Update app.py

app.py

@@ -197,14 +197,14 @@ chain = ConversationChain(
     verbose=True,
 )
 
-!pip install langchain==0.0.233
+
 from langchain.chains.conversation.memory import ConversationBufferWindowMemory
 def get_llama_response(message: str, history: list) -> str:
   query_text = message
 
   results = db.similarity_search_with_relevance_scores(query_text, k=3)
   if len(results) == 0 or results[0][1] < 0.5:
-      print(f"Unable to find matching results.")
+      print(f"Unable to find matching resultssssssssssssssssssssssss.")
 
 
   context_text = "\n\n---\n\n".join([doc.page_content for doc, _score in results])