Quickstart: Build & deploy a full-stack AI app 

Hello, and welcome to Gadget!

In this quickstart you will build an app that creates and displays custom Gadgémon (Gadget Monsters). Custom sprites for your Gadgémon will be generated using OpenAI's DALL-E API and Gadget's built-in OpenAI connection.

What you'll learn 

After you have finished this quickstart, you will have accomplished the following:

Want to skip to the end? Fork the completed app to try it out and browse the code.

To view your live Development app:

  1. Click on your app domain in the top left corner of the Gadget app editor
  2. Hover over Go to app
  3. Click Development
Fork on Gadget

Step 1: Create a new Gadget app 

Every Gadget app includes a hosted Postgres database, a serverless Node backend, and a Vite + React frontend.

  1. Start by creating a new Gadget app at https://gadget.new
  2. Select the AI app template and enter your app's domain name
  3. Click Get started
A screenshot of the template prompt when creating a new Gadget app, with the AI app template selected

Step 2: Build your model 

Models in Gadget are similar to tables in a database. They are the building blocks of your app. Models have one or more fields. You can think of fields as columns in a database table. You can create as many models and fields as you need to build your app.

You are going to create a model to store your Gadgémon data, which includes fields to store name, type, what the Gadgémon looks similar to, and an image.

  1. Click the + button in the Data Models section of the toolbar to create a new model
  2. Rename your model's API identifier to gadgemon

When you create a new model, you get some default fields for your model's records:

  • id: stores the unique ids for records, or rows, in your model
  • createdAt and updatedAt: timestamps that store the time when a record was created and last updated

You can also add custom fields to your models:

  1. Click the + button in the Fields section of the model page to create a new field
  2. Rename your field's API identifier name

This string field will be used to store your Gadgémon's name. Now you can add additional fields to your model:

  1. Add another new string field with an API identifier of similar
  2. Add a new field with an API identifier of type
  3. Change your type field's Type or Relationship to enum
  4. Use the + Add Option button to add 3 options to your enum: grass, fire, and water
  1. Add a new field with an API identifier of sprite
  2. Change your sprite field's Type or Relationship to file

These fields will be used to store "type" info as well as a sprite image file that will be generated for your Gadgémon.

Your model should now look like this:

A screenshot of the gadgemon model, with name, similar, type, and sprite fields

That's it for building your Gadgémon model! Changes to your Gadget apps are automatically saved as you build, so you can move on to the next step.

Step 3: Add custom code to an action 

Now that you have added fields to your Gadgémon model, you need to be able to create new records. Records in Gadget are just rows in a database table.

As you build models in Gadget, a CRUD (create, read, update, delete) API is automatically generated. You can see these actions and the code that powers them in the Actions section of the model page.

You will want to run some custom code when you create a new Gadgémon that makes a request to OpenAI's images API to generate a sprite.

OpenAI credentials

The Gadget AI app template comes with an OpenAI connection set up with Gadget-managed credentials. This means you can test out the OpenAI API in your app without having to create an account or manage your own API keys. For more information, see the OpenAI connection docs.

  1. Click on the create action in the Actions section of the gadgemon model page

A JavaScript file, gadgemon/create.js is already created for you. Now you just need to add some custom code.

  1. Paste the following code into gadgemon/create.js (replace the entire file):
gadgemon/create.js
js
1import { applyParams, save, ActionOptions, CreateGadgemonActionContext } from "gadget-server";
2
3/**
4 * @param { CreateGadgemonActionContext } context
5 */
6export async function run({ params, record, logger, api }) {
7 applyParams(params, record);
8 await save(record);
9}
10
11/**
12 * @param { CreateGadgemonActionContext } context
13 */
14export async function onSuccess({ params, record, logger, api, connections }) {
15 // "record" is the newly created Gadgemon, with name, similar and type fields that will be added by the user
16 const { id, name, similar, type } = record;
17
18 // prompt sent to OpenAI to generate the Gadgemon sprite
19 const prompt = `A pixel art style pokemon sprite named ${name} that looks similar to a ${similar} that is a ${type} type. Do not include any text, including the name, in the image`;
20
21 // call the OpenAI images generate (DALL-E) API: https://github.com/openai/openai-node/blob/v4/src/resources/images.ts
22 const response = await connections.openai.images.generate({
23 prompt,
24 n: 1,
25 size: "256x256",
26 response_format: "url",
27 });
28
29 const imageUrl = response.data[0].url;
30
31 // write to the Gadget Logs
32 logger.info({ imageUrl }, `Generated image URL for Gadgemon id ${id}`);
33
34 // save the image file to the newly created Gadgémon record
35 await api.gadgemon.update(id, {
36 gadgemon: {
37 sprite: {
38 copyURL: imageUrl,
39 },
40 },
41 });
42}
43
44/** @type { ActionOptions } */
45export const options = {
46 actionType: "create",
47};

This code block has two built-in functions:

  • the run function is the first thing that executes when the create action is called. It takes the params from the action call and applies them to the record that is being created, then saves that record to the database.
  • the onSuccess function is called after the run function and is good to use for long-running or secondary effects, like image generation using OpenAI.

The custom code added to onSuccess does three things:

  • it uses the OpenAI connection to make a request and returns a new image for your Gadgémon
  • it writes a log message to the Gadget Logs
  • it saves the image file to the newly created Gadgémon record

The api from the function's parameters is used to update this record with a generated sprite image. The api object gives you full access to your Gadget app's API.

copyURL is a special command used to store files in your Gadget database from a URL. See the storing files documentation to learn more about storing files in Gadget.

Test your action with the API Playground 

Gadget comes with a built-in API Playground where you can test out your backend API. You can use the API Playground to test out your Gadgémon models' create action.

  1. On the Gadgémon model's page, click the create action, then the Run Action button - the API Playground will open with the create mutation pre-loaded
  2. Enter some values for your Gadgémon's name, similar, and type fields in the Variables section of the Playground
json
1{
2 "gadgemon": {
3 "name": "Gadgetbot",
4 "similar": "robot",
5 "type": "grass"
6 }
7}
  1. Click the run button to run the create action

This will create a new record in your model, and send off a request to generate a new sprite image. You should see a success message in the playground, and can hover over the sprite url field to preview your Gadgémon. You can also view your record on the model's Data page.

  1. Click on the gadgemon model in the sidebar
  2. Click on the Data tab
Screenshot of the gadgemon model's data page with a single record that has been added

You can see that your record was stored in the database and that an image was generated. You can view the generated image by copying the url value from the sprite field and pasting it into your browser.

To view the log message you wrote in your action, you can view the Gadget Logs:

  1. Click on Logs in the sidebar
  2. Turn the My events toggle on by clicking the switch - you may also need to adjust the time range to see your log message

You should see the log message that was written when you ran your action.

Screenshot of the Gadget Logs, with the My events toggle turned on, and a single log event with a Gadgemon id and imageUrl

Now that you know that you can create new Gadgémon records, you can move on to building a frontend so you can create and view your Gadgémon with a UI.

Step 4: Setup your frontend 

In Gadget, your Vite + React frontend is found inside the frontend folder. New Gadget apps have a starter template that you will edit to build your app frontend:

  • a Vite project is initialized, including the vite.config.js and index.html files in the root folder of your app
  • a default React project is set up in the frontend folder, including main.jsx, App.jsx, and App.css, and two routes in the frontend/routes folder
  • an API client is already set up in frontend/api.js, and is imported into App.jsx
  • an auth system, including email/password and Google SSO is included

First, install a component library to style your frontend.

Install Material UI (MUI) 

You may have noticed the package.json in the file explorer. Gadget runs on Node.js, so you can use yarn to install Node.js packages to your app. You will use Material UI (MUI) to style your frontend.

  1. Open the Gadget command palette with P or Ctrl P
  2. Type > to enable terminal mode
  3. Run the following command:
Run in the Gadget command palette
yarn
yarn add @mui/material @mui/styles @emotion/react @emotion/styled
Screenshot of the Gadget command palette with the 'yarn add @mui/material @mui/styles @emotion/react @emotion/styled' command ready to be run

This will install MUI and its dependencies to your app. Currently, only yarn is supported for package management in your Gadget apps. Once the install is complete, you will be able to see these packages in your package.json file.

Your React frontend will have two main sections: a form used to create new Gadgémon and a list of the Gadgémon that have already been created. Start by adding a section for displaying your already-created Gadgémon.

Display your Gadgémon 

We will need to read and write using our gadgemon model's CRUD API. To do this, we will use the useFindMany and useActionForm hooks, provided by the @gadgetinc/react package. These hooks take in the API client, which you can import from the api.js file in the frontend folder.

  1. Edit the frontend/routes/signed-in.jsx file to add the following code:
frontend/routes/signed-in.jsx
jsx
1import { api } from "../api";
2import { useFindMany } from "@gadgetinc/react";
3import { Paper, Grid, Card, Stack, CircularProgress } from "@mui/material";
4
5export default function () {
6 // the useFindMany hook is used to read records from the Gadgemon model
7 const [{ data: myGadgemon, fetching: fetchingGadgemon }] = useFindMany(api.gadgemon);
8
9 return (
10 <Paper>
11 <Grid container spacing={2} p={2}>
12 <Grid item xs={10}>
13 <div style={{ height: "calc(90vh - 80px)", width: "100vh", overflowY: "auto" }}>
14 <Stack spacing={2}>
15 <h2>My Gadgémon</h2>
16 <Grid container>
17 {fetchingGadgemon && <CircularProgress />}
18 {myGadgemon?.map((gadgemon, i) => (
19 <Grid item xs={3} key={`gadgemon_${i}`} px={1} pt={0} pb={2}>
20 <Card variant="outlined">
21 <Grid container direction="column" alignItems="center">
22 <b>{gadgemon.name}</b>
23 <img src={gadgemon.sprite?.url} />
24 the "{gadgemon.type} {gadgemon.similar}" Gadgémon
25 </Grid>
26 </Card>
27 </Grid>
28 ))}
29 {myGadgemon?.length === 0 && <b>Start by creating a Gadgémon!</b>}
30 </Grid>
31 </Stack>
32 </div>
33 </Grid>
34 </Grid>
35 </Paper>
36 );
37}

One key line to pay attention to is:

frontend/routes/signed-in.jsx
js
const [{ data: myGadgemon, fetching: fetchingGadgemon, error: readError }] = useFindMany(api.gadgemon);

The useFindMany hook will read data from your gadgemon model, and return an object that includes:

  • the returned data, aliased as myGadgemon
  • fetching, a boolean that is true while the request is running and aliased as fetchingGadgemon
  • error, which will contain any errors that occur while fetching the data

Now you can see your Gadgémon in the frontend. Just open up your development environment URL in your browser:

  1. Click on your app domain name at the top of the left sidebar
  2. Hover over Go to app
  3. Click on Development to open your app in a new tab
  4. Sign up using either Google SSO, or email/password auth to get access to the signed-in route

Once you have signed-up and signed-in, you should see your Gadgémon displayed on the page.

A screenshot of the 'Gadgetbot' gadgemon that was created with the API Playground command

Create new Gadgémon 

Now add a form to create a new Gadgémon. You can use the useActionForm hook, provided by the @gadgetinc/react package to create a new Gadgémon record in your backend API, and handle all of our frontend form state. This hook accepts your Gadget API's gadgemon.create action as an argument. For more information on useActionForm see the reference docs.

  1. Replace all contents of frontend/routes/signed-in.jsx (again):
frontend/routes/signed-in.jsx
jsx
1import { useState } from "react";
2import { api } from "../api";
3import { useFindMany, useSignOut, useActionForm, Controller } from "@gadgetinc/react";
4import {
5 Paper,
6 Grid,
7 Card,
8 Stack,
9 CircularProgress,
10 TextField,
11 MenuItem,
12 FormControl,
13 Button,
14 LinearProgress,
15 Alert,
16 Link,
17} from "@mui/material";
18
19export default function () {
20 // the useSignOut hook logs the existing user out
21 const signOut = useSignOut();
22
23 // use React state to display recently-created Gadgemon
24 const [gadgemonPreview, setGadgemonPreview] = useState(null);
25
26 // the useActionForm hook is used to call the gadgemon.create action
27 // and manages form state and submission
28 const { submit, control, formState, error, reset } = useActionForm(api.gadgemon.create, {
29 defaultValues: {
30 name: "",
31 similar: "",
32 type: "",
33 },
34 onSuccess: (actionResult) => {
35 setGadgemonPreview(actionResult);
36 // reset the form once submission is complete
37 reset();
38 },
39 });
40
41 // the useFindMany hook is used to read records from the Gadgemon model
42 const [{ data: myGadgemon, fetching: fetchingGadgemon }] = useFindMany(api.gadgemon);
43
44 return (
45 <Paper>
46 {error && (
47 <Alert severity="error">
48 <code>{error.message}</code>
49 </Alert>
50 )}
51 <Grid container spacing={2} p={2}>
52 <Grid item xs={2}>
53 <FormControl fullWidth>
54 <form onSubmit={submit}>
55 <Stack spacing={2}>
56 <h2>Gadgémon factory</h2>
57 <Controller
58 name="name"
59 control={control}
60 required
61 render={({ field }) => (
62 <TextField
63 label="Name"
64 size="small"
65 fullWidth
66 variant="outlined"
67 required
68 disabled={formState.isSubmitting}
69 {...field}
70 />
71 )}
72 />
73 <Controller
74 name="similar"
75 control={control}
76 required
77 render={({ field }) => (
78 <TextField
79 label="Looks like a..."
80 size="small"
81 fullWidth
82 variant="outlined"
83 required
84 disabled={formState.isSubmitting}
85 {...field}
86 />
87 )}
88 />
89 <Controller
90 name="type"
91 control={control}
92 required
93 render={({ field }) => (
94 <TextField select label="Type" required disabled={formState.isSubmitting} {...field}>
95 <MenuItem value={"grass"}>Grass</MenuItem>
96 <MenuItem value={"water"}>Water</MenuItem>
97 <MenuItem value={"fire"}>Fire</MenuItem>
98 </TextField>
99 )}
100 />
101 <Button variant="contained" disabled={formState.isSubmitting} type="submit">
102 Create Gadgémon
103 </Button>
104 {formState.isSubmitting && (
105 <Stack spacing={1}>
106 <span>Creating new Gadgémon!</span>
107 <LinearProgress />
108 </Stack>
109 )}
110 {gadgemonPreview?.sprite && (
111 <Card variant="outlined">
112 <img src={gadgemonPreview.sprite.url} />
113 </Card>
114 )}
115 </Stack>
116 </form>
117 </FormControl>
118 <Link onClick={signOut}>Sign Out</Link>
119 </Grid>
120 <Grid
121 item
122 xs={10}
123 sx={{
124 overflowY: "auto",
125 height: "calc(90vh - 80px)",
126 width: "100vh",
127 }}
128 >
129 <Stack spacing={2}>
130 <h2>My Gadgémon</h2>
131 <Grid container>
132 {fetchingGadgemon && <CircularProgress />}
133 {myGadgemon?.map((gadgemon, i) => (
134 <Grid item xs={3} key={`gadgemon_${i}`} px={1} pt={0} pb={2} display="flex">
135 <Card variant="outlined">
136 <Grid container direction="column" alignItems="center">
137 <b>{gadgemon.name}</b>
138 <img src={gadgemon.sprite?.url} />
139 the "{gadgemon.type} {gadgemon.similar}" Gadgémon
140 </Grid>
141 </Card>
142 </Grid>
143 ))}
144 {myGadgemon?.length === 0 && <b>Start by creating a Gadgémon!</b>}
145 </Grid>
146 </Stack>
147 </Grid>
148 </Grid>
149 </Paper>
150 );
151}

You are now done building your fullstack app. You can test it out in your development environment.

Test your app 

Head back to your development URL and you should see your form. Gadget frontends include hot module reloading so the frontend will update as you write code. Try creating a new Gadgémon.

A screenshot of the completed app, with an additional Gadgemon created: 'Carl, the fire turtle'

Step 5: Deploy your app 

Deploying to production is a two-click process:

  1. Click the Deploy button in the bottom right of the Gadget UI
  2. Then click the Deploy Changes button
Screenshot of the deploy button in Gadget

Your app will be built and optimized for production, and available at your production URL. To view your app in production:

  1. Click on your app domain in the top left of the Gadget UI
  2. Hover over Go to app
  3. Click Production

Your production app will open, and you can create your first Gadgémon in production!

Congrats! You have built your first fullstack Gadget application and have learned how to:

  • build data models
  • add custom code to model actions
  • change API permissions
  • call your app's API (actions) from the frontend

Next steps 

Want to expand your app? Here are some ideas:

  • allow users to delete Gadgémon
  • use OpenAI to generate a description for your Gadgémon
  • send two Gadgemon into battle (using OpenAI) and see who wins

Shopify app development 

Interested in using Gadget to build Shopify apps? Try the product tagger tutorial:

Automated product tagger
20 mins

Build an embedded Shopify application that automatically tags products in a Shopify store based on description keywords.

AI app development 

You can learn about some of Gadget's AI features such as vector embeddings and similarity searches with the AI screenwriter tutorial:

AI Screenwriter
30 mins

Learn how to build an AI chatbot that writes fake movie scenes using Gadget, OpenAI, and Vercel's AI SDK.

Questions? 

Reach out on Gadget's Discord server to talk with Gadget employees and the Gadget developer community!