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Merge pull request #170 from catherinelin1018/community-contributions-week1

day2_exercise_cl.ipynb
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Ed Donner 3 months ago committed by GitHub
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      week1/community-contributions/day2_exercise_cl.ipynb

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week1/community-contributions/day2_exercise_cl.ipynb

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{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"id": "fc3a96d1-eedf-4e3a-b3ce-151485c574b5",
"metadata": {},
"outputs": [],
"source": [
"import requests\n",
"from bs4 import BeautifulSoup\n",
"from IPython.display import Markdown, display"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "385dc3d5-f6ce-46d8-958e-83dc1150c24e",
"metadata": {},
"outputs": [],
"source": [
"OLLAMA_API = \"http://localhost:11434/api/chat\"\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",
"MODEL = \"llama3.2\""
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "21f7dacc-1fa8-491c-8e94-39238dae52b3",
"metadata": {},
"outputs": [],
"source": [
"class Website:\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)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "ca431e32-9191-4940-b62d-f25e8cbac627",
"metadata": {},
"outputs": [],
"source": [
"web = Website(\"https://silviayomdesign.com/\")\n",
"print(web.title)\n",
"print(web.text)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "76475815-0dbc-451b-ab65-f7e2ea3aaa8a",
"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 might be navigation related. \\\n",
"Respond in markdown.\""
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "3cf03913-f595-4817-8580-19b182c599de",
"metadata": {},
"outputs": [],
"source": [
"def user_prompt_for(website):\n",
" user_prompt = f\"You are looking at a very artistic graphic designer's website titled name {website.title}\"\n",
" user_prompt += \"\\nHer creativity of her works are as follow;\\\n",
"please provide a short summary of her works in markdown. \\n\"\n",
" user_prompt += website.text\n",
" return user_prompt"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "6f130cfe-756b-4df8-b1f0-6918956a6162",
"metadata": {},
"outputs": [],
"source": [
"print(user_prompt_for(web))"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "85d85b64-1452-408f-bfae-d27b52d7dfa7",
"metadata": {},
"outputs": [],
"source": [
"messages = [\n",
" {\"role\": \"system\", \"content\": system_prompt},\n",
" {\"role\": \"user\", \"content\": user_prompt_for(web)}\n",
"]"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "36d66055-66d6-4123-b092-eceab055829d",
"metadata": {},
"outputs": [],
"source": [
"payload = {\n",
" \"model\": MODEL,\n",
" \"messages\": messages,\n",
" \"stream\": False\n",
"}"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "163db8a9-b0eb-49f3-a5f2-1e74cf51c245",
"metadata": {},
"outputs": [],
"source": [
"response = requests.post(OLLAMA_API, json=payload, headers=HEADERS)\n",
"print(response.json()[\"message\"][\"content\"])"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "afabfff5-81e5-4b61-aca9-6c19d3584b86",
"metadata": {},
"outputs": [],
"source": [
"def messages_for(website):\n",
" return [\n",
" {\"role\": \"system\", \"content\": system_prompt},\n",
" {\"role\": \"user\", \"content\": user_prompt_for(web)}\n",
" ]"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "b2e83b58-16fc-4049-8116-24a0cbb3635a",
"metadata": {},
"outputs": [],
"source": [
"messages_for(web)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "05ed519a-514f-4ed8-b323-4f4817e1e1c6",
"metadata": {},
"outputs": [],
"source": [
"import ollama\n",
"def summarize(url):\n",
" website = Website(url)\n",
" response = ollama.chat(\n",
" model=MODEL, \n",
" messages=messages\n",
" )\n",
" return response[\"message\"][\"content\"]"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "b182f686-0a3e-4959-9bfd-0a59d2befd4c",
"metadata": {},
"outputs": [],
"source": [
"summarize(\"https://silviayomdesign.com/\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "f4f1f807-28d4-4b8b-9698-9b90dcbac59f",
"metadata": {},
"outputs": [],
"source": [
"def display_summary(url):\n",
" summary = summarize(url)\n",
" display(Markdown(summary))"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "a988d29b-ed36-4a40-bd77-0f7d60a29ac3",
"metadata": {},
"outputs": [],
"source": [
"display_summary(\"https://silviayomdesign.com/\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "15e72eeb-1c35-4bb2-9596-6ff2546aa046",
"metadata": {},
"outputs": [],
"source": []
}
],
"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": "3.11.11"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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