Enhance README with example visualization and add batch size option for GPU processing

README.md

@@ -5,7 +5,9 @@ tags: [uv-script]
 
 # 🗺️ Atlas Export - One-Click Embedding Visualizations
 
-Generate and deploy interactive embedding visualizations to HuggingFace Spaces with a single command.
+Generate and deploy interactive embedding visualizations to HuggingFace Spaces with a single command using Apple's [Embedding Atlas](https://github.com/apple/embedding-atlas) library!
+
+![Example Visualization](https://huggingface.co/datasets/huggingface/documentation-images/resolve/58e8cf44ec5d74712775b7049b1203f9b0b15ebb/hub/atlas-dataset-library-screenshot.png)
 
 ## Quick Start
 
@@ -17,6 +19,8 @@ uv run atlas-export.py stanfordnlp/imdb --space-name my-imdb-viz
 # https://huggingface.co/spaces/YOUR_USERNAME/my-imdb-viz
 ```
 
+**⚠️ Note:** Currently this approach is limited by storage capacity for files on Spaces so for big datasets consider using the `--sample` option to limit the number of points visualized!
+
 ## Examples
 
 ### Image Datasets
@@ -68,24 +72,35 @@ hf jobs uv run --flavor t4-small \
     --space-name imdb-viz \
     --model sentence-transformers/all-mpnet-base-v2 \
     --sample 10000
+
+# With larger GPU and custom batch size for faster processing
+hf jobs uv run --flavor a10g-large \
+    -s HF_TOKEN=your-token-here \
+    https://huggingface.co/datasets/uv-scripts/build-atlas/raw/main/atlas-export.py \
+    your-dataset \
+    --space-name your-atlas \
+    --batch-size 64 \
+    --sample 50000 \
+    --text-column output
 ```
 
-Note: Replace `your-token-here` with your actual token. Available GPU flavors: `t4-small`, `t4-medium`, `l4x1`, `a10g-small`.
+Note: Replace `your-token-here` with your actual token. Available GPU flavors: `t4-small`, `t4-medium`, `l4x1`, `a10g-small`, `a10g-large`.
 
 ## Key Options
 
-| Option | Description | Default |
-|--------|-------------|---------|
-| `dataset_id` | HuggingFace dataset to visualize | Required |
-| `--space-name` | Name for your Space | Required |
-| `--model` | Embedding model to use | Auto-selected |
-| `--text-column` | Column containing text | "text" |
-| `--image-column` | Column containing images | None |
-| `--sample` | Number of samples to visualize | All |
-| `--split` | Dataset split to use | "train" |
-| `--local-only` | Generate locally without deploying | False |
-| `--output-dir` | Local output directory | Temp dir |
-| `--hf-token` | HuggingFace API token | From env/CLI |
+| Option           | Description                         | Default                |
+| ---------------- | ----------------------------------- | ---------------------- |
+| `dataset_id`     | HuggingFace dataset to visualize    | Required               |
+| `--space-name`   | Name for your Space                 | Required               |
+| `--model`        | Embedding model to use              | Auto-selected          |
+| `--text-column`  | Column containing text              | "text"                 |
+| `--image-column` | Column containing images            | None                   |
+| `--sample`       | Number of samples to visualize      | All                    |
+| `--batch-size`   | Batch size for embedding generation | 32 (text), 16 (images) |
+| `--split`        | Dataset split to use                | "train"                |
+| `--local-only`   | Generate locally without deploying  | False                  |
+| `--output-dir`   | Local output directory              | Temp dir               |
+| `--hf-token`     | HuggingFace API token               | From env/CLI           |
 
 Run without arguments to see all options and more examples.
 
@@ -104,4 +119,4 @@ Built on [Embedding Atlas](https://github.com/apple/embedding-atlas) by Apple. S
 
 ---
 
-Part of the [UV Scripts](https://huggingface.co/uv-scripts) collection 🚀
+Part of the [UV Scripts](https://huggingface.co/uv-scripts) collection 🚀