Update app.py

app.py

@@ -57,7 +57,7 @@ embedding_cache_path = 'etsy-embeddings-cpu.pkl'
 print("Load pre-computed embeddings from disc")
 with open(embedding_cache_path, "rb") as fIn:
   cache_data = pickle.load(fIn)
-  corpus_sentences = cache_data['sentences']
+  #corpus_sentences = cache_data['sentences']
   corpus_embeddings = cache_data['embeddings']
 
 # This function will search all wikipedia articles for passages that