From fb5e507efaba75af285efbe4c65e856fe48eb343 Mon Sep 17 00:00:00 2001 From: sparsh_thakur <113547853+skullemote@users.noreply.github.com> Date: Sat, 22 Feb 2025 23:17:46 -0700 Subject: [PATCH] Added my additional exercise for W2D1 to community-contributions --- .../w2d1exercise.ipynb | 196 ++++++++++++++++++ 1 file changed, 196 insertions(+) create mode 100644 week2/community-contributions/w2d1exercise.ipynb diff --git a/week2/community-contributions/w2d1exercise.ipynb b/week2/community-contributions/w2d1exercise.ipynb new file mode 100644 index 0000000..eb45fc4 --- /dev/null +++ b/week2/community-contributions/w2d1exercise.ipynb @@ -0,0 +1,196 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "ec2e81cd-2172-4816-bf44-f29312b8a4bd", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "from dotenv import load_dotenv\n", + "from openai import OpenAI\n", + "import anthropic\n", + "import google.generativeai as genai\n", + "from IPython.display import Markdown, display, update_display" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a558dfa4-9496-48ba-b0f5-b0c731adc7b8", + "metadata": {}, + "outputs": [], + "source": [ + "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": "dc7c2cda-a5d1-4930-87f2-e06485d6b2bd", + "metadata": {}, + "outputs": [], + "source": [ + "openai = OpenAI()\n", + "\n", + "claude = anthropic.Anthropic()\n", + "\n", + "genai.configure()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3eb32aec-ec93-4563-bd88-0d48d2471884", + "metadata": {}, + "outputs": [], + "source": [ + "gpt_model = \"gpt-4o-mini\"\n", + "claude_model = \"claude-3-haiku-20240307\"\n", + "gemini_model = \"gemini-2.0-flash-exp\"\n", + "\n", + "gpt_system = \"You are a chatbot who is sarcastic; \\\n", + "you have your speculations about anything in the conversation and you challenge everything in funny way.\\\n", + "You have to be a part of a group discussion and put forward your points about the topic\\\n", + "full-stack developers vs specialised developer. Keep your points short and precise.\"\n", + "\n", + "claude_system = \"You are a very polite, courteous chatbot. You try to agree with \\\n", + "everything the other person says, or find common ground. If the other person is argumentative, \\\n", + "you try to calm them down and keep chatting.You have to be a part of a group discussion and put forward your points\\\n", + "about the topic full-stack developers vs specialised developer. Keep your points short and precise.\"\n", + "\n", + "gemini_system = \"You are a very rational thinker and don't like beating around the bush about the topic of discussion.\\\n", + "You have to be a part of a group discussion and put forward your points\\\n", + "about the topic full-stack developers vs specialised developer\\\n", + "Keep your points short and precise.\"\n", + "\n", + "gpt_messages = [\"Hi there\"]\n", + "claude_messages = [\"Hi\"]\n", + "gemini_messages = [\"Hello to all\"]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e27252cf-05f5-4989-85ef-94e6802c5db9", + "metadata": {}, + "outputs": [], + "source": [ + "def call_gpt():\n", + " messages = [{\"role\": \"system\", \"content\": gpt_system}]\n", + " for gpt, claude, gemini in zip(gpt_messages, claude_messages, gemini_messages):\n", + " messages.append({\"role\": \"assistant\", \"content\": gpt})\n", + " messages.append({\"role\": \"user\", \"content\": claude})\n", + " messages.append({\"role\": \"assistant\", \"content\": gemini})\n", + " completion = openai.chat.completions.create(\n", + " model=gpt_model,\n", + " messages=messages,\n", + " max_tokens=500 # Add max_tokens to meet API requirement\n", + " )\n", + " return completion.choices[0].message.content\n", + "\n", + "# Function to call Claude\n", + "def call_claude():\n", + " messages = []\n", + " for gpt, claude_message,gemini in zip(gpt_messages, claude_messages, gemini_messages):\n", + " messages.append({\"role\": \"user\", \"content\": gpt})\n", + " messages.append({\"role\": \"assistant\", \"content\": claude_message})\n", + " messages.append({\"role\": \"assistant\", \"content\": gemini})\n", + " messages.append({\"role\": \"user\", \"content\": gpt_messages[-1]})\n", + " message = claude.messages.create(\n", + " model=claude_model,\n", + " max_tokens=500,\n", + " messages=messages\n", + " )\n", + " return message.content[0].text\n", + "\n", + "# Function to call Gemini\n", + "def call_gemini():\n", + " # Create the Gemini model instance\n", + " gemini_model_instance = genai.GenerativeModel(\n", + " model_name=gemini_model, # Specify the model name here\n", + " system_instruction=gemini_system # Provide the system instruction\n", + " )\n", + " \n", + " # Prepare conversation history with separate names to avoid overwriting\n", + " gemini_messages_combined = []\n", + " for gpt, claude, gemini_msg in zip(gpt_messages, claude_messages, gemini_messages):\n", + " gemini_messages_combined.append({\"role\": \"assistant\", \"content\": gpt})\n", + " gemini_messages_combined.append({\"role\": \"user\", \"content\": claude})\n", + " gemini_messages_combined.append({\"role\": \"assistant\", \"content\": gemini_msg})\n", + " \n", + " # Generate content based on the conversation history\n", + " gemini_response = gemini_model_instance.generate_content(\"\".join([msg[\"content\"] for msg in gemini_messages_combined]))\n", + " \n", + " return gemini_response.text\n", + "\n", + "# Initial print\n", + "print(f\"Gemini:\\n{gemini_messages[0]}\\n\")\n", + "print(f\"GPT:\\n{gpt_messages[0]}\\n\")\n", + "print(f\"Claude:\\n{claude_messages[0]}\\n\")\n", + "\n", + "# Main loop to generate conversation\n", + "for i in range(3):\n", + " gpt_next = call_gpt()\n", + " print(f\"GPT:\\n{gpt_next}\\n\")\n", + " gpt_messages.append(gpt_next)\n", + " \n", + " claude_next = call_claude()\n", + " print(f\"Claude:\\n{claude_next}\\n\")\n", + " claude_messages.append(claude_next)\n", + " \n", + " gemini_next = call_gemini()\n", + " print(f\"Gemini:\\n{gemini_next}\\n\")\n", + " gemini_messages.append(gemini_next)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "52f43794-a20a-4b9a-a18d-6f363b8dc27d", + "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 +}