Update app.py

app.py

@@ -6,8 +6,8 @@ from llama_index.llm_predictor.chatgpt import ChatGPTLLMPredictor
 
 index_name = "./kion.json"
 documents_folder = "./documents"
-
-@st.cache_resource
+#@st.experimental_memo
+#@st.cache_resource
 def initialize_index(index_name, documents_folder):
     #llm_predictor = ChatGPTLLMPredictor()
     llm_predictor = LLMPredictor(llm=ChatOpenAI(temperature=0, model_name="gpt-3.5-turbo")) #	text-davinci-003"))
@@ -22,8 +22,8 @@ def initialize_index(index_name, documents_folder):
 
     return index
 
-
-@st.cache_data(max_entries=200, persist=True)
+#@st.experimental_memo
+#@st.cache_data(max_entries=200, persist=True)
 def query_index(_index, query_text):
     response = _index.query(query_text)
     return str(response)
@@ -43,7 +43,7 @@ if api_key:
 if index is None:
     st.warning("Please enter your api key first.")
 
-text = st.text_input("Query text:", value="What type of tyres uses the N20?")
+text = st.text_input("Query text:", value="What type of tires sizes, front, rear the R20 uses?")
 
 if st.button("Run Query") and text is not None:
     response = query_index(index, "Act as a KION equipment expert:" + text)