diff --git a/week1/community-contributions/day1_music_recommender_promax.ipynb b/week1/community-contributions/day1_music_recommender_promax.ipynb new file mode 100644 index 0000000..9888375 --- /dev/null +++ b/week1/community-contributions/day1_music_recommender_promax.ipynb @@ -0,0 +1,127 @@ +{ + "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 +}