Create app.py

app.py

@@ -0,0 +1,9 @@
+import gradio as gr
+from datasets import load_dataset
+import numpy as np
+
+index = np.load("index/knn_10752_65.npy")
+ds = load_dataset("SDBiaseval/identities", split="train")
+
+def get_nearest_64(ix):
+    return ds.select(index[ix][1:])