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"@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } } } } }, "cells": [ { "cell_type": "markdown", "source": [ "# Web Scraping, Processing, and Embedding\n", "\n", "This Google Colab notebook demonstrates a complete workflow for extracting information from a website, processing it, and preparing it for use in applications like question answering or semantic search.\n", "\n", "Here's a breakdown of its functionality:\n", "\n", "Web Scraping: It starts by crawling a specified website (in this case, learn.microsoft.com/en-us/) and extracting the text content from multiple pages.\n", "\n", "Data Processing: The extracted text is then processed by splitting it into smaller, overlapping chunks. This makes the text more manageable for further analysis and embedding.\n", "\n", "Embedding: Using a pre-trained Sentence Transformer model, each text chunk is converted into a numerical representation called an embedding.\n", "Embeddings capture the semantic meaning of the text, allowing for comparisons of similarity between different chunks.\n", "Saving: Finally, the processed data, including the original text chunks, their source URLs, and the newly created embeddings, is saved to a JSON file in your Google Drive for later use.\n", "In essence, the notebook takes raw website text and transforms it into a structured, semantically rich dataset." ], "metadata": { "id": "0DTjmDskyNza" } }, { "cell_type": "markdown", "source": [ "## Install necessary libraries" ], "metadata": { "id": "qhv3S9qayhht" } }, { "cell_type": "code", "execution_count": 1, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "collapsed": true, "id": "XAnLdtBts3jg", "outputId": "a6e9e732-c429-4188-b13d-e165aa344926" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "\u001b[?25l \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/244.3 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m244.3/244.3 kB\u001b[0m \u001b[31m7.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m303.4/303.4 kB\u001b[0m \u001b[31m20.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m363.4/363.4 MB\u001b[0m \u001b[31m3.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m13.8/13.8 MB\u001b[0m \u001b[31m82.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[2K 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"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m207.5/207.5 MB\u001b[0m \u001b[31m5.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m21.1/21.1 MB\u001b[0m \u001b[31m118.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.6/1.6 MB\u001b[0m \u001b[31m83.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[?25h" ] } ], "source": [ "!pip install -q ipywidgets google-colab python-docx pypdf pandas nltk sentence-transformers torch tqdm pyarrow httpx beautifulsoup4 datasets requests" ] }, { "cell_type": "markdown", "source": [ "## Web scraping and data extraction script\n", "This script crawls a website and extracts text content from each page.\n" ], "metadata": { "id": "tkyp1xB6ymb0" } }, { "cell_type": "code", "source": [ "# prompt: write a script to navigate to the link https://learn.microsoft.com/en-us/ and start web scrapping and data extraction automatically on every page must scrap and extract all data, 100% data\n", "\n", "import requests\n", "from bs4 import BeautifulSoup\n", "from urllib.parse import urljoin, urlparse\n", "\n", "def is_valid(url):\n", " \"\"\"Checks whether `url` is a valid URL.\"\"\"\n", " try:\n", " result = urlparse(url)\n", " return all([result.scheme, result.netloc])\n", " except:\n", " return False\n", "\n", "def get_all_website_links(url):\n", " \"\"\"\n", " Returns all URLs that is found on `url` in which it belongs to the same website\n", " \"\"\"\n", " urls = set()\n", " domain_name = urlparse(url).netloc\n", " try:\n", " soup = BeautifulSoup(requests.get(url).content, \"html.parser\")\n", " for a_tag in soup.findAll(\"a\"):\n", " href = a_tag.attrs.get(\"href\")\n", " if href == \"\" or href is None:\n", " continue\n", " href = urljoin(url, href)\n", " parsed_href = urlparse(href)\n", " href = parsed_href.scheme + \"://\" + parsed_href.netloc + parsed_href.path\n", " if not is_valid(href):\n", " continue\n", " if parsed_href.netloc == domain_name:\n", " urls.add(href)\n", " except Exception as e:\n", " print(f\"Error processing {url}: {e}\")\n", " return urls\n", "\n", "def scrape_page_data(url):\n", " \"\"\"Scrapes all text content from a given URL.\"\"\"\n", " try:\n", " response = requests.get(url)\n", " soup = BeautifulSoup(response.content, 'html.parser')\n", " # Extract all text from the page\n", " text = soup.get_text(separator='\\n', strip=True)\n", " return text\n", " except Exception as e:\n", " print(f\"Error scraping {url}: {e}\")\n", " return None\n", "\n", "def crawl_website(start_url, max_pages=100):\n", " \"\"\"Crawls a website and scrapes data from each page.\"\"\"\n", " visited_urls = set()\n", " urls_to_visit = {start_url}\n", " scraped_data = {}\n", "\n", " while urls_to_visit and len(visited_urls) < max_pages:\n", " current_url = urls_to_visit.pop()\n", " if current_url in visited_urls:\n", " continue\n", "\n", " print(f\"Visiting: {current_url}\")\n", " visited_urls.add(current_url)\n", "\n", " # Scrape data\n", " data = scrape_page_data(current_url)\n", " if data:\n", " scraped_data[current_url] = data\n", "\n", " # Find new links\n", " new_links = get_all_website_links(current_url)\n", " for link in new_links:\n", " if link not in visited_urls:\n", " urls_to_visit.add(link)\n", "\n", " return scraped_data\n", "\n", "# Start the crawling process\n", "start_url = \"https://learn.microsoft.com/en-us/\"\n", "all_scraped_data = crawl_website(start_url)\n", "\n", "# You can now process the `all_scraped_data` dictionary\n", "# For example, print the number of pages scraped and the data from one page:\n", "print(f\"\\nScraped data from {len(all_scraped_data)} pages.\")\n", "if all_scraped_data:\n", " first_url = list(all_scraped_data.keys())[0]\n", " print(f\"\\nData from the first scraped page ({first_url}):\")\n", " # print(all_scraped_data[first_url][:500]) # Print first 500 characters\n" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "collapsed": true, "id": "LnP4e8E8tqV3", "outputId": "b3c28a4b-300d-466c-85ca-8a1742d3d11d" }, "execution_count": 3, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Visiting: https://learn.microsoft.com/en-us/\n", "Visiting: https://learn.microsoft.com/en-us/training/\n" ] }, { "output_type": "stream", "name": "stderr", "text": [ ":23: DeprecationWarning: Call to deprecated method findAll. (Replaced by find_all) -- Deprecated since version 4.0.0.\n", " for a_tag in soup.findAll(\"a\"):\n" ] }, { "output_type": "stream", "name": "stdout", "text": [ "Visiting: https://learn.microsoft.com/en-us/training/student-hub\n", "Visiting: https://learn.microsoft.com/en-us/legal/termsofuse\n", "Visiting: https://learn.microsoft.com/en-us/certifications/posts/microsoft-learn-why-get-certified\n", "Visiting: https://learn.microsoft.com/en-us/previous-versions/\n", "Visiting: https://learn.microsoft.com/en-us/training/student-hub/\n", "Visiting: https://learn.microsoft.com/en-us/previous-versions/microsoft-robotics/\n", "Visiting: https://learn.microsoft.com/en-us/credentials/certifications/d365-functional-consultant-financials/\n", "Visiting: https://learn.microsoft.com/en-us/credentials/support/help\n", "Visiting: https://learn.microsoft.com/en-us/previous-versions/xamarin/\n", "Visiting: https://learn.microsoft.com/en-us/previous-versions/xamarin/get-started/tutorials/image/\n", "Visiting: https://learn.microsoft.com/en-us/previous-versions/xamarin/mac/app-fundamentals/\n", "Visiting: https://learn.microsoft.com/en-us/previous-versions/xamarin/get-started/tutorials/\n", "Visiting: https://learn.microsoft.com/en-us/previous-versions/xamarin/mac/\n", "Visiting: https://learn.microsoft.com/en-us/previous-versions/xamarin/get-started/tutorials/label/\n", "Visiting: https://learn.microsoft.com/en-us/training/career-paths/\n", "Visiting: https://learn.microsoft.com/en-us/lifecycle/faq/internet-explorer-microsoft-edge\n", "Visiting: https://learn.microsoft.com/en-us/credentials/support/exam-duration-exam-experience\n", "Visiting: https://learn.microsoft.com/en-us/previous-versions/xamarin/xamarin-forms/internals/\n", "Visiting: https://learn.microsoft.com/en-us/credentials/support/assessment-scoring-reports\n", "Visiting: https://learn.microsoft.com/en-us/previous-versions/xamarin/ios/platform/ios14/\n", "Visiting: https://learn.microsoft.com/en-us/previous-versions/xamarin/mac/app-fundamentals/image\n", "Visiting: https://learn.microsoft.com/en-us/previous-versions/xamarin/mac/deploy-test/publishing-to-the-app-store/\n", "Visiting: https://learn.microsoft.com/en-us/previous-versions/xamarin/android/get-started/hello-android/hello-android-quickstart\n", "Visiting: https://learn.microsoft.com/en-us/contribute\n", "Visiting: https://learn.microsoft.com/en-us/credentials/support/exam-item-challenge-process\n", "Visiting: https://learn.microsoft.com/en-us/previous-versions/xamarin/mac/deploy-test/publishing-to-the-app-store/bundling\n", "Visiting: https://learn.microsoft.com/en-us/previous-versions/xamarin/mac/app-fundamentals/sandboxing\n", "Visiting: https://learn.microsoft.com/en-us/previous-versions/xamarin/get-started/quickstarts/database\n", "Visiting: https://learn.microsoft.com/en-us/credentials/support/applied-skills-faq\n", "Visiting: https://learn.microsoft.com/en-us/previous-versions/xamarin/android/get-started/installation/\n", "Visiting: https://learn.microsoft.com/en-us/previous-versions/xamarin/whats-new/\n", "Visiting: https://learn.microsoft.com/en-us/contribute/content/\n", "Visiting: https://learn.microsoft.com/en-us/previous-versions/xamarin/mac/app-fundamentals/sandboxing-images/sign09-large.png\n" ] }, { "output_type": "stream", "name": "stderr", "text": [ "WARNING:bs4.dammit:Some characters could not be decoded, and were replaced with REPLACEMENT CHARACTER.\n", "WARNING:bs4.dammit:Some characters could not be decoded, and were replaced with REPLACEMENT CHARACTER.\n" ] }, { "output_type": "stream", "name": "stdout", "text": [ "Visiting: https://learn.microsoft.com/en-us/training/career-paths/developer\n", "Visiting: https://learn.microsoft.com/en-us/previous-versions/xamarin/mac/app-fundamentals/sandboxing-images/sample05-large.png\n" ] }, { "output_type": "stream", "name": "stderr", "text": [ "WARNING:bs4.dammit:Some characters could not be decoded, and were replaced with REPLACEMENT CHARACTER.\n", "WARNING:bs4.dammit:Some characters could not be decoded, and were replaced with REPLACEMENT CHARACTER.\n" ] }, { "output_type": "stream", "name": "stdout", "text": [ "Visiting: https://learn.microsoft.com/answers/\n", "Visiting: https://learn.microsoft.com/en-us/previous-versions/aspnet/\n", "Visiting: https://learn.microsoft.com/en-us/previous-versions/xamarin/mac/internals/\n", "Visiting: https://learn.microsoft.com/en-us/training/career-paths/information-protection-admin\n", "Visiting: https://learn.microsoft.com/en-us/lifecycle/faq/extended-security-updates\n", "Visiting: https://learn.microsoft.com/en-us/previous-versions/xamarin/android/user-interface/\n", "Visiting: https://learn.microsoft.com/en-us/previous-versions/xamarin/mac/app-fundamentals/databases\n", "Visiting: https://learn.microsoft.com/en-us/training/learn-community\n", "Visiting: https://learn.microsoft.com/en-us/training/career-paths/functional-consultant\n", "Visiting: https://learn.microsoft.com/en-us/previous-versions/xamarin/android/get-started/hello-android/hello-android-quickstart-images/xs/11-translate-button.png\n" ] }, { "output_type": "stream", "name": "stderr", "text": [ "WARNING:bs4.dammit:Some characters could not be decoded, and were replaced with REPLACEMENT CHARACTER.\n", "WARNING:bs4.dammit:Some characters could not be decoded, and were replaced with REPLACEMENT CHARACTER.\n" ] }, { "output_type": "stream", "name": "stdout", "text": [ "Visiting: https://learn.microsoft.com/en-us/previous-versions/azure/\n", "Visiting: https://learn.microsoft.com/en-us/previous-versions/xamarin/mac/app-fundamentals/image-images/ib03-large.png\n" ] }, { "output_type": "stream", "name": "stderr", "text": [ "WARNING:bs4.dammit:Some characters could not be decoded, and were replaced with REPLACEMENT CHARACTER.\n", "WARNING:bs4.dammit:Some characters could not be 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"stdout", "text": [ "Visiting: https://learn.microsoft.com/en-us/contribute/content/how-to-write-overview\n", "Visiting: https://learn.microsoft.com/en-us/previous-versions/xamarin/android/user-interface/user-profile\n", "Visiting: https://learn.microsoft.com/en-us/azure/azure-arc/servers/deliver-extended-security-updates\n", "Visiting: https://learn.microsoft.com/en-us/visualstudio/mac/installation/\n", "Visiting: https://learn.microsoft.com/en-us/previous-versions/xamarin/get-started/tutorials/image/images/create-image-large.png\n" ] }, { "output_type": "stream", "name": "stderr", "text": [ "WARNING:bs4.dammit:Some characters could not be decoded, and were replaced with REPLACEMENT CHARACTER.\n", "WARNING:bs4.dammit:Some characters could not be decoded, and were replaced with REPLACEMENT CHARACTER.\n" ] }, { "output_type": "stream", "name": "stdout", "text": [ "Visiting: https://learn.microsoft.com/en-us/previous-versions/xamarin/android/deploy-test/\n", "Visiting: https://learn.microsoft.com/en-us/credentials/certifications/d365-functional-consultant-financials/renew/\n", "Visiting: https://learn.microsoft.com/en-us/previous-versions/xamarin/xamarin-forms/platform/\n", "Visiting: https://learn.microsoft.com/en-us/previous-versions/xamarin/android/get-started/hello-android/hello-android-quickstart-images/xs/14-add-new-file.png\n" ] }, { "output_type": "stream", "name": "stderr", "text": [ "WARNING:bs4.dammit:Some characters could not be decoded, and were replaced with REPLACEMENT CHARACTER.\n", "WARNING:bs4.dammit:Some characters could not be decoded, and were replaced with REPLACEMENT CHARACTER.\n" ] }, { "output_type": "stream", "name": "stdout", "text": [ "Visiting: https://learn.microsoft.com/en-us/training/career-paths/data-scientist\n", "Visiting: https://learn.microsoft.com/en-us/previous-versions/xamarin/mac/app-fundamentals/console\n", "Visiting: https://learn.microsoft.com/en-us/previous-versions/xamarin/xamarin-forms/\n", "Visiting: https://learn.microsoft.com/en-us/credentials/certifications/schedule-through-pearson-vue\n", "Visiting: https://learn.microsoft.com/en-us/previous-versions/xamarin/get-started/first-app/\n", "Visiting: https://learn.microsoft.com/en-us/previous-versions/xamarin/android/user-interface/user-profile-images/01-profile-screen.png\n" ] }, { "output_type": "stream", "name": "stderr", "text": [ "WARNING:bs4.dammit:Some characters could not be decoded, and were replaced with REPLACEMENT CHARACTER.\n", "WARNING:bs4.dammit:Some characters could not be decoded, and were replaced with REPLACEMENT CHARACTER.\n" ] }, { "output_type": "stream", "name": "stdout", "text": [ "Visiting: https://learn.microsoft.com/en-us/answers/tags/108/office-teams\n", "Visiting: https://learn.microsoft.com/en-us/credentials/certifications/exams/mb-500\n", "Visiting: https://learn.microsoft.com/en-us/previous-versions/microsoft-robotics/bb643213(v=msdn.10)\n", "Visiting: https://learn.microsoft.com/en-us/previous-versions/xamarin/get-started/tutorials/pop-ups/\n", "Visiting: https://learn.microsoft.com/en-us/previous-versions/xamarin/xamarin-forms/internals/class-hierarchy\n", "Visiting: https://learn.microsoft.com/en-us/xamarin/android/get-started/installation/set-up-device-for-development\n", "Visiting: https://learn.microsoft.com/en-us/previous-versions/xamarin/android/deploy-test/publishing/\n", "Visiting: https://learn.microsoft.com/en-us/answers/tags/435/sysinternals\n", "Visiting: https://learn.microsoft.com/en-us/previous-versions/xamarin/xamarin-forms/platform/windows/tabbedpage-icons\n", "Visiting: https://learn.microsoft.com/en-us/previous-versions/xamarin/whats-new/2020-06\n", "Visiting: https://learn.microsoft.com/en-us/previous-versions/xamarin/mac/internals/architecture\n", "Visiting: https://learn.microsoft.com/en-us/previous-versions/xamarin/ios/app-fundamentals/images-icons/\n", "Visiting: https://learn.microsoft.com/en-us/previous-versions/msp-n-p/\n", "Visiting: https://learn.microsoft.com/en-us/dotnet/api/android.provider.contactscontract.profile\n", "Visiting: https://learn.microsoft.com/en-us/previous-versions/xamarin/mac/app-fundamentals/sandboxing-images/sign10-large.png\n" ] }, { "output_type": "stream", "name": "stderr", "text": [ "WARNING:bs4.dammit:Some characters could not be decoded, and were replaced with REPLACEMENT CHARACTER.\n", "WARNING:bs4.dammit:Some characters could not be decoded, and were replaced with REPLACEMENT CHARACTER.\n" ] }, { "output_type": "stream", "name": "stdout", "text": [ "Visiting: https://learn.microsoft.com/en-us/previous-versions/xamarin/mac/app-fundamentals/sandboxing-images/intro01-large.png\n" ] }, { "output_type": "stream", "name": "stderr", "text": [ "WARNING:bs4.dammit:Some characters could not be decoded, and were replaced with REPLACEMENT CHARACTER.\n", "WARNING:bs4.dammit:Some characters could not be decoded, and were replaced with REPLACEMENT CHARACTER.\n" ] }, { "output_type": "stream", "name": "stdout", "text": [ "Visiting: https://learn.microsoft.com/en-us/training/career-paths/identity-and-access-admin\n", "Visiting: https://learn.microsoft.com/en-us/previous-versions/xamarin/mac/app-fundamentals/xibless-ui\n", "Visiting: https://learn.microsoft.com/en-us/visualstudio/mac/installation/media/vsmac-2022/install-installer.png\n", "Visiting: https://learn.microsoft.com/en-us/previous-versions/xamarin/android/get-started/installation/android-sdk\n", "Visiting: https://learn.microsoft.com/en-us/previous-versions/xamarin/xamarin-forms/platform/windows/listview-selectionmode\n", "Visiting: https://learn.microsoft.com/en-us/previous-versions/xamarin/mac/app-fundamentals/sandboxing-images/sign01-large.png\n" ] }, { "output_type": "stream", "name": "stderr", "text": [ "WARNING:bs4.dammit:Some characters could not be decoded, and were replaced with REPLACEMENT CHARACTER.\n", "WARNING:bs4.dammit:Some characters could not be decoded, and were replaced with REPLACEMENT CHARACTER.\n" ] }, { "output_type": "stream", "name": "stdout", "text": [ "Visiting: https://learn.microsoft.com/en-us/dotnet/whats-new/\n", "Visiting: https://learn.microsoft.com/en-us/previous-versions/xamarin/mac/app-fundamentals/sandboxing-images/sample08-large.png\n" ] }, { "output_type": "stream", "name": "stderr", "text": [ "WARNING:bs4.dammit:Some characters could not be decoded, and were replaced with REPLACEMENT CHARACTER.\n", "WARNING:bs4.dammit:Some characters could not be decoded, and were replaced with REPLACEMENT CHARACTER.\n" ] }, { "output_type": "stream", "name": "stdout", "text": [ "Visiting: https://learn.microsoft.com/en-us/credentials/support/retake-policy\n", "Visiting: https://learn.microsoft.com/en-us/previous-versions/aspnet/hh420390(v=vs.110)\n", "Visiting: https://learn.microsoft.com/en-us/previous-versions/xamarin/ios/app-fundamentals/images-icons/displaying-an-image\n", "Visiting: https://learn.microsoft.com/en-us/previous-versions/xamarin/ios/app-fundamentals/images-icons/launch-screens\n", "Visiting: https://learn.microsoft.com/en-us/dotnet/api/java.lang.object.sethandle\n", "Visiting: https://learn.microsoft.com/en-us/credentials/certifications/available-exam-accommodations-document-requirements\n", "Visiting: https://learn.microsoft.com/en-us/previous-versions/xamarin/mac/deploy-test/publishing-to-the-app-store/app-configuration\n", "\n", "Scraped data from 100 pages.\n", "\n", "Data from the first scraped page (https://learn.microsoft.com/en-us/):\n" ] } ] }, { "cell_type": "markdown", "source": [ "## Data processing and embedding script\n", "This script takes the scraped data, chunks it, and creates embeddings using a sentence transformer model." ], "metadata": { "id": "Y0oN8pYqyxf4" } }, { "cell_type": "code", "source": [ "# prompt: write a script to convert, format, embed the full scrapped and extracted data to structured, embedded data chunks\n", "\n", "import torch\n", "from sentence_transformers import SentenceTransformer # Changed import\n", "from datasets import Dataset\n", "from tqdm.auto import tqdm\n", "\n", "# Check for GPU availability\n", "device = 'cuda' if torch.cuda.is_available() else 'cpu'\n", "print(f\"Using device: {device}\")\n", "\n", "# Load a pre-trained sentence transformer model\n", "model = SentenceTransformer('all-MiniLM-L6-v2').to(device)\n", "\n", "def chunk_text(text, chunk_size=500, chunk_overlap=50):\n", " \"\"\"Splits text into chunks with overlap.\"\"\"\n", " words = text.split()\n", " chunks = []\n", " i = 0\n", " while i < len(words):\n", " chunk = words[i:i + chunk_size]\n", " chunks.append(\" \".join(chunk))\n", " i += chunk_size - chunk_overlap\n", " if i >= len(words) - chunk_overlap and i < len(words): # Handle the last chunk\n", " chunks.append(\" \".join(words[i:]))\n", " break\n", "\n", " return chunks\n", "\n", "def process_scraped_data(scraped_data, chunk_size=500, chunk_overlap=50):\n", " \"\"\"\n", " Converts scraped data into formatted chunks and embeds them.\n", " Returns a list of dictionaries, each containing chunk text, source URL, and embedding.\n", " \"\"\"\n", " processed_chunks = []\n", " for url, text in tqdm(scraped_data.items(), desc=\"Processing scraped data\"):\n", " if text:\n", " chunks = chunk_text(text, chunk_size=chunk_size, chunk_overlap=chunk_overlap)\n", " for chunk in chunks:\n", " processed_chunks.append({\n", " 'text': chunk,\n", " 'source': url,\n", " })\n", " return processed_chunks\n", "\n", "def embed_chunks(processed_chunks, model, batch_size=32):\n", " \"\"\"Embeds the text chunks using the sentence transformer model.\"\"\"\n", " # Extract texts for embedding\n", " texts_to_embed = [chunk['text'] for chunk in processed_chunks]\n", "\n", " # Create a Hugging Face Dataset\n", " dataset = Dataset.from_dict({'text': texts_to_embed})\n", "\n", " # Define a function to apply embeddings\n", " def get_embeddings(batch):\n", " return {'embedding': model.encode(batch['text'], convert_to_tensor=True).tolist()}\n", "\n", " # Apply the embedding function in batches\n", " dataset = dataset.map(get_embeddings, batched=True, batch_size=batch_size)\n", "\n", " # Update the original processed_chunks list with embeddings\n", " for i, item in enumerate(processed_chunks):\n", " item['embedding'] = dataset[i]['embedding']\n", "\n", " return processed_chunks\n", "\n", "# --- Main script for processing and embedding ---\n", "\n", "# Process the scraped data into chunks\n", "formatted_chunks = process_scraped_data(all_scraped_data)\n", "\n", "# Embed the chunks\n", "embedded_data = embed_chunks(formatted_chunks, model)\n", "\n", "# `embedded_data` is now a list of dictionaries, where each dictionary\n", "# represents a chunk with its text, source URL, and embedding.\n", "# You can now use this data for similarity search, indexing, etc.\n", "\n", "print(f\"\\nCreated {len(embedded_data)} embedded chunks.\")\n", "if embedded_data:\n", " print(\"\\nExample of an embedded chunk:\")\n", "embedded_data[0]" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 1000, "referenced_widgets": [ "330e9c0131e14130a5686a6c26348cab", "996971eb981243cfb02b44f0f1eb9dfa", "9a14fe564a70464fbeb770fd55e1f9b9", "f0e69ee6770f47f0a760ebe61237832e", "ac8d2dc8f9784ea6acb604196ddb1ee4", "58e18b2295374881ac3b9c14e90c21e4", "ab13545e1a43409b9d0938e57833d1aa", "248a2eb59439413c81aa3a14cdfc2e46", "be8c042a22f94fac895d464854747463", "13674792ddad4e6995770414002427bf", "5ccb29da47874c8a8093e0082510a11d", "bc37ebf7bd44441daad100cc917ec731", "04e861e2eb19463c8defb363f0ae524d", "5ce9cc36a3764902afe2c61adaa29078", "fe74d8cd154b49a4be14c3b76f876ba6", "f6f816014f374a34a8b95424f422c3de", "ce6bb43f7e1a47f1ae779abe3bb27d1c", "737ec81589d74f1dbc15b64cbe702a07", "d04db097c7124a429bdd571a5002679c", "af39881ecb0b4c7c960a8aef8a1162bc", "3ec3894f198a45388a17d75960bbc6b4", "2914537d88c645ed9ea3583ef9d09c76", 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"62243b40f47f441780b81110fa6432e5", "7204288b4ca84e64b89f1debec76596e", "649659164f164bd790f06f2d044b09c7", "b611193e1179453b8b9b8cf50ced8ae7", "d164a917e63d4a14951f433263b9568b", "9d17e4757fb64fc7b42d8c73d55965f9", "c15878d8a208405abd19a4938d161d9f", "36c1ef6763ca4710a50403f139562933", "f869b9d87d0f4b44b7028c0432111fff", "45053ba684a447149fb5e433dff95679", "a3575986a2584da9836f336a55d5e2d4", "dde73d3b78b747b48662bb55dcb08a46", "e189f490c9df4f50aea68d04e7d5ad0b" ] }, "collapsed": true, "id": "rfwKjrD8vKF7", "outputId": "e9a8c3a5-9917-4175-bf83-cbb6e8d1d3c6" }, "execution_count": 5, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Using device: cpu\n" ] }, { "output_type": "stream", "name": "stderr", "text": [ "/usr/local/lib/python3.11/dist-packages/huggingface_hub/utils/_auth.py:94: UserWarning: \n", "The secret `HF_TOKEN` does not exist in your Colab secrets.\n", "To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n", "You will be able to reuse this secret in all of your notebooks.\n", "Please note that authentication is recommended but still optional to access public models or datasets.\n", " warnings.warn(\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "modules.json: 0%| | 0.00/349 [00:00