Update model.py

model.py

@@ -42,7 +42,7 @@ def generate_answer(model, tokenizer, context, question, max_length=256):
 
 # print(model)
 
-def find_context(pos_sentences,question,model,embedings='similarity_embeddings.npy'):
+def find_context(pos_sentences,question,model,embedings='similarity_embeddings.npz'):
     data = np.load(embedings)
     pos_embeddings = data["embeddings"]
     query_embedding = model.encode(question)