From 3fe1d5e81bfbcff75d1fe3730b681ea22d228a5c Mon Sep 17 00:00:00 2001 From: JAL Date: Thu, 13 Mar 2025 01:43:33 +0100 Subject: [PATCH] Added my contributions to community-contributions_W1D2 --- .../Ollama_websummarizer_user_input.ipynb | 240 ++++++++++++++++++ 1 file changed, 240 insertions(+) create mode 100644 week1/community-contributions/Ollama_websummarizer_user_input.ipynb diff --git a/week1/community-contributions/Ollama_websummarizer_user_input.ipynb b/week1/community-contributions/Ollama_websummarizer_user_input.ipynb new file mode 100644 index 0000000..33a07e7 --- /dev/null +++ b/week1/community-contributions/Ollama_websummarizer_user_input.ipynb @@ -0,0 +1,240 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "9964872b-225d-4ced-93e4-fc5b279ec2ed", + "metadata": {}, + "source": [ + "# Webpage English summarizer with user inputs (url, ollama-based LLM) " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4e49d399-d18c-4c91-8abc-cf3289e11e2f", + "metadata": {}, + "outputs": [], + "source": [ + "# imports\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\n", + "import ollama, time\n", + "from tqdm import tqdm" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "46e7d809-248d-41b8-80e1-36b210041581", + "metadata": {}, + "outputs": [], + "source": [ + "# Define system prompt.\n", + "\n", + "system_prompt = \"You are an assistant that analyzes the contents of a website \\\n", + "and provides a detailed summary, ignoring text that might be navigation related. \\\n", + "Respond in markdown, in English.\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e8bf237f-591f-4c32-9415-5d5d4e2522b8", + "metadata": {}, + "outputs": [], + "source": [ + "# A function that writes a User Prompt that asks for summaries of websites:\n", + "\n", + "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 detailed 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": "7d39ee6d-c670-41ba-a0b8-debd55bda8e3", + "metadata": {}, + "outputs": [], + "source": [ + "# See how this function creates exactly the format above\n", + "\n", + "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": "43e28ff5-2def-4a47-acdd-2e06c0666956", + "metadata": {}, + "outputs": [], + "source": [ + "# Constants\n", + "\n", + "OLLAMA_API = \"http://localhost:11434/api/chat\"\n", + "HEADERS = {\"Content-Type\": \"application/json\"}" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "32f4f481-81a3-479d-817b-4e754d9af46d", + "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 = HEADERS\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": "f81cfd17-8208-4192-a59f-485ff3ea74e4", + "metadata": {}, + "outputs": [], + "source": [ + "# And now: call the ollama API wrapper and return the relevant component of the response\n", + "\n", + "def summarize(url):\n", + " website = Website(url)\n", + " response = ollama.chat(\n", + " model=MODEL,\n", + " messages = messages_for(website)\n", + " )\n", + " return response['message']['content']" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7a9eedc6-2183-473d-84ca-b10d40e2a1e6", + "metadata": {}, + "outputs": [], + "source": [ + "# Ask the user the name of the url address\n", + "\n", + "url= str(input(\"\"\"\n", + "Please provide a valid url address:\n", + "https://\"\"\"))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5d012de2-0ef2-43db-9f51-fc7f989c3642", + "metadata": {}, + "outputs": [], + "source": [ + "# Ask the user to select a valid model\n", + "\n", + "MODEL= str(input(\"\"\"\n", + "Please select a LLM:\n", + "(examples: llama3.2, deepseek-r1:1.5b)\n", + "\"\"\"))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1ac8c02e-4a62-448b-a231-8c6f65891811", + "metadata": {}, + "outputs": [], + "source": [ + "# Let's just make sure the model is loaded\n", + "\n", + "!ollama pull {MODEL}" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0544541f-11a8-4eb7-8eb6-bc032ed6d0d1", + "metadata": {}, + "outputs": [], + "source": [ + "print('url: https://{0}\\nModel= {1}'.format(url, MODEL))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "45518950-f2c9-43af-b897-4fe8fe48dfd8", + "metadata": {}, + "outputs": [], + "source": [ + "summary = summarize('https://'+ url)\n", + "for summ in tqdm(summary):\n", + " time.sleep(0.01)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "02c0c15e-216d-47c7-843d-ac27af02820b", + "metadata": {}, + "outputs": [], + "source": [ + "display(Markdown(summary))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "985a3689-5827-4b15-b8d5-276f9b292afd", + "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 +}