update QAQuery

app.py

@@ -1374,14 +1374,19 @@ def CreatDb_P():
 
 def QAQuery_p(question: str):
     global vectordb_p
+    global agent
     # vectordb = Chroma(persist_directory='db', embedding_function=embeddings)
     retriever = vectordb_p.as_retriever()
     retriever.search_kwargs['k'] = int(os.environ["search_kwargs_k"])
     # retriever.search_kwargs['fetch_k'] = 100
-
-    qa = RetrievalQA.from_chain_type(llm=chat, chain_type="stuff", 
-                                     retriever=retriever, return_source_documents = True,
-                                     verbose = True)
+    if agent == agent_ZEROSHOT_REACT_2:
+        qa = RetrievalQA.from_chain_type(llm=GPTfake, chain_type="stuff", 
+                                        retriever=retriever, return_source_documents = True,
+                                        verbose = True)
+    else:
+        qa = RetrievalQA.from_chain_type(llm=chat, chain_type="stuff", 
+                                        retriever=retriever, return_source_documents = True,
+                                        verbose = True)
     # qa = VectorDBQA.from_chain_type(llm=chat, chain_type="stuff", vectorstore=vectordb, return_source_documents=True)
     # res = qa.run(question)
     res = qa({"query": question})