Update app.py

app.py

@@ -77,7 +77,7 @@ terminators = [
 
 def search(query: str, k: int = 3 ):
     """a function that embeds a new query and returns the most probable results"""
-    embedded_query = embedding_model.encode(query) # create embedding of a new query
+    embedded_query = embedding_model.encode([query]) # create embedding of a new query
     scores, retrieved_examples = data.get_nearest_examples( # retrieve results
         "embeddings", embedded_query, # compare our new embedded query with the dataset embeddings
         k=k # get only top k results