Update app.py

app.py

@@ -48,8 +48,9 @@ print("groq_api_key: ", groq_api_key)
 # st.title("Chat with Docs - Groq Edition :) ")
 st.title("NonToxicGlazeAdvisor: A tool for getting advice on non-toxic ceramic glazes for earthenware temperature ranges.")
 st.title("Victor Benchuijsen  : (Glaze techniques / Ceramics)")
-st.title("Jan Bours           : Artificial Intelligence / Data Science / Natural Language Processing")
-st.title("Chat with Docs - Groq Edition (Very Fast!) - VERSION 1 - March 18, 2024")
+st.title("Jan Bours           : Artificial Intelligence / Data Science / Natural Language Processing (ALL RIGHTS RESERVED)")
+st.title("  ")
+st.title("Chat with Docs - Using AI: 'mixtral-8x7b-32768' Groq Edition (Very Fast!) - VERSION 1 - March 18, 2024")
 
 st.write("---------------------------------")
 
@@ -138,12 +139,12 @@ if "vector" not in st.session_state:
     st.session_state.vector = FAISS.from_documents(st.session_state.documents, st.session_state.embeddings) # ORIGINAL
     
     # st.session_state.vector = FAISS.from_documents(st.session_state.documents, st.session_state.embeddings) # ORIGINAL
-    st.session_state.vector.save_local("faiss_index")
+    #st.session_state.vector.save_local("faiss_index")
     # The de-serialization relies loading a pickle file. 
     # Pickle files can be modified to deliver a malicious payload that results in execution of arbitrary code on your machine.
     # You will need to set `allow_dangerous_deserialization` to `True` to enable deserialization. If you do this, make sure that you trust the source of the data.
     
-    st.session_state.vector = FAISS.load_local("faiss_index", st.session_state.embeddings, allow_dangerous_deserialization=True)
+    #st.session_state.vector = FAISS.load_local("faiss_index", st.session_state.embeddings, allow_dangerous_deserialization=True)
     
     # ZIE: 
     # ZIE VOOR EEN APP MET CHROMADB: