Update README.md

README.md

@@ -94,7 +94,7 @@ Start exploring with a simple view that leverages embeddings to identify relevan
 from renumics import spotlight
 
 df = dataset.to_pandas()
-spotlight.show(df, dtype={'audio': spotlight.Audio, "ast-finetuned-audioset-10-10-0.4593-embeddings": spotlight.Embedding}, layout=ds_builder.config.get_layout(config="standard"))
+spotlight.show(df, dtype={'path': spotlight.Audio, "embeddings_ast-finetuned-audioset-10-10-0.4593": spotlight.Embedding})
 ```
 You can use the UI to interactively configure the view on the data. Depending on the concrete taks (e.g. model comparison, debugging, outlier detection) you might want to leverage different enrichments and metadata.
 
@@ -105,7 +105,8 @@ This example shows a view that is suitable to compare the results of two differe
 from renumics import spotlight
 
 df = dataset.to_pandas()
-spotlight.show(df, dtype={'audio': spotlight.Audio, "ast-finetuned-audioset-10-10-0.4593-embeddings": spotlight.Embedding}, layout=ds_builder.config.get_layout(config="standard"))
+# spotlight.show(df, dtype={'audio': spotlight.Audio, "ast-finetuned-audioset-10-10-0.4593-embeddings": spotlight.Embedding}, layout=ds_builder.config.get_layout(config="standard"))
+# todo
 ```
 
 ## Using custom model results and enrichments