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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", + 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"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: 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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: 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https://learn.microsoft.com/en-us/previous-versions/xamarin/android/get-started/hello-android/hello-android-quickstart-images/vs/03-open-layout-w158.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/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", + 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"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