Upload app.py

app.py

@@ -73,9 +73,9 @@ def create_conversational_chain(vector_store):
     #     input = {"temperature": 0.01, "max_length" :500,"top_p":1})
     llm = GooglePalm(
         streaming = True,
-        model = "google/flan-t5-large", #" models/text-bison-001"
+        model = "models/text-bison-001", #" "google/flan-t5-large"
         callbacks=[StreamingStdOutCallbackHandler()],
-        input = {"temperature": 0.07, "max_length" :1024,"top_p":0.95})
+        input = {"temperature": 0.07, "max_length" :800,"top_p":0.95})
     memory = ConversationBufferMemory(memory_key="chat_history", return_messages=True)
 
     chain = ConversationalRetrievalChain.from_llm(llm=llm, chain_type='stuff',