Classifier.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "MvsN_CNN.ipynb",
      "provenance": [],
      "authorship_tag": "ABX9TyMCtvMadc5/hXox+oXBjCTU",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/Kals-13/Memes-vs-Notes/blob/master/Meme/Note%20Classifier.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WuMXQvIBM5wn",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import torch\n",
        "import torchvision\n",
        "import torch.nn as nn\n",
        "import torch.nn.functional as F\n",
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "import os \n",
        "import cv2"
      ],
      "execution_count": 1,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WKy_xYYdOla-",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "aa5fafac-2cac-4c52-efae-4b78a560f4d2"
      },
      "source": [
        "torch.device('cuda:0')"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "device(type='cuda', index=0)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 2
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "CFsz_cCZNZTi",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 121
        },
        "outputId": "b56efebc-36ae-43b0-b17e-c949a3ad7025"
      },
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/gdrive', force_remount = True)"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Go to this URL in a browser: https://accounts.google.com/o/oauth2/auth?client_id=947318989803-6bn6qk8qdgf4n4g3pfee6491hc0brc4i.apps.googleusercontent.com&redirect_uri=urn%3aietf%3awg%3aoauth%3a2.0%3aoob&scope=email%20https%3a%2f%2fwww.googleapis.com%2fauth%2fdocs.test%20https%3a%2f%2fwww.googleapis.com%2fauth%2fdrive%20https%3a%2f%2fwww.googleapis.com%2fauth%2fdrive.photos.readonly%20https%3a%2f%2fwww.googleapis.com%2fauth%2fpeopleapi.readonly&response_type=code\n",
            "\n",
            "Enter your authorization code:\n",
            "··········\n",
            "Mounted at /content/gdrive\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "CCSC-mZ0Xevg",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "path0 = \"/content/gdrive/My Drive/Memes\"\n",
        "path1 = \"/content/gdrive/My Drive/Notes\""
      ],
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "I0IRw9xIcIKu",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "images0 = []\n",
        "for img in os.listdir(path0):\n",
        "  image = cv2.imread(os.path.join(path0, img), cv2.IMREAD_UNCHANGED)\n",
        "  images0.append([image, 0])"
      ],
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PGYPtl0JcW7k",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "images1 = []\n",
        "for img in os.listdir(path1):\n",
        "  image = cv2.imread(os.path.join(path1, img), cv2.IMREAD_UNCHANGED)\n",
        "  images1.append([image, 1])"
      ],
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "I0ofJ_384LcJ",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "test_set = images0[:48] + images1[:48]\n",
        "validation_set = images0[48:80] + images1[48:80]\n",
        "training_set = images0[80:] + images1[80:]"
      ],
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "o-18u8304YiZ",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import random\n",
        "random.seed(5)\n",
        "\n",
        "random.shuffle(training_set)\n",
        "random.shuffle(test_set)\n",
        "random.shuffle(validation_set)"
      ],
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Jpna5hM141-X",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "train_X = []\n",
        "train_Y = []\n",
        "for features, label in training_set:\n",
        "  train_X.append(features)\n",
        "  train_Y.append(label)\n",
        "train_X = torch.tensor(np.array(train_X))\n",
        "train_X = train_X.permute(0, 3, 1, 2)\n",
        "m = train_X.shape[0]\n",
        "train_Y = torch.tensor(np.array(np.reshape(train_Y, (m, 1))))"
      ],
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "P_s-68xCOfMb",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "53b89440-064b-48ea-a9b7-7ea9ca3c083e"
      },
      "source": [
        "print(train_X.shape)"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "torch.Size([1440, 3, 256, 256])\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Wj14ha7e-9Zs",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "validation_X = []\n",
        "validation_Y = []\n",
        "for features, label in validation_set:\n",
        "  validation_X.append(features)\n",
        "  validation_Y.append(label)\n",
        "validation_X = torch.tensor(np.array(validation_X))\n",
        "validation_X = validation_X.permute(0, 3, 1, 2)\n",
        "m = validation_X.shape[0]\n",
        "validation_Y = torch.tensor(np.array(np.reshape(validation_Y, (m, 1))))"
      ],
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jJ1Wu2-6AVag",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "test_X = []\n",
        "test_Y = []\n",
        "for features, label in test_set:\n",
        "  test_X.append(features)\n",
        "  test_Y.append(label)\n",
        "test_X = torch.tensor(np.array(test_X))\n",
        "test_X = test_X.permute(0, 3, 1, 2)\n",
        "m = test_X.shape[0]\n",
        "test_Y = torch.tensor(np.array(np.reshape(test_Y, (m, 1))))"
      ],
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GwZs1oraAg2I",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "train_X = torch.true_divide(train_X, 256)\n",
        "validation_X = torch.true_divide(validation_X, 256)\n",
        "test_X = torch.true_divide(test_X, 256)"
      ],
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZZKfNih8A0Lx",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "class Network(nn.Module):\n",
        "  def __init__(self):\n",
        "    super(Network, self).__init__()\n",
        "    self.layer1 = nn.Sequential(\n",
        "        nn.Conv2d(3, 20, kernel_size=3, stride=2),\n",
        "        nn.ReLU(),\n",
        "        nn.MaxPool2d(kernel_size=3, stride=2),\n",
        "    )\n",
        "    self.layer2 = nn.Sequential(\n",
        "        nn.Conv2d(20, 40, kernel_size=5, stride=2),\n",
        "        nn.ReLU(),\n",
        "        nn.MaxPool2d(kernel_size=3, stride=2),\n",
        "    )\n",
        "    self.fc1 = nn.Linear(40 * 14 * 14, 100)\n",
        "    self.fc2 = nn.Linear(100, 2)\n",
        "  def forward(self, X):\n",
        "    out = self.layer1(X.float())\n",
        "    out = self.layer2(out)\n",
        "    out = out.reshape(out.shape[0], -1)\n",
        "    out = self.fc1(out)\n",
        "    out = self.fc2(out)\n",
        "    return out"
      ],
      "execution_count": 14,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "szj2URQj52yr",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "learning_rate = 0.0007"
      ],
      "execution_count": 15,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "F2olQQ0APp20",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "model = Network()\n",
        "loss = nn.CrossEntropyLoss()\n",
        "optimizer = torch.optim.Adam(model.parameters(), learning_rate)"
      ],
      "execution_count": 16,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "42LrKyPeHiNi",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def predictions(predictions, labels):\n",
        "  predict = F.softmax(predictions, dim=1)\n",
        "  count = 0\n",
        "  predict = torch.argmax(predict, dim=1, keepdims=True)\n",
        "  predict = predict.reshape(predict.shape[0])\n",
        "  for i in range(len(labels)):\n",
        "    if labels[i] == predict[i]:\n",
        "      count += 1\n",
        "  return 100 * count/labels.shape[0]"
      ],
      "execution_count": 17,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8wIq8vU5OmCe",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def training_model( X, Y, learning_rate, dataset, num_epochs):\n",
        "  n = X.shape[0]\n",
        "  losses = []\n",
        "  for epoch in range(num_epochs):\n",
        "    outputs = model(X)\n",
        "    cost = loss(outputs, torch.squeeze(Y))\n",
        "    print(cost.item())\n",
        "    losses.append(cost.item())\n",
        "\n",
        "    optimizer.zero_grad()\n",
        "    cost.backward()\n",
        "    optimizer.step()\n",
        "\n",
        "  print(\"Accuracy on\", dataset, \"set is\",  predictions(outputs.data, Y))\n",
        "  plt.plot(losses)\n",
        "  plt.xlabel('epochs')\n",
        "  plt.ylabel('loss')\n",
        "  plt.show()"
      ],
      "execution_count": 18,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LNHlC4gJUEa7",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 810
        },
        "outputId": "cb6ecf5c-cccc-4009-9b73-85599c9f55f3"
      },
      "source": [
        "training_model(train_X, train_Y, learning_rate, \"train\", 7)\n",
        "training_model(validation_X, validation_Y, learning_rate, \"validation\", 7)"
      ],
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "0.6922329068183899\n",
            "0.8832749128341675\n",
            "0.5654464960098267\n",
            "0.49151670932769775\n",
            "0.4038924276828766\n",
            "0.3925783038139343\n",
            "0.28102052211761475\n",
            "Accuracy on train set is 96.31944444444444\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "0.3478516638278961\n",
            "0.2922319173812866\n",
            "0.22974169254302979\n",
            "0.16450588405132294\n",
            "0.10981923341751099\n",
            "0.07138524204492569\n",
            "0.045051511377096176\n",
            "Accuracy on validation set is 100.0\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "88zUPGYL-_WE",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def test_model(X, Y):\n",
        "  model.eval()\n",
        "  with torch.no_grad():\n",
        "    outputs = model(X)\n",
        "    accuracy = predictions(outputs.data, Y)\n",
        "    print(\"Accuracy on test set is \", accuracy)"
      ],
      "execution_count": 20,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YX9QpeUCjtGP",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "87616cdd-c8a4-44cc-8b0a-d67c2a75bf2c"
      },
      "source": [
        "test_model(test_X, test_Y)"
      ],
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Accuracy on test set is  94.79166666666667\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "cKFOBQuKOa6K",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 907
        },
        "outputId": "4897656e-6e88-4eb2-a6a5-c420cd5e4f66"
      },
      "source": [
        "pip install gradio"
      ],
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Collecting gradio\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/7d/66/a9f7fcc853b64d5b432b7cca9bd0f6a09c56778c80203c7bbe7a97234838/gradio-1.1.6-py3-none-any.whl (973kB)\n",
            "\u001b[K     |████████████████████████████████| 983kB 2.8MB/s \n",
            "\u001b[?25hRequirement already satisfied: IPython in /usr/local/lib/python3.6/dist-packages (from gradio) (5.5.0)\n",
            "Collecting analytics-python\n",
            "  Downloading https://files.pythonhosted.org/packages/d3/37/c49d052f88655cd96445c36979fb63f69ef859e167eaff5706ca7c8a8ee3/analytics_python-1.2.9-py2.py3-none-any.whl\n",
            "Requirement already satisfied: scipy in /usr/local/lib/python3.6/dist-packages (from gradio) (1.4.1)\n",
            "Requirement already satisfied: scikit-image in /usr/local/lib/python3.6/dist-packages (from gradio) (0.16.2)\n",
            "Collecting paramiko\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/95/19/124e9287b43e6ff3ebb9cdea3e5e8e88475a873c05ccdf8b7e20d2c4201e/paramiko-2.7.2-py2.py3-none-any.whl (206kB)\n",
            "\u001b[K     |████████████████████████████████| 215kB 16.4MB/s \n",
            "\u001b[?25hRequirement already satisfied: requests in /usr/local/lib/python3.6/dist-packages (from gradio) (2.23.0)\n",
            "Requirement already satisfied: pandas in /usr/local/lib/python3.6/dist-packages (from gradio) (1.0.5)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.6/dist-packages (from gradio) (1.18.5)\n",
            "Requirement already satisfied: traitlets>=4.2 in /usr/local/lib/python3.6/dist-packages (from IPython->gradio) (4.3.3)\n",
            "Requirement already satisfied: simplegeneric>0.8 in /usr/local/lib/python3.6/dist-packages (from IPython->gradio) (0.8.1)\n",
            "Requirement already satisfied: setuptools>=18.5 in /usr/local/lib/python3.6/dist-packages (from IPython->gradio) (49.6.0)\n",
            "Requirement already satisfied: pexpect; sys_platform != \"win32\" in /usr/local/lib/python3.6/dist-packages (from IPython->gradio) (4.8.0)\n",
            "Requirement already satisfied: pygments in /usr/local/lib/python3.6/dist-packages (from IPython->gradio) (2.1.3)\n",
            "Requirement already satisfied: prompt-toolkit<2.0.0,>=1.0.4 in /usr/local/lib/python3.6/dist-packages (from IPython->gradio) (1.0.18)\n",
            "Requirement already satisfied: decorator in /usr/local/lib/python3.6/dist-packages (from IPython->gradio) (4.4.2)\n",
            "Requirement already satisfied: pickleshare in /usr/local/lib/python3.6/dist-packages (from IPython->gradio) (0.7.5)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.6/dist-packages (from analytics-python->gradio) (1.15.0)\n",
            "Requirement already satisfied: python-dateutil>2.1 in /usr/local/lib/python3.6/dist-packages (from analytics-python->gradio) (2.8.1)\n",
            "Requirement already satisfied: networkx>=2.0 in /usr/local/lib/python3.6/dist-packages (from scikit-image->gradio) (2.5)\n",
            "Requirement already satisfied: matplotlib!=3.0.0,>=2.0.0 in /usr/local/lib/python3.6/dist-packages (from scikit-image->gradio) (3.2.2)\n",
            "Requirement already satisfied: PyWavelets>=0.4.0 in /usr/local/lib/python3.6/dist-packages (from scikit-image->gradio) (1.1.1)\n",
            "Requirement already satisfied: pillow>=4.3.0 in /usr/local/lib/python3.6/dist-packages (from scikit-image->gradio) (7.0.0)\n",
            "Requirement already satisfied: imageio>=2.3.0 in /usr/local/lib/python3.6/dist-packages (from scikit-image->gradio) (2.4.1)\n",
            "Collecting pynacl>=1.0.1\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/9d/57/2f5e6226a674b2bcb6db531e8b383079b678df5b10cdaa610d6cf20d77ba/PyNaCl-1.4.0-cp35-abi3-manylinux1_x86_64.whl (961kB)\n",
            "\u001b[K     |████████████████████████████████| 962kB 16.0MB/s \n",
            "\u001b[?25hCollecting bcrypt>=3.1.3\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/26/70/6d218afbe4c73538053c1016dd631e8f25fffc10cd01f5c272d7acf3c03d/bcrypt-3.2.0-cp36-abi3-manylinux2010_x86_64.whl (63kB)\n",
            "\u001b[K     |████████████████████████████████| 71kB 6.6MB/s \n",
            "\u001b[?25hCollecting cryptography>=2.5\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/c0/9c/647e559a6e8be493dc2a7a5d15d26cb501ca60ec299b356f23839a673a83/cryptography-3.1-cp35-abi3-manylinux2010_x86_64.whl (2.6MB)\n",
            "\u001b[K     |████████████████████████████████| 2.6MB 20.1MB/s \n",
            "\u001b[?25hRequirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.6/dist-packages (from requests->gradio) (3.0.4)\n",
            "Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.6/dist-packages (from requests->gradio) (2.10)\n",
            "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.6/dist-packages (from requests->gradio) (1.24.3)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.6/dist-packages (from requests->gradio) (2020.6.20)\n",
            "Requirement already satisfied: pytz>=2017.2 in /usr/local/lib/python3.6/dist-packages (from pandas->gradio) (2018.9)\n",
            "Requirement already satisfied: ipython-genutils in /usr/local/lib/python3.6/dist-packages (from traitlets>=4.2->IPython->gradio) (0.2.0)\n",
            "Requirement already satisfied: ptyprocess>=0.5 in /usr/local/lib/python3.6/dist-packages (from pexpect; sys_platform != \"win32\"->IPython->gradio) (0.6.0)\n",
            "Requirement already satisfied: wcwidth in /usr/local/lib/python3.6/dist-packages (from prompt-toolkit<2.0.0,>=1.0.4->IPython->gradio) (0.2.5)\n",
            "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /usr/local/lib/python3.6/dist-packages (from matplotlib!=3.0.0,>=2.0.0->scikit-image->gradio) (2.4.7)\n",
            "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.6/dist-packages (from matplotlib!=3.0.0,>=2.0.0->scikit-image->gradio) (1.2.0)\n",
            "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.6/dist-packages (from matplotlib!=3.0.0,>=2.0.0->scikit-image->gradio) (0.10.0)\n",
            "Requirement already satisfied: cffi>=1.4.1 in /usr/local/lib/python3.6/dist-packages (from pynacl>=1.0.1->paramiko->gradio) (1.14.2)\n",
            "Requirement already satisfied: pycparser in /usr/local/lib/python3.6/dist-packages (from cffi>=1.4.1->pynacl>=1.0.1->paramiko->gradio) (2.20)\n",
            "Installing collected packages: analytics-python, pynacl, bcrypt, cryptography, paramiko, gradio\n",
            "Successfully installed analytics-python-1.2.9 bcrypt-3.2.0 cryptography-3.1 gradio-1.1.6 paramiko-2.7.2 pynacl-1.4.0\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "uPbZnPnGLelJ",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import gradio as gr\n",
        "from PIL import Image"
      ],
      "execution_count": 23,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HDFu7iF3Nrm7",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def predict_labels(X):\n",
        "  X = torch.tensor(np.array(X.reshape(1, 256, 256, 3))) \n",
        "  X = X.permute(0, 3, 1, 2)\n",
        "  X = torch.true_divide(X, 256)\n",
        "  with torch.no_grad():\n",
        "    output = model(X)\n",
        "    predict = F.softmax(output.data, dim=1)\n",
        "    predict = torch.argmax(predict, dim=1, keepdims=True)\n",
        "  return \"Meme\" if predict == torch.tensor([[0]]) else \"Note\""
      ],
      "execution_count": 26,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GryetV03LmzV",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "inputs = gr.inputs.Image(shape=(256, 256, 3))\n",
        "outputs = gr.outputs.Label(num_top_classes=3)\n",
        "gr.Interface(fn=predict_labels, inputs=inputs, outputs=outputs).launch()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "sjA7_WsjKUoS",
        "colab_type": "text"
      },
      "source": [
        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)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "WQbmiQSiKpKd",
        "colab_type": "text"
      },
      "source": [
        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)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-2DTKcULZgr-",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}