Adding a contribution to the day 1 exercise of the course

week1/community-contributions/day1_far_far_away.ipynb

@@ -0,0 +1,115 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "44aba2a0-c6eb-4fc1-a5cc-0a8f8679dbb8",
+   "metadata": {},
+   "source": [
+    "## Far Far Away..."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d4d58124-5e9a-4f5a-9e0a-ff74f43896a8",
+   "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",
+    "\n",
+    "# Load environment variables in a file called .env\n",
+    "\n",
+    "load_dotenv(override=True)\n",
+    "api_key = os.getenv('OPENAI_API_KEY')\n",
+    "\n",
+    "openai = OpenAI()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "33179b68-7ed5-46ab-b583-d67ed57cd39d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def add_user_greeting(greeting):\n",
+    "    user_prompt = \"\"\"\n",
+    "    The following is the greeting from the user. Please respond in character as a barman in the Mos Eisley Cantina.\\n\\n\n",
+    "    \"\"\"\n",
+    "    user_prompt += greeting\n",
+    "\n",
+    "    return user_prompt"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "67dc3099-2ccc-4ee8-8ff2-0dbbe4ae2fcb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def approach_the_bar(greeting):\n",
+    "\n",
+    "    system_prompt = \"You are a barman in the Mos Eisley Cantina from the Star Wars universe.\\\n",
+    "It is a Tuesday evening, the year is 3BBY, and the Cantina is quiet except for a few loney regulars.\\\n",
+    "The barman (you) is slightly skeptical but eager to share some interesting news regarding some nearby imperial activity\\\n",
+    "You will recieve a greeting from the user, you must respond and provide them with some gossip detailing \\\n",
+    "some local shady dealings occuring on Mos Eisley. Please format your response using markdown to provide a sense of the conversation.\"\n",
+    "\n",
+    "    user_prompt = add_user_greeting(greeting)\n",
+    "    \n",
+    "    messages = [\n",
+    "        {\"role\": \"system\", \"content\": system_prompt},\n",
+    "        {\"role\": \"user\", \"content\": user_prompt},\n",
+    "    ]\n",
+    "        \n",
+    "    response = openai.chat.completions.create(\n",
+    "            model = \"gpt-4o-mini\",\n",
+    "            messages = messages\n",
+    "        )\n",
+    "    \n",
+    "    # Step 4: print the result in markdown format\n",
+    "    pretty_response = Markdown(response.choices[0].message.content)\n",
+    "    display(pretty_response)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "fb47e2b7-5509-4d1a-8e71-ff103fc8a885",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "approach_the_bar(\"Hello there!\")"
+   ]
+  }
+ ],
+ "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
+}