxMTAzNjYzNX19LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy11cy0xLmh1Z2dpbmdmYWNlLmNvL3JlcG9zL2Y2LzhmL2Y2OGZhZjA5MDZlMzllOGMzNTkwY2RiZGQ1MjM0NTdkYzAxYmNlYTJhNTJkOWRlNDhjZDdiMDY4MjFlYWFjNmEvMTY4MzVmMTA2OWZmY2ZiNWIzNzlmM2QxNDIzZmJmM2Q5OWE2NzlkMWI0MjZlN2IyOGM0NjA0YzhlMWNkNjk1Nj9yZXNwb25zZS1jb250ZW50LWRpc3Bvc2l0aW9uPSoifV19&Signature=QM3fUBYAZ3bwh%7ECcCf2zBlbVprOhVqumLM-Fo7%7EnibZx7a6RKoBMHQh9%7Ee4Cey8ugqi2Hzo0NGDZZK44c8mrQMVlGp216anQu62hSv9DLrik0cG%7E3Q7TBMR6tZ2PnFA2ipnDC%7EZs3mXIcTiBcV5PLuachptgpFkMvOwJWN4je6c0ERtPEQZNPbsFHfyIbTm-Y6FZcq3l0Qrwgp4IzvV06ZkTlYEGAMhit6wL8VtC02r-Bw3IIu%7EY4Vq4D5fZq2fevYT2D57LJ2paQZOeC243Rs5KsV2HL1gpEhwvkn2JSugdKrYbdFFRzd4FhxzpU-nUEZyjGIBNGUZFQeS-S4tG%7Ew__&Key-Pair-Id=KCD77M1F0VK2B [following]\n",
            "--2024-03-18 15:57:15--  https://cdn-lfs-us-1.huggingface.co/repos/f6/8f/f68faf0906e39e8c3590cdbdd523457dc01bcea2a52d9de48cd7b06821eaac6a/16835f1069ffcfb5b379f3d1423fbf3d99a679d1b426e7b28c4604c8e1cd6956?response-content-disposition=attachment%3B+filename*%3DUTF-8%27%27histogpt-1b-6k-pruned.pth%3B+filename%3D%22histogpt-1b-6k-pruned.pth%22%3B&Expires=1711036635&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTcxMTAzNjYzNX19LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy11cy0xLmh1Z2dpbmdmYWNlLmNvL3JlcG9zL2Y2LzhmL2Y2OGZhZjA5MDZlMzllOGMzNTkwY2RiZGQ1MjM0NTdkYzAxYmNlYTJhNTJkOWRlNDhjZDdiMDY4MjFlYWFjNmEvMTY4MzVmMTA2OWZmY2ZiNWIzNzlmM2QxNDIzZmJmM2Q5OWE2NzlkMWI0MjZlN2IyOGM0NjA0YzhlMWNkNjk1Nj9yZXNwb25zZS1jb250ZW50LWRpc3Bvc2l0aW9uPSoifV19&Signature=QM3fUBYAZ3bwh%7ECcCf2zBlbVprOhVqumLM-Fo7%7EnibZx7a6RKoBMHQh9%7Ee4Cey8ugqi2Hzo0NGDZZK44c8mrQMVlGp216anQu62hSv9DLrik0cG%7E3Q7TBMR6tZ2PnFA2ipnDC%7EZs3mXIcTiBcV5PLuachptgpFkMvOwJWN4je6c0ERtPEQZNPbsFHfyIbTm-Y6FZcq3l0Qrwgp4IzvV06ZkTlYEGAMhit6wL8VtC02r-Bw3IIu%7EY4Vq4D5fZq2fevYT2D57LJ2paQZOeC243Rs5KsV2HL1gpEhwvkn2JSugdKrYbdFFRzd4FhxzpU-nUEZyjGIBNGUZFQeS-S4tG%7Ew__&Key-Pair-Id=KCD77M1F0VK2B\n",
            "Resolving cdn-lfs-us-1.huggingface.co (cdn-lfs-us-1.huggingface.co)... 108.156.107.80, 108.156.107.29, 108.156.107.49, ...\n",
            "Connecting to cdn-lfs-us-1.huggingface.co (cdn-lfs-us-1.huggingface.co)|108.156.107.80|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 3463908902 (3.2G) [binary/octet-stream]\n",
            "Saving to: ‘histogpt-1b-6k-pruned.pth?download=true’\n",
            "\n",
            "histogpt-1b-6k-prun 100%[===================>]   3.23G   227MB/s    in 22s     \n",
            "\n",
            "2024-03-18 15:57:38 (148 MB/s) - ‘histogpt-1b-6k-pruned.pth?download=true’ saved [3463908902/3463908902]\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# download ctranspath weights\n",
        "!wget https://huggingface.co/marr-peng-lab/histogpt/resolve/main/ctranspath.pth?download=true"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "QccKDYWRbekV",
        "outputId": "8c3130b1-f483-4d54-c378-b998c936bca6"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "--2024-03-18 15:57:38--  https://huggingface.co/marr-peng-lab/histogpt/resolve/main/ctranspath.pth?download=true\n",
            "Resolving huggingface.co (huggingface.co)... 18.172.134.124, 18.172.134.88, 18.172.134.4, ...\n",
            "Connecting to huggingface.co (huggingface.co)|18.172.134.124|:443... connected.\n",
            "HTTP request sent, awaiting response... 302 Found\n",
            "Location: https://cdn-lfs-us-1.huggingface.co/repos/f6/8f/f68faf0906e39e8c3590cdbdd523457dc01bcea2a52d9de48cd7b06821eaac6a/7c998680060c8743551a412583fac689db43cec07053b72dfec6dcd810113539?response-content-disposition=attachment%3B+filename*%3DUTF-8%27%27ctranspath.pth%3B+filename%3D%22ctranspath.pth%22%3B&Expires=1711036658&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTcxMTAzNjY1OH19LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy11cy0xLmh1Z2dpbmdmYWNlLmNvL3JlcG9zL2Y2LzhmL2Y2OGZhZjA5MDZlMzllOGMzNTkwY2RiZGQ1MjM0NTdkYzAxYmNlYTJhNTJkOWRlNDhjZDdiMDY4MjFlYWFjNmEvN2M5OTg2ODAwNjBjODc0MzU1MWE0MTI1ODNmYWM2ODlkYjQzY2VjMDcwNTNiNzJkZmVjNmRjZDgxMDExMzUzOT9yZXNwb25zZS1jb250ZW50LWRpc3Bvc2l0aW9uPSoifV19&Signature=ktOpiVVehH9b6f-8h8D8p3zdYTZ6hJQyNt-lUvmyoZPiGTauIFT05loH0z4ZLi9kb5t5n4Q5Jsk81Wl03sI2stC%7EsfiVeGXFJtmz%7EIkbaQopbmnOcBh0wez-OxyukJhwYIDN0iQj8lUCmKUL7rAtvfeazknUQsEesPE8911QVdj9zwVVRd-XvD8ARzrFHtKsKtrbYf46hTBByFnQ8%7EY6Onl3X1XCVterMNEPmhp6NS5GEsiuACF4H3gRHzXJQ-fzFA-KC8yzhHZe%7EPeWv34gGCtFYpTeRY%7EZJw6dQ2rljOHkxmpjcxEGLxm9U25OhiUIznK2Hz-RQmbVhg3BEuJ0YA__&Key-Pair-Id=KCD77M1F0VK2B [following]\n",
            "--2024-03-18 15:57:38--  https://cdn-lfs-us-1.huggingface.co/repos/f6/8f/f68faf0906e39e8c3590cdbdd523457dc01bcea2a52d9de48cd7b06821eaac6a/7c998680060c8743551a412583fac689db43cec07053b72dfec6dcd810113539?response-content-disposition=attachment%3B+filename*%3DUTF-8%27%27ctranspath.pth%3B+filename%3D%22ctranspath.pth%22%3B&Expires=1711036658&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTcxMTAzNjY1OH19LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy11cy0xLmh1Z2dpbmdmYWNlLmNvL3JlcG9zL2Y2LzhmL2Y2OGZhZjA5MDZlMzllOGMzNTkwY2RiZGQ1MjM0NTdkYzAxYmNlYTJhNTJkOWRlNDhjZDdiMDY4MjFlYWFjNmEvN2M5OTg2ODAwNjBjODc0MzU1MWE0MTI1ODNmYWM2ODlkYjQzY2VjMDcwNTNiNzJkZmVjNmRjZDgxMDExMzUzOT9yZXNwb25zZS1jb250ZW50LWRpc3Bvc2l0aW9uPSoifV19&Signature=ktOpiVVehH9b6f-8h8D8p3zdYTZ6hJQyNt-lUvmyoZPiGTauIFT05loH0z4ZLi9kb5t5n4Q5Jsk81Wl03sI2stC%7EsfiVeGXFJtmz%7EIkbaQopbmnOcBh0wez-OxyukJhwYIDN0iQj8lUCmKUL7rAtvfeazknUQsEesPE8911QVdj9zwVVRd-XvD8ARzrFHtKsKtrbYf46hTBByFnQ8%7EY6Onl3X1XCVterMNEPmhp6NS5GEsiuACF4H3gRHzXJQ-fzFA-KC8yzhHZe%7EPeWv34gGCtFYpTeRY%7EZJw6dQ2rljOHkxmpjcxEGLxm9U25OhiUIznK2Hz-RQmbVhg3BEuJ0YA__&Key-Pair-Id=KCD77M1F0VK2B\n",
            "Resolving cdn-lfs-us-1.huggingface.co (cdn-lfs-us-1.huggingface.co)... 108.156.107.80, 108.156.107.29, 108.156.107.49, ...\n",
            "Connecting to cdn-lfs-us-1.huggingface.co (cdn-lfs-us-1.huggingface.co)|108.156.107.80|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 111292151 (106M) [binary/octet-stream]\n",
            "Saving to: ‘ctranspath.pth?download=true’\n",
            "\n",
            "ctranspath.pth?down 100%[===================>] 106.14M   158MB/s    in 0.7s    \n",
            "\n",
            "2024-03-18 15:57:39 (158 MB/s) - ‘ctranspath.pth?download=true’ saved [111292151/111292151]\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Extract features"
      ],
      "metadata": {
        "id": "lvSqeS98NMxt"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# download example slide\n",
        "!wget https://huggingface.co/marr-peng-lab/histogpt/resolve/main/2023-03-06%2023.51.44.ndpi?download=true"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "pJq2_8dfVXRG",
        "outputId": "a395b6a7-b440-4fa3-c071-df1d05d1688d"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "--2024-03-18 15:57:55--  https://huggingface.co/marr-peng-lab/histogpt/resolve/main/2023-03-06%2023.51.44.ndpi?download=true\n",
            "Resolving huggingface.co (huggingface.co)... 18.172.134.4, 18.172.134.24, 18.172.134.88, ...\n",
            "Connecting to huggingface.co (huggingface.co)|18.172.134.4|:443... connected.\n",
            "HTTP request sent, awaiting response... 302 Found\n",
            "Location: https://cdn-lfs-us-1.huggingface.co/repos/f6/8f/f68faf0906e39e8c3590cdbdd523457dc01bcea2a52d9de48cd7b06821eaac6a/0e1fad3c726e6e12d362f40f694adb76b8b293dd3a2f35e7a07305cb574cb2ca?response-content-disposition=attachment%3B+filename*%3DUTF-8%27%272023-03-06%252023.51.44.ndpi%3B+filename%3D%222023-03-06+23.51.44.ndpi%22%3B&Expires=1711036675&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTcxMTAzNjY3NX19LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy11cy0xLmh1Z2dpbmdmYWNlLmNvL3JlcG9zL2Y2LzhmL2Y2OGZhZjA5MDZlMzllOGMzNTkwY2RiZGQ1MjM0NTdkYzAxYmNlYTJhNTJkOWRlNDhjZDdiMDY4MjFlYWFjNmEvMGUxZmFkM2M3MjZlNmUxMmQzNjJmNDBmNjk0YWRiNzZiOGIyOTNkZDNhMmYzNWU3YTA3MzA1Y2I1NzRjYjJjYT9yZXNwb25zZS1jb250ZW50LWRpc3Bvc2l0aW9uPSoifV19&Signature=cQIhu0RlirFXBsodx6CEB7%7E99QsYqjsUj19G7C6B76750hBh3-oTAfk%7EZD8ieLW7T%7EFF2B7Axpij7og3%7EZIdnVUSPX6st-A1RJly%7EnSiA-rxwG9sOh981HAmPeS1slUfiO46%7EDqbyOzwwZJ1cCaayy8L-BQWu0GNE3G7oqPfszTdlaSbNQgluY6OYxB0SnNseon2zk37oWxIm995o9bgjJ2iZk3SnXiJ74ts4E51PyHt5UATaRp8nkePYm9D3xyrdQBYTdv4o1RRGci8GPnIzR9CqrofOqRiHxkJHnQbCaBPxUdARfRqzqEqhAASKYF1361jToulBXWWRWIpMALZKA__&Key-Pair-Id=KCD77M1F0VK2B [following]\n",
            "--2024-03-18 15:57:55--  https://cdn-lfs-us-1.huggingface.co/repos/f6/8f/f68faf0906e39e8c3590cdbdd523457dc01bcea2a52d9de48cd7b06821eaac6a/0e1fad3c726e6e12d362f40f694adb76b8b293dd3a2f35e7a07305cb574cb2ca?response-content-disposition=attachment%3B+filename*%3DUTF-8%27%272023-03-06%252023.51.44.ndpi%3B+filename%3D%222023-03-06+23.51.44.ndpi%22%3B&Expires=1711036675&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTcxMTAzNjY3NX19LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy11cy0xLmh1Z2dpbmdmYWNlLmNvL3JlcG9zL2Y2LzhmL2Y2OGZhZjA5MDZlMzllOGMzNTkwY2RiZGQ1MjM0NTdkYzAxYmNlYTJhNTJkOWRlNDhjZDdiMDY4MjFlYWFjNmEvMGUxZmFkM2M3MjZlNmUxMmQzNjJmNDBmNjk0YWRiNzZiOGIyOTNkZDNhMmYzNWU3YTA3MzA1Y2I1NzRjYjJjYT9yZXNwb25zZS1jb250ZW50LWRpc3Bvc2l0aW9uPSoifV19&Signature=cQIhu0RlirFXBsodx6CEB7%7E99QsYqjsUj19G7C6B76750hBh3-oTAfk%7EZD8ieLW7T%7EFF2B7Axpij7og3%7EZIdnVUSPX6st-A1RJly%7EnSiA-rxwG9sOh981HAmPeS1slUfiO46%7EDqbyOzwwZJ1cCaayy8L-BQWu0GNE3G7oqPfszTdlaSbNQgluY6OYxB0SnNseon2zk37oWxIm995o9bgjJ2iZk3SnXiJ74ts4E51PyHt5UATaRp8nkePYm9D3xyrdQBYTdv4o1RRGci8GPnIzR9CqrofOqRiHxkJHnQbCaBPxUdARfRqzqEqhAASKYF1361jToulBXWWRWIpMALZKA__&Key-Pair-Id=KCD77M1F0VK2B\n",
            "Resolving cdn-lfs-us-1.huggingface.co (cdn-lfs-us-1.huggingface.co)... 108.156.107.80, 108.156.107.44, 108.156.107.49, ...\n",
            "Connecting to cdn-lfs-us-1.huggingface.co (cdn-lfs-us-1.huggingface.co)|108.156.107.80|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 1606485263 (1.5G) [binary/octet-stream]\n",
            "Saving to: ‘2023-03-06 23.51.44.ndpi?download=true’\n",
            "\n",
            "2023-03-06 23.51.44 100%[===================>]   1.50G   226MB/s    in 10s     \n",
            "\n",
            "2024-03-18 15:58:05 (152 MB/s) - ‘2023-03-06 23.51.44.ndpi?download=true’ saved [1606485263/1606485263]\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# patch and extract features\n",
        "import os\n",
        "import shutil\n",
        "from histogpt.helpers.patching import main, PatchingConfigs\n",
        "\n",
        "try:\n",
        "  os.mkdir('/content/slide_folder')\n",
        "  os.mkdir('/content/save_folder')\n",
        "  shutil.move(\"/content/2023-03-06 23.51.44.ndpi?download=true\", \"/content/slide_folder/2023-03-06 23.51.44.ndpi\")\n",
        "except Exception:\n",
        "  pass\n",
        "\n",
        "configs = PatchingConfigs()\n",
        "configs.slide_path = '/content/slide_folder'\n",
        "configs.save_path = '/content/save_folder'\n",
        "configs.model_path = '/content/ctranspath.pth?download=true'\n",
        "configs.patch_size = 256\n",
        "configs.white_thresh = [170, 185, 175]\n",
        "configs.edge_threshold = 2\n",
        "configs.resolution_in_mpp = 0.0\n",
        "configs.downscaling_factor = 4.0\n",
        "configs.batch_size = 16\n",
        "\n",
        "main(configs)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1ziWydBgZxHc",
        "outputId": "84d42c9b-a4f2-4d55-da71-308dff8081f6"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "slides:   0%|          | 0/1 [00:00<?, ?it/s]\n",
            "2023-03-06 23.51.44_0:   0%|          | 0/61 [00:00<?, ?it/s]\u001b[A\n",
            "                                                     "
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Time taken:  23.1379878570001 seconds\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\r"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Generate reports"
      ],
      "metadata": {
        "id": "NPrf3xoxIBbg"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# configure histogpt and load weights\n",
        "from transformers import BioGptConfig\n",
        "from histogpt.models import HistoGPTForCausalLM, PerceiverResamplerConfig\n",
        "\n",
        "histogpt = HistoGPTForCausalLM(BioGptConfig(), PerceiverResamplerConfig())\n",
        "histogpt = histogpt.to(device)\n",
        "\n",
        "PATH = '/content/histogpt-1b-6k-pruned.pth?download=true'\n",
        "state_dict = torch.load(PATH, map_location=device)\n",
        "histogpt.load_state_dict(state_dict, strict=True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "B8yzhRcy9Bue",
        "outputId": "d2ed9297-280c-4fc7-f667-136391eceab4"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<All keys matched successfully>"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# get text prompt and image features\n",
        "import h5py\n",
        "from transformers import BioGptTokenizer\n",
        "\n",
        "tokenizer = BioGptTokenizer.from_pretrained(\"microsoft/biogpt\")\n",
        "\n",
        "prompt = 'Final diagnosis:'\n",
        "prompt = torch.tensor(tokenizer.encode(prompt)).unsqueeze(0).to(device)\n",
        "\n",
        "with h5py.File('/content/save_folder/h5_files/256px_ctranspath_0.0mpp_4.0xdown_normal/2023-03-06 23.51.44.h5', 'r') as f:\n",
        "    features = f['feats'][:]\n",
        "    features = torch.tensor(features).unsqueeze(0).to(device)"
      ],
      "metadata": {
        "id": "xzP6-rlXUD6T"
      },
      "execution_count": 21,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# generate text autoregressively\n",
        "from histogpt.helpers.inference import generate\n",
        "\n",
        "output = generate(\n",
        "    model=histogpt,\n",
        "    prompt=prompt,\n",
        "    image=features,\n",
        "    length=256,\n",
        "    top_k=40,\n",
        "    top_p=0.95,\n",
        "    temp=0.7,\n",
        "    device=device\n",
        ")\n",
        "\n",
        "decoded = tokenizer.decode(output[0, 1:])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "G-25l6iIb-cQ",
        "outputId": "2b9ad629-c552-489e-c810-fced2111c4f5"
      },
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": []
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# view image and print text\n",
        "from openslide import OpenSlide\n",
        "from PIL import Image\n",
        "import textwrap\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "slide_path = '/content/slide_folder/2023-03-06 23.51.44.ndpi'\n",
        "slide = OpenSlide(slide_path)\n",
        "\n",
        "level = slide.get_best_level_for_downsample(32)\n",
        "downsampled_dimensions = slide.level_dimensions[level]\n",
        "\n",
        "thumbnail = slide.read_region((0,0), level, downsampled_dimensions)\n",
        "thumbnail = thumbnail.convert(\"RGB\")\n",
        "\n",
        "plt.imshow(thumbnail)\n",
        "plt.axis('off')\n",
        "plt.show()\n",
        "\n",
        "print(textwrap.fill(decoded, width=64))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 348
        },
        "id": "z33duVtvTKzj",
        "outputId": "6b72163c-9f9b-4bb7-9a9e-9da2607b47ae"
      },
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Final diagnosis: Basal cell carcinoma. Critical findings:\n",
            "Superficial basal cell carcinoma. Tumor thickness 0. 3 mm. Exact\n",
            "in toto. Microscopic findings: The epidermis shows a notable\n",
            "reduction in larger areas, with small basaloid tumor strands\n",
            "protruding into the upper corium at various locations. There is\n",
            "a moderate inflammatory infiltrate in the surrounding area and\n",
            "widened vascular lumina.\n"
          ]
        }
      ]
    }
  ]
}