Add gemini samples (#1323)

* Add gemini samples

* remove .vscode folder

* PR comments

* change name of place to get api key

Author: j-windsor

.templates/template_location_v2.json

@@ -186,5 +186,21 @@
     "templateName": "Dataflow Java: Read Pub/Sub Write BigQuery",
     "templateLanguages": ["java"],
     "runPlatforms": ["dataflow"]
+  },
+  {
+    "repoPath": "https://github.com/GoogleCloudPlatform/cloud-code-samples.git",
+    "directoryPath": "nodejs/gemini-api",
+    "templatePath": "gemini-generate",
+    "templateName": "Gemini API Node.js: Generate text content based on a prompt",
+    "templateLanguages": ["nodejs"],
+    "runPlatforms": ["gemini"]
+  },
+  {
+    "repoPath": "https://github.com/GoogleCloudPlatform/cloud-code-samples.git",
+    "directoryPath": "python/gemini-api",
+    "templatePath": "gemini-generate",
+    "templateName": "Gemini API Python: Generate text content based on a prompt",
+    "templateLanguages": ["python"],
+    "runPlatforms": ["gemini"]
   }
 ]

nodejs/gemini-api/README.md

@@ -0,0 +1,56 @@
+<img src="https://avatars2.githubusercontent.com/u/2810941?v=3&s=96" alt="Google Cloud Platform logo" title="Google Cloud Platform" align="right" height="96" width="96"/>
+
+# Simple application to interact with Gemini API
+
+"NodeJS: Gemini API" is a simple sample application that shows you how to interact with Google's Gemini APIs .
+
+## Table of Contents
+
+* [Directory contents](#directory-contents)
+* [Setting up the API Key](#setting-up-the-api-key)
+* [Getting started](#getting-started-with-vs-code)
+* [Sign up for user research](#sign-up-for-user-research)
+
+## Directory contents
+* `launch.json` - config file for later when you deploy your application to Google Cloud 
+* `index.js` - the Node sample application that asks Gemini API to generate content based on a prompt
+* `package.json` - includes the google generative ai dependency
+
+## Setting up the API Key
+Before you can use the Gemini API, you must first obtain an API key. If you don't already have one, create a key with one click in Google AI Studio.
+[Get API](https://makersuite.google.com/app/apikey)
+
+## Getting started with Cloud Code
+
+### Run the application locally 
+
+1. Make sure you have generated the API key as shown above. Please make sure to use and store this key securely. 
+
+1. Install the package using 
+```npm install @google/generative-ai```
+
+1. Run this using 
+```node index.js```
+
+### Documentation 
+1. You can see detailed API Reference for the Gemini APIs [here](https://googledevai.google.com/api) 
+
+1. You can see more samples and things to do [here](https://googledevai.google.com/tutorials/python_quickstart) 
+
+### Other things to try 
+    
+1. If you're new to Google Cloud, [create an account](https://console.cloud.google.com/freetrial/signup/tos) to evaluate how our products perform in real-world scenarios. New customers also get $300 in free credits to run, test, and deploy workloads.
+
+1. Install the Cloud Code [VS Code plugin](https://cloud.google.com/code/docs/vscode/install#installing) or [Jetbrains Extension](https://cloud.google.com/code/docs/intellij/install) if you haven't already.
+
+1. Access Cloud Code [documentation](https://cloud.google.com/code/docs/) to learn how you can deploy your app to Google Cloud 
+
+### Sign up for user research
+
+We want to hear your feedback!
+
+The Cloud Code team is inviting our user community to sign-up to participate in Google User Experience Research. 
+
+If you’re invited to join a study, you may try out a new product or tell us what you think about the products you use every day. At this time, Google is only sending invitations for upcoming remote studies. Once a study is complete, you’ll receive a token of thanks for your participation such as a gift card or some Google swag. 
+
+[Sign up using this link](https://google.qualtrics.com/jfe/form/SV_4Me7SiMewdvVYhL?reserved=1&utm_source=In-product&Q_Language=en&utm_medium=own_prd&utm_campaign=Q1&productTag=clou&campaignDate=January2021&referral_code=UXbT481079) and answer a few questions about yourself, as this will help our research team match you to studies that are a great fit.

nodejs/gemini-api/index.js

@@ -0,0 +1,17 @@
+const { GoogleGenerativeAI } = require("@google/generative-ai");
+
+// Access your API key as an environment variable (see "Set up your API key" above)
+const genAI = new GoogleGenerativeAI(process.env.API_KEY);
+
+async function run() {
+  // For text-only input, use the gemini-pro model
+  const model = genAI.getGenerativeModel({ model: "gemini-pro"});
+
+  const prompt = "Write a story about a magic backpack."
+
+  const result = await model.generateContent(prompt);
+  const text = result.response.text();
+  console.log(text);
+}
+
+run();