Update app.py

app.py

@@ -3,8 +3,8 @@ import pandas as pd
 from sklearn.metrics.pairwise import cosine_similarity
 
 # Load embeddings and metadata
-embeddings = np.load("netflix_embeddings.npy") 
-metadata = pd.read_csv("netflix_metadata.csv")
+embeddings = np.load("netflix_embeddings.npy")  #created using sentence_transformers on kaggle
+metadata = pd.read_csv("netflix_metadata.csv") #created using sentence_transformers on kaggle
 
 # Vector search function
 def vector_search(query, model):