Update app.py

app.py

@@ -1,4 +1,4 @@
-
+import streamlit as st
 from langchain.embeddings import HuggingFaceInstructEmbeddings
 from langchain.vectorstores import FAISS
 from langchain.text_splitter import CharacterTextSplitter
@@ -78,13 +78,14 @@ def main():
     folder_path = './PDFs'
     pdf_text = get_pdf_text(folder_path)
     text_chunks = get_text_chunks(pdf_text)
-    #conversation = get_conversation_chain(get_vectorstore())
+    create_vectorstore_and_store(text_chunks)
+    
     retriever=get_vectorstore().as_retriever()
     retrieved_docs=retriever.invoke(
     "Was macht man im Katastrophenfall?"
     )
-    print(retrieved_docs[0].page_content)
-    #create_vectorstore_and_store(text_chunks)      # bei incoming pdf
+    st.text(retrieved_docs[0].page_content)
+          # bei incoming pdf
 
     #vectorstore_DB=get_vectorstore()        # bei Abfrage durch Chatbot
     #print(get_vectorstore().similarity_search_with_score("stelle")) # zeigt an ob Vektordatenbank gefüllt ist