You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
 
 

193 lines
5.1 KiB

{
"cells": [
{
"cell_type": "markdown",
"id": "1faf8b29-2ba6-40c7-89ee-71f71e234f11",
"metadata": {},
"source": [
"## Extra requirements\n",
"```bash\n",
"pip install -q -U google-genai\n",
"```\n",
"\n",
"## Required environment variable\n",
"GEMINI_API_KEY\n",
"\n",
"### How to get GEMINI API KEY\n",
"\n",
"Use the link: [gemini api key](https://aistudio.google.com/app/apikey) to get yours."
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "be06ce76-20ee-4066-9582-a4ed745f278f",
"metadata": {},
"outputs": [],
"source": [
"import os\n",
"import requests\n",
"from bs4 import BeautifulSoup\n",
"from dotenv import load_dotenv\n",
"from google import genai\n",
"from google.genai import types"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "f3a93b10-f528-4e68-bb95-942596cad52e",
"metadata": {},
"outputs": [],
"source": [
"load_dotenv()\n",
"api_key = os.getenv(\"GEMINI_API_KEY\")\n",
"\n",
"if not api_key or len(api_key) < 39:\n",
" print(\"No correct api key was found\")\n",
"else:\n",
" print(\"Api key found. Good to go!\")"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "37e7b93f-faf7-415d-8d8c-35e81c6388d3",
"metadata": {},
"outputs": [],
"source": [
"client = genai.Client(api_key=api_key)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "95a6ece8-8402-4cad-96b9-36a6ea444c54",
"metadata": {},
"outputs": [],
"source": [
"class Website:\n",
" url: str\n",
" title: str\n",
" text: str\n",
"\n",
" def __init__(self, url):\n",
" self.url = url\n",
" response = requests.get(url)\n",
" soup = BeautifulSoup(response.content, \"html.parser\")\n",
" self.title = soup.title.string if soup.title else \"No title was found\"\n",
"\n",
" for irr in soup.body([\"script\", \"style\", \"img\", \"input\"]):\n",
" irr.decompose()\n",
" self.text = soup.body.get_text(separator=\"\\n\", strip=True)\n",
" "
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "24bbd1dd-dca4-4bbc-ae91-4bad227a4278",
"metadata": {},
"outputs": [],
"source": [
"ed = Website(\"https://edwarddonner.com\")\n",
"print(ed.title)\n",
"print(ed.text)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "233b8904-7a4a-4265-8b0d-20934ae4b29c",
"metadata": {},
"outputs": [],
"source": [
"system_prompt = \"You are an assistant that analyzes the contents of a website \\\n",
"and provides a short summary, ignoring text that navigation related. Respond \\\n",
"in markdown.\"\n"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "5c996c03-84ab-4378-8a55-026d94404d35",
"metadata": {},
"outputs": [],
"source": [
"messages = [{\"role\": \"user\", \"content\": system_prompt}]"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "abf9464e-dc8d-4099-aeb6-495498326673",
"metadata": {},
"outputs": [],
"source": [
"def user_prompt_for(website):\n",
" user_prompt = f\"You are looking at a website titled {website.title}\"\n",
" user_prompt += \"\\nThe contents of this website is as follows; \\\n",
"please provide a short summary of this website in markdown. \\\n",
"If it includes news or announcements, then summarize these too.\\n\\n\"\n",
" user_prompt += website.text\n",
" return user_prompt"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "32ab2d29-02d1-43c5-b920-f2621f292b23",
"metadata": {},
"outputs": [],
"source": [
"def summarize(url, model=\"gemini\"):\n",
" website = Website(url)\n",
" if model == \"ollama\":\n",
" import ollama\n",
" Model=\"llama3.2\"\n",
" messages[0][\"content\"] += f\" Website: {url}\"\n",
" response = ollama.chat(model=Model, messages=messages)\n",
" return response[\"message\"][\"content\"]\n",
" else:\n",
" response = client.models.generate_content(\n",
" model=\"gemini-2.0-flash\",\n",
" config=types.GenerateContentConfig(\n",
" system_instruction=system_prompt),\n",
" contents=user_prompt_for(website)\n",
" )\n",
" return response.text"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "a2a0e518-7198-489d-a0ce-2eec617f939f",
"metadata": {},
"outputs": [],
"source": [
"summarize(\"https://edwarddonner.com\", \"gemini\")"
]
}
],
"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": "3.12.0"
}
},
"nbformat": 4,
"nbformat_minor": 5
}