Prediction

prediction is a lightweight TypeScript library that provides search suggestions similar to Google's autocomplete feature. It helps improve user experience by suggesting relevant search queries as the user types.

Installation

To install the package, use npm:

npm install prediction_list

Usage

Here's a basic example of how to use the prediction library in a React application:

import React, { useState } from 'react';
import Prediction from 'prediction';

function SearchComponent() {
    const [query, setQuery] = useState('');
    const [suggestions, setSuggestions] = useState([]);

    const handleInputChange = async (event) => {
        const userInput = event.target.value;
        setQuery(userInput);
        
        if (userInput.length > 2) {
            const results = await Prediction.getSuggestions(userInput);
            setSuggestions(results);
        } else {
            setSuggestions([]);
        }
    };

    return (
        <div>
            <input 
                type="text" 
                value={query} 
                onChange={handleInputChange} 
                placeholder="Search..."
            />
            <ul>
                {suggestions.map((suggestion, index) => (
                    <li key={index}>{suggestion}</li>
                ))}
            </ul>
        </div>
    );
}

export default SearchComponent;

Features

• Real-time Suggestions: Provides real-time search suggestions as the user types.
• Customizable: Easy to integrate and customize according to your needs.
• Lightweight: Minimal impact on your application's performance.

API Reference

Prediction.getSuggestions(query)

Fetches search suggestions based on the user's input.

Parameters:

• query (string): The input string for which suggestions are to be fetched. Returns:
• Promise<Array<string>>: A promise that resolves to an array of suggested search queries.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

See contributing.md for ways to get started.

Please adhere to this project's code of conduct.

License

This project is licensed under the MIT License.

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Feedback

If you have any feedback, please reach out to us at [email protected]

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Hi, I'm Sahil Kapadia! 👋

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