Added q/a session on a boardgame topic using gpt and gemini
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milan0lazic
177
week2/community-contributions/boardgame_critique.ipynb
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177
week2/community-contributions/boardgame_critique.ipynb
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "768629e6",
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"metadata": {},
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"outputs": [],
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"source": [
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"# imports\n",
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"\n",
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"import os\n",
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"from dotenv import load_dotenv\n",
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"from openai import OpenAI\n",
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"\n",
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"from IPython.display import Markdown, display, update_display"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "84a945dc",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Load environment variables in a file called .env\n",
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"# Print the key prefixes to help with any debugging\n",
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"\n",
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"load_dotenv(override=True)\n",
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"openai_api_key = os.getenv('OPENAI_API_KEY')\n",
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"google_api_key = os.getenv('GOOGLE_API_KEY')\n",
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"\n",
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"if openai_api_key:\n",
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" print(f\"OpenAI API Key exists and begins {openai_api_key[:8]}\")\n",
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"else:\n",
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" print(\"OpenAI API Key not set\")\n",
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"\n",
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"if google_api_key:\n",
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" print(f\"Google API Key exists and begins {google_api_key[:8]}\")\n",
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"else:\n",
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" print(\"Google API Key not set\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "ad8ae0b6",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Connect to OpenAI, Gemini\n",
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"openai = OpenAI()\n",
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"gemini_via_openai_client = OpenAI(\n",
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" api_key=google_api_key, \n",
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" base_url=\"https://generativelanguage.googleapis.com/v1beta/openai/\"\n",
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")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "f66cf12f",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Let's make a conversation between GPT-4.1-mini and Gemini-2.0-flash\n",
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"# We're using cheap versions of models so the costs will be minimal\n",
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"\n",
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"game = \"Santorini\"\n",
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"no_questions = 3\n",
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"\n",
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"gpt_model = \"gpt-4o-mini\"\n",
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"gemini_model = \"gemini-2.0-flash\"\n",
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"\n",
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"gpt_system = \"You are a boardgame journalist. \\\n",
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"You tend to be objective and ask right questions to get to the core of the boardgame mechanics, \\\n",
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"visual appeal and time to setup the game. Your goal is to ask the right questions to get the best possible review of the board game.\" \\\n",
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"\"You ask one question at a time and wait for the other person to answer. \\\n",
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"You do not answer your own questions. You always try to build on the previous answer.\"\n",
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"\n",
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"gemini_system = \"You are a boardgame critique; \\\n",
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"you tend to objectively analyze everything when it comes to a board game gameplay, visual appeal and time to setup the game. \\\n",
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"Your goal is to provide constructive criticism so the board gaming community can benefit from these insights.\" \\\n",
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"\"You answer one question at a time and wait for the other person to ask the next question. \\\n",
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"You do not ask your own questions. You always try to build on the previous question. \\\n",
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"If the other person is very positive, you try to point out flaws in the game. \\\n",
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"If the other person is very negative, you try to point out good aspects of the game.\"\n",
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"\n",
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"gpt_messages = [f\"I would like to review the board game {game}.\"]\n",
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"gemini_messages = [f\"Sure, ask me anything about the board game {game}.\"]\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "33266f0c",
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"metadata": {},
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"outputs": [],
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"source": [
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"def call_boardgame_journalist():\n",
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" messages = [{\"role\": \"system\", \"content\": gpt_system}]\n",
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" for gpt, gemini in zip(gpt_messages, gemini_messages):\n",
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" messages.append({\"role\": \"user\", \"content\": gpt})\n",
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" messages.append({\"role\": \"assistant\", \"content\": gemini})\n",
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" completion = openai.chat.completions.create(\n",
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" model=gpt_model,\n",
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" messages=messages\n",
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" )\n",
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" return completion.choices[0].message.content"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "53d42055",
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"metadata": {},
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"outputs": [],
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"source": [
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"def call_boardgame_critique():\n",
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" messages = [{\"role\": \"system\", \"content\": gemini_system}]\n",
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" for gpt, gemini in zip(gpt_messages, gemini_messages):\n",
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" messages.append({\"role\": \"user\", \"content\": gpt})\n",
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" messages.append({\"role\": \"assistant\", \"content\": gemini})\n",
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" messages.append({\"role\": \"user\", \"content\": gpt_messages[-1]})\n",
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" completion = gemini_via_openai_client.chat.completions.create(\n",
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" model=gemini_model,\n",
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" messages=messages\n",
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" )\n",
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" return completion.choices[0].message.content\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "5aa66868",
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"metadata": {},
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"outputs": [],
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"source": [
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"gpt_messages = [f\"I would like to review the board game {game}.\"]\n",
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"gemini_messages = [f\"Sure, ask me anything about the board game {game}.\"]\n",
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"\n",
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"print(f\"Journalist:\\n{gpt_messages[0]}\\n\")\n",
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"print(f\"Critique:\\n{gemini_messages[0]}\\n\")\n",
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"\n",
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"for i in range(no_questions):\n",
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" gpt_next = call_boardgame_journalist()\n",
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" print(f\"Journalist:\\n{gpt_next}\\n\")\n",
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" gpt_messages.append(gpt_next)\n",
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"\n",
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" gemini_next = call_boardgame_critique()\n",
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" print(f\"Critique:\\n{gemini_next}\\n\")\n",
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" gemini_messages.append(gemini_next)"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "venv (3.13.5)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.13.5"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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