launch_app.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "view-in-github"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/mattyamonaca/AMeThyst/blob/main/launch_app.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": {
        "id": "SK7Eb8m4LSJd"
      },
      "outputs": [],
      "source": [
        "#Please set runtime to GPU"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "NO8Z3J065WPz",
        "outputId": "41f80c98-e64c-44de-d067-36bc300bee7d"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Cloning into 'layerdivider'...\n",
            "remote: Enumerating objects: 60, done.\u001b[K\n",
            "remote: Counting objects: 100% (60/60), done.\u001b[K\n",
            "remote: Compressing objects: 100% (43/43), done.\u001b[K\n",
            "remote: Total 60 (delta 26), reused 34 (delta 13), pack-reused 0\u001b[K\n",
            "Unpacking objects: 100% (60/60), 28.39 MiB | 3.19 MiB/s, done.\n"
          ]
        }
      ],
      "source": [
        "!git clone https://github.com/mattyamonaca/AMeThyst.git"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "cCKcMIpC5aJJ",
        "outputId": "d49d1135-3bfc-496d-e975-d08ebc33b251"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "/content/layerdivider\n"
          ]
        }
      ],
      "source": [
        "%cd AMeThyst"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "UxrRgQpmDK_g",
        "outputId": "90f3c690-29a7-4f72-cba4-b23702ab2442"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting opencv-python==4.7.0.68\n",
            "  Downloading opencv_python-4.7.0.68-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (61.8 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m61.8/61.8 MB\u001b[0m \u001b[31m12.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting pandas==1.5.3\n",
            "  Downloading pandas-1.5.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.2 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m12.2/12.2 MB\u001b[0m \u001b[31m55.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting gradio==3.16.2\n",
            "  Downloading gradio-3.16.2-py3-none-any.whl (14.2 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m14.2/14.2 MB\u001b[0m \u001b[31m52.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: scikit-learn==1.2.1 in /usr/local/lib/python3.8/dist-packages (from -r requirements.txt (line 4)) (1.2.1)\n",
            "Requirement already satisfied: scikit-image==0.19.3 in /usr/local/lib/python3.8/dist-packages (from -r requirements.txt (line 5)) (0.19.3)\n",
            "Collecting Pillow==9.4.0\n",
            "  Downloading Pillow-9.4.0-cp38-cp38-manylinux_2_28_x86_64.whl (3.4 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m3.4/3.4 MB\u001b[0m \u001b[31m49.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting tqdm==4.63.0\n",
            "  Downloading tqdm-4.63.0-py2.py3-none-any.whl (76 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m76.6/76.6 KB\u001b[0m \u001b[31m9.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting pytoshop==1.2.1\n",
            "  Downloading pytoshop-1.2.1.tar.gz (2.2 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.2/2.2 MB\u001b[0m \u001b[31m49.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "Requirement already satisfied: numpy>=1.17.0 in /usr/local/lib/python3.8/dist-packages (from opencv-python==4.7.0.68->-r requirements.txt (line 1)) (1.22.4)\n",
            "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.8/dist-packages (from pandas==1.5.3->-r requirements.txt (line 2)) (2022.7.1)\n",
            "Requirement already satisfied: python-dateutil>=2.8.1 in /usr/local/lib/python3.8/dist-packages (from pandas==1.5.3->-r requirements.txt (line 2)) (2.8.2)\n",
            "Collecting websockets>=10.0\n",
            "  Downloading websockets-10.4-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (106 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m107.0/107.0 KB\u001b[0m \u001b[31m9.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting httpx\n",
            "  Downloading httpx-0.23.3-py3-none-any.whl (71 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m71.5/71.5 KB\u001b[0m \u001b[31m5.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: matplotlib in /usr/local/lib/python3.8/dist-packages (from gradio==3.16.2->-r requirements.txt (line 3)) (3.5.3)\n",
            "Requirement already satisfied: fsspec in /usr/local/lib/python3.8/dist-packages (from gradio==3.16.2->-r requirements.txt (line 3)) (2023.1.0)\n",
            "Requirement already satisfied: pydantic in /usr/local/lib/python3.8/dist-packages (from gradio==3.16.2->-r requirements.txt (line 3)) (1.10.5)\n",
            "Requirement already satisfied: altair>=4.2.0 in /usr/local/lib/python3.8/dist-packages (from gradio==3.16.2->-r requirements.txt (line 3)) (4.2.2)\n",
            "Collecting fastapi\n",
            "  Downloading fastapi-0.92.0-py3-none-any.whl (56 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m56.2/56.2 KB\u001b[0m \u001b[31m5.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from gradio==3.16.2->-r requirements.txt (line 3)) (3.1.2)\n",
            "Collecting pycryptodome\n",
            "  Downloading pycryptodome-3.17-cp35-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.1 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.1/2.1 MB\u001b[0m \u001b[31m77.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: pyyaml in /usr/local/lib/python3.8/dist-packages (from gradio==3.16.2->-r requirements.txt (line 3)) (6.0)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.8/dist-packages (from gradio==3.16.2->-r requirements.txt (line 3)) (2.25.1)\n",
            "Collecting markdown-it-py[linkify,plugins]\n",
            "  Downloading markdown_it_py-2.2.0-py3-none-any.whl (84 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m84.5/84.5 KB\u001b[0m \u001b[31m10.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: aiohttp in /usr/local/lib/python3.8/dist-packages (from gradio==3.16.2->-r requirements.txt (line 3)) (3.8.4)\n",
            "Requirement already satisfied: markupsafe in /usr/local/lib/python3.8/dist-packages (from gradio==3.16.2->-r requirements.txt (line 3)) (2.1.2)\n",
            "Requirement already satisfied: typing-extensions in /usr/local/lib/python3.8/dist-packages (from gradio==3.16.2->-r requirements.txt (line 3)) (4.5.0)\n",
            "Collecting aiofiles\n",
            "  Downloading aiofiles-23.1.0-py3-none-any.whl (14 kB)\n",
            "Collecting pydub\n",
            "  Downloading pydub-0.25.1-py2.py3-none-any.whl (32 kB)\n",
            "Collecting ffmpy\n",
            "  Downloading ffmpy-0.3.0.tar.gz (4.8 kB)\n",
            "  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "Collecting uvicorn\n",
            "  Downloading uvicorn-0.20.0-py3-none-any.whl (56 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m56.9/56.9 KB\u001b[0m \u001b[31m6.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting orjson\n",
            "  Downloading orjson-3.8.7-cp38-cp38-manylinux_2_28_x86_64.whl (140 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m140.7/140.7 KB\u001b[0m \u001b[31m1.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting python-multipart\n",
            "  Downloading python_multipart-0.0.6-py3-none-any.whl (45 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m45.7/45.7 KB\u001b[0m \u001b[31m5.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: threadpoolctl>=2.0.0 in /usr/local/lib/python3.8/dist-packages (from scikit-learn==1.2.1->-r requirements.txt (line 4)) (3.1.0)\n",
            "Requirement already satisfied: joblib>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from scikit-learn==1.2.1->-r requirements.txt (line 4)) (1.2.0)\n",
            "Requirement already satisfied: scipy>=1.3.2 in /usr/local/lib/python3.8/dist-packages (from scikit-learn==1.2.1->-r requirements.txt (line 4)) (1.10.1)\n",
            "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.8/dist-packages (from scikit-image==0.19.3->-r requirements.txt (line 5)) (23.0)\n",
            "Requirement already satisfied: networkx>=2.2 in /usr/local/lib/python3.8/dist-packages (from scikit-image==0.19.3->-r requirements.txt (line 5)) (3.0)\n",
            "Requirement already satisfied: imageio>=2.4.1 in /usr/local/lib/python3.8/dist-packages (from scikit-image==0.19.3->-r requirements.txt (line 5)) (2.9.0)\n",
            "Requirement already satisfied: tifffile>=2019.7.26 in /usr/local/lib/python3.8/dist-packages (from scikit-image==0.19.3->-r requirements.txt (line 5)) (2023.2.27)\n",
            "Requirement already satisfied: PyWavelets>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from scikit-image==0.19.3->-r requirements.txt (line 5)) (1.4.1)\n",
            "Requirement already satisfied: cython in /usr/local/lib/python3.8/dist-packages (from pytoshop==1.2.1->-r requirements.txt (line 8)) (0.29.33)\n",
            "Requirement already satisfied: jsonschema>=3.0 in /usr/local/lib/python3.8/dist-packages (from altair>=4.2.0->gradio==3.16.2->-r requirements.txt (line 3)) (4.3.3)\n",
            "Requirement already satisfied: entrypoints in /usr/local/lib/python3.8/dist-packages (from altair>=4.2.0->gradio==3.16.2->-r requirements.txt (line 3)) (0.4)\n",
            "Requirement already satisfied: toolz in /usr/local/lib/python3.8/dist-packages (from altair>=4.2.0->gradio==3.16.2->-r requirements.txt (line 3)) (0.12.0)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.8/dist-packages (from python-dateutil>=2.8.1->pandas==1.5.3->-r requirements.txt (line 2)) (1.15.0)\n",
            "Requirement already satisfied: multidict<7.0,>=4.5 in /usr/local/lib/python3.8/dist-packages (from aiohttp->gradio==3.16.2->-r requirements.txt (line 3)) (6.0.4)\n",
            "Requirement already satisfied: charset-normalizer<4.0,>=2.0 in /usr/local/lib/python3.8/dist-packages (from aiohttp->gradio==3.16.2->-r requirements.txt (line 3)) (3.0.1)\n",
            "Requirement already satisfied: frozenlist>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from aiohttp->gradio==3.16.2->-r requirements.txt (line 3)) (1.3.3)\n",
            "Requirement already satisfied: yarl<2.0,>=1.0 in /usr/local/lib/python3.8/dist-packages (from aiohttp->gradio==3.16.2->-r requirements.txt (line 3)) (1.8.2)\n",
            "Requirement already satisfied: attrs>=17.3.0 in /usr/local/lib/python3.8/dist-packages (from aiohttp->gradio==3.16.2->-r requirements.txt (line 3)) (22.2.0)\n",
            "Requirement already satisfied: aiosignal>=1.1.2 in /usr/local/lib/python3.8/dist-packages (from aiohttp->gradio==3.16.2->-r requirements.txt (line 3)) (1.3.1)\n",
            "Requirement already satisfied: async-timeout<5.0,>=4.0.0a3 in /usr/local/lib/python3.8/dist-packages (from aiohttp->gradio==3.16.2->-r requirements.txt (line 3)) (4.0.2)\n",
            "Collecting starlette<0.26.0,>=0.25.0\n",
            "  Downloading starlette-0.25.0-py3-none-any.whl (66 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m66.4/66.4 KB\u001b[0m \u001b[31m8.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting rfc3986[idna2008]<2,>=1.3\n",
            "  Downloading rfc3986-1.5.0-py2.py3-none-any.whl (31 kB)\n",
            "Collecting httpcore<0.17.0,>=0.15.0\n",
            "  Downloading httpcore-0.16.3-py3-none-any.whl (69 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m69.6/69.6 KB\u001b[0m \u001b[31m7.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting sniffio\n",
            "  Downloading sniffio-1.3.0-py3-none-any.whl (10 kB)\n",
            "Requirement already satisfied: certifi in /usr/local/lib/python3.8/dist-packages (from httpx->gradio==3.16.2->-r requirements.txt (line 3)) (2022.12.7)\n",
            "Collecting mdurl~=0.1\n",
            "  Downloading mdurl-0.1.2-py3-none-any.whl (10.0 kB)\n",
            "Collecting linkify-it-py<3,>=1\n",
            "  Downloading linkify_it_py-2.0.0-py3-none-any.whl (19 kB)\n",
            "Collecting mdit-py-plugins\n",
            "  Downloading mdit_py_plugins-0.3.5-py3-none-any.whl (52 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m52.1/52.1 KB\u001b[0m \u001b[31m6.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.8/dist-packages (from matplotlib->gradio==3.16.2->-r requirements.txt (line 3)) (1.4.4)\n",
            "Requirement already satisfied: pyparsing>=2.2.1 in /usr/local/lib/python3.8/dist-packages (from matplotlib->gradio==3.16.2->-r requirements.txt (line 3)) (3.0.9)\n",
            "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.8/dist-packages (from matplotlib->gradio==3.16.2->-r requirements.txt (line 3)) (0.11.0)\n",
            "Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.8/dist-packages (from matplotlib->gradio==3.16.2->-r requirements.txt (line 3)) (4.38.0)\n",
            "Requirement already satisfied: chardet<5,>=3.0.2 in /usr/local/lib/python3.8/dist-packages (from requests->gradio==3.16.2->-r requirements.txt (line 3)) (4.0.0)\n",
            "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/local/lib/python3.8/dist-packages (from requests->gradio==3.16.2->-r requirements.txt (line 3)) (1.26.14)\n",
            "Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.8/dist-packages (from requests->gradio==3.16.2->-r requirements.txt (line 3)) (2.10)\n",
            "Requirement already satisfied: click>=7.0 in /usr/local/lib/python3.8/dist-packages (from uvicorn->gradio==3.16.2->-r requirements.txt (line 3)) (8.1.3)\n",
            "Collecting h11>=0.8\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[31m7.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting anyio<5.0,>=3.0\n",
            "  Downloading anyio-3.6.2-py3-none-any.whl (80 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m80.6/80.6 KB\u001b[0m \u001b[31m9.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: importlib-resources>=1.4.0 in /usr/local/lib/python3.8/dist-packages (from jsonschema>=3.0->altair>=4.2.0->gradio==3.16.2->-r requirements.txt (line 3)) (5.12.0)\n",
            "Requirement already satisfied: pyrsistent!=0.17.0,!=0.17.1,!=0.17.2,>=0.14.0 in /usr/local/lib/python3.8/dist-packages (from jsonschema>=3.0->altair>=4.2.0->gradio==3.16.2->-r requirements.txt (line 3)) (0.19.3)\n",
            "Collecting uc-micro-py\n",
            "  Downloading uc_micro_py-1.0.1-py3-none-any.whl (6.2 kB)\n",
            "Requirement already satisfied: zipp>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from importlib-resources>=1.4.0->jsonschema>=3.0->altair>=4.2.0->gradio==3.16.2->-r requirements.txt (line 3)) (3.15.0)\n",
            "Building wheels for collected packages: pytoshop, ffmpy\n",
            "  Building wheel for pytoshop (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for pytoshop: filename=pytoshop-1.2.1-cp38-cp38-linux_x86_64.whl size=531712 sha256=12270e8f102c3c7503d206816c5d7159eada9cee6b44858bdbe1af68afa8b248\n",
            "  Stored in directory: /root/.cache/pip/wheels/4d/27/2b/768415490f39238ace83a899ecacd532ad890e847a6bdfcff5\n",
            "  Building wheel for ffmpy (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for ffmpy: filename=ffmpy-0.3.0-py3-none-any.whl size=4711 sha256=b1700a6b816d5164c334f61acc5ae8fdb175e01efcddc8113ff718c8fe50cf78\n",
            "  Stored in directory: /root/.cache/pip/wheels/ff/5b/59/913b443e7369dc04b61f607a746b6f7d83fb65e2e19fcc958d\n",
            "Successfully built pytoshop ffmpy\n",
            "Installing collected packages: rfc3986, pydub, ffmpy, websockets, uc-micro-py, tqdm, sniffio, pytoshop, python-multipart, pycryptodome, Pillow, orjson, opencv-python, mdurl, h11, aiofiles, uvicorn, pandas, markdown-it-py, linkify-it-py, anyio, starlette, mdit-py-plugins, httpcore, httpx, fastapi, gradio\n",
            "  Attempting uninstall: tqdm\n",
            "    Found existing installation: tqdm 4.64.1\n",
            "    Uninstalling tqdm-4.64.1:\n",
            "      Successfully uninstalled tqdm-4.64.1\n",
            "  Attempting uninstall: Pillow\n",
            "    Found existing installation: Pillow 8.4.0\n",
            "    Uninstalling Pillow-8.4.0:\n",
            "      Successfully uninstalled Pillow-8.4.0\n",
            "  Attempting uninstall: opencv-python\n",
            "    Found existing installation: opencv-python 4.6.0.66\n",
            "    Uninstalling opencv-python-4.6.0.66:\n",
            "      Successfully uninstalled opencv-python-4.6.0.66\n",
            "  Attempting uninstall: pandas\n",
            "    Found existing installation: pandas 1.3.5\n",
            "    Uninstalling pandas-1.3.5:\n",
            "      Successfully uninstalled pandas-1.3.5\n",
            "Successfully installed Pillow-9.4.0 aiofiles-23.1.0 anyio-3.6.2 fastapi-0.92.0 ffmpy-0.3.0 gradio-3.16.2 h11-0.14.0 httpcore-0.16.3 httpx-0.23.3 linkify-it-py-2.0.0 markdown-it-py-2.2.0 mdit-py-plugins-0.3.5 mdurl-0.1.2 opencv-python-4.7.0.68 orjson-3.8.7 pandas-1.5.3 pycryptodome-3.17 pydub-0.25.1 python-multipart-0.0.6 pytoshop-1.2.1 rfc3986-1.5.0 sniffio-1.3.0 starlette-0.25.0 tqdm-4.63.0 uc-micro-py-1.0.1 uvicorn-0.20.0 websockets-10.4\n"
          ]
        },
        {
          "data": {
            "application/vnd.colab-display-data+json": {
              "pip_warning": {
                "packages": [
                  "PIL"
                ]
              }
            }
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "!pip install -r requirements.txt"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "G541ekZi5aLV",
        "outputId": "17c25288-e0fa-4bd9-b0ae-85d0b188af72"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Running on local URL:  http://127.0.0.1:7860\n",
            "Running on public URL: https://92a07519-ac3e-487b.gradio.live\n",
            "\n",
            "This share link expires in 72 hours. For free permanent hosting and GPU upgrades (NEW!), check out Spaces: https://huggingface.co/spaces\n",
            "/usr/local/lib/python3.8/dist-packages/sklearn/cluster/_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
            "  warnings.warn(\n",
            "100% 10/10 [00:15<00:00,  1.55s/it]\n",
            "100% 7/7 [00:09<00:00,  1.39s/it]\n",
            "100% 7/7 [00:10<00:00,  1.44s/it]\n",
            "100% 7/7 [00:07<00:00,  1.03s/it]\n",
            "100% 7/7 [00:02<00:00,  2.46it/s]\n",
            "100% 7/7 [00:04<00:00,  1.69it/s]\n",
            "100% 7/7 [00:03<00:00,  2.23it/s]\n",
            "/usr/local/lib/python3.8/dist-packages/sklearn/cluster/_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
            "  warnings.warn(\n",
            "100% 10/10 [00:14<00:00,  1.44s/it]\n",
            "100% 9/9 [00:13<00:00,  1.51s/it]\n",
            "100% 9/9 [00:12<00:00,  1.33s/it]\n",
            "100% 9/9 [00:09<00:00,  1.02s/it]\n",
            "100% 9/9 [00:03<00:00,  2.45it/s]\n",
            "100% 9/9 [00:04<00:00,  1.94it/s]\n",
            "100% 9/9 [00:03<00:00,  2.28it/s]\n"
          ]
        }
      ],
      "source": [
        "!python app.py"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "GusmVa6gV9ma"
      },
      "outputs": [],
      "source": []
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "L1CViUdy5aNT"
      },
      "outputs": [],
      "source": []
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "O_b4iI5a5aP-"
      },
      "outputs": [],
      "source": []
    }
  ],
  "metadata": {
    "colab": {
      "include_colab_link": true,
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}