Update app.py

app.py

@@ -11,6 +11,8 @@ from langchain_openai import ChatOpenAI
 from langchain.memory import ConversationBufferMemory
 from langchain.chains import ConversationalRetrievalChain
 
+import time
+
 def getpdfdoc():
     with st.spinner("Loading PDF..."):
         filename = '48lawsofpower.pdf'
@@ -102,6 +104,8 @@ def main():
         if os.path.isdir("./chroma_db"):
             if os.listdir("./chroma_db"):
                 with st.spinner("Loading vector store..."):
+                    st.markown("VectorStore is readable")
+                    time.sleep(10)
                     vectorstore = Chroma(persist_directory="./chroma_db", embedding_function=OpenAIEmbeddings())
                     st.session_state.conversation = get_conversation_chain(vectorstore)
             else: