Refactor search group label for clarity and update heatmap zmin value for improved visualization accuracy.

Refactor heatmap event handling to update x-axis labels for clarity and ensure heatmap is plotted after processing search group logic.

Enhance heatmap event handling by incorporating search group functionality, allowing users to specify a search group for improved similarity calculations and visualization in the heatmap.

Enhance comments in heatmap_event.js for clarity on functionality and processing steps, including text reordering for cluster visualization.

Refactor heatmap event handling by modularizing utility functions and improving code organization; update index.html to enhance user input sections.

Enhance heatmap event handling by ensuring all groups are displayed, including empty ones, and maintaining consistent order in the similarity matrix and cluster names.

Refactor control group layout in index.html for improved styling and organization of clustering options and search mode selection.

Implement event handler functions for heatmap, K-Means, cluster plot, and naming events; refactor main.js to use these handlers.

Refactor README.md to enhance feature descriptions and improve usage instructions for clarity and consistency.

Add search cluster sorting mode; implement dropdown for selecting sorting criteria in heatmap functionality.

Enhance heatmap button functionality; add progress bar updates to indicate processing stages.

Update button labels for clarity; change 'Naming Cluster' to 'Generate Name' and 'Similarity Heatmap' to 'Similarity'.

Add cluster plot functionality; implement event handler for cluster plot button and update textarea with cluster names.

Enhance heatmap functionality; reorder clusters based on similarity to search cluster and update axis labels accordingly.

Enhance cluster naming functionality; store traces globally for UMAP scatter plot updates and ensure proper legend updates with new cluster names.

Update page title and enhance cluster naming functionality; change title to "Text Embedding Playground" and implement cluster naming button with progress indication.

Refactor heatmap and scatter plot functions; remove scaleanchor and scaleratio properties from y-axis for improved layout consistency.

Update beta label and input precision for balanced K-Means; clarify description and adjust step value for better accuracy.

Refactor balanced K-Means implementation; update beta parameter default value, handle empty embeddings, and ensure proper centroid updates. Enhance UI to include beta input and adjust event handler to read beta value for clustering.

Implement balanced K-Means clustering; add new clustering type option in UI and update event handler to support balanced K-Means functionality.

Enhance cluster naming and K-Means functionality; implement random selection for cluster names, improve centroid initialization, and adjust UMAP parameters for better projection accuracy.

Update UMAP configuration to improve clustering accuracy by adjusting minDist and adding metric parameter

Rename heatmap button ID for consistency and update event handler references in main.js

Refactor K-Means clustering implementation; modularize embedding and clustering logic, enhance heatmap and scatter plot functions, and improve cluster naming process.

Refactor K-Means clustering code for improved readability and performance; streamline cluster name generation and enhance progress bar updates

Refactor K-Means input handling to exclude cluster header lines and adjust heatmap margin settings for improved layout

Add cluster name extraction for heatmap axis labels in K-Means clustering

Reduce K-Means iteration count from 200 to 100; adjust UMAP neighbor calculation for improved clustering performance

Enhance K-Means clustering functionality by refining input handling and increasing iteration count; update output format to include cluster names as headers.

Refine prompt cluster output examples for clarity and consistency in summarization

Add prompt cluster logic for summarizing multiple sentences into concise phrases

Update K-Means input range and enhance cluster name extraction logic for improved accuracy

Initialize textarea with random sentences and update K-Means clustering message format for improved clarity

Refine cluster name extraction in K-Means implementation to handle special tokens and improve naming accuracy

Update initial input values in textarea and enhance K-Means clustering visualization with improved plot width and legend positioning

Add initial scatter plot with placeholder names for K-Means clustering results

move to main

Update K-Means clustering implementation to utilize new tokenizer and model for enhanced text generation and reasoning capabilities

Enhance K-Means clustering visualization by increasing scatter plot width to improve clarity

Add progress bar for K-Means clustering and enhance cluster naming functionality

Update README.md to improve clarity and enhance K-Means clustering instructions

Refactor index.html layout for clarity and update K-Means clustering functionality to enhance user experience

Fix README short description capitalization and enhance index.html layout for K-Means clustering visualization

Update README.md

Update README and index.html for embedding playground functionality and usage instructions

initial commit

Duplicate from static-templates/transformers.js