DocSum.ipynb

{
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  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "DocSum.ipynb",
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "code",
      "metadata": {
        "id": "35yqmsUSa1Zy",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "5da69398-16f5-4310-e13b-34aad5018141"
      },
      "source": [
        "!nvidia-smi -L"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "GPU 0: Tesla K80 (UUID: GPU-8bb91a64-3a0a-bc15-fdfd-9d11f8c3013f)\n"
          ],
          "name": "stdout"
        }
      ]
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    {
      "cell_type": "code",
      "metadata": {
        "id": "NLJ6mALYWexB",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 766
        },
        "outputId": "c245b577-cc1c-433e-bb46-72c66c77134c"
      },
      "source": [
        "!pip install torch tqdm unidecode regex requests appdirs gdown transformers"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Requirement already satisfied: torch in /usr/local/lib/python3.6/dist-packages (1.5.1+cu101)\n",
            "Requirement already satisfied: tqdm in /usr/local/lib/python3.6/dist-packages (4.41.1)\n",
            "Collecting unidecode\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/d0/42/d9edfed04228bacea2d824904cae367ee9efd05e6cce7ceaaedd0b0ad964/Unidecode-1.1.1-py2.py3-none-any.whl (238kB)\n",
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            "Collecting appdirs\n",
            "  Downloading https://files.pythonhosted.org/packages/3b/00/2344469e2084fb287c2e0b57b72910309874c3245463acd6cf5e3db69324/appdirs-1.4.4-py2.py3-none-any.whl\n",
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            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/9c/35/1c3f6e62d81f5f0daff1384e6d5e6c5758682a8357ebc765ece2b9def62b/transformers-3.0.0-py3-none-any.whl (754kB)\n",
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            "Collecting tokenizers==0.8.0-rc4\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/e8/bd/e5abec46af977c8a1375c1dca7cb1e5b3ec392ef279067af7f6bc50491a0/tokenizers-0.8.0rc4-cp36-cp36m-manylinux1_x86_64.whl (3.0MB)\n",
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            "Collecting sacremoses\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/7d/34/09d19aff26edcc8eb2a01bed8e98f13a1537005d31e95233fd48216eed10/sacremoses-0.0.43.tar.gz (883kB)\n",
            "\u001b[K     |████████████████████████████████| 890kB 31.5MB/s \n",
            "\u001b[?25hCollecting sentencepiece\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/d4/a4/d0a884c4300004a78cca907a6ff9a5e9fe4f090f5d95ab341c53d28cbc58/sentencepiece-0.1.91-cp36-cp36m-manylinux1_x86_64.whl (1.1MB)\n",
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            "Building wheels for collected packages: sacremoses\n",
            "  Building wheel for sacremoses (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for sacremoses: filename=sacremoses-0.0.43-cp36-none-any.whl size=893260 sha256=32d8ee3cd0705aaff0d466792d36f848be2496f9b961d75e51cc3b5e4c25796e\n",
            "  Stored in directory: /root/.cache/pip/wheels/29/3c/fd/7ce5c3f0666dab31a50123635e6fb5e19ceb42ce38d4e58f45\n",
            "Successfully built sacremoses\n",
            "Installing collected packages: unidecode, appdirs, tokenizers, sacremoses, sentencepiece, transformers\n",
            "Successfully installed appdirs-1.4.4 sacremoses-0.0.43 sentencepiece-0.1.91 tokenizers-0.8.0rc4 transformers-3.0.0 unidecode-1.1.1\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "SAkPHsIkVzij",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 610
        },
        "outputId": "8f637070-485d-4c6b-a2ef-1f5ca1afd930"
      },
      "source": [
        "!sudo apt install poppler-utils\n",
        "!git clone https://github.com/HHousen/docsum.git\n",
        "%cd docsum"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Reading package lists... Done\n",
            "Building dependency tree       \n",
            "Reading state information... Done\n",
            "The following package was automatically installed and is no longer required:\n",
            "  libnvidia-common-440\n",
            "Use 'sudo apt autoremove' to remove it.\n",
            "The following NEW packages will be installed:\n",
            "  poppler-utils\n",
            "0 upgraded, 1 newly installed, 0 to remove and 33 not upgraded.\n",
            "Need to get 154 kB of archives.\n",
            "After this operation, 613 kB of additional disk space will be used.\n",
            "Get:1 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 poppler-utils amd64 0.62.0-2ubuntu2.10 [154 kB]\n",
            "Fetched 154 kB in 1s (285 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 76, <> line 1.)\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 poppler-utils.\n",
            "(Reading database ... 144379 files and directories currently installed.)\n",
            "Preparing to unpack .../poppler-utils_0.62.0-2ubuntu2.10_amd64.deb ...\n",
            "Unpacking poppler-utils (0.62.0-2ubuntu2.10) ...\n",
            "Setting up poppler-utils (0.62.0-2ubuntu2.10) ...\n",
            "Processing triggers for man-db (2.8.3-2ubuntu0.1) ...\n",
            "Cloning into 'docsum'...\n",
            "remote: Enumerating objects: 78, done.\u001b[K\n",
            "remote: Counting objects: 100% (78/78), done.\u001b[K\n",
            "remote: Compressing objects: 100% (50/50), done.\u001b[K\n",
            "remote: Total 78 (delta 43), reused 62 (delta 27), pack-reused 0\u001b[K\n",
            "Unpacking objects: 100% (78/78), done.\n",
            "/content/docsum\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0dJpH3-wV2cU",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "a37c84bd-bbaa-49cd-b782-aa53480e254b"
      },
      "source": [
        "!python cmd_summarizer.py -m bart --text \"Alice was beginning to get very tired of sitting by her sister on the bank, and of having nothing to do: once or twice she had peeped into the book her sister was reading, but it had no pictures or conversations in it, “and what is the use of a book,” thought Alice “without pictures or conversations?” So she was considering in her own mind (as well as she could, for the hot day made her feel very sleepy and stupid), whether the pleasure of making a daisy-chain would be worth the trouble of getting up and picking the daisies, when suddenly a White Rabbit with pink eyes ran close by her. There was nothing so very remarkable in that; nor did Alice think it so very much out of the way to hear the Rabbit say to itself, “Oh dear! Oh dear! I shall be late!” (when she thought it over afterwards, it occurred to her that she ought to have wondered at this, but at the time it all seemed quite natural); but when the Rabbit actually took a watch out of its waistcoat-pocket, and looked at it, and then hurried on, Alice started to her feet, for it flashed across her mind that she had never before seen a rabbit with either a waistcoat-pocket, or a watch to take out of it, and burning with curiosity, she ran across the field after it, and fortunately was just in time to see it pop down a large rabbit-hole under the hedge. In another moment down went Alice after it, never once considering how in the world she was to get out again. The rabbit-hole went straight on like a tunnel for some way, and then dipped suddenly down, so suddenly that Alice had not a moment to think about stopping herself before she found herself falling down a very deep well. Either the well was very deep, or she fell very slowly, for she had plenty of time as she went down to look about her and to wonder what was going to happen next. First, she tried to look down and make out what she was coming to, but it was too dark to see anything; then she looked at the sides of the well, and noticed that they were filled with cupboards and book-shelves; here and there she saw maps and pictures hung upon pegs. She took down a jar from one of the shelves as she passed; it was labelled “ORANGE MARMALADE”, but to her great disappointment it was empty: she did not like to drop the jar for fear of killing somebody underneath, so managed to put it into one of the cupboards as she fell past it. “Well!” thought Alice to herself, “after such a fall as this, I shall think nothing of tumbling down stairs! How brave they’ll all think me at home! Why, I wouldn’t say anything about it, even if I fell off the top of the house!” (Which was very likely true.)\""
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "2020-06-29 19:20:45.759234: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1\n",
            "2020-06-29 19:20:48,017|__main__|INFO> Loading Model\n",
            "2020-06-29 19:20:48,205|filelock|INFO> Lock 140437094268264 acquired on /root/.cache/torch/transformers/5f0de1d2bbb8eb1a3b69656622293b3328b06b701663a9d4109359751cb4e739.5e72c6158467741b29afbcad014cd97414f17a191d39253eef90d7bfe969cc1f.lock\n",
            "2020-06-29 19:20:48,205|transformers.file_utils|INFO> https://s3.amazonaws.com/models.huggingface.co/bert/facebook/bart-large-cnn/config.json not found in cache or force_download set to True, downloading to /root/.cache/torch/transformers/tmpnbq7mikg\n",
            "Downloading: 100% 1.30k/1.30k [00:00<00:00, 1.01MB/s]\n",
            "2020-06-29 19:20:48,298|transformers.file_utils|INFO> storing https://s3.amazonaws.com/models.huggingface.co/bert/facebook/bart-large-cnn/config.json in cache at /root/.cache/torch/transformers/5f0de1d2bbb8eb1a3b69656622293b3328b06b701663a9d4109359751cb4e739.5e72c6158467741b29afbcad014cd97414f17a191d39253eef90d7bfe969cc1f\n",
            "2020-06-29 19:20:48,298|transformers.file_utils|INFO> creating metadata file for /root/.cache/torch/transformers/5f0de1d2bbb8eb1a3b69656622293b3328b06b701663a9d4109359751cb4e739.5e72c6158467741b29afbcad014cd97414f17a191d39253eef90d7bfe969cc1f\n",
            "2020-06-29 19:20:48,299|filelock|INFO> Lock 140437094268264 released on /root/.cache/torch/transformers/5f0de1d2bbb8eb1a3b69656622293b3328b06b701663a9d4109359751cb4e739.5e72c6158467741b29afbcad014cd97414f17a191d39253eef90d7bfe969cc1f.lock\n",
            "2020-06-29 19:20:48,299|transformers.configuration_utils|INFO> loading configuration file https://s3.amazonaws.com/models.huggingface.co/bert/facebook/bart-large-cnn/config.json from cache at /root/.cache/torch/transformers/5f0de1d2bbb8eb1a3b69656622293b3328b06b701663a9d4109359751cb4e739.5e72c6158467741b29afbcad014cd97414f17a191d39253eef90d7bfe969cc1f\n",
            "2020-06-29 19:20:48,300|transformers.configuration_utils|INFO> Model config BartConfig {\n",
            "  \"_num_labels\": 3,\n",
            "  \"activation_dropout\": 0.0,\n",
            "  \"activation_function\": \"gelu\",\n",
            "  \"add_bias_logits\": false,\n",
            "  \"add_final_layer_norm\": false,\n",
            "  \"attention_dropout\": 0.0,\n",
            "  \"bos_token_id\": 0,\n",
            "  \"classif_dropout\": 0.0,\n",
            "  \"d_model\": 1024,\n",
            "  \"decoder_attention_heads\": 16,\n",
            "  \"decoder_ffn_dim\": 4096,\n",
            "  \"decoder_layerdrop\": 0.0,\n",
            "  \"decoder_layers\": 12,\n",
            "  \"decoder_start_token_id\": 2,\n",
            "  \"dropout\": 0.1,\n",
            "  \"early_stopping\": true,\n",
            "  \"encoder_attention_heads\": 16,\n",
            "  \"encoder_ffn_dim\": 4096,\n",
            "  \"encoder_layerdrop\": 0.0,\n",
            "  \"encoder_layers\": 12,\n",
            "  \"eos_token_id\": 2,\n",
            "  \"extra_pos_embeddings\": 2,\n",
            "  \"id2label\": {\n",
            "    \"0\": \"LABEL_0\",\n",
            "    \"1\": \"LABEL_1\",\n",
            "    \"2\": \"LABEL_2\"\n",
            "  },\n",
            "  \"init_std\": 0.02,\n",
            "  \"is_encoder_decoder\": true,\n",
            "  \"label2id\": {\n",
            "    \"LABEL_0\": 0,\n",
            "    \"LABEL_1\": 1,\n",
            "    \"LABEL_2\": 2\n",
            "  },\n",
            "  \"length_penalty\": 2.0,\n",
            "  \"max_length\": 142,\n",
            "  \"max_position_embeddings\": 1024,\n",
            "  \"min_length\": 56,\n",
            "  \"model_type\": \"bart\",\n",
            "  \"no_repeat_ngram_size\": 3,\n",
            "  \"normalize_before\": false,\n",
            "  \"normalize_embedding\": true,\n",
            "  \"num_beams\": 4,\n",
            "  \"num_hidden_layers\": 12,\n",
            "  \"output_past\": true,\n",
            "  \"pad_token_id\": 1,\n",
            "  \"prefix\": \" \",\n",
            "  \"scale_embedding\": false,\n",
            "  \"static_position_embeddings\": false,\n",
            "  \"task_specific_params\": {\n",
            "    \"summarization\": {\n",
            "      \"early_stopping\": true,\n",
            "      \"length_penalty\": 2.0,\n",
            "      \"max_length\": 142,\n",
            "      \"min_length\": 56,\n",
            "      \"no_repeat_ngram_size\": 3,\n",
            "      \"num_beams\": 4\n",
            "    }\n",
            "  },\n",
            "  \"vocab_size\": 50264\n",
            "}\n",
            "\n",
            "2020-06-29 19:20:48,642|filelock|INFO> Lock 140437092302520 acquired on /root/.cache/torch/transformers/579dd21941940697e1fe35c8963e41bebe3260ff761dc99fe01f2d8f9a699996.73d71f0899e4bd27603a3503868c9f8cf938416df2de374c864a8c3af18f981d.lock\n",
            "2020-06-29 19:20:48,642|transformers.file_utils|INFO> https://cdn.huggingface.co/facebook/bart-large-cnn/pytorch_model.bin not found in cache or force_download set to True, downloading to /root/.cache/torch/transformers/tmp58sahtu_\n",
            "Downloading: 100% 1.63G/1.63G [00:29<00:00, 55.5MB/s]\n",
            "2020-06-29 19:21:18,135|transformers.file_utils|INFO> storing https://cdn.huggingface.co/facebook/bart-large-cnn/pytorch_model.bin in cache at /root/.cache/torch/transformers/579dd21941940697e1fe35c8963e41bebe3260ff761dc99fe01f2d8f9a699996.73d71f0899e4bd27603a3503868c9f8cf938416df2de374c864a8c3af18f981d\n",
            "2020-06-29 19:21:18,136|transformers.file_utils|INFO> creating metadata file for /root/.cache/torch/transformers/579dd21941940697e1fe35c8963e41bebe3260ff761dc99fe01f2d8f9a699996.73d71f0899e4bd27603a3503868c9f8cf938416df2de374c864a8c3af18f981d\n",
            "2020-06-29 19:21:18,136|filelock|INFO> Lock 140437092302520 released on /root/.cache/torch/transformers/579dd21941940697e1fe35c8963e41bebe3260ff761dc99fe01f2d8f9a699996.73d71f0899e4bd27603a3503868c9f8cf938416df2de374c864a8c3af18f981d.lock\n",
            "2020-06-29 19:21:18,136|transformers.modeling_utils|INFO> loading weights file https://cdn.huggingface.co/facebook/bart-large-cnn/pytorch_model.bin from cache at /root/.cache/torch/transformers/579dd21941940697e1fe35c8963e41bebe3260ff761dc99fe01f2d8f9a699996.73d71f0899e4bd27603a3503868c9f8cf938416df2de374c864a8c3af18f981d\n",
            "2020-06-29 19:21:29,667|transformers.modeling_utils|INFO> All model checkpoint weights were used when initializing BartForConditionalGeneration.\n",
            "\n",
            "2020-06-29 19:21:29,667|transformers.modeling_utils|WARNING> Some weights of BartForConditionalGeneration were not initialized from the model checkpoint at facebook/bart-large-cnn and are newly initialized: ['final_logits_bias']\n",
            "You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n",
            "2020-06-29 19:21:30,192|filelock|INFO> Lock 140437093505904 acquired on /root/.cache/torch/transformers/1ae1f5b6e2b22b25ccc04c000bb79ca847aa226d0761536b011cf7e5868f0655.ef00af9e673c7160b4d41cfda1f48c5f4cba57d5142754525572a846a1ab1b9b.lock\n",
            "2020-06-29 19:21:30,192|transformers.file_utils|INFO> https://s3.amazonaws.com/models.huggingface.co/bert/roberta-large-vocab.json not found in cache or force_download set to True, downloading to /root/.cache/torch/transformers/tmpy9c15uft\n",
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            "2020-06-29 19:21:30,350|transformers.file_utils|INFO> storing https://s3.amazonaws.com/models.huggingface.co/bert/roberta-large-vocab.json in cache at /root/.cache/torch/transformers/1ae1f5b6e2b22b25ccc04c000bb79ca847aa226d0761536b011cf7e5868f0655.ef00af9e673c7160b4d41cfda1f48c5f4cba57d5142754525572a846a1ab1b9b\n",
            "2020-06-29 19:21:30,350|transformers.file_utils|INFO> creating metadata file for /root/.cache/torch/transformers/1ae1f5b6e2b22b25ccc04c000bb79ca847aa226d0761536b011cf7e5868f0655.ef00af9e673c7160b4d41cfda1f48c5f4cba57d5142754525572a846a1ab1b9b\n",
            "2020-06-29 19:21:30,351|filelock|INFO> Lock 140437093505904 released on /root/.cache/torch/transformers/1ae1f5b6e2b22b25ccc04c000bb79ca847aa226d0761536b011cf7e5868f0655.ef00af9e673c7160b4d41cfda1f48c5f4cba57d5142754525572a846a1ab1b9b.lock\n",
            "2020-06-29 19:21:30,423|filelock|INFO> Lock 140437093505904 acquired on /root/.cache/torch/transformers/f8f83199a6270d582d6245dc100e99c4155de81c9745c6248077018fe01abcfb.70bec105b4158ed9a1747fea67a43f5dee97855c64d62b6ec3742f4cfdb5feda.lock\n",
            "2020-06-29 19:21:30,424|transformers.file_utils|INFO> https://s3.amazonaws.com/models.huggingface.co/bert/roberta-large-merges.txt not found in cache or force_download set to True, downloading to /root/.cache/torch/transformers/tmp2ueq8f74\n",
            "Downloading: 100% 456k/456k [00:00<00:00, 8.24MB/s]\n",
            "2020-06-29 19:21:30,587|transformers.file_utils|INFO> storing https://s3.amazonaws.com/models.huggingface.co/bert/roberta-large-merges.txt in cache at /root/.cache/torch/transformers/f8f83199a6270d582d6245dc100e99c4155de81c9745c6248077018fe01abcfb.70bec105b4158ed9a1747fea67a43f5dee97855c64d62b6ec3742f4cfdb5feda\n",
            "2020-06-29 19:21:30,587|transformers.file_utils|INFO> creating metadata file for /root/.cache/torch/transformers/f8f83199a6270d582d6245dc100e99c4155de81c9745c6248077018fe01abcfb.70bec105b4158ed9a1747fea67a43f5dee97855c64d62b6ec3742f4cfdb5feda\n",
            "2020-06-29 19:21:30,587|filelock|INFO> Lock 140437093505904 released on /root/.cache/torch/transformers/f8f83199a6270d582d6245dc100e99c4155de81c9745c6248077018fe01abcfb.70bec105b4158ed9a1747fea67a43f5dee97855c64d62b6ec3742f4cfdb5feda.lock\n",
            "2020-06-29 19:21:30,587|transformers.tokenization_utils_base|INFO> loading file https://s3.amazonaws.com/models.huggingface.co/bert/roberta-large-vocab.json from cache at /root/.cache/torch/transformers/1ae1f5b6e2b22b25ccc04c000bb79ca847aa226d0761536b011cf7e5868f0655.ef00af9e673c7160b4d41cfda1f48c5f4cba57d5142754525572a846a1ab1b9b\n",
            "2020-06-29 19:21:30,588|transformers.tokenization_utils_base|INFO> loading file https://s3.amazonaws.com/models.huggingface.co/bert/roberta-large-merges.txt from cache at /root/.cache/torch/transformers/f8f83199a6270d582d6245dc100e99c4155de81c9745c6248077018fe01abcfb.70bec105b4158ed9a1747fea67a43f5dee97855c64d62b6ec3742f4cfdb5feda\n",
            "2020-06-29 19:21:30,671|__main__|INFO> Document Created\n",
            "2020-06-29 19:21:30,671|__main__|INFO> Document Length: 503\n",
            "2020-06-29 19:21:30,671|__main__|INFO> min_len: 83\n",
            "2020-06-29 19:21:30,671|__main__|INFO>  max_len_b: 283\n",
            "2020-06-29 19:21:30,671|transformers.tokenization_utils_base|WARNING> Truncation was not explicitely activated but `max_length` is provided a specific value, please use `truncation=True` to explicitely truncate examples to max length. Defaulting to 'only_first' truncation strategy. If you encode pairs of sequences (GLUE-style) with the tokenizer you may want to check this is the right behavior.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Jn1hfM5IYRGL",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 89
        },
        "outputId": "465db828-ebc7-4a62-8c28-67fb59fb9bc0"
      },
      "source": [
        "!cat summarized.txt"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "\n",
            "2020-06-29 19:21:59.852838:\n",
            "Alice fell down a rabbit-hole after a White Rabbit with pink eyes. She had never before seen a rabbit with a waistcoat-pocket, or a watch to take out of it. The sides of the well were filled with cupboards and book-shelves. She took down a jar from one of the shelves as she passed; it was labelled “ORANGE MARMALADE”\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "cAuS8p4dgxHA",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 5,
      "outputs": []
    }
  ]
}