diff --git a/community-contributions/day1_product_comparison_openai_ollama.ipynb b/community-contributions/day1_product_comparison_openai_ollama.ipynb new file mode 100644 index 0000000..6c76c1f --- /dev/null +++ b/community-contributions/day1_product_comparison_openai_ollama.ipynb @@ -0,0 +1,226 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "38795b24-9801-4cfb-a000-ccd7f41e6128", + "metadata": {}, + "source": [ + "\n", + "# šŸ§  Multi-Product Competitor Intelligence Summarizer using Web Scraping + LLM\n", + "\n", + "This notebook scrapes product pages using `Selenium`, collects the product information, and summarizes key features and comparison insights using `Ollama (LLaMA3) and OpenAI`.\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7b87cadb-d513-4303-baee-a37b6f938e4d", + "metadata": {}, + "outputs": [], + "source": [ + "# imports\n", + "\n", + "import os\n", + "import requests\n", + "from dotenv import load_dotenv\n", + "from openai import OpenAI\n", + "\n", + "# Load environment variables in a file called .env\n", + "\n", + "load_dotenv(override=True)\n", + "api_key = os.getenv('OPENAI_API_KEY')\n", + "\n", + "# Check the key\n", + "\n", + "if not api_key:\n", + " print(\"No API key was found - please head over to the troubleshooting notebook in this folder to identify & fix!\")\n", + "elif not api_key.startswith(\"sk-proj-\"):\n", + " print(\"An API key was found, but it doesn't start sk-proj-; please check you're using the right key - see troubleshooting notebook\")\n", + "elif api_key.strip() != api_key:\n", + " print(\"An API key was found, but it looks like it might have space or tab characters at the start or end - please remove them - see troubleshooting notebook\")\n", + "else:\n", + " print(\"API key found and looks good so far!\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "abdb8417-c5dc-44bc-9bee-2e059d162699", + "metadata": {}, + "outputs": [], + "source": [ + "# Define our system prompt - you can experiment with this later, changing the last sentence to 'Respond in markdown in Spanish.\"\n", + "\n", + "system_prompt = \"Summarize the following product information for comparison.\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "38245e18", + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "# šŸ“¦ Install required packages (run once)\n", + "!pip install selenium bs4 requests\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "88ae528b-aefe-4c64-b927-676e739194af", + "metadata": {}, + "outputs": [], + "source": [ + "openai = OpenAI()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d4a831a5", + "metadata": {}, + "outputs": [], + "source": [ + "def summarize_with_openai(text, model=\"gpt-4o-mini\"):\n", + " response = openai.chat.completions.create(\n", + " model=model,\n", + " messages=[\n", + " {\"role\": \"system\", \"content\": system_prompt},\n", + " {\"role\": \"user\", \"content\": text}\n", + " ],\n", + " temperature=0.7\n", + " )\n", + " return response.choices[0].message.content\n", + "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ef65cd72", + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "# āš™ļø Selenium setup (headless)\n", + "from selenium import webdriver\n", + "from selenium.webdriver.chrome.options import Options\n", + "from selenium.webdriver.common.by import By\n", + "import time\n", + "\n", + "def scrape_text_from_url(url):\n", + " options = Options()\n", + " options.add_argument(\"--headless=new\")\n", + " driver = webdriver.Chrome(options=options)\n", + " driver.get(url)\n", + " time.sleep(3)\n", + " \n", + " # You can tune this selector depending on the site\n", + " body = driver.find_element(By.TAG_NAME, 'body')\n", + " text = body.text\n", + " driver.quit()\n", + " return text.strip()\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "36e19014", + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "# šŸ§  LLM Prompting using Ollama (local llama3)\n", + "import subprocess\n", + "\n", + "def summarize_with_ollama(text):\n", + " prompt = f\"Summarize the following product description:\\n\\n{text}\\n\\nSummary:\"\n", + " try:\n", + " print(\"inside ollama\")\n", + " result = subprocess.run(\n", + " [\"ollama\", \"run\", \"llama3.2\"],\n", + " input=prompt,\n", + " capture_output=True, text=True, check=True, encoding=\"utf-8\"\n", + " )\n", + " print(\"git result\")\n", + " return result.stdout.strip()\n", + " except subprocess.CalledProcessError as e:\n", + " return f\"Error running ollama: {e.stderr}\"\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e04cea6e", + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "# šŸ” Analyze multiple product URLs and summarize\n", + "product_urls = {\n", + " \"iPhone 15 Pro\": \"https://www.apple.com/in/iphone-15-pro/\",\n", + " \"Samsung S24 Ultra\": \"https://www.samsung.com/in/smartphones/galaxy-s24-ultra/\",\n", + "}\n", + "\n", + "product_texts = {}\n", + "\n", + "for name, url in product_urls.items():\n", + " print(f\"Scraping {name} ...\")\n", + " product_texts[name] = scrape_text_from_url(url)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5ebd5a20", + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "# šŸ“„ Display side-by-side summaries\n", + "for name, text in product_texts.items():\n", + " print(f\"\\nšŸ”¹ {name} Summary with Ollama:\")\n", + " print(summarize_with_ollama(text))\n", + "\n", + " print(f\"\\nšŸ”¹ {name} Summary with OpenAI GPT:\")\n", + " print(summarize_with_openai(text))\n", + " print(\"=\"*100)\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "935e0081-ccf5-4d9a-a984-ee82c77c04a2", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +}