Inputron

Inputron is a powerful package designed to enhance user input experiences in web applications using Generative AI. It provides a set of customizable building blocks for react/nextjs forms that can be easily integrated into your projects to improve users interactions.

Features

Customizable Components: Easily tailor the appearance and behavior of input components to fit your needs.
Enhanced User Experience: Improve the usability and accessibility of your forms.
Seamless Integration: Quickly integrate Inputron into your existing projects with minimal effort.

Use cases

Inputron provides developers with innovative capabilities that were previously unavailable, unlocking limitless opportunities and diverse use cases. Here are a few examples:

Multi language forms: Inputron’s Smart AI Fields enable the creation of multilingual forms by dynamically translating form fields and labels based on Developer’s prompts
Personalized forms: Inputron offers the capability to analyse user input in real time and provide immediate, context-sensitive feedback. By leveraging AI, Inputron can validate entries, offer suggestions, or highlight potential errors to ensure data accuracy and improve the user’s experience.
Dynamic forms: Inputron creates dynamic forms without a backend database, using AI-powered fields that adapt form structure in real time based on user input and the developer’s design.

Installation

To install Inputron, use npm or yarn:

npm install @revivesoft/inputron

yarn add @revivesoft/inputron

You must obtain an API Key and Client ID from (https://www.inputron.com)

Edit your .env variables to include the API Key and Client ID

INPUTRON_API_KEY=ENTER KEY DETAILS HERE
INPUTRON_ENGINE_API_ENDPOINT=https://api.inputron.com
INPUTRON_CLIENT_ID=ENTER YOUR CLIENT ID

Here is an example of how to use the LabelTron component from the Inputron package:

"use client";
import { LabelTron } from "@revivesoft/inputron";
 
const ExampleLabelComponent = () => {
  return (
    <LabelTron
      languages={['es', 'fr', 'ar']}
      icon={{
        className: "h-3 text-pink-500",
        visible: true,
      }}
      interval={2000}
      className="text-md font-bold"
    >
      First Name
    </LabelTron>
  );
};
 
export default ExampleLabelComponent;

Here is an example of how to use the Predictron component from the Inputron package:

"use client";
import { Predictron } from "@revivesoft/inputron";
import React, { useState } from 'react';
 
const ExamplePredictronComponent = () => {
  const [comments, setComments] = useState('');
 
  const handleChange = (value) => {
    setComments(value);
  };
 
  return (
    <Predictron
      name='comments'
      onChange={handleChange}
    />
  );
};
 
export default ExamplePredictronComponent;

Here is an example of how to use the Selectron component from the Inputron package:

"use client";
import { Selectron } from "@revivesoft/inputron";
import React from 'react';
 
const ExampleSelectronComponent = () => {
  return (
    <Selectron
      style=""
      title="Cool places"
      prompt="5 beaches in miami"
    />
  );
};
 
export default ExampleSelectronComponent;

Demonstration

For live examples, please visit our demonstration site

LabelTron