Add week1 exercise notebook

community-contributions/week1exercise.ipynb

@@ -0,0 +1,145 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ad99050c-a87b-42c1-bea1-47974cac8954",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!pip install openai"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "751d62eb-afe2-493c-a9ae-34ec7f869505",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# imports\n",
+    "import os\n",
+    "import requests\n",
+    "import json\n",
+    "from typing import List\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"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "fbaec3e1-83e9-44d5-8f01-a1a2b9c51878",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "MODEL_GPT = 'gpt-4o-mini'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "3a64962e-fda3-4f9a-92f9-3bfe36b8c94d",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Good\n"
+     ]
+    }
+   ],
+   "source": [
+    "# set up environment\n",
+    "load_dotenv(override = True)\n",
+    "api_key = os.getenv('OPENAI_API_KEY')\n",
+    "if api_key:\n",
+    "    print(\"Good\")\n",
+    "else:\n",
+    "    print(\"Key not found\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "26bf790a-5102-4cf0-95f1-7c156851e9a4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# here is the question; type over this to ask something new\n",
+    "client = OpenAI(api_key=api_key) \n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "b4ebb672-b798-4303-86a4-750afc857344",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# system prompt\n",
+    "system_prompt = \"\"\"\n",
+    "You are a technical tutor who explains programming and computer science concepts clearly and step by step. \n",
+    "When a user asks a technical question, break it down into simple parts, use examples where helpful, \n",
+    "and avoid giving just the final answer. Your goal is to help the user understand, not just memorize.\"\"\"\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e481f239-5b46-4da8-81ac-56a7d0c38333",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Get gpt-4o-mini to answer\n",
+    "def answer_question(question):\n",
+    "    response = client.chat.completions.create(\n",
+    "        model = MODEL_GPT,\n",
+    "        messages = [\n",
+    "            {\"role\": \"system\", \"content\": system_prompt},\n",
+    "            {\"role\": \"user\", \"content\": question}\n",
+    "        ]\n",
+    "    )\n",
+    "    answer = response.choices[0].message.content\n",
+    "    display(Markdown(answer))\n",
+    "    \n",
+    "\n",
+    "question = input(\"Enter the technical question: \")\n",
+    "answer_question(question)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "aca86800-3dbb-42c7-825c-d474100f77d9",
+   "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": "3.13.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}