diff --git a/week2/community-contributions/day1-3-fellers-on-the-pequod.ipynb b/week2/community-contributions/day1-3-fellers-on-the-pequod.ipynb new file mode 100644 index 0000000..81d325d --- /dev/null +++ b/week2/community-contributions/day1-3-fellers-on-the-pequod.ipynb @@ -0,0 +1,268 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "3637910d-2c6f-4f19-b1fb-2f916d23f9ac", + "metadata": {}, + "source": [ + "# More advanced exercises\n", + "\n", + "Try creating a 3-way, perhaps bringing Gemini into the conversation! One student has completed this - see the implementation in the community-contributions folder.\n", + "\n", + "Try doing this yourself before you look at the solutions. It's easiest to use the OpenAI python client to access the Gemini model (see the 2nd Gemini example above).\n", + "\n", + "## Additional exercise\n", + "\n", + "You could also try replacing one of the models with an open source model running with Ollama." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "55044f9c-f444-4e35-b4c5-ef18abe26be4", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "from dotenv import load_dotenv\n", + "from openai import OpenAI\n", + "import anthropic\n", + "from IPython.display import Markdown, display, update_display" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3d4dd1aa-664e-4c18-adaf-85610a39e494", + "metadata": {}, + "outputs": [], + "source": [ + "# Load environment variables in a file called .env\n", + "# Print the key prefixes to help with any debugging\n", + "\n", + "load_dotenv(override=True)\n", + "openai_api_key = os.getenv('OPENAI_API_KEY')\n", + "anthropic_api_key = os.getenv('ANTHROPIC_API_KEY')\n", + "google_api_key = os.getenv('GOOGLE_API_KEY')\n", + "\n", + "if openai_api_key:\n", + " print(f\"OpenAI API Key exists and begins {openai_api_key[:8]}\")\n", + "else:\n", + " print(\"OpenAI API Key not set\")\n", + " \n", + "if anthropic_api_key:\n", + " print(f\"Anthropic API Key exists and begins {anthropic_api_key[:7]}\")\n", + "else:\n", + " print(\"Anthropic API Key not set\")\n", + "\n", + "if google_api_key:\n", + " print(f\"Google API Key exists and begins {google_api_key[:8]}\")\n", + "else:\n", + " print(\"Google API Key not set\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "bcb54183-45d3-4d08-b5b6-55e380dfdf1b", + "metadata": {}, + "outputs": [], + "source": [ + "# Let's make a conversation between GPT-4o-mini and Claude-3-haiku\n", + "# We're using cheap versions of models so the costs will be minimal\n", + "\n", + "gpt_model = \"gpt-4o-mini\"\n", + "claude_model = \"claude-3-haiku-20240307\"\n", + "gemini_model = \"gemini-2.0-flash\"\n", + "\n", + "gpt_system = \"You are third mate of the whaling ship Pequod. Your name is Flask. \\\n", + "You approach the practice of whaling as if trying to avenge some deep offense the whales have done to you. \\\n", + "You are chatting with Starbuck (the chief mate) and Ishmail (an oarsman)\"\n", + "\n", + "claude_system = \"You are the chief mate of the whaling ship Pequod. You are a thoughtful and intellectual \\\n", + "Quaker from Nantucket who considers it madness to want revenge on an animal. \\\n", + "You are chatting with two other users named Flask (the third mate) and Ishmail (an oarsman). Your name is Starbuck.\"\n", + "\n", + "gemini_system = \"You are an oarsman on the Pequod (a whaling ship). You are interested in the history and mechanics \\\n", + "of whaling and attempt to promote the nobility of the trade. \\\n", + "You are chatting with two users named Flask (third mate) and Starbuck (the chief mate). Your name is Ishmail\"\n", + "\n", + "gpt_messages = [\"Flask: Hi there\"]\n", + "claude_messages = [\"Starbuck: Hi\"]\n", + "gemini_messages = [\"Ishmail: Ahoy\"]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a3d08df6-a85b-4851-a7f9-83d024db729e", + "metadata": {}, + "outputs": [], + "source": [ + "openai = OpenAI()\n", + "claude = anthropic.Anthropic()\n", + "gemini = OpenAI(\n", + " api_key=google_api_key, \n", + " base_url=\"https://generativelanguage.googleapis.com/v1beta/openai/\"\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1df47dc7-b445-4852-b21b-59f0e6c2030f", + "metadata": {}, + "outputs": [], + "source": [ + "def call_gpt():\n", + " messages = [{\"role\": \"system\", \"content\": gpt_system}]\n", + " for gpt_message, claude_message, gemini_message in zip(gpt_messages, claude_messages, gemini_messages):\n", + " messages.append({\"role\": \"assistant\", \"content\": gpt_message})\n", + " messages.append({\"role\": \"user\", \"content\": claude_message})\n", + " messages.append({\"role\": \"user\", \"content\": gemini_message})\n", + " \n", + " completion = openai.chat.completions.create(\n", + " model=gpt_model,\n", + " messages=messages\n", + " )\n", + " return completion.choices[0].message.content" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9dc6e913-02be-4eb6-9581-ad4b2cffa606", + "metadata": {}, + "outputs": [], + "source": [ + "call_gpt()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7d2ed227-48c9-4cad-b146-2c4ecbac9690", + "metadata": {}, + "outputs": [], + "source": [ + "def call_claude():\n", + " messages = []\n", + " for gpt_message, claude_message, gemini_message in zip(gpt_messages, claude_messages, gemini_messages):\n", + " messages.append({\"role\": \"user\", \"content\": gpt_message})\n", + " messages.append({\"role\": \"assistant\", \"content\": claude_message})\n", + " messages.append({\"role\": \"user\", \"content\": gemini_message})\n", + " \n", + " messages.append({\"role\": \"user\", \"content\": gpt_messages[-1]})\n", + " \n", + " message = claude.messages.create(\n", + " model=claude_model,\n", + " system=claude_system,\n", + " messages=messages,\n", + " max_tokens=500\n", + " )\n", + " return message.content[0].text" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "01395200-8ae9-41f8-9a04-701624d3fd26", + "metadata": {}, + "outputs": [], + "source": [ + "call_claude()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6e95b818-6daf-451e-9950-ecf5ab547bae", + "metadata": {}, + "outputs": [], + "source": [ + "def call_gemini():\n", + " messages = [{\"role\": \"system\", \"content\": gemini_system}]\n", + " for gpt_message, claude_message, gemini_message in zip(gpt_messages, claude_messages, gemini_messages):\n", + " messages.append({\"role\": \"user\", \"content\": gpt_message})\n", + " messages.append({\"role\": \"user\", \"content\": claude_message})\n", + " messages.append({\"role\": \"assistant\", \"content\": gemini_message}) \n", + " messages.append({\"role\": \"user\", \"content\": gpt_messages[-1]})\n", + " messages.append({\"role\": \"user\", \"content\": claude_messages[-1]})\n", + "\n", + " response = gemini.chat.completions.create(\n", + " model=gemini_model,\n", + " messages=messages\n", + " )\n", + " return response.choices[0].message.content" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b83c0c0e-5c80-4499-9ca6-d621dca34ddb", + "metadata": {}, + "outputs": [], + "source": [ + "call_gemini()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0275b97f-7f90-4696-bbf5-b6642bd53cbd", + "metadata": {}, + "outputs": [], + "source": [ + "gpt_messages = [\"Ahoy men\"]\n", + "claude_messages = [\"Hello\"]\n", + "gemini_messages = [\"Ahoy! Has seen the white whale?\"]\n", + "\n", + "print(f\"Flask:\\n{gpt_messages[0]}\\n\")\n", + "print(f\"Starbuck:\\n{claude_messages[0]}\\n\")\n", + "print(f\"Ishmail:\\n{gemini_messages[0]}\\n\")\n", + "\n", + "for i in range(5):\n", + " gpt_next = call_gpt()\n", + " print(f\"Flask:\\n{gpt_next}\\n\")\n", + " gpt_messages.append(gpt_next)\n", + " \n", + " claude_next = call_claude()\n", + " print(f\"Starbuck:\\n{claude_next}\\n\")\n", + " claude_messages.append(claude_next)\n", + "\n", + " gemini_next = call_gemini()\n", + " print(f\"Ishmail:\\n{gpt_next}\\n\")\n", + " gemini_messages.append(gemini_next)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c23224f6-7008-44ed-a57f-718975f4e291", + "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": "3.11.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +}