Update app.py

app.py

@@ -45,7 +45,7 @@ async def answer_question(request: AnswerQuestionRequest):
         corpus_embeddings = model.encode(request.context, convert_to_tensor=True)
         query_embeddings = model.encode(request.question, convert_to_tensor=True)
         hits = util.semantic_search(query_embeddings, corpus_embeddings)
-        for hit in hits:
+        for hit in hits[0]:
             if hit['score'] > .5:
                 loc = hit['corpus_id']
                 res_locs.append(request.locations[loc])