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{
"cells": [
{
"cell_type": "code",
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"id": "a767b6bc-65fe-42b2-988f-efd54125114f",
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"source": [
"import os\n",
"import requests\n",
"from dotenv import load_dotenv\n",
"from bs4 import BeautifulSoup\n",
"from IPython.display import Markdown, display, clear_output\n",
"from openai import OpenAI\n",
"\n",
"load_dotenv(override=True)\n",
"# Deep seek API payload\n",
"# api_key = os.getenv('DEEPSEEK_API_KEY')\n",
"# base_url=os.getenv('DEEPSEEK_BASE_URL')\n",
"# MODEL = \"deepseek-chat\"\n",
"\n",
"# Day 2 Exercise with Ollama API\n",
"api_key = os.getenv('OLLAMA_API_KEY')\n",
"base_url = os.getenv('OLLAMA_BASE_URL')\n",
"MODEL = \"llama3.2\"\n",
"\n",
"system_prompt = \"You are an assistant that analyzes the contents of a website \\\n",
"and provides a short summary, ignoring text that might be navigation related. \\\n",
"Respond in markdown.\"\n",
"\n",
"messages = [\n",
" {\"role\": \"system\", \"content\": \"You are a snarky assistant\"},\n",
" {\"role\": \"user\", \"content\": \"What is 2 + 2?\"}\n",
"]\n",
" \n",
"# Check the key\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-; Looks like you are using DeepSeek (R1) model.\")\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",
" \n",
"openai = OpenAI(api_key=api_key, base_url=base_url)\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",
"}\n",
"\n",
"class Website:\n",
"\n",
" def __init__(self, url):\n",
" \"\"\"\n",
" Create this Website object from the given url using the BeautifulSoup library\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 \"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)\n",
" \n",
"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; please provide a short summary of this website in markdown. If it includes news or announcements, then summarize these too.\\n\\n\"\n",
" user_prompt += website.text\n",
" return user_prompt\n",
"\n",
"def messages_for(website):\n",
" return [\n",
" {\"role\": \"system\", \"content\": system_prompt},\n",
" {\"role\": \"user\", \"content\": user_prompt_for(website)}\n",
" ]\n",
" \n",
"def summarize(url):\n",
" website = Website(url)\n",
" response = openai.chat.completions.create(\n",
" model=MODEL,\n",
" messages=messages_for(website),\n",
" stream=True\n",
" )\n",
" print(\"Streaming response:\")\n",
" accumulated_content = \"\" # Accumulate the content here\n",
" for chunk in response:\n",
" if chunk.choices[0].delta.content: # Check if there's content in the chunk\n",
" accumulated_content += chunk.choices[0].delta.content # Append the chunk to the accumulated content\n",
" clear_output(wait=True) # Clear the previous output\n",
" display(Markdown(accumulated_content)) # Display the updated content\n",
"\n",
"def display_summary():\n",
" url = str(input(\"Enter the URL of the website you want to summarize: \"))\n",
" summarize(url)\n",
"\n",
"display_summary()"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "01c9e5e7-7510-43ef-bb9c-aa44b15d39a7",
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"language_info": {
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