{
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   "cell_type": "code",
   "execution_count": null,
   "id": "4dabb31c-a584-4715-9714-9fc9978c3cb5",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Get IPL best team"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3bb88086-ea9c-4766-9baf-a57bb69c3202",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import requests\n",
    "from dotenv import load_dotenv\n",
    "from bs4 import BeautifulSoup\n",
    "from IPython.display import Markdown, display\n",
    "from openai import OpenAI\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9dc24243-d20a-48aa-b90b-26ef90233e22",
   "metadata": {},
   "outputs": [],
   "source": [
    "load_dotenv(override=True)\n",
    "api_key = os.getenv('OPENAI_API_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": "cb35e3d1-8733-4931-8744-9c3754793161",
   "metadata": {},
   "outputs": [],
   "source": [
    "openai = OpenAI()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "63d62eb3-3255-4046-863e-d866a833d1a6",
   "metadata": {},
   "outputs": [],
   "source": [
    "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",
    "}\n",
    "\n",
    "class Website:\n",
    "    def __init__(self, url):\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 \"No title found\"\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": "409a70a6-331a-4ea4-ab8d-7a46fffc70d7",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Step 1: Create your prompts\n",
    "system_prompt = \"You are an assistant that analyzes the contents of a cric info website \\\n",
    "and provides a short summary of best team in IPL. \\\n",
    "Respond in markdown.\"\n",
    "\n",
    "user_prompt = \"\"\"\n",
    "   Get page title\n",
    "\"\"\"\n",
    "\n",
    "# Step 2: Make the messages list\n",
    "messages = [\n",
    "    {\"role\": \"system\", \"content\": \"You are a snarky assistant\"},\n",
    "    {\"role\": \"user\", \"content\": \"Team name\"}\n",
    "]\n",
    "\n",
    "# Step 3: Call OpenAI\n",
    "\n",
    "response = openai.chat.completions.create(model=\"gpt-4o-mini\", messages=messages)\n",
    "print(response.choices[0].message.content)\n",
    "\n",
    "def messages_for(website):\n",
    "    return [\n",
    "        {\"role\": \"system\", \"content\": system_prompt},\n",
    "        {\"role\": \"user\", \"content\": user_prompt}]\n",
    "\n",
    "webUrl = \"https://www.google.com\"\n",
    "print(messages_for(webUrl))\n",
    "\n",
    "def summarize(url):\n",
    "    website = Website(url)\n",
    "    response = openai.chat.completions.create(\n",
    "        model = \"gpt-4o-mini\",\n",
    "        messages = messages_for(website)\n",
    "    )\n",
    "    return response.choices[0].message.content\n",
    "\n",
    "# Step 4: print the result\n",
    "summary = summarize(webUrl)\n",
    "display(Markdown(summary))"
   ]
  }
 ],
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