Update app.py

app.py

@@ -46,12 +46,12 @@ async def answer_question(request: AnswerQuestionRequest):
         query_embeddings = model.encode(request.question, convert_to_tensor=True)
         hits = util.semantic_search(query_embeddings, corpus_embeddings)
         for hit in hits[0]:
-            if hit['score'] > .5:
+            if hit['score'] > .4:
                 loc = hit['corpus_id']
                 res_locs.append(request.locations[loc])
                 context_string += request.context[loc] + ' '
         if len(res_locs) == 0:
-            ans = "Sorry, I couldn't find any results for your query."
+            ans = "Sorry, I couldn't find any results for your query. Please try again!"
         else:
             QA_input = {
                 'question': request.question,