### Start K-Batch Web UI

Source: https://github.com/jparkerweb/k-batch/blob/main/README.md

Instructions to install dependencies and start the K-Batch web UI locally. This involves navigating to the webui directory, installing Node.js packages, and running the start script.

```bash
cd webui
npm install
npm start
```

--------------------------------

### Start Web UI Development Server (npm)

Source: https://github.com/jparkerweb/k-batch/blob/main/webui/README.md

Starts the local development server for the K-Batch Sentence Tester Web UI. This command will typically open the UI in your default web browser.

```bash
npm start
```

--------------------------------

### Install Dependencies (npm)

Source: https://github.com/jparkerweb/k-batch/blob/main/webui/README.md

Installs the necessary project dependencies using npm. This command should be run after navigating to the 'webui' directory.

```bash
cd webui
npm install
```

--------------------------------

### Install K-Batch using npm

Source: https://github.com/jparkerweb/k-batch/blob/main/README.md

This command installs the k-batch library using npm, making it available for use in your Node.js project. Ensure you have Node.js and npm installed.

```bash
npm install k-batch
```

--------------------------------

### Quick Start: Batching and Analyzing Sentences with K-Batch

Source: https://github.com/jparkerweb/k-batch/blob/main/README.md

Demonstrates the basic usage of K-Batch. It shows how to import the `kBatchSentences` and `analyzeKBatches` functions, process an array of sentences into optimized batches, and then analyze the statistics of these batches.

```javascript
import { kBatchSentences, analyzeKBatches } from 'k-batch';

const sentences = [
  "This is a short sentence.",
  "A significantly longer sentence that should be in a different batch.",
  "Tiny.",
  "Here is another medium-length sentence.",
  "One more sentence to make it interesting.",
  "And another one to round out the collection.",
  "Make it interesting.",
  "And another one to round out the collection.",
  "wow, this is short.",
  "Who?",
  // ... more sentences
];

// Get optimally batched sentences
const batches = await kBatchSentences(sentences);

// Use your batches
batches.forEach((batch, index) => {
  console.log(`Batch ${index + 1}: ${batch.length} sentences`);
  console.log(batch);
  // Process each batch...
});

// Get detailed statistics about your batches
const stats = await analyzeKBatches(batches);
console.log(stats);
```

--------------------------------

### Advanced Usage: Customizing K-Batch Parameters

Source: https://github.com/jparkerweb/k-batch/blob/main/README.md

Illustrates how to customize the behavior of `kBatchSentences` by providing an options object. This allows control over `maxBatches`, `minSentencesPerBatch`, `minSentencesRequired`, and `maxIterations` for tailored batching.

```javascript
import { kBatchSentences } from 'k-batch';

const sentences = [/* your sentences */];

const batches = await kBatchSentences(sentences, {
  maxBatches: 3,
  minSentencesPerBatch: 5,
  minSentencesRequired: 15,
  maxIterations: 50
});
```

--------------------------------

### Advanced Usage: Analyzing Batch Statistics with K-Batch

Source: https://github.com/jparkerweb/k-batch/blob/main/README.md

Shows how to obtain detailed statistics for the generated batches using the `analyzeKBatches` function. The statistics include sentence count, longest and shortest sentence lengths, average length, and standard deviation for each batch.

```javascript
import { kBatchSentences, analyzeKBatches } from 'k-batch';

const sentences = [/* your sentences */];
const batches = await kBatchSentences(sentences);

// Get detailed statistics about your batches
const stats = await analyzeKBatches(batches);
console.log(stats);
/* Output:
[
  {
    count: 11,
    longestLength: 39,
    shortestLength: 5,
    averageLength: 24.09,
    standardDeviation: 9.87
  },
  // ... stats for other batches
]
*/
```

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