Build a Serverless Web Application using Generative AI

TUTORIAL

INTRODUCTION
Host static website
MANAGE USERS
Build SERVERLESS BACKEND
DEPLOY THE BACKEND API
BUILD THE FRONTEND
CLEAN UP RESOURCES

Task 5: Build the Frontend

In this task, you will create an app frontend and connect it to the cloud backend you have already built.

Overview

In this task, you will update the website you created in module one to use the Amplify UI component library to scaffold out an entire user authentication flow, allowing users to sign up, sign in, and reset their password and invoke the GraphQL API to use the customer query for generating recipe based on a list of ingredients.

What you will accomplish

  • Install the Amplify client libraries
  • Configure your React app to add the authentication flow and invoke the GraphQL API

Implementation

 Time to complete

5 minutes

 Get help

Troubleshooting Amplify

Troubleshooting common issues using Amplify UI

  • You will need two Amplify libraries for your project. The main aws-amplify library contains all of the client-side APIs for connecting your app's frontend to your backend, and the @aws-amplify/ui-react library contains framework-specific UI components.

    1. Open a new terminal window, navigate to your projects root folder (ai-recipe-generator), and run the following command to install the libraries.

    npm install aws-amplify @aws-amplify/ui-react

  • 1. On your local machine, navigate to the ai-recipe-generator/src/index.css file, and update it with the following code to center the App UI. Then, save the file.

    :root {
  font-family: Inter, system-ui, Avenir, Helvetica, Arial, sans-serif;
  line-height: 1.5;
  font-weight: 400;

  color: rgba(255, 255, 255, 0.87);

  font-synthesis: none;
  text-rendering: optimizeLegibility;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;

  max-width: 1280px;
  margin: 0 auto;
  padding: 2rem;

}

.card {
  padding: 2em;
}

.read-the-docs {
  color: #888;
}

.box:nth-child(3n + 1) {
  grid-column: 1;
}
.box:nth-child(3n + 2) {
  grid-column: 2;
}
.box:nth-child(3n + 3) {
  grid-column: 3;
}

    2. Update the src/App.css file with the following code to style the ingredients form. Then, save the file.

    .app-container {

  margin: 0 auto;
  padding: 20px;
  text-align: center;
}

.header-container {
  padding-bottom: 2.5rem;
  margin:  auto;
  text-align: center;

  align-items: center;
  max-width: 48rem;
  
  
}

.main-header {
  font-size: 2.25rem;
  font-weight: bold;
  color: #1a202c;
}

.main-header .highlight {
  color: #2563eb;
}

@media (min-width: 640px) {
  .main-header {
    font-size: 3.75rem;
  }
}

.description {

  font-weight: 500;
  font-size: 1.125rem;
  max-width: 65ch;
  color: #1a202c;
}

.form-container {
  margin-bottom: 20px;
}

.search-container {
  display: flex;
  flex-direction: column;
  gap: 10px;
  align-items: center;
}

.wide-input {
  width: 100%;
  padding: 10px;
  font-size: 16px;
  border: 1px solid #ccc;
  border-radius: 4px;
}

.search-button {
  width: 100%; /* Make the button full width */
  max-width: 300px; /* Set a maximum width for the button */
  padding: 10px;
  font-size: 16px;
  background-color: #007bff;
  color: white;
  border: none;
  border-radius: 4px;
  cursor: pointer;
}

.search-button:hover {
  background-color: #0056b3;
}

.result-container {
  margin-top: 20px;
  transition: height 0.3s ease-out;
  overflow: hidden;
}

.loader-container {
  display: flex;
  flex-direction: column;
  align-items: center;
  gap: 10px;
}

.result {
  background-color: #f8f9fa;
  border: 1px solid #e9ecef;
  border-radius: 4px;
  padding: 15px;
  white-space: pre-wrap;
  word-wrap: break-word;
  color: black;
  font-weight: bold;
  text-align: left; /* Align text to the left */
}

  • 1. On your local machine, navigate to the ai-recipe-generator/src/main.tsx file, and update it with the following code. Then, save the file.

    • The code will use the Amplify Authenticator component to scaffold out an entire user authentication flow allowing users to sign up, sign in, reset their password, and confirm sign-in for multifactor authentication (MFA).
    import React from "react";
import ReactDOM from "react-dom/client";
import App from "./App.jsx";
import "./index.css";
import { Authenticator } from "@aws-amplify/ui-react";

ReactDOM.createRoot(document.getElementById("root")!).render(
  <React.StrictMode>
    <Authenticator>
      <App />
    </Authenticator>
  </React.StrictMode>
);

    2. Open the ai-recipe-generator/src/App.tsx file, and update it with the following code. Then, save the file.

    • The code starts by configuring the Amplify library with the client configuration file (amplify_outputs.json). It then generates a data client using the generateClient() function. The app presents a form to users for submitting a list of ingredients. Once submitted, it will use the data client to pass the list to the askBedrock query and retrieve the generated recipe then display it to the user.
    import { FormEvent, useState } from "react";
import { Loader, Placeholder } from "@aws-amplify/ui-react";
import "./App.css";
import { Amplify } from "aws-amplify";
import { Schema } from "../amplify/data/resource";
import { generateClient } from "aws-amplify/data";
import outputs from "../amplify_outputs.json";


import "@aws-amplify/ui-react/styles.css";

Amplify.configure(outputs);

const amplifyClient = generateClient<Schema>({
  authMode: "userPool",
});

function App() {
  const [result, setResult] = useState<string>("");
  const [loading, setLoading] = useState(false);

  const onSubmit = async (event: FormEvent<HTMLFormElement>) => {
    event.preventDefault();
    setLoading(true);

    try {
      const formData = new FormData(event.currentTarget);
      
      const { data, errors } = await amplifyClient.queries.askBedrock({
        ingredients: [formData.get("ingredients")?.toString() || ""],
      });

      if (!errors) {
        setResult(data?.body || "No data returned");
      } else {
        console.log(errors);
      }

  
    } catch (e) {
      alert(`An error occurred: ${e}`);
    } finally {
      setLoading(false);
    }
  };

  return (
    <div className="app-container">
      <div className="header-container">
        <h1 className="main-header">
          Meet Your Personal
          <br />
          <span className="highlight">Recipe AI</span>
        </h1>
        <p className="description">
          Simply type a few ingredients using the format ingredient1,
          ingredient2, etc., and Recipe AI will generate an all-new recipe on
          demand...
        </p>
      </div>
      <form onSubmit={onSubmit} className="form-container">
        <div className="search-container">
          <input
            type="text"
            className="wide-input"
            id="ingredients"
            name="ingredients"
            placeholder="Ingredient1, Ingredient2, Ingredient3,...etc"
          />
          <button type="submit" className="search-button">
            Generate
          </button>
        </div>
      </form>
      <div className="result-container">
        {loading ? (
          <div className="loader-container">
            <p>Loading...</p>
            <Loader size="large" />
            <Placeholder size="large" />
            <Placeholder size="large" />
            <Placeholder size="large" />
          </div>
        ) : (
          result && <p className="result">{result}</p>
        )}
      </div>
    </div>
  );
}

export default App;

    3. Open a new terminal window, navigate to your projects root directory (ai-recipe-generator), and run the following command to launch the app:  

    npm run dev

    4. Select the Local host link to open the Vite + React application.

    5. Choose the Create Account tab, and use the authentication flow to create a new user by entering your email address and a password. Then, choose Create Account.

    6. You will get a verification code sent to your email. Enter the verification code to log in to the app.

    7. When signed in, you can start inputting ingredients and generating recipes. 

    8.  In the open terminal window, run the following command to push the changes to GitHub: 

    git add .
git commit -m 'connect to bedrock'
git push origin main

    9. Sign in to the AWS Management console in a new browser window, and open the AWS Amplify console at https://console.aws.amazon.com/amplify/apps.

    10. AWS Amplify automatically builds your source code and deployed your app at https://...amplifyapp.com, and on every git push your deployment instance will update. Select the Visit deployed URL button to see your web app up and running live.

Conclusion

You have now connected your app to the Amplify backend and built a frontend to generate a recipe based on a list of ingredients submitted by the user.

Start Task Six

Clean Up Resources

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