{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7bf0a6c9-ce7e-4610-90ae-75ae08d26cbf",
   "metadata": {},
   "outputs": [],
   "source": [
    "import ollama\n",
    "import requests\n",
    "from bs4 import BeautifulSoup\n",
    "from IPython.display import Markdown, display\n",
    "\n",
    "headers = {\n",
    " \"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",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d414ed23-ed29-4600-a2d6-28b48c279221",
   "metadata": {},
   "outputs": [],
   "source": [
    "class Website:\n",
    "\n",
    "    def __init__(self, url):\n",
    "\n",
    "        self.url = url\n",
    "        response = requests.get(url, headers=headers)\n",
    "        soup = BeautifulSoup(response.content, 'html.parser')\n",
    "        self.title = soup.title.string if soup.title else \"Website without title\"\n",
    "        for irrelevant in soup.body([\"script\", \"style\", \"img\", \"input\"]):\n",
    "            irrelevant.decompose()\n",
    "        self.text = soup.body.get_text(separator=\"\\n\", strip=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "be9f3409-b4c8-428f-96b8-3720a8c3ad47",
   "metadata": {},
   "outputs": [],
   "source": [
    "def prompt_for(website):\n",
    "    prompt = f\"Here is a website for you to summarize. Its title is {website.title}.\"\n",
    "    prompt += \"\\nPlease provide a short summary of the website. If it contains any announcements, summarize those, too.\"\n",
    "    prompt += f\"\\nHere is the Website:\\n\\n{website.text}\"\n",
    "\n",
    "    return prompt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2565ae0f-c5c5-44bc-98c2-f777f816b37f",
   "metadata": {},
   "outputs": [],
   "source": [
    "MODEL = \"llama3.2\"\n",
    "website = Website(\"https://edwarddonner.com\")\n",
    "\n",
    "def messages_for(website):\n",
    "    messages = [\n",
    "        {\"role\": \"system\", \"content\": \"You are a powerful, friendly, and helpful website summarization assistant. \\\n",
    "    You are given a website and summarize its content succinctly. You format your answer in markdown.\"},\n",
    "        {\"role\": \"user\", \"content\": prompt_for(website)}\n",
    "    ]\n",
    "\n",
    "    return messages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cdca9dc0-4ecc-494f-abee-d1ad2d373e0e",
   "metadata": {},
   "outputs": [],
   "source": [
    "def display_md_summary(website):\n",
    "    response = ollama.chat(model=MODEL, messages=messages_for(website))\n",
    "    display(Markdown(response['message']['content']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e519091c-8fc6-442b-a99b-ac393a10cdcd",
   "metadata": {},
   "outputs": [],
   "source": [
    "display_md_summary(website)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.11"
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