Building Your Own Intelligent Chatbot with ChatGPT and Botpress: A Step-by-Step Guide - Part-3
Tags: ai, react, javascript, chatgpt
Published: 2023-02-15 08:32:03

Title: [How to Integrate ChatGPT with Your App](https://www.cronj.com/chat-gpt-application): Integrating Your Chatbot with a Chatbot Platform

Introduction:

In the previous article, we showed you [how to create a chatbot using ChatGPT and the OpenAI API](https://www.cronj.com/chat-gpt-application). In this third part of the series, we will show you how to integrate your chatbot with a chatbot platform, which will allow you to easily deploy and manage your chatbot on various messaging channels.

Integrating Your Chatbot with a Chatbot Platform:

To integrate your chatbot with a chatbot platform, we will be using the Botpress chatbot platform. Botpress is an open-source chatbot framework that allows you to create, deploy, and manage chatbots on various messaging channels, including Facebook Messenger, Slack, and WhatsApp.

Follow these steps to get started:

Step 1: Install Botpress

To install Botpress, you can use the following command in your terminal:

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npm install -g botpress
Step 2: Create a new Botpress bot

Once you have installed Botpress, you can create a new bot by running the following command in your terminal:

csharp
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botpress init my-bot
This will create a new directory called my-bot with all the files you need to run your bot.

Step 3: Integrate your ChatGPT chatbot with your Botpress bot

To integrate your ChatGPT chatbot with your Botpress bot, you will need to create a custom module that uses the OpenAI API to generate responses to user messages. Here's an example of how you can do this:

javascript
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const openai = require('openai');
const client = new openai('<YOUR_API_KEY>');

async function generateResponse(prompt) {
  const response = await client.completions.create({
    engine: 'davinci',
    prompt: prompt,
    max_tokens: 150,
    n: 1,
    stop: '\n'
  });

  return response.choices[0].text.trim();
}

async function action(bp: typeof sdk, event: typeof sdk.IO.IncomingEvent) {
  const userMessage = event.payload.text;
  const response = await generateResponse(userMessage);

  bp.logger.info(`User: ${userMessage}`);
  bp.logger.info(`Chatbot: ${response}`);

  await bp.events.replyToEvent(event, { type: 'text', text: response });
}

module.exports = {
  name: 'ChatGPT',
  description: 'Generates responses using OpenAI\'s GPT-3',
  version: '1.0.0',
  init: function (bp: typeof sdk) {
    bp.hear(/.*/, action);
  }
};
This code defines a custom module for your Botpress bot that listens for all user messages and uses the OpenAI API to generate a response to each message. The generateResponse function uses the same code we used in the previous article to generate responses using the OpenAI API. The action function is called for each user message and logs the message and the generated response to the console, and then sends the response back to the user using the bp.events.replyToEvent method.

Step 4: Start your Botpress bot

To start your Botpress bot, you can use the following command in your terminal:

bash
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cd my-bot
botpress start
This will start your bot and make it available on the Botpress chatbot platform.

Conclusion:

In this article, we showed you how to integrate your ChatGPT chatbot with the Botpress chatbot platform, which will allow you to easily deploy and manage your chatbot on various messaging channels. By following the steps outlined in this article, you can create a custom module for your Botpress bot that uses the OpenAI API to generate responses to user messages, and then start your bot and make it available on the Botpress chatbot platform.

In the next article, we will show you how to integrate your chatbot with Facebook Messenger, which will allow you to reach a wide audience of Facebook users with your chatbot. Stay tuned for the fourth part of the series!