Update app.py

app.py

@@ -8,8 +8,7 @@ import os
 import faiss
 
 # Set up SentenceTransformer
-model = SentenceTransformer('all-mpnet-base-v2')
-
+model = SentenceTransformer('paraphrase-MiniLM-L6-v2')
 
 
 playlist_id = 'PLD4EAA8F8C9148A1B'
@@ -53,8 +52,7 @@ for video_id in video_ids:
 sentence_embeddings = model.encode(transcripts)
 
 # Set up FAISS
-index = faiss.IndexFlatL2(768)  # Create an index with L2 distance
-
+index = faiss.IndexFlatL2(384)
 # Convert list of embeddings to NumPy array
 sentence_embeddings = np.array(sentence_embeddings)