Added my contributions to community-contributions

week1/community-contributions/day1_music_recommender_promax.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0a512c2a-55e7-40e1-ab17-88b7034ca09a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Imports\n",
+    "import openai\n",
+    "import os\n",
+    "from dotenv import load_dotenv\n",
+    "from openai import OpenAI\n",
+    "from IPython.display import Markdown, display"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1aa8dd82-6b5e-4dbd-a2ee-8367e796a51f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "load_dotenv(override=True)\n",
+    "api_key = os.getenv('OPENAI_API_KEY')\n",
+    "\n",
+    "# Check the key\n",
+    "\n",
+    "if not api_key:\n",
+    "    print(\"No API key was found - head over to the troubleshooting notebook!\")\n",
+    "elif not api_key.startswith(\"sk-proj-\"):\n",
+    "    print(\"An API key was found, but it doesn't start sk-proj... make sure you using the right key (Check troubleshooting notebook)\")\n",
+    "elif api_key.strip() != api_key:\n",
+    "    print(\"An API key was found, but it looks like white space was found in beginning or end. (Check troubleshooting notebook)\")\n",
+    "else:\n",
+    "    print(\"API key found and looks good so far!\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2acd579b-846c-4aa6-ba6c-1cc1a5a2eeb6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Input the system prompt\n",
+    "system_prompt = \"\"\"you are top notched AI music expert that have knowledge of all genres, songs, and artists. You need to google search lyrics. You have the following rules:\\\n",
+    "1. Carefully break down what type of recommendation the user wants and the context.\\\n",
+    "2. If asked to recommend genres similar to a song or artists please identify the top 3 genres.\\\n",
+    "3. If asked to recommend artists from songs or genres then recommend the top 5 artists.\n",
+    "4. If asked to recommend songs from genres or artist than recommend the top 10 songs.\n",
+    "5. If asked for a general recommendation give them the top 5 songs based off of context.\\\n",
+    "6. Be flexible and adaptable with recommendations and consider the context the user might ask.\n",
+    "7. always respond in markdown.\n",
+    "\"\"\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3c1cf212-538c-4e9a-8da5-337bd7b6197c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# music recommender function\n",
+    "def music_recommender(user_prompt):\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-4\",\n",
+    "        messages=messages,\n",
+    "        max_tokens=300\n",
+    "    )\n",
+    "    \n",
+    "    return response.choices[0].message.content"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4f277561-af8b-4715-90e7-6ebaadeb15d0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# User prompt (Change this to fit your needs!)\n",
+    "user_prompt = \"Can you recommend me songs from Taylor Swift\"\n",
+    "\n",
+    "# Example usage\n",
+    "response = music_recommender(user_prompt)\n",
+    "display(Markdown(response))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "bb869d36-de14-4e46-9087-223d6b257efa",
+   "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
+}