add cryptography

app.py

@@ -45,20 +45,9 @@ qa_chain = ConversationalRetrievalChain.from_llm(
 )
 
 def predict(message, history):
-    # Convert the history into LangChain format
-    history_langchain_format = []
-    for human, ai in history:
-        history_langchain_format.append(HumanMessage(content=human))
-        history_langchain_format.append(AIMessage(content=ai))
-
-    # Add the current user message
-    history_langchain_format.append(HumanMessage(content=message))
-
     # Get a response from the Conversational Retrieval Chain
     response = qa_chain.run(question=message)
 
-    print(response)
-
     # Extract and return the content of the response
     return response  # or modify as needed based on the response structure
 

requirements.txt

@@ -3,4 +3,5 @@ openai
 langchain
 chromadb
 pypdf
-tiktoken
+tiktoken
+cryptography