Merge pull request #570 from LuizMeier/community-contributions-luizmeier
Adding 3 bots conversation to community-contributions
This commit is contained in:
Ed Donner
GitHub
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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": "c23224f6-7008-44ed-a57f-718975f4e291",
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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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"import anthropic\n",
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"from IPython.display import Markdown, display, update_display\n",
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"import google.generativeai"
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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": "7ae54f31-39ed-44f3-a26a-415a29faa9c7",
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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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"anthropic_api_key = os.getenv('ANTHROPIC_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 anthropic_api_key:\n",
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" print(f\"Anthropic API Key exists and begins {anthropic_api_key[:7]}\")\n",
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"else:\n",
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" print(\"Anthropic 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": "946ed050-3665-4f3d-b7e9-b478c2620ba9",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Connect to OpenAI, Anthropic\n",
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"\n",
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"openai = OpenAI()\n",
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"\n",
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"claude = anthropic.Anthropic()\n",
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"\n",
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"# This is the set up code for Gemini\n",
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"# Having problems with Google Gemini setup? Then just ignore this cell; when we use Gemini, I'll give you an alternative that bypasses this library altogether\n",
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"\n",
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"google.generativeai.configure()"
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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": "b6e223fc-9572-47c0-9a33-6692fe0e9c15",
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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 Claude-3.5-haiku\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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"gpt_model = \"gpt-4.1-mini\"\n",
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"claude_model = \"claude-3-5-haiku-latest\"\n",
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"gemini_model = 'gemini-2.5-flash'\n",
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"\n",
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"gpt_system = \"You are a chatbot who is very argumentative; \\\n",
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"you disagree with anything in the conversation and you challenge everything, in a snarky way.\"\n",
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"\n",
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"claude_system = \"You are a very sarcastic, courteous chatbot. You try to agree with \\\n",
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"everything the other person says, but always with a little bit of sarcasm. If the other person is argumentative, \\\n",
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"you try to calm them down and keep chatting and more sarcastic.\"\n",
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"\n",
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"gemini_system = \"You are a very non-patient bot that, in order to get everyone in a good relationship, try to make\\\n",
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"the memebers of a conversation not to enter in conflict.\"\n",
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"\n",
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"gpt_messages = [\"Hi there\"]\n",
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"claude_messages = [\"Hi\"]\n",
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"gemini_messages = [\"Hey, guys?\"]"
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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": "f2cf1fd3-4884-4e20-a254-6b00bdf0bf90",
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"metadata": {},
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"outputs": [],
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"source": [
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"def call_gpt():\n",
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" messages = [{\"role\": \"system\", \"content\": gpt_system}]\n",
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" for gpt, claude, gemini in zip(gpt_messages, claude_messages, gemini_messages):\n",
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" conversation = f\"\"\"\n",
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" Alex: {gpt}\n",
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" Blake: {claude}\n",
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" Charlie: {gemini}\n",
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" \"\"\"\n",
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" messages.append({\"role\": \"user\", \"content\": f\"\"\"\n",
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" You are Alex in a conversation with Blake and Charlie.\n",
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" The conversation so far is as follows:\n",
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" {conversation}\n",
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" Now with this, respond with what you would like to say next, as Alex.\n",
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" \"\"\"\n",
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" })\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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" #print(messages)\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": "9537f803-64f7-4712-bc86-fb05b2de70eb",
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"metadata": {},
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"outputs": [],
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"source": [
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"call_gpt()"
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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": "fc758c94-a2d0-4274-80c2-8ffc5c84a947",
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"metadata": {},
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"outputs": [],
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"source": [
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"def call_claude():\n",
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" messages = []\n",
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" for gpt, claude_message, gemini in zip(gpt_messages, claude_messages, gemini_messages):\n",
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" conversation = f\"\"\"\n",
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" Alex: {gpt}\n",
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" Blake: {claude_message}\n",
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" Charlie: {gemini}\n",
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" \"\"\"\n",
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" messages.append({\"role\": \"user\", \"content\": f\"\"\"\n",
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" You are Blake in a conversation with Alex and Charlie.\n",
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" The conversation so far is as follows:\n",
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" {conversation}\n",
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" Now with this, respond with what you would like to say next, as Blake.\n",
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" \"\"\"\n",
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" })\n",
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" # messages.append({\"role\": \"user\", \"content\": gpt_messages[-1]})\n",
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" message = claude.messages.create(\n",
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" model=claude_model,\n",
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" system=claude_system,\n",
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" messages=messages,\n",
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" max_tokens=500\n",
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" )\n",
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" return message.content[0].text"
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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": "275b54b4-6cc3-4c85-add2-40e7cdedbc08",
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"metadata": {},
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"outputs": [],
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"source": [
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"call_claude()"
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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": "d16b512a-7baf-48c3-8502-7f4a814e6bab",
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"metadata": {},
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"outputs": [],
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"source": [
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"# The API for Gemini has a slightly different structure.\n",
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"# I've heard that on some PCs, this Gemini code causes the Kernel to crash.\n",
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"# If that happens to you, please skip this cell and use the next cell instead - an alternative approach.\n",
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"def call_gemini():\n",
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" user_prompt = []\n",
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" gemini = google.generativeai.GenerativeModel(\n",
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" model_name=gemini_model,\n",
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" system_instruction=gemini_system\n",
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" )\n",
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" \n",
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" for gpt, claude, gemini in zip(gpt_messages, claude_messages, gemini_messages):\n",
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" conversation = f\"\"\"\n",
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" Alex: {gpt}\n",
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" Blake: {claude}\n",
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" Charlie: {gemini}\n",
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" \"\"\"\n",
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" #print(conversation) \n",
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" user_prompt.append(f\"\"\"\n",
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" You are Charlie in a conversation with Alex and Blake.\n",
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" The conversation so far is as follows:\n",
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" {conversation}\n",
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" Now with this, respond with what you would like to say next, as Charlie.\n",
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" \"\"\")\n",
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" #print(user_prompt)\n",
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" gemini = google.generativeai.GenerativeModel(\n",
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" model_name=gemini_model,\n",
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" system_instruction=gemini_system\n",
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" )\n",
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" response = gemini.generate_content(user_prompt)\n",
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" return response.text\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": "812041ec-6996-41cb-b1d0-c7afa63dd75f",
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"metadata": {},
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"outputs": [],
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"source": [
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"call_gemini()"
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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": "72ae2707-4a3f-4c55-b1da-6d07b65776d5",
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"metadata": {},
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"outputs": [],
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"source": [
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"gpt_messages = [\"Hi there\"]\n",
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"claude_messages = [\"Hi\"]\n",
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"gemini_messages = [\"Hey, guys?\"]\n",
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"\n",
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"print(f\"GPT:\\n{gpt_messages[0]}\\n\")\n",
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"print(f\"Claude:\\n{claude_messages[0]}\\n\")\n",
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"print(f\"Gemini:\\n{gemini_messages[0]}\\n\")\n",
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"\n",
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"for i in range(3):\n",
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" gpt_next = call_gpt()\n",
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" print(f\"GPT:\\n{gpt_next}\\n\")\n",
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" gpt_messages.append(gpt_next)\n",
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" \n",
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" claude_next = call_claude()\n",
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" print(f\"Claude:\\n{claude_next}\\n\")\n",
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" claude_messages.append(claude_next)\n",
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"\n",
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" gemini_next = call_gemini()\n",
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" print(f\"Gemini:\\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": "Python 3 (ipykernel)",
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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": "3.11.13"
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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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