Text Summarization GUI.ipynb

{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KIsYvLx7XbIU",
        "outputId": "44f8df8f-30b1-4b64-b41c-6ecd9c1c2e3f"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/drive\n"
          ]
        }
      ],
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "lrnHytAvXi1Q",
        "outputId": "a0b80067-ddc1-462e-b953-dc64c1f19e92"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting transformers\n",
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            "Installing collected packages: pyyaml, tokenizers, sacremoses, huggingface-hub, transformers\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-0.5.1 pyyaml-6.0 sacremoses-0.0.49 tokenizers-0.11.6 transformers-4.18.0\n",
            "Collecting sentencepiece\n",
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            "Building wheels for collected packages: spacy, regex, cymem, dill, murmurhash, thinc, cytoolz, wrapt\n",
            "  Building wheel for spacy (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for spacy: filename=spacy-2.0.12-cp37-cp37m-linux_x86_64.whl size=28973277 sha256=d65b7c82b441708f03ca9f3868cd44d26a3f767d06bc4ea69b14e937ed6e6cda\n",
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            "  Building wheel for thinc (setup.py) ... \u001b[?25lerror\n",
            "\u001b[31m  ERROR: Failed building wheel for thinc\u001b[0m\n",
            "\u001b[?25h  Running setup.py clean for thinc\n",
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            "  Stored in directory: /root/.cache/pip/wheels/52/9f/8e/8d8bc15ed2c88ed4e784c603f641df40d19e8410b982766e4f\n",
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            "  Created wheel for wrapt: filename=wrapt-1.10.11-cp37-cp37m-linux_x86_64.whl size=66085 sha256=b7e29ec91bcb42b883dbdf9f48b938b6f814be7672faabeb66a6bebd8fb6952b\n",
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            "Successfully built spacy regex cymem dill murmurhash cytoolz wrapt\n",
            "Failed to build thinc\n",
            "Installing collected packages: msgpack, cymem, wrapt, preshed, plac, murmurhash, msgpack-numpy, dill, cytoolz, ujson, thinc, regex, spacy\n",
            "  Attempting uninstall: msgpack\n",
            "    Found existing installation: msgpack 1.0.3\n",
            "    Uninstalling msgpack-1.0.3:\n",
            "      Successfully uninstalled msgpack-1.0.3\n",
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            "  Attempting uninstall: murmurhash\n",
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            "    Found existing installation: dill 0.3.4\n",
            "    Uninstalling dill-0.3.4:\n",
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            "  Attempting uninstall: thinc\n",
            "    Found existing installation: thinc 7.4.0\n",
            "    Uninstalling thinc-7.4.0:\n",
            "      Successfully uninstalled thinc-7.4.0\n",
            "    Running setup.py install for thinc ... \u001b[?25l\u001b[?25herror\n",
            "  Rolling back uninstall of thinc\n",
            "  Moving to /usr/local/lib/python3.7/dist-packages/thinc-7.4.0.dist-info/\n",
            "   from /usr/local/lib/python3.7/dist-packages/~hinc-7.4.0.dist-info\n",
            "  Moving to /usr/local/lib/python3.7/dist-packages/thinc/\n",
            "   from /usr/local/lib/python3.7/dist-packages/~hinc\n",
            "\u001b[31mERROR: Command errored out with exit status 1: /usr/bin/python3 -u -c 'import io, os, sys, setuptools, tokenize; sys.argv[0] = '\"'\"'/tmp/pip-install-y0kkpkov/thinc_7c635f7766f74d7c9a464a57ced7ebd2/setup.py'\"'\"'; __file__='\"'\"'/tmp/pip-install-y0kkpkov/thinc_7c635f7766f74d7c9a464a57ced7ebd2/setup.py'\"'\"';f = getattr(tokenize, '\"'\"'open'\"'\"', open)(__file__) if os.path.exists(__file__) else io.StringIO('\"'\"'from setuptools import setup; setup()'\"'\"');code = f.read().replace('\"'\"'\\r\\n'\"'\"', '\"'\"'\\n'\"'\"');f.close();exec(compile(code, __file__, '\"'\"'exec'\"'\"'))' install --record /tmp/pip-record-v0_at86_/install-record.txt --single-version-externally-managed --compile --install-headers /usr/local/include/python3.7/thinc Check the logs for full command output.\u001b[0m\n",
            "Collecting bert-extractive-summarizer\n",
            "  Downloading bert_extractive_summarizer-0.10.1-py3-none-any.whl (25 kB)\n",
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            "Installing collected packages: cymem, preshed, bert-extractive-summarizer\n",
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            "      Successfully uninstalled preshed-1.0.1\n",
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            "\u001b[?25h  Building wheel for ffmpy (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Building wheel for python-multipart (setup.py) ... \u001b[?25l\u001b[?25hdone\n"
          ]
        }
      ],
      "source": [
        "!pip install transformers\n",
        "!pip install sentencepiece\n",
        "! pip install spacy==2.0.12\n",
        "! pip install bert-extractive-summarizer\n",
        "!pip install -q gradio"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "id": "Oq_mwuzvXlHg"
      },
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      "source": [
        "from transformers import PegasusForConditionalGeneration, PegasusTokenizer\n",
        "from summarizer import Summarizer,TransformerSummarizer\n",
        "import torch\n",
        "import torchvision.models as models\n",
        "import warnings\n",
        "warnings.filterwarnings('ignore')\n",
        "import gradio as gr"
      ]
    },
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        "model_name = 'google/pegasus-large'\n",
        "tokenizer = PegasusTokenizer.from_pretrained(model_name)\n",
        "abs_test_model =  PegasusForConditionalGeneration.from_pretrained(model_name) # we do not specify pretrained=True, i.e. do not load default weights\n",
        "abs_test_model.load_state_dict(torch.load('/content/drive/MyDrive/models/abs_model_weights.pth'))\n",
        "\n",
        "ext_test_model=torch.load('/content/drive/MyDrive/models/ext_model_weights.pth')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
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        "def text_summarizer(input_text,model):\n",
        "  if model=='Abstractive':\n",
        "    batch = tokenizer(input_text, truncation=True, padding='longest', return_tensors=\"pt\")\n",
        "    translated = abs_test_model.generate(**batch)\n",
        "    abs_summary = tokenizer.batch_decode(translated, skip_special_tokens=True)\n",
        "    return abs_summary[0]\n",
        "  elif model == 'Extractive':\n",
        "    ext_summary = ''.join(ext_test_model(input_text,min_length=200))\n",
        "    return ext_summary"
      ]
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          "text": [
            "Colab notebook detected. This cell will run indefinitely so that you can see errors and logs. To turn off, set debug=False in launch().\n",
            "Running on public URL: https://11491.gradio.app\n",
            "\n",
            "This share link expires in 72 hours. For free permanent hosting, check out Spaces (https://huggingface.co/spaces)\n"
          ]
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      "source": [
        "TextSummerizerUI = gr.Interface(\n",
        "    fn=text_summarizer, \n",
        "    inputs=[\n",
        "        gr.inputs.Textbox(lines=10, placeholder=\"Enter your Text!!\"),\n",
        "        gr.inputs.Dropdown([\"Abstractive\", \"Extractive\"]),\n",
        "    ], \n",
        "    outputs='text', \n",
        "    title=\"Text Summarizer\", \n",
        "    theme='dark')\n",
        "TextSummerizerUI.launch(inbrowser=True, debug=True)"
      ]
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