Update app.py

app.py

@@ -165,7 +165,7 @@ async def chat(query,history,sources,reports,subtype,year):
     question_lst= [query]
     for question in question_lst:
         retriever = vectorstore.as_retriever(
-          search_type="similarity_score_threshold", search_kwargs={"score_threshold": 0.6, "k": int(config.get('retriever','TOP_KEY')), "filter":filter})
+          search_type="similarity_score_threshold", search_kwargs={"score_threshold": 0.6, "k": int(config.get('retriever','TOP_K')), "filter":filter})
         
         context_retrieved = retriever.invoke(question)
         print(len(context_retrieved))