exploring_other_media_document_sources.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "view-in-github"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/vanderbilt-data-science/lo-achievement/blob/main/exploring_other_media_document_sources.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "x_Vp8SiKM4p1"
      },
      "source": [
        "# Exploring Alternative Media Document Sources\n",
        "Test how one could get YouTube videos or websites as sources for documents in a vector store.\n",
        "\n",
        "- YouTube: https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/youtube_audio\n",
        "- Websites:\n",
        "  - https://js.langchain.com/docs/modules/indexes/document_loaders/examples/web_loaders/\n",
        "  - https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/web_base\n",
        "  - Extracting relevant information from website: https://www.oncrawl.com/technical-seo/extract-relevant-text-content-from-html-page/\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "o_60X8H3NEne"
      },
      "source": [
        "## Libraries"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "pxcqXgg2aAN7",
        "outputId": "0bb1c0aa-99f7-4d8d-a66f-992ea54eb5ff"
      },
      "outputs": [],
      "source": [
        "# install libraries here\n",
        "# -q flag for \"quiet\" install\n",
        "!pip install -q langchain\n",
        "!pip install -q openai\n",
        "!pip install -q unstructured\n",
        "!pip install -q tiktoken\n",
        "!pip install typing_extensions==4.5.0"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 784
        },
        "id": "mwpl3jYJoGo7",
        "outputId": "cbae7a1a-b4a4-4d32-f837-dcafb3d01746"
      },
      "outputs": [],
      "source": [
        "%pip install -q trafilatura\n",
        "%pip install -q justext"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "NU-7ynWHvwfM",
        "outputId": "cdd9a4db-1bd0-471c-d31e-e0c16aff0c98"
      },
      "outputs": [],
      "source": [
        "%pip install yt_dlp\n",
        "%pip install pydub"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "id": "pEjM1tLsMZBq"
      },
      "outputs": [],
      "source": [
        "# import libraries here\n",
        "import os\n",
        "import time\n",
        "import pprint\n",
        "from getpass import getpass\n",
        "\n",
        "from langchain.docstore.document import Document\n",
        "from langchain.text_splitter import RecursiveCharacterTextSplitter\n",
        "from langchain.embeddings import OpenAIEmbeddings\n",
        "\n",
        "from langchain.document_loaders.unstructured import UnstructuredFileLoader"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "id": "0U6N_9xFsOcw"
      },
      "outputs": [],
      "source": [
        "from langchain.document_loaders.generic import GenericLoader\n",
        "from langchain.document_loaders.parsers import OpenAIWhisperParser\n",
        "from langchain.document_loaders.blob_loaders.youtube_audio import YoutubeAudioLoader"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 40,
      "metadata": {
        "id": "JRw367IwryWd"
      },
      "outputs": [],
      "source": [
        "from langchain.document_loaders import WebBaseLoader\n",
        "import trafilatura\n",
        "import requests\n",
        "import justext"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "n0BTyPI_srMg"
      },
      "source": []
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "id": "NOX639OA2pOh"
      },
      "outputs": [],
      "source": [
        "# Export requirements.txt (if needed)\n",
        "%pip freeze > requirements.txt"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "03KLZGI_a5W5"
      },
      "source": [
        "## API Keys\n",
        "\n",
        "Use these cells to load the API keys required for this notebook. The below code cell uses the `getpass` library."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5smcWj4DbFgy",
        "outputId": "969c13c3-2b77-4d7b-aa69-e24629894e6a"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "··········\n"
          ]
        }
      ],
      "source": [
        "openai_api_key = getpass()\n",
        "os.environ[\"OPENAI_API_KEY\"] = openai_api_key"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 35,
      "metadata": {
        "id": "Jgh9igPesX3F"
      },
      "outputs": [],
      "source": [
        "def splitter(text):\n",
        "  # Split input text\n",
        "  text_splitter = RecursiveCharacterTextSplitter(chunk_size=1500, chunk_overlap=150)\n",
        "  splits = text_splitter.split_text(text)\n",
        "  return splits"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "F2W_fMfRUJj2"
      },
      "source": [
        "## YouTube"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 36,
      "metadata": {
        "id": "xm2aHrWdvztG"
      },
      "outputs": [],
      "source": [
        "def youtube_transcript(urls, save_dir = \"content\"):\n",
        "  # Transcribe the videos to text\n",
        "  # save_dir: directory to save audio files\n",
        "  youtube_loader = GenericLoader(YoutubeAudioLoader(urls, save_dir), OpenAIWhisperParser())\n",
        "  youtube_docs = youtube_loader.load()\n",
        "  # Combine doc\n",
        "  combined_docs = [doc.page_content for doc in youtube_docs]\n",
        "  text = \" \".join(combined_docs)\n",
        "  return text"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "u3pRTWrBv_oJ"
      },
      "outputs": [],
      "source": [
        "# Two Karpathy lecture videos\n",
        "urls = [\"https://youtu.be/kCc8FmEb1nY\", \"https://youtu.be/VMj-3S1tku0\"]\n",
        "youtube_text = youtube_transcript(urls)\n",
        "youtube_text"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wsMTgKjnUmql"
      },
      "source": [
        "## Websites"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 25,
      "metadata": {
        "id": "aaIuM970pupK"
      },
      "outputs": [],
      "source": [
        "url = \"https://www.espn.com/\""
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "B2CW1oIgp5w3"
      },
      "source": [
        "### WebBaseLoader"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 42,
      "metadata": {
        "id": "MYw1qpovlnxe"
      },
      "outputs": [],
      "source": [
        "def website_webbase(url):\n",
        "  website_loader = WebBaseLoader(url)\n",
        "  website_data = website_loader.load()\n",
        "  # Combine doc\n",
        "  combined_docs = [doc.page_content for doc in website_data]\n",
        "  text = \" \".join(combined_docs)\n",
        "  return text"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 43,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 139
        },
        "id": "M2A-lEpasbVo",
        "outputId": "0936e800-b254-47a8-b865-ed10bec191b1"
      },
      "outputs": [
        {
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              "\"\\n\\n\\n\\n\\n\\n\\n\\n\\nESPN - Serving Sports Fans. Anytime. 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Here are the biggest questions facing the conference ahead of the 2023 season.1mBill Connelly and Dave WilsonRaymond Carlin/Icon Sportswire Top HeadlinesKamara agrees to plea deal in Vegas assault caseMLBPA wants tweak to pitch timer before playoffsNorthwestern to keep assistant coaches for 2023Surfing star Jones dies after accident with boardMessi lands in U.S. ahead of Inter Miami unveilingDiet to discipline: Zion knows he can do moreDjokovic ties Federer with 46th Slam semifinalTour-PIF talks eyed Norman exit, Tiger LIV teamWho are the NFL's best cornerbacks?Favorites FantasyManage FavoritesFantasy HomeCustomize ESPNSign UpLog InICYMI0:38J-Rod puts on a show with record 41 HRs in Round 1Mariners star Julio Rodriguez electrifies the Seattle crowd with a record 41 home runs in Round 1 of the Home Run Derby. Best of ESPN+Illustration by ESPNRanking the NFL's best players at every position for 2023: Execs, coaches, scouts pick their top 10 at every positionBest corners in the NFL? 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This is the story of what the team learned about themselves through turmoil.Ron Chenoy-USA TODAY SportsCups of coffee: Seven former NFL players remember their one and only gameTheir NFL careers lasted a single game. Seven members of a unique professional club discuss their journeys.Illustration by MASAThe FC 100 for 2023: Haaland, Mbappe lead our list of best men's soccer playersAfter a brief hiatus thanks to the winter World Cup in Qatar, ESPN presents its seventh annual ranking of the best men's players and coaches in world soccer! Welcome to FC 100. How to Watch on ESPN+(AP Photo/Koji Sasahara, File)How to watch the PGA Tour, Masters, PGA Championship and FedEx Cup playoffs on ESPN, ESPN+Here's everything you need to know about how to watch the PGA Tour, Masters, PGA Championship and FedEx Cup playoffs on ESPN and ESPN+. 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All rights reserved.\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\""
            ]
          },
          "execution_count": 43,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "webbase_text = website_webbase(url)\n",
        "webbase_text"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "fLFNd6S8oAlD"
      },
      "source": [
        "### Trafilatura Parsing\n",
        "\n",
        "[Tralifatura](https://trafilatura.readthedocs.io/en/latest/) is a Python and command-line utility which attempts to extracts the most relevant information from a given website.  "
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 44,
      "metadata": {
        "id": "H3gtJjSfoK5C"
      },
      "outputs": [],
      "source": [
        "def website_trafilatura(url):\n",
        "  downloaded = trafilatura.fetch_url(url)\n",
        "  return trafilatura.extract(downloaded)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 45,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 52
        },
        "id": "ft8QDKTTsekG",
        "outputId": "7eefb402-470d-4ff6-df72-4834a610f17a"
      },
      "outputs": [
        {
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            },
            "text/plain": [
              "'|Sports|\\n|scores||News|\\n|© 2023 ESPN Internet Ventures. Terms of Use and Privacy Policy and Safety Information / Your California Privacy Rights are applicable to you. All rights reserved.|\\n|\\nMore From ESPN:\\n|\\nESPN en Español | Andscape | FiveThirtyEight | ESPN FC | ESPNCricinfo'"
            ]
          },
          "execution_count": 45,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "trafilatura_text = website_trafilatura(url)\n",
        "trafilatura_text"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "evXJEtZtobn0"
      },
      "source": [
        "### jusText\n",
        "\n",
        "[jusText](https://pypi.org/project/jusText/) is another Python library for extracting content from a website."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 46,
      "metadata": {
        "id": "AfahISIvph_Y"
      },
      "outputs": [],
      "source": [
        "def website_justext(url):\n",
        "  response = requests.get(url)\n",
        "  paragraphs = justext.justext(response.content, justext.get_stoplist(\"English\"))\n",
        "  content = [paragraph.text for paragraph in paragraphs \\\n",
        "            if not paragraph.is_boilerplate]\n",
        "  text = \" \".join(content)\n",
        "  return text"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 47,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 52
        },
        "id": "eB_BdMjXsg3T",
        "outputId": "b65bfc3f-2538-4b0a-99da-926855f9e21d"
      },
      "outputs": [
        {
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            },
            "text/plain": [
              "\"Trending Now The Philadelphia 76ers started the 1972-73 season by losing 21 of 23 games. They'd finish with the worst record in NBA history, 9-73. This is the story of what the team learned about themselves through turmoil.\""
            ]
          },
          "execution_count": 47,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "justext_text = website_justext(url)\n",
        "justext_text"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "include_colab_link": true,
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}