OpenAI API Chatbot for ChatGPT

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OpenAI’s ChatGPT is an synthetic 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 lively customers, making it the fastest-growing shopper utility in historical past. Many individuals use ChatGPT for interactive training, mock interviews, language translation, automated customer support and extra.

ChatGPT is offered as an utility programming interface (API) service, which suggests you’ll be able to combine it into your Android utility. With ChatGPT, you’ll be able to create an Android utility to right your typing grammar, as an illustration.

On this tutorial, you’ll discover ways to construct Chatty Bot, a ChatGPT-based chatbot Android utility. Within the utility, you’ll be able to select a persona in your chatbot, resembling a journey information.

Throughout the course of, you’ll study to:

  • Design chat messages.
  • Create typing animation.
  • Combine the ChatGPT OpenAI API service.
  • Perceive the parameters of the API name.

Be aware: This text assumes you’ve gotten earlier expertise with Kotlin and Jetpack Compose in Android. To understand Kotlin, bounce into this Introduction to Kotlin for Android tutorial and the ebook Kotlin Apprentice. For studying Android growth, take a look at the ebook Android Apprentice. Lastly, to know Jetpack Compose, you can begin with Jetpack Compose by Tutorials.

And with that, it’s time to talk it up!

Getting Began

Obtain the starter challenge 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 challenge later.

Chatty Bot file structure

Browse the challenge’s recordsdata to familiarize your self with the codebase. There are two most important folders underneath the com.kodeco.android.chattybot folder: the ui folder and the mannequin folder.

Six recordsdata are underneath the ui folder. The Settings.kt file is the Settings display screen, a kind for coming 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, resembling a journey information. You’ll create the consumer interface (UI) for the chat message packing containers within the AIMessage.kt, UserMessage.kt and ChattingScreen.kt recordsdata.

The mannequin listing incorporates a number of recordsdata. The primary file, Persona.kt, shops the persona textual content for PersonaScreen.ktConstants.kt shops challenge constants. ChatModel.kt incorporates the info 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 Undertaking

Construct and run the starter challenge. You’ll see the next display screen:

The screen of Chatty Bot

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 consumer 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. When you click on one in every of them, the field border turns cyan to point that that is your chatbot persona:

Persona screen

Do you see the “Journey Information in Tokyo” persona? This feels like an journey ready to occur! :-]

The final tab is the Settings tab, the place you’ll be able to enter your OpenAI key:

Settings screen

 

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 standard chat purposes like WhatsApp, Telegram or Fb Messenger. A chatting window UI sometimes 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 listing 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 consumer message, create a Field that doesn’t take up your entire horizontal house and is aligned to the proper aspect of the container. Then, add a Textual content contained in the Field. The Textual content will show the message the consumer varieties to ChatGPT. To point that this message comes from a consumer, add an icon on the proper aspect 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(Colour.LightGray, RoundedCornerShape(16.dp))
    ) {
      Textual content(
        textual content = content material,
        modifier = Modifier
          .align(Alignment.Middle)
          .padding(8.dp)
      )
    }
    Icon(
      imageVector = Icons.Default.Particular person,
      contentDescription = "Person Icon"
    )
  }

Construct and run the challenge, and you need to see the next display screen:

User message

It appears good! The chat message field is accurately proper aligned. The Row takes up the total width, and the Field takes up solely 80 % of the width, as indicated by the .fillMaxWidth(0.8f) modifier. The one concern is that the chat message field is on the high, slightly than the underside, near the typing TextField. When 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 consumer 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(Colour.LightGray, RoundedCornerShape(16.dp))
    ) {
      Textual content(
        textual content = content material,
        modifier = Modifier
          .align(Alignment.Middle)
          .padding(8.dp)
      )
    }
    Icon(
      imageVector = Icons.Default.Particular person,
      contentDescription = "Person Icon"
    )
  }

Then, within the ChattingScreen.kt file, beneath the road // TODO: Create dialog packing containers, add the next code:

UserMessage("Howdy, AI!")

When you construct and run the challenge once more, you see the identical display screen. Now, you wish to add a chat message from ChatGPT. This chat message field needs to 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 neglect 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(Colour.DarkGray, RoundedCornerShape(16.dp))
    ) {
      Textual content(
        textual content = content material,
        modifier = Modifier
          .align(Alignment.Middle)
          .padding(8.dp),
        coloration = Colour.White
      )
    }
  }

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