Update app.py

app.py

@@ -35,9 +35,9 @@ def question_answering(question):
     print(question)
     query_sentence = [question]
     query_embedding = st.session_state.model_embedding.encode(query_sentence)
-    k = 500
+    k = 100
     D, I = index_loaded.search(query_embedding.astype('float32'), k)  # D is distances, I is indices
-    answer = [question_answerer(question=query_sentence[0], context=articles[I[0][i]], max_answer_len = 256) for i in range(k)]
+    answer = [question_answerer(question=query_sentence[0], context=articles[I[0][i]], max_answer_len = 512) for i in range(k)]
     best_answer = max(answer, key=lambda x: x['score'])
     print(best_answer['answer'])
     if best_answer['score'] > 0.5: