palm-nlp-toolkit v1.0.0

palm_toolkit

palm_toolkit is a JavaScript module that simplifies various text-related tasks using the Google's PaLM API. This toolkit includes functions for text generation, translation, summarization, sentiment analysis, question answering, and text classification.

Installation

To use PaLM_NLP_Toolkit in your JavaScript project, you can install it using npm:

npm install palmnlptoolkit

Usage

const palm_toolkit = require('palm_toolkit');

// Example 1: Translate Text
const translatedText = await palm_toolkit.translateText('Hello, world!', 'English', 'French');

// Example 2: Summarize Text
const summary = await palm_toolkit.summarizeText('A long piece of text...', 2);

// Example 3: Analyze Sentiment
const sentimentScore = await palm_toolkit.analyzeSentiment('I am feeling great today!');

// Example 4: Answer Question
const answer = await palm_toolkit.answerQuestion('What is the capital of France?', 'Paris is the capital of France.');

// Example 5: Classify Text
const categories = await palm_toolkit.classifyText('This is a news article about technology.');

console.log('Translated Text:', translatedText);
console.log('Summary:', summary);
console.log('Sentiment Score:', sentimentScore);
console.log('Answer:', answer);
console.log('Categories:', categories);

API Reference

translateText(textToTranslate, sourceLanguage, targetLanguage)

Translates text from one language to another.

• textToTranslate (string): The text to translate.
• sourceLanguage (string): The source language of the text.
• targetLanguage (string): The target language for translation.
• Returns: A Promise that resolves to the translated text.

summarizeText(inputText, summaryLength)

Summarizes input text into a specified number of sentences.

• inputText (string): The input text to summarize.
• summaryLength (number): The number of sentences the summary should contain.
• Returns: A Promise that resolves to the summarized text.

analyzeSentiment(textToAnalyze)

Analyzes the sentiment of input text and provides a sentiment analysis rating.

• textToAnalyze (string): The text whose sentiment needs to be analyzed.
• Returns: A Promise that resolves to the sentiment analysis rating.

answerQuestion(question, contextText)

Answers a question based on context and question text.

• question (string): The question to be answered.
• contextText (string): The context text that provides information for answering the question.
• Returns: A Promise that resolves to the text response.

classifyText(textToClassify)

Classifies input text into predefined categories.

• textToClassify (string): The text to be classified.
• Returns: A Promise that resolves to a comma-separated plain text list of categories.

Configuration

Before using the palm_toolkit, make sure to set your API key in the .env file:

PALM_API_KEY=YOUR_API_KEY

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

• Built using the Google's PaLM API.

Author

• 401-Nick