How to Create Language Translator in Android using Firebase ML Kit?
In the previous article, we have seen using Language detector in Android using Firebase ML kit. In this article, we will take a look at the implementation of Language translator in Android using Firebase ML Kit in Android.
What we are going to build in this article?
We will be building a simple application in which we will be showing an EditText field and we will add any input to that TextField. Along with that, we will be displaying a Button to translate that text to the German language. After clicking that button our text will be translated to the German language which we can get to see in the text view. A sample video is given below to get an idea about what we are going to do in this article. Note that we are going to implement this project using the Java language.
Step by Step Implementation
Step 1: Create a New Project
To create a new project in Android Studio please refer to How to Create/Start a New Project in Android Studio. Note that select Java as the programming language.
Step 2: Connect your app to Firebase
After creating a new project in Android Studio connect your app to Firebase. For connecting your app to firebase. Navigate to Tools on the top bar. After that click on Firebase. A new window will open on the right side. Inside that window click on Firebase ML and then click on Use Firebase ML kit in Android. You can see the option in the below screenshot.
After clicking on this option you will get to see the below screen. On this screen click on Connect to Firebase option to connect your app to Firebase. Click on Connect option to connect your app to Firebase and add the below dependency to your build.gradle file.
Step 3: Adding dependency for language translation to build.gradle file
Navigate to the Gradle Scripts > build.gradle(Module:app) and add the below dependency in the dependencies section.
// dependency for firebase core.
// below two dependency are used for language detection
Step 4: Adding permissions to access the Internet in your Android App
Navigate to the app > AndroidManifest.xml file and add the below code to it. Comments are added in the code to get to know in more detail.
Step 5: Working with the activity_main.xml file
Navigate to the app > res > layout > activity_main.xml and add the below code to that file. Below is the code for the activity_main.xml file.
Step 6: Working with the MainActivity.java file
Go to the MainActivity.java file and refer to the following code. Below is the code for the MainActivity.java file. Comments are added inside the code to understand the code in more detail.
Now run your app and see the output of the app.
Note: When you are using the app for the first time. It will take some time because it will download the modal in the background. We are not adding multiple language support in this application because for each language we have to download the language conversion model so it will make the app heavier and language translation will take so much time.
Check out the project on the below link: https://github.com/ChinmayMunje/Firebase-ML-Kit