NLPWithTransformer.ipynb

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  "cells": [
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      "cell_type": "markdown",
      "source": [
        "# Hello Transformers"
      ],
      "metadata": {
        "id": "WEnTgiIlB1U3"
      }
    },
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      "cell_type": "code",
      "source": [
        "!pip install transformers[sentencepiece]"
      ],
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        "id": "UOgokZtn-Cwz",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "5dcdc5ae-acab-4d67-d65b-77829f935f2e"
      },
      "execution_count": 1,
      "outputs": [
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          "name": "stdout",
          "text": [
            "Collecting transformers[sentencepiece]\n",
            "  Downloading transformers-4.17.0-py3-none-any.whl (3.8 MB)\n",
            "\u001b[K     |████████████████████████████████| 3.8 MB 5.5 MB/s \n",
            "\u001b[?25hRequirement already satisfied: filelock in /usr/local/lib/python3.7/dist-packages (from transformers[sentencepiece]) (3.6.0)\n",
            "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.7/dist-packages (from transformers[sentencepiece]) (21.3)\n",
            "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.7/dist-packages (from transformers[sentencepiece]) (2019.12.20)\n",
            "Collecting huggingface-hub<1.0,>=0.1.0\n",
            "  Downloading huggingface_hub-0.4.0-py3-none-any.whl (67 kB)\n",
            "\u001b[K     |████████████████████████████████| 67 kB 5.1 MB/s \n",
            "\u001b[?25hRequirement already satisfied: requests in /usr/local/lib/python3.7/dist-packages (from transformers[sentencepiece]) (2.23.0)\n",
            "Requirement already satisfied: importlib-metadata in /usr/local/lib/python3.7/dist-packages (from transformers[sentencepiece]) (4.11.2)\n",
            "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.7/dist-packages (from transformers[sentencepiece]) (1.21.5)\n",
            "Collecting pyyaml>=5.1\n",
            "  Downloading PyYAML-6.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (596 kB)\n",
            "\u001b[K     |████████████████████████████████| 596 kB 52.8 MB/s \n",
            "\u001b[?25hCollecting tokenizers!=0.11.3,>=0.11.1\n",
            "  Downloading tokenizers-0.11.6-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (6.5 MB)\n",
            "\u001b[K     |████████████████████████████████| 6.5 MB 36.4 MB/s \n",
            "\u001b[?25hRequirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.7/dist-packages (from transformers[sentencepiece]) (4.63.0)\n",
            "Collecting sacremoses\n",
            "  Downloading sacremoses-0.0.47-py2.py3-none-any.whl (895 kB)\n",
            "\u001b[K     |████████████████████████████████| 895 kB 37.6 MB/s \n",
            "\u001b[?25hCollecting sentencepiece!=0.1.92,>=0.1.91\n",
            "  Downloading sentencepiece-0.1.96-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.2 MB)\n",
            "\u001b[K     |████████████████████████████████| 1.2 MB 33.8 MB/s \n",
            "\u001b[?25hRequirement already satisfied: protobuf in /usr/local/lib/python3.7/dist-packages (from transformers[sentencepiece]) (3.17.3)\n",
            "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.7/dist-packages (from huggingface-hub<1.0,>=0.1.0->transformers[sentencepiece]) (3.10.0.2)\n",
            "Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.7/dist-packages (from packaging>=20.0->transformers[sentencepiece]) (3.0.7)\n",
            "Requirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.7/dist-packages (from importlib-metadata->transformers[sentencepiece]) (3.7.0)\n",
            "Requirement already satisfied: six>=1.9 in /usr/local/lib/python3.7/dist-packages (from protobuf->transformers[sentencepiece]) (1.15.0)\n",
            "Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests->transformers[sentencepiece]) (2.10)\n",
            "Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.7/dist-packages (from requests->transformers[sentencepiece]) (3.0.4)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.7/dist-packages (from requests->transformers[sentencepiece]) (2021.10.8)\n",
            "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.7/dist-packages (from requests->transformers[sentencepiece]) (1.24.3)\n",
            "Requirement already satisfied: click in /usr/local/lib/python3.7/dist-packages (from sacremoses->transformers[sentencepiece]) (7.1.2)\n",
            "Requirement already satisfied: joblib in /usr/local/lib/python3.7/dist-packages (from sacremoses->transformers[sentencepiece]) (1.1.0)\n",
            "Installing collected packages: pyyaml, tokenizers, sacremoses, huggingface-hub, transformers, sentencepiece\n",
            "  Attempting uninstall: pyyaml\n",
            "    Found existing installation: PyYAML 3.13\n",
            "    Uninstalling PyYAML-3.13:\n",
            "      Successfully uninstalled PyYAML-3.13\n",
            "Successfully installed huggingface-hub-0.4.0 pyyaml-6.0 sacremoses-0.0.47 sentencepiece-0.1.96 tokenizers-0.11.6 transformers-4.17.0\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#!pip install transformers"
      ],
      "metadata": {
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        },
        "id": "8aynSCxf_DUf",
        "outputId": "ad228393-a923-4b72-9100-1b76c1c2bd36"
      },
      "execution_count": 4,
      "outputs": [
        {
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          "name": "stdout",
          "text": [
            "Requirement already satisfied: transformers in /usr/local/lib/python3.7/dist-packages (4.17.0)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.7/dist-packages (from transformers) (2.23.0)\n",
            "Requirement already satisfied: sacremoses in /usr/local/lib/python3.7/dist-packages (from transformers) (0.0.47)\n",
            "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.7/dist-packages (from transformers) (1.21.5)\n",
            "Requirement already satisfied: importlib-metadata in /usr/local/lib/python3.7/dist-packages (from transformers) (4.11.2)\n",
            "Requirement already satisfied: filelock in /usr/local/lib/python3.7/dist-packages (from transformers) (3.6.0)\n",
            "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.7/dist-packages (from transformers) (6.0)\n",
            "Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.7/dist-packages (from transformers) (4.63.0)\n",
            "Requirement already satisfied: huggingface-hub<1.0,>=0.1.0 in /usr/local/lib/python3.7/dist-packages (from transformers) (0.4.0)\n",
            "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.7/dist-packages (from transformers) (2019.12.20)\n",
            "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.7/dist-packages (from transformers) (21.3)\n",
            "Requirement already satisfied: tokenizers!=0.11.3,>=0.11.1 in /usr/local/lib/python3.7/dist-packages (from transformers) (0.11.6)\n",
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            "Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.7/dist-packages (from requests->transformers) (3.0.4)\n",
            "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.7/dist-packages (from requests->transformers) (1.24.3)\n",
            "Requirement already satisfied: click in /usr/local/lib/python3.7/dist-packages (from sacremoses->transformers) (7.1.2)\n",
            "Requirement already satisfied: six in /usr/local/lib/python3.7/dist-packages (from sacremoses->transformers) (1.15.0)\n",
            "Requirement already satisfied: joblib in /usr/local/lib/python3.7/dist-packages (from sacremoses->transformers) (1.1.0)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd"
      ],
      "metadata": {
        "id": "MFAYRjcX-Qh7"
      },
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "id": "sSd-6NyA98Xx"
      },
      "outputs": [],
      "source": [
        "from transformers import pipeline"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "classifier = pipeline(\"text-classification\")"
      ],
      "metadata": {
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        {
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      "execution_count": 7,
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        {
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          "text": [
            "No model was supplied, defaulted to dbmdz/bert-large-cased-finetuned-conll03-english (https://huggingface.co/dbmdz/bert-large-cased-finetuned-conll03-english)\n"
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    {
      "cell_type": "code",
      "source": [
        "text = \"\"\"Dear Amazon, last week I ordered an Optimus Prime action figure\n",
        "from your online store in Germany. Unfortunately, when I opened the package,\n",
        "I discovered to my horror that I had been sent an action figure of Megatron\n",
        "instead! As a lifelong enemy of the Decepticons, I hope you can understand my\n",
        "dilemma. To resolve the issue, I demand an exchange of Megatron for the\n",
        "Optimus Prime figure I ordered. Enclosed are copies of my records concerning\n",
        "this purchase. I expect to hear from you soon. Sincerely, Bumblebee.\"\"\""
      ],
      "metadata": {
        "id": "hLRLLw3P-NXj"
      },
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Classifier"
      ],
      "metadata": {
        "id": "3FA_xiXK5HFx"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "outputs = classifier(text)"
      ],
      "metadata": {
        "id": "r96QYTBX-YIe"
      },
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "output_ner = ner_tagger(text)"
      ],
      "metadata": {
        "id": "NNDFKuS6--61"
      },
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "ner_df = pd.DataFrame(output_ner)"
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      "metadata": {
        "id": "N79_0iQc-YNJ"
      },
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "ner_df"
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      "metadata": {
        "colab": {
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          "height": 363
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        "id": "MHc_KHS64inx",
        "outputId": "3fede4a3-ce91-47f3-c701-1ad0302d762d"
      },
      "execution_count": 12,
      "outputs": [
        {
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              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-040abad7-5d68-436e-9422-0af40499483f');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
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              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "  entity_group     score           word  start  end\n",
              "0          ORG  0.879010         Amazon      5   11\n",
              "1         MISC  0.990859  Optimus Prime     36   49\n",
              "2          LOC  0.999755        Germany     90   97\n",
              "3         MISC  0.556570           Mega    208  212\n",
              "4          PER  0.590256         ##tron    212  216\n",
              "5          ORG  0.669692         Decept    253  259\n",
              "6         MISC  0.498349        ##icons    259  264\n",
              "7         MISC  0.775362       Megatron    350  358\n",
              "8         MISC  0.987854  Optimus Prime    367  380\n",
              "9          PER  0.812096      Bumblebee    502  511"
            ]
          },
          "metadata": {},
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Question Answering"
      ],
      "metadata": {
        "id": "1qEGNuv25CAR"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "reader = pipeline(\"question-answering\")"
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      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "No model was supplied, defaulted to distilbert-base-cased-distilled-squad (https://huggingface.co/distilbert-base-cased-distilled-squad)\n"
          ]
        },
        {
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        {
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        {
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    {
      "cell_type": "code",
      "source": [
        "question = \"What does the customer want?\""
      ],
      "metadata": {
        "id": "49O7uuNF4tEa"
      },
      "execution_count": 14,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "outputs = reader(question=question, context=text)"
      ],
      "metadata": {
        "id": "QJA66-OV4tHO"
      },
      "execution_count": 15,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "pd.DataFrame([outputs])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 81
        },
        "id": "9ZTIIjZ-4tKE",
        "outputId": "1d571599-f89d-48ae-9707-a7c1fe95eca9"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <td>358</td>\n",
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              "          const element = document.querySelector('#df-96e0f214-fedf-405d-8c6a-4f71cd6b6b89');\n",
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              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
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              "            + ' to learn more about interactive tables.';\n",
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            "text/plain": [
              "      score  start  end                   answer\n",
              "0  0.631292    335  358  an exchange of Megatron"
            ]
          },
          "metadata": {},
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Summarization"
      ],
      "metadata": {
        "id": "MOwrueT58qc9"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "summarizer = pipeline(\"summarization\")"
      ],
      "metadata": {
        "id": "IuiN5o7R4tOi",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 150,
          "referenced_widgets": [
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      "execution_count": 17,
      "outputs": [
        {
          "metadata": {
            "tags": null
          },
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "No model was supplied, defaulted to sshleifer/distilbart-cnn-12-6 (https://huggingface.co/sshleifer/distilbart-cnn-12-6)\n"
          ]
        },
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        {
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          "metadata": {},
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    },
    {
      "cell_type": "code",
      "source": [
        "outputs = summarizer(text, max_length=45, clean_up_tokenization_spaces=True)"
      ],
      "metadata": {
        "id": "mKPYO2Tu81r3",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "837268dd-c7b1-4c7f-f94f-256e150b5696"
      },
      "execution_count": 18,
      "outputs": [
        {
          "metadata": {
            "tags": null
          },
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "Your min_length=56 must be inferior than your max_length=45.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(outputs[0]['summary_text'])"
      ],
      "metadata": {
        "id": "daTlNN1R81uL",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "19c2bf8f-1fa6-4fef-d102-07fb6ca7ecbe"
      },
      "execution_count": 19,
      "outputs": [
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            " Bumblebee ordered an Optimus Prime action figure from your online store in Germany. Unfortunately, when I opened the package, I discovered to my horror that I had been sent an action figure of Megatron instead.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Translation\n"
      ],
      "metadata": {
        "id": "aITShlok8qgq"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "translator = pipeline(\"translation_en_to_de\", model=\"Helsinki-NLP/opus-mt-en-de\")"
      ],
      "metadata": {
        "id": "6IJo-T-l81ww"
      },
      "execution_count": 29,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "outputs = translator(text, clean_up_tokenization_spaces=True, min_length=100)"
      ],
      "metadata": {
        "id": "DaOEGZCH81y1"
      },
      "execution_count": 30,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(outputs[0]['translation_text'])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "f901roWJ9stn",
        "outputId": "07a52854-116e-436f-bfdb-610e88f136b7"
      },
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Sehr geehrter Amazon, letzte Woche habe ich eine Optimus Prime Action Figur aus Ihrem Online-Shop in Deutschland bestellt. Leider, als ich das Paket öffnete, entdeckte ich zu meinem Entsetzen, dass ich stattdessen eine Action Figur von Megatron geschickt worden war! Als lebenslanger Feind der Decepticons, Ich hoffe, Sie können mein Dilemma verstehen. Um das Problem zu lösen, Ich fordere einen Austausch von Megatron für die Optimus Prime Figur habe ich bestellt. Anbei sind Kopien meiner Aufzeichnungen über diesen Kauf. Ich erwarte, bald von Ihnen zu hören. Aufrichtig, Bumblebee.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Text Generation"
      ],
      "metadata": {
        "id": "O02jK7wi-GMr"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "generator = pipeline(\"text-generation\")"
      ],
      "metadata": {
        "id": "iH5hdsSg-KJ3"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "response = \"Dear Bumblebee, I am sorry to hear that your order was mixed up.\""
      ],
      "metadata": {
        "id": "1sRrKgnQ-KMC"
      },
      "execution_count": 24,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "prompt = text + \"\\n\\nCustomer service response:\\n\" + response"
      ],
      "metadata": {
        "id": "K2O4y50T-KOY"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "outputs = generator(prompt, max_length=400)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ELhQUjeN-Qal",
        "outputId": "71da76c2-8fbf-4096-f8a3-5358f5285188"
      },
      "execution_count": 26,
      "outputs": [
        {
          "metadata": {
            "tags": null
          },
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "Setting `pad_token_id` to `eos_token_id`:50256 for open-end generation.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(outputs)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "BUETU26N-Qcu",
        "outputId": "ca10b239-a900-4a60-897f-4f4e8ba811c6"
      },
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[{'generated_text': \"Dear Amazon, last week I ordered an Optimus Prime action figure\\nfrom your online store in Germany. Unfortunately, when I opened the package,\\nI discovered to my horror that I had been sent an action figure of Megatron\\ninstead! As a lifelong enemy of the Decepticons, I hope you can understand my\\ndilemma. To resolve the issue, I demand an exchange of Megatron for the\\nOptimus Prime figure I ordered. Enclosed are copies of my records concerning\\nthis purchase. I expect to hear from you soon. Sincerely, Bumblebee.\\n\\nCustomer service response:\\nDear Bumblebee, I am sorry to hear that your order was mixed up. You know the drill, the more your order gets\\n\\nmore ambiguous.\\n\\nI'm sorry... I'd like that to end here...\\n\\nThank you for your understanding.\\n\\nBumblebee.\\n\\nThank you for the patience.\\n\\nThank you for continuing your continued service.\\n\\nThank you for looking.\\n\\nThank you for emailing me. After you have accepted the\\n\\npreferred terms, my name will be changed to Dr. Bumblebee.Thank You.\\n\\nThank you for your continued service.\\n\\nThank you for waiting so long\"}]\n"
          ]
        }
      ]
    }
  ]
}