Build an AI Chatbot with React Native and OpenAI's GPT-3 API

Table of Contents

1. Introduction

2. Setting Up the Project

2.1. Installing Dependencies

2.2. Creating a Separate Javascript File

2.3. Customizing the Project

3. Using OpenAI API

3.1. Creating Stateful Variables

3.2. Sending User Input to OpenAI API

3.3. Handling API Response

4. Rendering Chat Messages with FlatList Component

4.1. Passing Data to FlatList

4.2. Rendering Each Item With renderItem Prop

5. Collecting User Input with TextInput and TouchableOpactiy

6. Styling the Chatbot Application

7. Testing the Chatbot Application

Building an AI Chatbot Using GPT3 and React Native Expo

1. Introduction

In this article, we will discuss how to Create a chatbot application using GPT3 and React Native Expo. Chatbots have become increasingly popular over the years and have become a must-have feature for many businesses. They provide an efficient way to communicate with customers and provide a personalized experience. We will discuss the step-by-step process of setting up a chatbot application using GPT3 and React Native Expo.

2. Setting Up the Project

To begin, we need to set up the project. We will use React Native Expo, which is a set of tools that allows us to quickly build React Native apps. We will first create an Expo project with the blank template.

2.1. Installing Dependencies

Next, we will install the Axios library, which is a popular JavaScript library used for making HTTP requests. It is often used to make API calls and handle responses. Axios provides a way to handle HTTP requests and responses in a more efficient and streamlined way, making it a useful tool for web development.

2.2. Creating a Separate Javascript File

After installing the dependencies, we will create a separate javascript file inside a separate "src" folder and then customize the project accordingly.

2.3. Customizing the Project

We will customize the title of the application and use the OpenAI API key. The OpenAI API Key is used for authentication and authorization purposes. We will create stateful variables for storing data and user input.

3. Using OpenAI API

To build an AI Chatbot, we need an API that is capable of generating responses Based on user input. OpenAI is a powerful natural language processing API that we can use to build our chatbot. In this section, we will discuss how to use the OpenAI API to generate responses.

3.1. Creating Stateful Variables

We will create stateful variables called data and textInput, which can be used to update the value of data and textInput respectively. We will also create variables for apiKey and apiUrl which will hold the key value and endpoint for the API respectively.

3.2. Sending User Input to OpenAI API

We will create a function named 'handleSend' that makes an API call and updates the application's state. The function uses the 'Prompts' variable for user input and passes an object to the request body with the 'prompt', 'max_tokens' and 'temperature' properties.

3.3. Handling API Response

We will extract the 'text' property of the first element in the 'choices' array of the response data and assign it to a variable 'text'. We will update the 'data' state variable by adding two new objects, one with a 'Type' of 'user' and another with a 'type' of 'bot'.

4. Rendering Chat Messages with FlatList Component

In this section, we will discuss how to render chat messages using the FlatList component in React Native.

4.1. Passing Data to FlatList

We will pass the data prop to the FlatList component, which will render each item in the list.

4.2. Rendering Each Item With renderItem Prop

We will pass an object to the 'renderItem' prop function and render the View component with some styles and nested Text component. We also add a prefix to the messages for distinguishing between user and bot messages.

5. Collecting User Input with TextInput and TouchableOpacity

We will use the TextInput component to get input from the user and the TouchableOpacity component for the send button.

6. Styling the Chatbot Application

We will discuss how to style the chatbot application using CSS.

7. Testing the Chatbot Application

Finally, we will test the chatbot application, and we're done.

Pros

• The article provides a step-by-step guide for building an AI chatbot using GPT3 and React Native Expo.
• The article explains each step in Detail, making it easy to follow along even for beginners.
• The article covers rendering messages using the FlatList component and collecting user input with TextInput and TouchableOpacity.

Cons

• The article may be too lengthy for some readers who prefer concise articles.
• The article may require some knowledge of React Native and JavaScript.

Highlights

• Building a chatbot application using GPT3 and React Native Expo.
• Learn how to use the OpenAI API to generate responses.
• Rendering chat messages using the FlatList component in React Native.
• Collecting user input with TextInput and TouchableOpacity.

FAQ

Q1. What is GPT3?

A1. GPT-3 stands for Generative Pre-trained Transformer 3 and is a state-of-the-art language generation model developed by OpenAI.

Q2. What is React Native Expo?

A2. Expo is a free and open-source toolchain built around React Native that helps You build iOS and Android apps faster.

Q3. What is an AI chatbot?

A3. An AI chatbot is a computer program that uses artificial intelligence to simulate conversations with humans.

Q4. What is the OpenAI API?

A4. The OpenAI API is a natural language processing API that allows developers to use OpenAI's advanced AI models to build applications.

Q5. What is the FlatList component in React Native?

A5. The FlatList component is a high-performance list-view component in React Native that renders a list of items.