Update app.py

app.py

@@ -312,7 +312,7 @@ def query_embeddings(query_embedding, embeddings_data=None, n_results=5):
 from sklearn.metrics.pairwise import cosine_similarity
 import numpy as np
 
-def query_recipes_embeddings(query_embedding: np.ndarray, n_results: int = 5):
+def query_recipes_embeddings(query_embedding: np.ndarray, n_results = 5):
     """
     Query the recipes embeddings to find the most similar recipes based on cosine similarity.