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'
@@ -51,6 +53,8 @@ def get_text_chunks(text):
 
 def get_vectorstore(text_chunks):
     with st.spinner("Creating vectorstore..."):
+        st.markdown("Creating vector store")
+        time.sleep(10)
         metadatas = [{"source": f"{i}-pl"} for i in range(len(text_chunks))]
         embeddings = OpenAIEmbeddings()
         vectorstore = Chroma.from_texts(texts=text_chunks, embedding=embeddings, persist_directory="./data/vectorstore", metadatas=metadatas)