Merge pull request #344 from dan-palade/community-contributions-branch
Added compare-websites to community-contributions for week1
This commit is contained in:
Ed Donner
GitHub
293
week1/community-contributions/day1-compare-websites.ipynb
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293
week1/community-contributions/day1-compare-websites.ipynb
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{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "2c80b652-eadd-4d48-a512-d5945c0365d3",
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"metadata": {},
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"source": [
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"# Compare websites"
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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": "4e2a9393-7767-488e-a8bf-27c12dca35bd",
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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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"import requests\n",
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"from dotenv import load_dotenv\n",
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"from bs4 import BeautifulSoup\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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"\n",
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"# If you get an error running this cell, then please head over to the troubleshooting notebook!"
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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": "7b87cadb-d513-4303-baee-a37b6f938e4d",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Load environment variables \n",
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"\n",
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"load_dotenv(override=True)\n",
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"api_key = os.getenv('OPENAI_API_KEY')"
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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": "019974d9-f3ad-4a8a-b5f9-0a3719aea2d3",
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"metadata": {},
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"outputs": [],
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"source": [
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"openai = OpenAI()\n",
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"\n",
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"# If this doesn't work, try Kernel menu >> Restart Kernel and Clear Outputs Of All Cells, then run the cells from the top of this notebook down.\n",
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"# If it STILL doesn't work (horrors!) then please see the Troubleshooting notebook in this folder for full instructions"
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]
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},
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{
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"cell_type": "markdown",
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"id": "2aa190e5-cb31-456a-96cc-db109919cd78",
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"metadata": {},
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"source": [
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"## Website class"
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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": "c5e793b2-6775-426a-a139-4848291d0463",
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"metadata": {},
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"outputs": [],
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"source": [
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"# A class to represent a Webpage\n",
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"# If you're not familiar with Classes, check out the \"Intermediate Python\" notebook\n",
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"\n",
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"# Some websites need you to use proper headers when fetching them:\n",
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"headers = {\n",
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" \"User-Agent\": \"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/117.0.0.0 Safari/537.36\"\n",
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"}\n",
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"\n",
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"class Website:\n",
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"\n",
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" def __init__(self, url):\n",
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" \"\"\"\n",
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" Create this Website object from the given url using the BeautifulSoup library\n",
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" \"\"\"\n",
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" self.url = url\n",
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" response = requests.get(url, headers=headers)\n",
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" soup = BeautifulSoup(response.content, 'html.parser')\n",
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" self.title = soup.title.string if soup.title else \"No title found\"\n",
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" for irrelevant in soup.body([\"script\", \"style\", \"img\", \"input\"]):\n",
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" irrelevant.decompose()\n",
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" self.text = soup.body.get_text(separator=\"\\n\", strip=True)"
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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": "abdb8417-c5dc-44bc-9bee-2e059d162699",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Define our system prompt - you can experiment with this later, changing the last sentence to 'Respond in markdown in Spanish.\"\n",
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"\n",
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"system_prompt = \"You are an assistant that analyzes the contents of a website \\\n",
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"and provides a short summary, ignoring text that might be navigation related. \\\n",
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"Respond in markdown.\""
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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": "f0275b1b-7cfe-4f9d-abfa-7650d378da0c",
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"metadata": {},
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"outputs": [],
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"source": [
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"# A function that writes a User Prompt that asks for summaries of websites:\n",
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"\n",
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"def user_prompt_for(website):\n",
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" user_prompt = f\"You are looking at a website titled {website.title}\"\n",
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" user_prompt += \"\\nThe contents of this website is as follows; \\\n",
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"please provide a short summary of this website in markdown. \\\n",
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"If it includes news or announcements, then summarize these too.\\n\\n\"\n",
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" user_prompt += website.text\n",
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" return user_prompt"
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]
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},
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{
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"cell_type": "markdown",
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"id": "d06e8d78-ce4c-4b05-aa8e-17050c82bb47",
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"metadata": {},
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"source": [
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"## Website messages function"
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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": "0134dfa4-8299-48b5-b444-f2a8c3403c88",
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"metadata": {},
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"outputs": [],
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"source": [
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"# See how this function creates exactly the format above\n",
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"\n",
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"def messages_for(website):\n",
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" return [\n",
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" {\"role\": \"system\", \"content\": system_prompt},\n",
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" {\"role\": \"user\", \"content\": user_prompt_for(website)}\n",
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" ]"
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]
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},
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{
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"cell_type": "markdown",
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"id": "16f49d46-bf55-4c3e-928f-68fc0bf715b0",
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"metadata": {},
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"source": [
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"## Website summary"
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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": "905b9919-aba7-45b5-ae65-81b3d1d78e34",
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"metadata": {},
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"outputs": [],
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"source": [
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"# And now: call the OpenAI API. You will get very familiar with this!\n",
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"\n",
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"def summarize(url):\n",
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" website = Website(url)\n",
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" response = openai.chat.completions.create(\n",
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" model = \"gpt-4o-mini\",\n",
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" messages = messages_for(website)\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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"# A function to display this nicely in the Jupyter output, using markdown\n",
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"\n",
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"def display_summary(summary): \n",
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" display(Markdown(summary))"
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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": "3d926d59-450e-4609-92ba-2d6f244f1342",
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"metadata": {},
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"outputs": [],
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"source": [
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"w1 = \"https://cnn.com\"\n",
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"summary1 = summarize(w1)\n",
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"display_summary(summary1)"
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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": "45d83403-a24c-44b5-84ac-961449b4008f",
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"metadata": {},
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"outputs": [],
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"source": [
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"w2 = \"https://www.foxnews.com\"\n",
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"summary2 = summarize(w2)\n",
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"display_summary(summary2)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "0a51b45c-f3a6-4b0b-acfe-52957c04fd94",
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"metadata": {},
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"source": [
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"## Comparison between two websites"
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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": "4b30d5a5-bbe5-499c-9392-0896440f80c7",
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"metadata": {},
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"outputs": [],
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"source": [
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"system_prompt_compare = \"\"\"You are a weblsite analyst that compares the summaries of two websites\n",
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"and provides a compare and contrast bewtween the two. \n",
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"Respond in markdown.\"\"\"\n",
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"\n",
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"def user_prompt_for_compare(summary1, summary2):\n",
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" user_prompt = f\"You are asked to compare this summary of a website {summary1}\\n\\n\"\n",
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" user_prompt += f\"\\nWith the summary of this second website {summary2}\\n\\n\"\n",
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" user_prompt += \"please provide a short comparison of the two websites. \\\n",
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"List the similarities and differences in bullet point format.\\n\\n\" \n",
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" return user_prompt"
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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": "c5c9c955-840f-4c31-a1a7-b4872f77f3b4",
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"metadata": {},
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"outputs": [],
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"source": [
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"def messages_for_compare():\n",
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" return [\n",
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" {\"role\": \"system\", \"content\": system_prompt_compare},\n",
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" {\"role\": \"user\", \"content\": user_prompt_for_compare(summary1, summary2)}\n",
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" ]"
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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": "56307d77-f207-48f1-b59a-e97f6a2a37dd",
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"metadata": {},
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"outputs": [],
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"source": [
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"def compare(): \n",
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" response = openai.chat.completions.create(\n",
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" model = \"gpt-4o-mini\",\n",
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" messages = messages_for_compare()\n",
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" )\n",
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" return response.choices[0].message.content"
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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": "ae3140bb-ddad-43e2-b697-6d05ae541544",
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"metadata": {},
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"outputs": [],
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"source": [
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"display_summary(compare())"
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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": "Python 3 (ipykernel)",
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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": "3.11.12"
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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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