Add day2 Ollama test notebook
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community-contributions/day2ollamatest.ipynb
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97
community-contributions/day2ollamatest.ipynb
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "4d02ac4b-9cab-42bb-b8a3-123d53913471",
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"metadata": {},
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"outputs": [],
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"source": [
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"import os\n",
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"import requests\n",
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"from bs4 import BeautifulSoup\n",
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"from IPython.display import Markdown, display\n",
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"import ollama\n",
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"\n",
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"MODEL = \"llama3.2\"\n",
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"\n",
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"# Optional headers to avoid request blocks\n",
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"HEADERS = {\n",
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" \"User-Agent\": \"Mozilla/5.0 (Windows NT 10.0; Win64; x64)\"\n",
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"}\n",
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"\n",
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"\n",
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"class Website:\n",
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" def __init__(self, url):\n",
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" \"\"\"\n",
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" Create this Website object from the given url using the BeautifulSoup library\n",
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" \"\"\"\n",
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" self.url = url\n",
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" response = requests.get(url, headers=HEADERS)\n",
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" soup = BeautifulSoup(response.content, 'html.parser')\n",
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" self.title = soup.title.string if soup.title else \"No title found\"\n",
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" if soup.body:\n",
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" for irrelevant in soup.body([\"script\", \"style\", \"img\", \"input\"]):\n",
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" irrelevant.decompose()\n",
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" self.text = soup.body.get_text(separator=\"\\n\", strip=True)\n",
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" else:\n",
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" self.text = \"\"\n",
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"\n",
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"\n",
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"system_prompt = \"\"\"You are an assistant that analyzes the contents of a website \n",
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"and provides a short summary, ignoring navigation text. Respond in markdown.\"\"\"\n",
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"\n",
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"\n",
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"def user_prompt_for(website):\n",
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" return f\"\"\"You are looking at a website titled {website.title}.\n",
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"The contents of this website are as follows. Please provide a short summary in markdown. \n",
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"If it includes news or announcements, summarize these too.\n",
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"\n",
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"{website.text}\n",
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"\"\"\"\n",
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"\n",
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"\n",
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"def summarize(url):\n",
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" website = Website(url)\n",
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" response = ollama.chat(\n",
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" model=MODEL,\n",
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" messages=[\n",
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" {\"role\": \"system\", \"content\": system_prompt},\n",
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" {\"role\": \"user\", \"content\": user_prompt_for(website)}\n",
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" ]\n",
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" )\n",
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" return response['message']['content']\n",
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"\n",
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"\n",
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"def display_summary(url):\n",
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" summary = summarize(url)\n",
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" display(Markdown(summary))\n",
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"\n",
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"\n",
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"# Example usage\n",
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"display_summary(\"https://edwarddonner.com\")\n"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.13"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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