Update README.md

README.md

@@ -1,12 +1,20 @@
 ---
-title: Embedding Atlas
-emoji: 🌍
-colorFrom: pink
-colorTo: indigo
+title: Embedding Atlas Explorer
+emoji: 🗺️
+colorFrom: blue
+colorTo: green
 sdk: gradio
-sdk_version: 5.42.0
+sdk_version: 5.30.0
 app_file: app.py
-pinned: false
+pinned: true
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Embedding Atlas Explorer
+
+This Space allows you to visualize any text-based dataset from the Hugging Face Hub using [Apple's Embedding Atlas](https://github.com/apple/embedding-atlas).
+
+## How it works:
+1.  **Load Data**: Enter the name of a dataset from the Hub, specify the text column, and choose a sample size.
+2.  **Generate Embeddings**: The backend uses a Sentence Transformer model to convert the text into numerical vectors (embeddings).
+3.  **Reduce Dimensions**: UMAP is used to project the high-dimensional embeddings down to a 2D map for visualization.
+4.  **Explore**: The interactive Atlas UI is displayed, allowing you to pan, zoom, select points, and explore the structure of your text data.