152 lines
5.0 KiB
Plaintext
152 lines
5.0 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "0bb7f4e9",
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"metadata": {},
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"source": [
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"### Prepare dependencies\n",
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"I had issues with selenium and my chromedriver, I had to install the exact dependencies below to make it work.\n",
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"First add the dependency selenium by executing folowing command\n",
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"``` bash\n",
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"uv pip install selenium==4.11.2\n",
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"uv pip install urllib3==1.26.16\n",
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"```\n",
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"***Do not forget to restart the Jupyter kernel to make the package available.***"
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]
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},
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{
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"cell_type": "markdown",
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"id": "7a116541",
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"metadata": {},
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"source": [
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"### Prefered Web Browser\n",
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"This script will use Safari on MacOSX, please install the Safari driver when required [Safari driver](https://webkit.org/blog/6900/webdriver-support-in-safari-10).\n",
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"It will assume that Edge is used on Windows systems, install the Chrome driver from: [ChromeDriver](https://googlechromelabs.github.io/chrome-for-testing/#stable) \n",
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"Feel free to add other browser support when required.\n",
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"\n",
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"I am on Windows and I extracted the ChromeDriver and put it in my %USERPROFILE%\\AppData\\Local\\Microsoft\\WindowsApps folder to ensure that it is available via the PATH. Any folder available in the PATH environment setting will work.\n",
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"Start cmd and execute set to see all folders in the PATH environment setting.\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "1353f8ef",
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"metadata": {},
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"outputs": [],
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"source": [
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"# imports\n",
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"\n",
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"import os\n",
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"from dotenv import load_dotenv\n",
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"from scraper import fetch_website_contents\n",
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"from IPython.display import Markdown, display\n",
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"from openai import OpenAI\n",
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"from selenium import webdriver"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "24d86842",
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"metadata": {},
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"outputs": [],
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"source": [
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"def verify_openai_api_key():\n",
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" \"\"\"Verify that the OpenAI API key is set in the environment variables.\"\"\"\n",
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" load_dotenv(override=True)\n",
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" api_key = os.getenv('OPENAI_API_KEY')\n",
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"\n",
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" if not api_key:\n",
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" raise ValueError(\"OPENAI_API_KEY is not set in environment variables.\")\n",
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" \n",
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" # Dry run with a simple request to verify the key.\n",
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" try:\n",
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" client = OpenAI(api_key=api_key)\n",
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" client.models.list()\n",
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" except:\n",
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" raise ValueError(\"Invalid OPENAI_API_KEY.\")\n",
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" \n",
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" return api_key\n",
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"\n",
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"def get_webdriver():\n",
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" \"\"\"Initialize and return a Selenium WebDriver based on the operating system.\"\"\"\n",
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" \n",
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" # Verify the os, use Safari for MacOS, Chrome for others.\n",
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" if os.name == 'posix': \n",
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" driver = webdriver.Safari()\n",
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" else:\n",
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" driver = webdriver.Chrome()\n",
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" return driver\n",
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"\n",
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"def fetch_website_contents_selenium(url: str) -> str:\n",
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" \"\"\"Fetch website contents using Selenium WebDriver.\"\"\"\n",
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" driver = get_webdriver()\n",
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" driver.get(url)\n",
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" content = driver.page_source\n",
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" driver.quit()\n",
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" return content\n",
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"\n",
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"def messages_for(website: str) -> list[dict]:\n",
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" return [\n",
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" {\n",
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" \"role\": \"system\",\n",
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" \"content\": \"\"\"You are a helpful assistant that summarizes website content.\n",
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" You can perfectly understand HTML structure and extract meaningful information from it.\"\"\"\n",
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" },\n",
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" {\n",
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" \"role\": \"user\",\n",
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" \"content\": f\"Summarize the following website content:\\n\\n{website}\"\n",
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" }\n",
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" ]\n",
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"\n",
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"def summarize_website(url: str, api_key: str) -> str:\n",
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" content = fetch_website_contents_selenium(url)\n",
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" openai_client = OpenAI(api_key=api_key)\n",
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" response = openai_client.chat.completions.create(\n",
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" model = \"gpt-4.1-mini\",\n",
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" messages = messages_for(content)\n",
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" )\n",
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" return response.choices[0].message.content\n",
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"\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "9a7e7f0a",
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"metadata": {},
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"outputs": [],
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"source": [
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"try:\n",
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" api_key = verify_openai_api_key()\n",
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" print(summarize_website(\"https://www.forbes.com/\", api_key))\n",
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"except Exception as e:\n",
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" print(f\"Error: {e}\")"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "llm-engineering",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.12.12"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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