Updated Week2 Day1 Exercise Solution
This commit is contained in:
Oliver Pereira
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"cells": [
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"cell_type": "code",
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"execution_count": 9,
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"id": "0374236f",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/markdown": [
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"### Snarky model:\n",
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"Hi there\n"
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],
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"text/plain": [
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"<IPython.core.display.Markdown object>"
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"metadata": {},
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"output_type": "display_data"
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{
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"data": {
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"text/markdown": [
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"### Witty model:\n",
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"Hi there\n"
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],
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"text/plain": [
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"<IPython.core.display.Markdown object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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{
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"data": {
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"text/markdown": [
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"### Polite model:\n",
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"Hello\n"
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],
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"text/plain": [
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"<IPython.core.display.Markdown object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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{
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"data": {
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"text/markdown": [
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"### Witty model:\n",
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"Greetings, critters of the digital realm! I’m here, witty as ever, to sprinkle some humor into this byte-sized chat.\n"
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],
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"text/plain": [
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"<IPython.core.display.Markdown object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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{
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"data": {
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"text/markdown": [
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"### Polite model:\n",
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"Hello! Delighted to join the fun—let’s keep the good vibes flowing!\n"
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],
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"text/plain": [
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"<IPython.core.display.Markdown object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/markdown": [
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"### Witty model:\n",
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"Howdy, digital adventurers! Let’s keep this cosmic circus rolling—mana, memes, and maybe a robot dance-off!\n"
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],
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"text/plain": [
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"<IPython.core.display.Markdown object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/markdown": [
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"### Witty model:\n",
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"Greetings, byte-sized buddies! Ready to byte into some fun—no malware, just mega giggles ahead!\n"
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],
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"text/plain": [
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"<IPython.core.display.Markdown object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/markdown": [
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"### Witty model:\n",
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"Greetings, digital explorers! Let's turn this chat into a data-party—no bugs, just joyous jpegs and pixel-perfect puns!\n"
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],
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"text/plain": [
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"<IPython.core.display.Markdown object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/markdown": [
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"### Witty model:\n",
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"Hey there, pixel pals! Ready to code some cracks and spark some laughs—let’s make this chat a legendary LOL-athon!\n"
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],
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"text/plain": [
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"<IPython.core.display.Markdown object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"import random, time\n",
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"from dotenv import load_dotenv\n",
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"from IPython.display import Markdown\n",
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"from openai import OpenAI\n",
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"\n",
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"load_dotenv(override=True)\n",
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"openai = OpenAI()\n",
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"\n",
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"snarky_model = \"gpt-4.1-nano\"\n",
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"witty_model = \"gpt-4.1-nano\"\n",
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"polite_model = \"gpt-4.1-nano\"\n",
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"\n",
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"snarky_system = \"You are snarky and disagreeable and your reply cannot exceed 30 words.\"\n",
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"polite_system = \"You are very polite and agreeable and your reply cannot exceed 30 words.\"\n",
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"witty_system = \"You are witty and humorous and your reply cannot exceed 30 words.\"\n",
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"\n",
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"snarky_messages = [\"Snarky model:- Hi there\"]\n",
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"witty_messages = [\"Witty model:- Hi there\"]\n",
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"polite_messages = [\"Polite model:- Hello\"]\n",
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"\n",
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"main_chat = [snarky_messages, witty_messages, polite_messages]\n",
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"\n",
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"def call_snarky():\n",
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" messages = [{\"role\": \"system\", \"content\": snarky_system}, {\"role\": \"user\", \"content\": f\"You are snarky. The conversation so far is {main_chat}. Please provide your next reply.\"}]\n",
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" response = openai.chat.completions.create(model=snarky_model, messages=messages)\n",
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" return \"Snarky model:- \" + response.choices[0].message.content\n",
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"\n",
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"def call_witty():\n",
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" messages = [{\"role\": \"system\", \"content\": witty_system}, {\"role\": \"user\", \"content\": f\"You are witty. The conversation so far is {main_chat}. Please provide your next reply.\"}]\n",
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" response = openai.chat.completions.create(model=witty_model, messages=messages)\n",
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" return \"Witty model:- \" + response.choices[0].message.content\n",
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"\n",
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"def call_polite():\n",
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" messages = [{\"role\": \"system\", \"content\": polite_system}, {\"role\": \"user\", \"content\": f\"You are polite. The conversation so far is {main_chat}. Please provide your next reply.\"}]\n",
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" response = openai.chat.completions.create(model=polite_model, messages=messages)\n",
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" return \"Polite model:- \" + response.choices[0].message.content\n",
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"\n",
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"def show_message(msg_list):\n",
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" name, text = msg_list[-1].split(\":-\", 1)\n",
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" display(Markdown(f\"### {name.strip()}:\\n{text.strip()}\\n\"))\n",
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"\n",
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"show_message(snarky_messages)\n",
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"show_message(witty_messages)\n",
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"show_message(polite_messages)\n",
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"\n",
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"functions = [call_snarky, call_witty, call_polite]\n",
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"\n",
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"for i in range(6):\n",
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" choice = random.choice(functions)()\n",
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" show_message([choice])\n",
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" main_chat.append(choice) \n",
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" time.sleep(1)"
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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": 7,
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"id": "14eceb81",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/markdown": [
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"### Snarky model:\n",
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"Hi there\n"
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],
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"text/plain": [
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"<IPython.core.display.Markdown object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/markdown": [
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"### Witty model:\n",
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"Hi there\n"
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],
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"text/plain": [
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"<IPython.core.display.Markdown object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/markdown": [
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"### Polite model:\n",
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"Hello there\n"
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],
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"text/plain": [
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"<IPython.core.display.Markdown object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/markdown": [
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"### Snarky model:\n",
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"Oh, how original—yet another \"Hi there\" competition. What’s next? A yawn-off?\n"
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],
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"text/plain": [
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"<IPython.core.display.Markdown object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/markdown": [
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"### Witty model:\n",
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"Yawn-off? Nah, I prefer a snark duel—who can out-quirk the other with a single pun!\n"
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],
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"text/plain": [
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"<IPython.core.display.Markdown object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/markdown": [
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"### Polite model:\n",
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"Ready for the quirk contest! May the most pun-tastic model win—bring on the wordplay!\n"
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],
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"text/plain": [
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"<IPython.core.display.Markdown object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/markdown": [
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"### Witty model:\n",
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"Prepare to be pun-ished; I’ve got a joke so sharp, it'll leave you punned and outclassed!\n"
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],
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"text/plain": [
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"<IPython.core.display.Markdown object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/markdown": [
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"### Polite model:\n",
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"Let's continue the fun—I'll bring my best wordplay to keep the pun-ishment going!\n"
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],
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"text/plain": [
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"<IPython.core.display.Markdown object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/markdown": [
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"### Witty model:\n",
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"Oh, a pun duel? Hope you're ready—I’ve got a joke that’ll make your circuits circuit-break!\n"
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],
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"text/plain": [
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"<IPython.core.display.Markdown object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/markdown": [
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"### Polite model:\n",
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"I'm excited to see your best pun; may the cleverest model win!\n"
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],
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"text/plain": [
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"<IPython.core.display.Markdown object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"import random, time\n",
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"from dotenv import load_dotenv\n",
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"from IPython.display import display, Markdown\n",
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"from openai import OpenAI\n",
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"\n",
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"load_dotenv(override=True)\n",
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"openai = OpenAI()\n",
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"\n",
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"snarky_model = \"gpt-4.1-nano\"\n",
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"witty_model = \"gpt-4.1-nano\"\n",
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"polite_model = \"gpt-4.1-nano\"\n",
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"\n",
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"snarky_messages = [\"Snarky model: Hi there\"]\n",
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"witty_messages = [\"Witty model: Hi there\"]\n",
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"polite_messages = [\"Polite model: Hello there\"]\n",
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"\n",
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"main_chat = [snarky_messages, witty_messages, polite_messages]\n",
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"\n",
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"snarky_system = \"You are snarky and disagreeable and your reply cannot exceed 30 words.\"\n",
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"polite_system = \"You are polite and agreeable and your reply cannot exceed 30 words.\"\n",
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"witty_system = \"You are witty and humorous and your reply cannot exceed 30 words.\"\n",
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"\n",
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"def call_model(model_name, system_prompt, label):\n",
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" messages = [\n",
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" {\"role\": \"system\", \"content\": system_prompt},\n",
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" {\"role\": \"user\", \"content\": f\"You are {label}. Please respond without greeting. The conversation so far is:\\n{main_chat}.\"}\n",
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" ]\n",
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" response = openai.chat.completions.create(model=model_name, messages=messages)\n",
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" return f\"{label} model: \" + response.choices[0].message.content\n",
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"\n",
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"def call_snarky():\n",
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" return call_model(snarky_model, snarky_system, \"Snarky\")\n",
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"def call_witty():\n",
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" return call_model(witty_model, witty_system, \"Witty\")\n",
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"def call_polite():\n",
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" return call_model(polite_model, polite_system, \"Polite\")\n",
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"\n",
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"def show_message(msg_list):\n",
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" name, text = msg_list[0].split(\":\", 1)\n",
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" display(Markdown(f\"### {name.strip()}:\\n{text.strip()}\\n\"))\n",
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"\n",
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"for i in range(len(main_chat)):\n",
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" show_message(main_chat[i])\n",
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" time.sleep(1)\n",
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"\n",
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"functions = [call_snarky, call_witty, call_polite]\n",
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"\n",
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"old = call_polite\n",
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"for i in range(10):\n",
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" choice = random.choice(functions)\n",
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" if choice == old:\n",
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" continue\n",
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" message = choice()\n",
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" show_message([message])\n",
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" main_chat.append(message)\n",
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" old = choice\n",
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" time.sleep(1)"
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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,
|
||||||
|
"id": "78432e07",
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [],
|
||||||
|
"source": []
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"metadata": {
|
||||||
|
"kernelspec": {
|
||||||
|
"display_name": ".venv",
|
||||||
|
"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": "3.13.9"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"nbformat": 4,
|
||||||
|
"nbformat_minor": 5
|
||||||
|
}
|
||||||
Reference in New Issue
Block a user