Creating AI Chatbots using Nodejs: A Step-by-Step Guide to Training with BoostGPT

Chatbots are becoming increasingly popular in various industries, from customer service to education. BoostGPT is an AI platform that allows you to create and train chatbots with ease. In this tutorial, we will walk you through the process of training a chatbot with BoostGPT.

Prerequisites

Before we get started, you will need the following:

• An account with BoostGPT. If you don’t have one, it’s easy to create an account here.
• A project created in BoostGPT
• An API key for your BoostGPT account

Step 1: Install BoostGPT

To use BoostGPT, you will need to install it in your project. You can do this using npm:

npm install boostgpt

Step 2: Create a Chatbot

To create a chatbot, you will need to provide the BoostGPT API with the following information:

• The model you want to use (e.g. gpt-3.5-turbo)
• Instructions for the chatbot (e.g. “I want you to act as an AI assistant that I am having a conversation with.”)

Here is an example of how to create a chatbot in your BoostGPT project:

const { BoostGPT } = require("boostgpt");

const boostgpt = new BoostGPT({
  key: "YOUR API KEY",
  project_id: "YOUR PROJECT ID"
});
let payload = {
  model: "gpt-3.5-turbo",
  instruction: "I want you to act as an AI assistant that I am having a conversation with."
};
let chatbot = await boostgpt.createBot(payload);
if (chatbot.err) {
  // Handle errors here.
} else {
  console.log(chatbot.response);
}

Step 3: Train the Chatbot with Your Data

To train the chatbot with your data, you will need to provide the BoostGPT API with the following information:

• The bot ID of the chatbot you want to train
• The type of source (e.g. text, file, webpage).
• The source data (e.g. the text content or an array of accessible links to your files or web pages)

Here is an example of how to train a chatbot with your text data:

let payload = {
  bot_id: "YOUR BOT ID",
  type: "text",
  source: "YOUR SOURCE DATA"
};

let chatbot = await boostgpt.startTraining(payload);

if (chatbot.err) {
  // Handle errors here.
} else {
  console.log(chatbot.response);
}

Step 4: Engage the Chatbot

Once your chatbot has been trained, you can engage it with your users. Here is an example of how to engage a chatbot:

let payload = {
  bot_id: "YOUR BOT ID",
  openai_key: "YOUR OPENAI KEY",
  message: "USER INPUT"
  top: 15,
  max_reply_tokens: 300
};
let chatbot = await boostgpt.chat(payload);

if (chatbot.err) {
  // Handle errors here.
} else {
  console.log(chatbot.response);
}

Conclusion

In this tutorial, we have shown you how to train a chatbot with the BoostGPT nodeJs library. With BoostGPT, you can easily create and train chatbots for various industries. We hope this tutorial has been helpful to you. You can also use the BoostGPT playground to train and test your chatbot capabilities further.

If you have any questions or comments, please feel free to leave them below or join their discord server here: https://discord.gg/KGhz5SnyXM.