From 43a458ff1999e08083c0890bcdee27c476c88382 Mon Sep 17 00:00:00 2001 From: Marc Mendoza <777marc@gmail.com> Date: Sat, 11 Jan 2025 11:50:29 -0500 Subject: [PATCH] Added my contributions to community-contributions --- week1/day2_solution_mm.ipynb | 171 +++++++++++++++++++++++++++++++++++ 1 file changed, 171 insertions(+) create mode 100644 week1/day2_solution_mm.ipynb diff --git a/week1/day2_solution_mm.ipynb b/week1/day2_solution_mm.ipynb new file mode 100644 index 0000000..8c6ee95 --- /dev/null +++ b/week1/day2_solution_mm.ipynb @@ -0,0 +1,171 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "3a601886-67ac-49a2-95f6-c5b69d372a1c", + "metadata": {}, + "outputs": [], + "source": [ + "# Constants\n", + "HEADERS = {\"Content-Type\": \"application/json\"}\n", + "MODEL = \"llama3.2\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3b23d779-ae31-4b66-a4cd-8f6e06079a21", + "metadata": {}, + "outputs": [], + "source": [ + "# Imports\n", + "import ollama\n", + "import os\n", + "import requests\n", + "from openai import OpenAI\n", + "from dotenv import load_dotenv\n", + "from bs4 import BeautifulSoup\n", + "from IPython.display import Markdown, display\n", + "from openai import OpenAI" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c727418f-39b5-4743-99be-09f2da7896d5", + "metadata": {}, + "outputs": [], + "source": [ + "# A class to represent a Webpage\n", + "# If you're not familiar with Classes, check out the \"Intermediate Python\" notebook\n", + "\n", + "# Some websites need you to use proper headers when fetching them:\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)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6ec51fb5-6e98-479a-95f6-00618bc548d1", + "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": "bb3cd0c6-118b-4795-be3b-4b5d945305a2", + "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": null, + "id": "ee8118f0-6aca-40ee-9b80-df170465ab54", + "metadata": {}, + "outputs": [], + "source": [ + "def messages_for(website):\n", + " return [\n", + " {\"role\": \"system\", \"content\": system_prompt},\n", + " {\"role\": \"user\", \"content\": user_prompt_for(website)}\n", + " ]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "acefe92a-8c9b-46f6-a6df-1e7c7f3b9d26", + "metadata": {}, + "outputs": [], + "source": [ + "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']" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2a96ba84-6da4-49f1-ac50-79e8fa78046f", + "metadata": {}, + "outputs": [], + "source": [ + "def display_summary(url):\n", + " summary = summarize(url)\n", + " display(Markdown(summary))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3459b7a6-6f68-41e5-9bd4-4ac44807c636", + "metadata": {}, + "outputs": [], + "source": [ + "display_summary(\"https://www.mendozacode.io\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f3c85932-87a5-4acc-8161-1cc7129a660e", + "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 +}