Update app.py

app.py

@@ -46,12 +46,10 @@ for sent in context.split("."):
     sentence_count.append(len(sentences))
     for _,s in enumerate(sentences):
         corpus.append(s)
-        
-        
-        
-corpus_embeddings = np.load('task_embeddings_updated_msmarco-distilbert-base-v4.npy')
-
 
+corpus_embeddings = model.encode(corpus)
+np.save('saved_embeddings.npy', corpus_embeddings)
+corpus_embeddings = np.load('saved_embeddings.npy')
 
 def find_sentences(query):
     query_embedding = model.encode(query)