Predefined embedding modes in search

load_embedding.py

@@ -0,0 +1,14 @@
+import numpy as np
+import sqlite3
+import base64
+
+#db = sqlite3.connect("/srv/mse/data.sqlite3")
+db = sqlite3.connect("data.sqlite3")
+db.row_factory = sqlite3.Row
+
+name = input("Name: ")
+url = input("Embedding search URL: ")
+data = base64.urlsafe_b64decode(url.removeprefix("https://mse.osmarks.net/?e="))
+arr = np.frombuffer(data, dtype=np.float16).copy()
+db.execute("INSERT OR REPLACE INTO predefined_embeddings VALUES (?, ?)", (name, arr.tobytes()))
+db.commit()