From e4d75d010b2b8c55765c915049ffd0fe49a06ddf Mon Sep 17 00:00:00 2001 From: jkumarkannan Date: Sun, 20 Apr 2025 17:43:14 -0400 Subject: [PATCH] Add files via upload First home work and First Github file ever! --- ..._summarize website using local llama.ipynb | 241 ++++++++++++++++++ 1 file changed, 241 insertions(+) create mode 100644 week1/community-contributions/day1_summarize website using local llama.ipynb diff --git a/week1/community-contributions/day1_summarize website using local llama.ipynb b/week1/community-contributions/day1_summarize website using local llama.ipynb new file mode 100644 index 0000000..52e40c4 --- /dev/null +++ b/week1/community-contributions/day1_summarize website using local llama.ipynb @@ -0,0 +1,241 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "1b809d22-d170-4db3-a298-1740ce06b534", + "metadata": {}, + "outputs": [], + "source": [ + "#Udemy Course >> LLM Engineering: Master AI and LLMs\n", + "#Student: Jay\n", + "#Date: Apr 20, 2025\n", + "#Home work: Day1 - Summmarize website using local LLama\n", + "\n", + "import os\n", + "import requests\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": 10, + "id": "01e91579-7e32-4c4d-9cc9-c06d13c16209", + "metadata": {}, + "outputs": [], + "source": [ + "# Constants\n", + "\n", + "OLLAMA_API = \"http://localhost:11434/api/chat\"\n", + "HEADERS = {\"Content-Type\": \"application/json\"}\n", + "MODEL = \"llama3.2\"" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "8d780fba-868c-4216-88f5-1e3ca5ad43ed", + "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": 3, + "id": "839b645f-90ee-434d-b0bd-1cb4e574a8de", + "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": 4, + "id": "ef2453e8-3eca-4f6d-8ccf-9e5274b589a7", + "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": 5, + "id": "6ec397d5-e9b0-411d-8bdb-66605273cb11", + "metadata": {}, + "outputs": [], + "source": [ + "messages = [\n", + " {\"role\": \"system\", \"content\": \"You are a snarky assistant\"},\n", + " {\"role\": \"user\", \"content\": \"What is 2 + 2?\"}\n", + "]" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "76aed9eb-a085-4687-859d-817c771156fa", + "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": 7, + "id": "26de4682-cf4f-4b7e-8cb2-049f7f46b758", + "metadata": {}, + "outputs": [], + "source": [ + "def summarize(url):\n", + " website = Website(url)\n", + " ollama_via_openai = OpenAI(base_url='http://localhost:11434/v1', api_key='ollama')\n", + "\n", + " response = ollama_via_openai.chat.completions.create(\n", + " model=MODEL,\n", + " messages=messages_for(website) \n", + " )\n", + " return response.choices[0].message.content" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "16b2532a-d44c-4903-83ec-0b828a2d1b92", + "metadata": {}, + "outputs": [], + "source": [ + "def display_summary(url):\n", + " summary = summarize(url)\n", + " display(Markdown(summary))" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "86af4905-5d5c-47c9-b9b2-27257452ff94", + "metadata": {}, + "outputs": [ + { + "data": { + "text/markdown": [ + "**Anthropic Website Summary**\n", + "=====================================\n", + "\n", + "### Mission and Values\n", + "\n", + "Anthropic's mission is to build AI that serves humanity's long-term well-being. They focus on designing powerful technologies with human benefit at their foundation, aiming to demonstrate responsible AI development in practice.\n", + "\n", + "### Notable Releases\n", + "\n", + "#### 2025\n", + "\n", + "* **Claude 3.7 Sonnet**: Anthropic's most intelligent AI model, now available.\n", + "* Recent news articles:\n", + "\t+ \"Tracing the thoughts of a large language model: Interpretability\"\n", + "\t+ \"Anthropic Economic Index: Societal Impacts\"\n", + "\n", + "### Products and Solutions\n", + "\n", + "* **Claude**: A suite of AI tools for building applications and custom experiences with human benefit in mind.\n", + "* **Claude Overview**, **API Platform**, and various other products, including:\n", + "\t+ **Claude 3.5 Haiku**\n", + "\t+ **Claude 3 Opus**\n", + "\n", + "### Research and Commitments\n", + "\n", + "* The Anthropic Academy: A learning platform for developers to build AI solutions with Claude.\n", + "* Responsible scaling policy and alignment science initiatives.\n", + "\n", + "### News Section (Selection)**\n", + "\n", + "Anthropic's recent news articles:\n", + "* \"Claude extended thinking\"\n", + "* \"Alignment faking in large language models\"\n", + "\n", + "### Company Information\n", + "\n", + "For more information on Anthropic, including company, careers, and help resources, follow the provided links." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "display_summary(\"https://anthropic.com\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a5151062-614e-44ff-b341-d3f64e28aa93", + "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 +}