Upload folder using huggingface_hub

run.py

@@ -91,6 +91,23 @@ if __name__ == "__main__":
         if "embedding" in col and isinstance(ds.features[col], datasets.Sequence):
             dtypes[col] = spotlight.dtypes.embedding_dtype
 
+    layout = spotlight.layout.split(
+        spotlight.layout.split(
+            spotlight.layout.tab(spotlight.layout.table(), weight=4),
+            spotlight.layout.tab(
+                spotlight.layout.similaritymap(),
+                spotlight.layout.scatterplot(),
+                weight=3,
+            ),
+            spotlight.layout.tab(
+                spotlight.layout.histogram(), spotlight.layout.metric(), weight=3
+            ),
+            weight=5,
+        ),
+        spotlight.layout.tab(spotlight.layout.inspector(), weight=3),
+        orientation="vertical",
+    )
+
     if not isinstance(ds, datasets.Dataset):
         raise TypeError(
             f"Loaded Hugging Face dataset is of type {type(ds)} instead of "
@@ -99,5 +116,12 @@ if __name__ == "__main__":
         )
     print(f"Serving Hugging Face dataset {hf_settings}.")
     spotlight.show(
-        ds, host="0.0.0.0", port=7860, wait="forever", dtype=dtypes, analyze=True
+        ds,
+        host="0.0.0.0",
+        port=7860,
+        wait="forever",
+        dtype=dtypes,
+        layout=layout,
+        analyze=True,
+        no_browser=True,
     )