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feat: week1-day2-exercise

pull/26/head
CODEASOBI 5 months ago
parent
commit
2a2725b417
  1. 52
      week1/day2 EXERCISE.ipynb

52
week1/day2 EXERCISE.ipynb

@ -167,6 +167,58 @@
"\n",
"Take the code from day1 and incorporate it here, to build a website summarizer that uses Llama 3.2 running locally instead of OpenAI"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "47bc6a6e",
"metadata": {},
"outputs": [],
"source": [
"import ollama\n",
"MODEL = \"llama3.2\"\n",
"\n",
"# A class to represent a Webpage\n",
"# If you're not familiar with Classes, check out the \"Intermediate Python\" notebook\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)\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",
"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",
"# A function that writes a User Prompt that asks for summaries of websites:\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; \\\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\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",
" messages = messages_for(website)\n",
" response = ollama.chat(model=MODEL, messages=messages)\n",
" return response['message']['content']"
]
}
],
"metadata": {

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