OpenAI’s ChatGPT is a man-made intelligence (AI) chatbot that may generate human-like responses based mostly on textual content enter utilizing the Generative Pre-trained Transformer (GPT) massive language mannequin. OpenAI launched ChatGPT in December 2022, and in two months, it garnered over 100 million month-to-month energetic customers, making it the fastest-growing client utility in historical past. Many individuals use ChatGPT for interactive schooling, mock interviews, language translation, automated customer support and extra.
ChatGPT is offered as an utility programming interface (API) service, which implies you possibly can combine it into your Android utility. With ChatGPT, you possibly can create an Android utility to appropriate your typing grammar, as an example.
On this tutorial, you’ll discover ways to construct Chatty Bot, a ChatGPT-based chatbot Android utility. Within the utility, you possibly can select a persona on your chatbot, akin to a journey information.
Through the course of, you’ll be taught to:
Design chat messages.
Create typing animation.
Combine the ChatGPT OpenAI API service.
Perceive the parameters of the API name.
Word: This text assumes you may have earlier expertise with Kotlin and Jetpack Compose in Android. To know Kotlin, leap into this Introduction to Kotlin for Android tutorial and the e-book Kotlin Apprentice. For studying Android growth, take a look at the e-book Android Apprentice. Lastly, to grasp Jetpack Compose, you can begin with Jetpack Compose by Tutorials.
And with that, it’s time to speak it up!
Getting Began
Obtain the starter mission by clicking the Obtain Supplies button on the high or backside of the tutorial. Open Android Studio Electrical Eel or import and open the starter mission later.
Browse the mission’s recordsdata to familiarize your self with the codebase. There are two foremost folders below the com.kodeco.android.chattybot folder: the ui folder and the mannequin folder.
Six recordsdata are below the ui folder. The Settings.kt file is the Settings display screen, a type for getting into the OpenAI API key. The TabScreen.kt file is a container for the chatting display screen, and the PersonaScreen.kt file permits customers to decide on the ChatGPT persona, akin to a journey information. You’ll create the person interface (UI) for the chat message packing containers within the AIMessage.kt, UserMessage.kt and ChattingScreen.kt recordsdata.
The mannequin listing accommodates a number of recordsdata. The primary file, Persona.kt, shops the persona textual content for PersonaScreen.kt. Constants.kt shops mission constants. ChatModel.kt accommodates the information fashions for exchanging messages between the OpenAI API server with the Retrofit library. OpenAIService.kt is the interface for calling the OpenAI API server, and ChatRetriever.kt receives messages for ChattingScreen.kt and connects to the server utilizing the Retrofit library.
Opening the Starter Mission
Construct and run the starter mission. You’ll see the next display screen:
The app shows three tabs: Chat, Persona and Settings. The Chat tab is chosen by default. This tab display screen has a textual content subject with a button on the backside , like a chat window. On this tab, you’ll show message packing containers from the person and reply packing containers from the API service.
Click on the Persona tab. You’ll see 4 persona decisions. Personas are methods of characterizing the chatbot’s responses: A journey information presents the responses in a different way than, say, a motivational coach. In the event you click on one in every of them, the field border turns cyan to point that that is your chatbot persona:
Do you see the “Journey Information in Tokyo” persona? This seems like an journey ready to occur! :-]
The final tab is the Settings tab, the place you possibly can enter your OpenAI key:
Making a Chat Messages Checklist
Add some messages to the chat display screen to simulate a chatbot. Right here, you’ll create a UI resembling fashionable chat purposes like WhatsApp, Telegram or Fb Messenger. A chatting window UI usually consists of a listing of messages, a textual content subject for typing messages and a button to ship messages. The textual content subject and button have already been created. You’ll discover the container for the record of chat messages within the ChattingScreen.kt file. Search for the road // TODO: Create dialog packing containers, which is inside an empty Field.
For every person message, create a Field that doesn’t take up your entire horizontal house and is aligned to the suitable facet of the container. Then, add a Textual content contained in the Field. The Textual content will show the message the person sorts to ChatGPT. To point that this message comes from a person, add an icon on the suitable facet of the message.
Add the next code beneath the road // TODO: Create dialog packing containers:
val content material = “Howdy, AI!”
Row(
modifier = Modifier.fillMaxWidth(),
horizontalArrangement = Association.Finish,
verticalAlignment = Alignment.Backside
) {
Field(
modifier = Modifier
.padding(16.dp)
.fillMaxWidth(0.8f)
.heightIn(120.dp)
.background(Coloration.LightGray, RoundedCornerShape(16.dp))
) {
Textual content(
textual content = content material,
modifier = Modifier
.align(Alignment.Heart)
.padding(8.dp)
)
}
Icon(
imageVector = Icons.Default.Individual,
contentDescription = “Consumer Icon”
)
}
Construct and run the mission, and you need to see the next display screen:
It appears to be like good! The chat message field is appropriately proper aligned. The Row takes up the total width, and the Field takes up solely 80 p.c of the width, as indicated by the .fillMaxWidth(0.8f) modifier. The one challenge is that the chat message field is on the high, fairly than the underside, near the typing TextField. In the event you’ve used a chat utility, you’re aware of message packing containers popping up from the underside, however you’ll cowl that later.
Displaying the Chat Response
For now, you’ll wish to refactor the code. Delete the code, and transfer it to the UserMessage.kt file. Open the UserMessage.kt file and add the next code beneath the road // TODO: Create the person dialog field:
Row(
modifier = Modifier.fillMaxWidth(),
horizontalArrangement = Association.Finish,
verticalAlignment = Alignment.Backside
) {
Field(
modifier = Modifier
.padding(16.dp)
.fillMaxWidth(0.8f)
.heightIn(120.dp)
.background(Coloration.LightGray, RoundedCornerShape(16.dp))
) {
Textual content(
textual content = content material,
modifier = Modifier
.align(Alignment.Heart)
.padding(8.dp)
)
}
Icon(
imageVector = Icons.Default.Individual,
contentDescription = “Consumer Icon”
)
}
Then, within the ChattingScreen.kt file, beneath the road // TODO: Create dialog packing containers, add the next code:
UserMessage(“Howdy, AI!”)
In the event you construct and run the mission once more, you see the identical display screen. Now, you wish to add a chat message from ChatGPT. This chat message field must be aligned to the left of the chatting container. Make sure the field coloration is totally different so customers can differentiate the messages extra simply. Don’t overlook so as to add an Icon on the left of the message.
Open the AIMessage.kt file and add the next code beneath the road // TODO: Create the AI dialog field:
Row(
modifier = Modifier.fillMaxWidth(),
horizontalArrangement = Association.Begin,
verticalAlignment = Alignment.Backside
) {
Icon(
imageVector = Icons.Default.Face,
contentDescription = “AI Icon”
)
Field(
modifier = Modifier
.padding(16.dp)
.fillMaxWidth(0.8f)
.heightIn(120.dp)
.background(Coloration.DarkGray, RoundedCornerShape(16.dp))
) {
Textual content(
textual content = content material,
modifier = Modifier
.align(Alignment.Heart)
.padding(8.dp),
coloration = Coloration.White
)
}
}