Added my contributions to community-contributions

week1/week1 EXERCISE.ipynb

@@ -19,9 +19,8 @@
    "outputs": [],
    "source": [
     "# imports\n",
-    "import os, re, requests, json, ollama\n",
+    "\n",
-    "from typing import List\n",
+    "import re, requests, ollama\n",
-    "from dotenv import load_dotenv\n",
     "from bs4 import BeautifulSoup\n",
     "from IPython.display import Markdown, display, update_display\n",
     "from openai import OpenAI"
@@ -84,6 +83,12 @@
     "# yield from {book.get(\"author\") for book in books if book.get(\"author\")}\n",
     "# \"\"\"\n",
     "\n",
+    "# question = \"\"\"\n",
+    "# Please explain what this code does and why:\n",
+    "# yield from {book.get(\"author\") for book in books if book.get(\"author\")}\n",
+    "# Popular dev site https://projecteuler.net/\n",
+    "# \"\"\"\n",
+    "\n",
     "question = \"\"\"\n",
     "How good at Software Development is Elijah Rwothoromo? \\\n",
     "He has a Wordpress site https://rwothoromo.wordpress.com/. \\\n",
@@ -103,6 +108,9 @@
     "\n",
     "# Extract all URLs from the question string using regular expressions\n",
     "urls = re.findall(r'https?://[^\\s)]+', question)\n",
+    "# print(urls)\n",
+    "\n",
+    "if len(urls) > 0:\n",
     "    \n",
     "    # Fetch the content for each URL using the Website class\n",
     "    scraped_content = []\n",
@@ -120,7 +128,7 @@
     "    all_scraped_text = \"\\n\".join(scraped_content)\n",
     "    \n",
     "    # Update the question with the scraped content\n",
-    "augmented_question = f\"\"\"\n",
+    "    updated_question = f\"\"\"\n",
     "    Based on the following information, please answer the user's original question.\n",
     "    \n",
     "    --- TEXT FROM WEBSITES ---\n",
@@ -130,16 +138,20 @@
     "    --- ORIGINAL QUESTION ---\n",
     "    {question}\n",
     "    \"\"\"\n",
+    "else:\n",
+    "    updated_question = question\n",
+    "\n",
+    "# print(updated_question)\n",
     "\n",
     "# system prompt to be more accurate for AI to just analyze the provided text.\n",
     "system_prompt = \"You are an expert assistant. \\\n",
     "Analyze the user's question and the provided text from relevant websites to synthesize a comprehensive answer in markdown format.\\\n",
-    "Provides a short summary, ignoring text that might be navigation-related.\"\n",
+    "Provide a short summary, ignoring text that might be navigation-related.\"\n",
     "\n",
-    "# Create the messages list with the new augmented prompt\n",
+    "# Create the messages list with the newly updated prompt\n",
     "messages = [\n",
     "    {\"role\": \"system\", \"content\": system_prompt},\n",
-    "    {\"role\": \"user\", \"content\": augmented_question},\n",
+    "    {\"role\": \"user\", \"content\": updated_question},\n",
     "]\n"
    ]
   },
@@ -153,8 +165,6 @@
     "# Get gpt-4o-mini to answer, with streaming\n",
     "\n",
     "def get_gpt_response(question):\n",
-    "    # return response.choices[0].message.content\n",
-    "\n",
     "    stream = openai.chat.completions.create(\n",
     "        model=MODEL_GPT,\n",
     "        messages=messages,\n",
@@ -179,6 +189,7 @@
    "outputs": [],
    "source": [
     "# Get Llama 3.2 to answer\n",
+    "\n",
     "def get_llama_response(question):\n",
     "    response = ollama.chat(\n",
     "        model=MODEL_LLAMA,\n",