forked from Mirror/ollama4j
		
	Updated docs
This commit is contained in:
		@@ -3,37 +3,104 @@ import Heading from '@theme/Heading';
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import styles from './styles.module.css';
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const FeatureList = [
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  {
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    title: 'Easy LLM Integration',
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    Svg: require('@site/static/img/undraw_docusaurus_mountain.svg').default,
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    description: (
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      <>
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        Easy integration with Ollama, enabling the execution of large language models locally.
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      </>
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    ),
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  },
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  {
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    title: 'Developer-Friendly',
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    Svg: require('@site/static/img/undraw_docusaurus_tree.svg').default,
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    description: (
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      <>
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        Clean and simple <code>APIs</code>, focused on seamless interaction with Ollama.
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        Provides clean and simple <code>APIs</code> for interacting with Ollama, including model management, chat functionalities, and authentication capability when Ollama is deployed behind proxy server.
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      </>
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    ),
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  },
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  {
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    title: 'Powered by Java',
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    title: 'Chat with Images',
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    Svg: require('@site/static/img/undraw_docusaurus_mountain.svg').default,
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    description: (
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      <>
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        Supports interactions with vision/image models, allowing you to build applications that can understand and respond to visual content.  Upload images directly into your chat sessions and receive intelligent, context-aware replies.
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      </>
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    ),
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  },
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  {
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    title: 'Tools Support',
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    Svg: require('@site/static/img/undraw_docusaurus_react.svg').default,
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    description: (
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      <>
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        Empowers Java developers to harness the full capabilities of Ollama.
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        Supports tool/function calling with tool calling models such as mistral, llama3.x, qwen, etc. Empower your models to interact with external services and data sources, enabling more complex and dynamic AI workflows.
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      </>
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    ),
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  },
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];
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const UsageList = [
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  {
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    title: 'Datafaker',
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    Svg: require('@site/static/img/datafaker.svg').default,
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    link: 'https://www.datafaker.net/',
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    description: (
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      <>
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        A powerful fake data generation library designed for JVM programs, offering over 200 data providers to easily create realistic and diverse datasets within minutes.
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      </>
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    ),
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    imageSize: '20%',
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  },
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  {
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    title: 'Katie',
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    Svg: require('@site/static/img/katie_logo_v3.svg').default,
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    link: 'https://katie.qa/home',
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    description: (
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      <>
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        An Open Source AI-based question-answering platform that helps companies and organizations make their private domain knowledge accessible and useful to their employees and customers.
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      </>
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    ),
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    imageSize: '30%',
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  },
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  {
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    title: 'AI Player',
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    Svg: require('@site/static/img/ai-player.svg').default,
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    link: 'https://modrinth.com/mod/ai-player',
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    description: (
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      <>
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        A minecraft mod which aims to add a "second player" into the game which will actually be intelligent.
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      </>
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    ),
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    imageSize: '15%',
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  },
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  {
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    title: 'Ollama Translator Plugin',
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    Svg: require('@site/static/img/minecraft-spigot.svg').default,
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    link: 'https://github.com/liebki/ollama-translator',
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    description: (
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      <>
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        A minecraft 1.21 spigot plugin allows to easily break language barriers by using ollama on the server to translate all messages into a specfic target language.
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      </>
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    ),
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    imageSize: '20%',
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  },
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  {
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    title: 'JnsCLI',
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    Svg: require('@site/static/img/jnscli.svg').default,
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    link: 'https://github.com/mirum8/jnscli',
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    description: (
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      <>
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        JnsCLI is a command-line tool for Jenkins, allowing you to manage jobs, builds, and configurations directly from the terminal. It also features AI-powered error analysis for quick troubleshooting.
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      </>
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    ),
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    imageSize: '20%',
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  },
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  {
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    title: 'Featured in a Research Article on AI-Assisted Code Optimization',
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    Svg: require('@site/static/img/pmc-logo.svg').default,
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    link: 'https://pmc.ncbi.nlm.nih.gov/articles/PMC11750896/',
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    description: (
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      <>
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        Ollama4j was used in a research article – “Large Language Model Based Mutations in Genetic Improvement” (PubMed Central).
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      </>
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    ),
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    imageSize: '50%',
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  },
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];
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function Feature({Svg, title, description}) {
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function Feature({ Svg, title, description }) {
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  return (
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    <div className={clsx('col col--4')}>
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      <div className="text--center">
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@@ -47,16 +114,53 @@ function Feature({Svg, title, description}) {
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  );
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}
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export default function HomepageFeatures() {
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function Usage({ Svg, title, description, link, imageSize }) {
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  return (
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    <section className={styles.features}>
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      <div className="container">
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        <div className="row">
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          {FeatureList.map((props, idx) => (
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            <Feature key={idx} {...props} />
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          ))}
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        </div>
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    <div className={clsx('col col--4')}>
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      <div className="text--center">
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        <Svg className={styles.featureSvg} role="img" style={{ width: imageSize }} />
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      </div>
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    </section>
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      <div className="text--center padding-horiz--md">
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        <Heading as="h3" style={{ color: 'red' }}>
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          {link ? (
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            <a href={link} target="_blank" rel="noopener noreferrer" style={{ color: '#11bc11' }}>
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              {title}
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            </a>
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          ) : (
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            <span style={{ color: 'red' }}>{title}</span>
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          )}
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        </Heading>
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        <p>{description}</p>
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      </div>
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    </div>
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  );
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}
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export default function HomepageFeatures() {
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  return (
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    <>
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      <section className={styles.features}>
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        <div className="container">
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          <div className="row">
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            {FeatureList.map((props, idx) => (
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              <Feature key={idx} {...props} />
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            ))}
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          </div>
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        </div>
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      </section>
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      <hr />
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      <section className={styles.features}>
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        <div className="container">
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          <div style={{ fontSize: '20px', fontWeight: 'bold', display: 'flex', flexDirection: 'column', alignItems: 'center' }}>
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            Check out who's using Ollama4j
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          </div>
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          <div className="row">
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            {UsageList.map((props, idx) => (
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              <Usage key={idx} {...props} />
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            ))}
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          </div>
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        </div>
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      </section>
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    </>
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  );
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}
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@@ -1,6 +1,6 @@
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import React, { useState, useEffect } from 'react';
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const LatestRelease = () => {
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const LatestRelease = ({ showReleaseDate }) => {
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    const [releaseInfo, setReleaseInfo] = useState(null);
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    const [loading, setLoading] = useState(true);
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    const [error, setError] = useState(null);
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@@ -37,7 +37,8 @@ const LatestRelease = () => {
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                <div>
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                    {/* <h4 style={{ display: 'flex', justifyContent: 'center'}}>Latest Release</h4> */}
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                    <div>
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                        <span style={{ fontWeight: 'bold'}}>Latest Version</span>: <a href={releaseInfo.html_url} target='_blank' rel="noopener noreferrer"><span style={{color: 'white', fontWeight: 'bold', backgroundColor:'#11bc11', borderRadius: '15px', padding: '5px'}}>{releaseInfo.name}</span></a> released on {new Date(releaseInfo.published_at).toLocaleDateString(undefined, { year: 'numeric', month: 'long', day: 'numeric' })}.
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                        <span style={{ fontWeight: 'bold'}}>Latest Version</span>: <a href={releaseInfo.html_url} target='_blank' rel="noopener noreferrer"><span style={{color: 'white', fontWeight: 'bold', backgroundColor:'#11bc11', borderRadius: '15px', padding: '5px'}}>{releaseInfo.name}</span></a>
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                        {showReleaseDate && ` released on ${new Date(releaseInfo.published_at).toLocaleDateString(undefined, { year: 'numeric', month: 'long', day: 'numeric' })}`}
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                    </div>
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                    {/* <pre style={{ whiteSpace: 'pre-wrap' }}>
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                        {JSON.stringify(releaseInfo, null, 2)}
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