Create run.py

run.py

@@ -0,0 +1,9 @@
+if __name__ == "__main__":
+    import dataset
+    from renumics import spotlight
+
+    dataset = datasets.load_dataset("renumics/cifar100-enriched", split="train")
+    
+    df = dataset.to_pandas()
+    df_show = df.drop(columns=['embedding', 'probabilities'])
+    spotlight.show(df_show, port=7860, host="0.0.0.0", dtype={"image": spotlight.Image, "embedding_reduced": spotlight.Embedding})