05: Zero_Shot_Classification_with_HuggingFace_Pipeline.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Zero_Shot_Classification_with_HuggingFace_Pipeline.ipynb",
      "provenance": [],
      "authorship_tag": "ABX9TyOjvRBLTAS9pvLBbcg2i8e0",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/gulabpatel/NLP_transformers/blob/main/Zero_Shot_Classification_with_HuggingFace_Pipeline_3.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "SNUF6VIPUMl8"
      },
      "source": [
        "In this Notebook, Zero Shot classification for text data is discusse. Video help is available [here](https://www.youtube.com/watch?v=J6D-S9gfgwk)."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Mg5NcutuRBTh"
      },
      "source": [
        "!pip install transformers"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vIDTyn9yRXyA"
      },
      "source": [
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "from transformers import pipeline\n",
        "from pylab import rcParams\n",
        "rcParams['figure.figsize'] = 10, 5"
      ],
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "F-zWgULXRvQl"
      },
      "source": [
        "zero_shot_classifier = pipeline('zero-shot-classification')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "TTTm-Ii2TxjX"
      },
      "source": [
        "**Query 1**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kZBrv9hTR29K"
      },
      "source": [
        "result = zero_shot_classifier(\n",
        "    sequences = \"Can you oder some pizza\",\n",
        "    candidate_labels = [\"Flight Travel\", \"Cabs Travel\", \"Food\", \"Movies\"],\n",
        "    multi_label = True\n",
        ")"
      ],
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 320
        },
        "id": "gvoKyGJ2SXMF",
        "outputId": "e054fe02-8002-4af9-aa48-bc810b83a675"
      },
      "source": [
        "plt.bar(result[\"labels\"], result[\"scores\"])\n",
        "plt.yticks(list(np.arange(0,1,0.1)))\n",
        "plt.show()"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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JkhoMFaaSrE+yP8lskm3zbH9aks8mOZrkotGXKUmSNJ4WDFNJlgA7gQuAtcDmJGsHuv0dcDHwgVEXKEmSNM6WDtFnHTBbVQcAkuwGNgI3HetQVbd02/5xEWqUJEkaW8Oc5lsOHOxbP9S1SZIk3eud0gvQk2xJMpNkZm5u7lQOLUmStCiGCVOHgZV96yu6trutqnZV1WRVTU5MTJzMLiRJksbKMGFqL7Amyeoky4BNwNTiliVJknRmWDBMVdVRYCuwB7gZuKyq9iXZkWQDQJIfTXIIeD7wziT7FrNoSZKkcTHMX/NRVdPA9EDb9r7lvfRO/0mSJN2reAd0SZKkBoYpSZKkBoYpSZKkBoYpSZKkBoYpSZKkBoYpSZKkBoYpSZKkBoYpSZKkBoYpSZKkBoYpSZKkBoYpSZKkBoYpSZKkBoYpSZKkBoYpSZKkBoYpSZKkBoYpSZKkBoYpSZKkBkOFqSTrk+xPMptk2zzbvy/Jpd32q5OsGnWhkiRJ42jBMJVkCbATuABYC2xOsnag20uAW6vqR4DfAX5z1IVKkiSNo2FmptYBs1V1oKqOALuBjQN9NgLv6ZYvB56ZJKMrU5IkaTwNE6aWAwf71g91bfP2qaqjwNeBs0ZRoCRJ0jhbeioHS7IF2NKtfjPJ/lM5/j3I2cBXTncRoxRPDLe6xx0TGgmPCw3ymDh5Dz/ehmHC1GFgZd/6iq5tvj6HkiwFHgx8dXBHVbUL2DXEmDqBJDNVNXm669D48JjQfDwuNMhjYnEMc5pvL7Amyeoky4BNwNRAnyngRd3yRcAVVVWjK1OSJGk8LTgzVVVHk2wF9gBLgEuqal+SHcBMVU0BfwS8L8ks8DV6gUuSJOkeb6hrpqpqGpgeaNvet/xt4PmjLU0n4KlSDfKY0Hw8LjTIY2IRxLNxkiRJJ8/HyUiSJDUwTI2JJLcnua7va1Xj/lYl+dxoqtPJSPKDSXYn+esk1ySZTvLIE/Q/qZ9Zkhf3HTdHktzYLb+p7V9w3PHeneSixdj3PdV8r+8k5yf5H932DfM9qmtgH3f0n2fbK5P8k3naP9yNN5vk633j/9ho/mV3Ge+bi7FffU+SSvL+vvWlSeaOd2wMsb+XJfk3o6vw3umU3mdKJ/StqnrC6S5Co9E9AeDDwHuqalPX9njgYcAXRjlWVb0LeFc3xi3AM6rqTveRSbKkqm4f5bi6W+7y+u7/han7Q57Bv5K+O14JvB/4h/7GqrqwG+t84NVV9bMDNSztbrSsM8ffA49Ncv+q+hbwbO56u6KhVdUfjKyyezFnpsZYkickuSrJDd1vmD+wQPt5Sa5Pcj3w8tNavJ4BfLf/jaqqrq+qTyZ5YJKPJ/lsN4vU/3impUn+OMnNSS4/NtuQ5E1Jbup+5m8ZpoAk30zy293x8JQk25PsTfK5JLvS86gkf9X3PauS3Ngtn5fkE92s2p4kPzSS/zO6iyQXJ3l7t/yI7vV9Y5JfG5jteWB3XHy+O06S5BeBHwauTHLlkGNNJbkC+PjxjsfumHt53/e9Icmru+Vf7Y6lG5K8cZT/LzSUaeA53fJm4IPHNiT5p0n+pPvZXJXk3CT3SXJLkof09ftikocN/FwfkeQj3Wv+k0ke1bU/v3vfuD7JX57Cf+cZwzA1Pu7fNwX/4a7tvcBrqupc4EbgPy7Q/i7gFVX1+FNZuOb1WOCa42z7NnBhVT2JXuj67W4mC+CfA++oqkcD3wD+XZKzgAuBx3Q/818bsoYHAFdX1eOr6lPA26vqR6vqscD9gZ+tqs8Dy5Ks7r7nXwKXJrkv8F+Ai6rqPOAS4NeH/+drwHyv7+P5PeD3qupx9B7f1e+J9Gah1gL/DHhqVb0N+BK9GclnDFnPk+j9bJ/O8Y/HS4EX9H3PC+gdGz8FrKH33NYnAOcledqQ42o0dgObktwPOBe4um/bG4Fru/eKfw+8t6r+EfhTeu8jJHky8LdV9X8H9ruL3mfIecCrgXd07duBn+4+WzYs0r/pjGaYGh/fqqondF8XJnkw8JCq+kS3/T3A007Q/pCu/dhvDe87teXrbgjwn5PcAPwves+2fFi37WBVfbpbfj/w4/Sedflt4I+SPJeBUzkncDvw3/rWn5Hk6m7m6SeBx3Ttl9ELUXT/vZReqHss8LEk1wGvp/f0A52cO72+F+j7FOBD3fIHBrb9VVUd6j4crwNWnWQ9H6uqr3XL8x6PVXUt8NAkP5zeKepbq+og8FPd17XAZ4FH0QtXOkWq6gZ6P/vNDNy2iN57xvu6flcAZyX5fnqv62Ov803d+h2SPBD4MeBD3Wv+ncCx2ehPA+9O8lJ695vUAK+ZkhbHPnpPA5jPC4EJ4Lyq+m561zndr9s2eK+S6m6cuw54ZrfPrfTC0EK+few6qe432HcAk1V1MMkb+sa8lN4b6H/vxvtikscB+6rqKUOMo1PnO33Lt3Py7+F/37d8ouPxQ/SOuR/kex++AX6jqt55kmNrNKaAtwDnA2cN0f8zwI8kmQB+jrvOcN8HuG2+a3er6mXdbNZzgGuSnFdVd3lk3L2ZM1Njqqq+Dtya5Ce6pn8NfOIE7bcBtyX58a79hae2Yg24Avi+9B7uDUB37cJP0Ht25Ze7D65ncOeHZ56T5FiA+VfAp7rfGB/c3Tz3l4GTOY177MPxK93+7gh6VfXX9D6Y/wPf+8DcD0wcqyXJfZM8Bp0KVwHP65aHfZrE/wMedJLjneh4vLSr4SK+N1u2B/iF7jgiyfIkDz3JsXXyLgHeWFU3DrR/ku79P70/PPhKVX2je8Tbh4G3AjcPhqGq+gbwN0me331vuhlJkjyiqq7ubtY9x52f1yucmRp3LwL+IL2LkA8AL16g/cXAJUkK+OipLlbfU1WV5ELgd5O8ht5pulvoXe/yx8CfdafbZoDP933rfuDlSS4BbgJ+n96H3Z92s0sBXnUS9dyW5A+BzwH/h94zN/tdCrwZWN31P5Le7Q/e1p1aXgr8Lr0ZNy2uVwLvT/I64CP0TvMuZBfwkSRfuhvXTR1z3OOxe3TYg4DDVfW/u7aPJnk08JnuUr9vAj8PfPlujqsGVXUIeNs8m95A73PgBnqXBLyob9ul9F77Fx9nty8Efj/J64H70rs263rgzUnW0Hv/+XjXpj7eAV2Sxkj3S9K3ukC+CdhcVRsX+j5Jp48zU5I0Xs4D3t79Rd1twC+c5nokLcCZKUmSpAZegC5JktTAMCVJktTAMCVJktTAMCVJktTAMCVJktTAMCVJktTg/wNHFQ28wxXkNgAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 720x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-QnqCOBTTuZG"
      },
      "source": [
        "**Query 2**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qQD2naQMS63k",
        "outputId": "c4c08151-821a-4367-f964-cc019fd8286c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 320
        }
      },
      "source": [
        "result = zero_shot_classifier(\n",
        "    sequences = \"Can you oder some pizza & book an Uber to nearest Cinema house at 10PM\",\n",
        "    candidate_labels = [\"Flight Travel\", \"Cabs Travel\", \"Food\", \"Movies\"],\n",
        "    multi_label = True\n",
        ")\n",
        "\n",
        "plt.bar(result[\"labels\"], result[\"scores\"])\n",
        "plt.yticks(list(np.arange(0,1,0.1)))\n",
        "plt.show()"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "f70ocLNdTrKW"
      },
      "source": [
        "**Query 3**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "a0k7znl0S6v8",
        "outputId": "ae0f800c-cc97-451f-d808-2458740e998d",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 320
        }
      },
      "source": [
        "result = zero_shot_classifier(\n",
        "    sequences = \"Can you oder some pizza & book an Uber once my Flight reaches Mumbai to the nearest Cinema house at 10PM\",\n",
        "    candidate_labels = [\"Flight Travel\", \"Cabs Travel\", \"Food\", \"Movies\"],\n",
        "    multi_label = True\n",
        ")\n",
        "\n",
        "plt.bar(result[\"labels\"], result[\"scores\"])\n",
        "plt.yticks(list(np.arange(0,1,0.1)))\n",
        "plt.show()"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "lGkZ-VsYSyZ_"
      },
      "source": [
        "--------------------------------"
      ]
    }
  ]
}