only show embeddings

prepare.py

@@ -21,11 +21,6 @@ if __name__ == "__main__":
 
         # df = df[:1000]
 
-        # precalculate umap embeddings
-        df["embedding_ft_precalc"] = umap.UMAP(
-            n_neighbors=70, min_dist=0.5, random_state=42
-        ).fit_transform(df["embedding_ft"].tolist()).tolist()
-        print("Umap for ft done")
 
 
         df["embedding_foundation_precalc"] = umap.UMAP(

run.py

@@ -12,18 +12,15 @@ if __name__ == "__main__":
 
 
         while True:
+            df = df.drop(columns=["embedding_ft", "nn_image"])
             dtypes = {
-                "nn_image": spotlight.Image,
                 "image": spotlight.Image,
-                "embedding_ft": spotlight.Embedding,
                 "embedding_foundation": spotlight.Embedding,
-                "embedding_ft_precalc": spotlight.Embedding,
                 "embedding_foundation_precalc": spotlight.Embedding,
             }
             view = spotlight.show(
                 df,
                 dtype=dtypes,
-                layout="https://spotlight.renumics.com/resources/layout_pre_post_ft_hf.json",
                 port=7860, 
                 host="0.0.0.0",
                 allow_filebrowsing=False