From the uDemy course on LLM engineering.
https://www.udemy.com/course/llm-engineering-master-ai-and-large-language-models
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246 lines
7.9 KiB
246 lines
7.9 KiB
{ |
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"cells": [ |
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{ |
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"cell_type": "raw", |
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"id": "309296ff-f0c2-4e31-986c-b6e779ad17cd", |
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"metadata": {}, |
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"source": [ |
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"Take the code from day1 and incorporate it here, to build a website summarizer that uses Llama 3.2 running locally instead of OpenAI; use either of the above approaches." |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": 1, |
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"id": "62b6082c-67d0-4ebc-97a2-8b7ee61e0294", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"# imports\n", |
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"\n", |
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"import os\n", |
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"import requests\n", |
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"from dotenv import load_dotenv\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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"# If you get an error running this cell, then please head over to the troubleshooting notebook!" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": 2, |
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"id": "1e048442-d95c-4017-b0ee-34966e8b5452", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"# Constants\n", |
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"\n", |
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"OLLAMA_API = \"http://localhost:11434/api/chat\"\n", |
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"HEADERS = {\"Content-Type\": \"application/json\"}\n", |
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"MODEL = \"llama3.2\"" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": 3, |
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"id": "6c7d475d-b1bb-4d99-94af-2435593a9aff", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"# A class to represent a Webpage\n", |
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"# If you're not familiar with Classes, check out the \"Intermediate Python\" notebook\n", |
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"\n", |
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"# Some websites need you to use proper headers when fetching them:\n", |
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"headers = {\n", |
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" \"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", |
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"}\n", |
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"\n", |
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"class Website:\n", |
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"\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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" 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)" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": 4, |
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"id": "7bedc3b2-01b6-41c2-b0a3-4f2d8f5772aa", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"# Define our system prompt - you can experiment with this later, changing the last sentence to 'Respond in markdown in Spanish.\"\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 text that might be navigation related. \\\n", |
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"Respond in markdown.\"" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": 17, |
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"id": "23fcb3fc-af67-44f3-8f2a-475d1c7e7a69", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"# A function that writes a User Prompt that asks for summaries of websites:\n", |
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"\n", |
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"def user_prompt_for(website):\n", |
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" user_prompt = f\"You are looking at a website titled {website.title}\"\n", |
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" user_prompt += \"\\nThe contents of this website is as follows; \\\n", |
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"please provide a short summary of this website in markdown. \\\n", |
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"If it includes news or announcements, then summarize these too. \\n\\n\"\n", |
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" user_prompt += website.text\n", |
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" return user_prompt" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": 6, |
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"id": "b3f57f88-f5c9-42f8-8200-9a33c3ea8348", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"# See how this function creates exactly the format above\n", |
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"\n", |
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"def messages_for(website):\n", |
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" return [\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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" ]" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": 7, |
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"id": "3922e700-1695-4dfb-8004-fe9356178056", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"def message_payload(website):\n", |
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" url = Website(website)\n", |
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" payload = {\n", |
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" \"model\": MODEL,\n", |
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" \"messages\": messages_for(url),\n", |
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" \"stream\": False\n", |
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" }\n", |
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" return payload" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": 8, |
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"id": "97e99c58-4a71-4c2c-9255-1b676446e37b", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"# And now: call the OpenAI API. You will get very familiar with this!\n", |
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"\n", |
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"def summarize(url):\n", |
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" payload = message_payload(url)\n", |
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" response = requests.post(OLLAMA_API, json=payload, headers=HEADERS)\n", |
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" return response.json()['message']['content']" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": 9, |
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"id": "742d3b5b-c7bd-40c3-a75e-863d1e9f6caa", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"# A function to display this nicely in the Jupyter output, using markdown\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))" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": 18, |
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"id": "08332604-9de0-4cac-a9cd-7591ec10d66b", |
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"metadata": {}, |
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"outputs": [ |
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{ |
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"data": { |
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"text/markdown": [ |
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"**Resumen del sitio web**\n", |
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"\n", |
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"El sitio web Plataforma para fórex y las bolsas de valores: MetaTrader 5 es una plataforma comercial destinada a los traders de forex, acciones y otros activos financieros. La plataforma ofrece una variedad de herramientas y características, incluyendo gráficos, análisis técnico y fundamental, alertas y servicios comerciales.\n", |
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"\n", |
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"**Noticias**\n", |
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"\n", |
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"* MetaQuotes presentará sus últimas novedades en la iFX Expo de México del 9 al 10 de abril.\n", |
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"* El bróker global regulado ha ampliado significativamente la gama de herramientas disponibles para los tráders con MetaTrader 5 Automations.\n", |
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"* MetaTrader 5 ha sido premiada como la mejor plataforma comercial multimercado en la feria de Ciudad de México.\n", |
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"* La aplicación móvil MetaTrader 5 para iOS ha recibido una actualización con características nuevas, incluyendo objetos de texto para gráficos y temporizador de barras.\n", |
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"\n", |
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"**Características destacadas**\n", |
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"\n", |
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"* Trading móvil con aplicaciones para iPhone/iPad y Android\n", |
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"* Señales comerciales y copiado de operaciones\n", |
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"* Servicios comerciales y alertas\n", |
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"* Gráficos y análisis técnico y fundamental\n", |
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"* Entorno de desarrollo MQL5 y lenguaje de programación MQL5\n", |
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"* Virtual hosting (VPS) y trading automatizado\n", |
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"\n", |
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"**Servicios**\n", |
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"\n", |
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"* Descarga de la plataforma MetaTrader 5\n", |
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"* Comprar la plataforma MetaTrader 5\n", |
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"* Conexión a la plataforma web y tradere automatizado\n", |
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"* Acceso a la comunidad de traders y recursos educativos" |
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], |
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"text/plain": [ |
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"<IPython.core.display.Markdown object>" |
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] |
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}, |
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"metadata": {}, |
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"output_type": "display_data" |
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} |
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], |
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"source": [ |
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"display_summary(\"https://www.metatrader5.com/es\")" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"id": "adb000a9-e2ba-48cc-bb87-1b75db2d9707", |
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"metadata": {}, |
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"outputs": [], |
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"source": [] |
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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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}, |
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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": "3.11.11" |
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"nbformat": 4, |
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