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{
"cells": [
{
"cell_type": "code",
"execution_count": 13,
"id": "147ce61d-b10e-478e-8300-2fb3101f617c",
"metadata": {},
"outputs": [],
"source": [
"# imports\n",
"\n",
"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": 14,
"id": "2dab29c1-3a8d-45bc-9f45-407419449ba9",
"metadata": {},
"outputs": [],
"source": [
"import google.generativeai"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "5fb5b749-d84b-4f8c-bfb9-2f5c4e8a2daa",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Google API Key exists and begins AIzaSyDU\n"
]
}
],
"source": [
"load_dotenv()\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 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": 16,
"id": "d34ee171-2647-47cf-9336-2d016480656f",
"metadata": {},
"outputs": [],
"source": [
"google.generativeai.configure()"
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "856212a1-d07a-400b-9cef-a198e22f26ac",
"metadata": {},
"outputs": [],
"source": [
"system_message = \"You are an assistant that is great at telling jokes\"\n",
"user_prompt = \"Tell a light-hearted joke for an audience of Data Scientists\""
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "47289056-cc2b-4d2d-9e18-ecd65c0f3232",
"metadata": {},
"outputs": [],
"source": [
"prompts = [\n",
" {\"role\": \"system\", \"content\": system_message},\n",
" {\"role\": \"user\", \"content\": user_prompt}\n",
" ]"
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "6d331aaf-162b-499e-af7e-5e097e84f1bd",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Why was the Data Scientist sad? \n",
"\n",
"Because they didn't get any arrays!\n",
"\n"
]
}
],
"source": [
"# The API for Gemini has a slightly different structure.\n",
"# I've heard that on some PCs, this Gemini code causes the Kernel to crash.\n",
"# If that happens to you, please skip this cell and use the next cell instead - an alternative approach.\n",
"\n",
"gemini = google.generativeai.GenerativeModel(\n",
" model_name='gemini-1.5-flash',\n",
" system_instruction=system_message\n",
")\n",
"response = gemini.generate_content(user_prompt)\n",
"print(response.text)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "b727ee91-92b8-4d62-9a03-1b85a76b905c",
"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
}