Deploying PDF Version v10

app.py

@@ -13,24 +13,18 @@ logger.debug("Starting application")
 
 from typing import List
 
-from langchain.embeddings.openai import OpenAIEmbeddings
+from langchain.embeddings import OpenAIEmbeddings
 from langchain.text_splitter import RecursiveCharacterTextSplitter
 from langchain.vectorstores import Chroma
-from langchain.chains import (
-    ConversationalRetrievalChain,
-)
+from langchain.chains import ConversationalRetrievalChain
 from langchain.document_loaders import PyPDFLoader
 from langchain.chat_models import ChatOpenAI
-from langchain.prompts.chat import (
-    ChatPromptTemplate,
-    SystemMessagePromptTemplate,
-    HumanMessagePromptTemplate,
-)
-from langchain.docstore.document import Document
+from langchain.prompts import ChatPromptTemplate, SystemMessagePromptTemplate, HumanMessagePromptTemplate
+from langchain.schema import Document
 from langchain.memory import ChatMessageHistory, ConversationBufferMemory
-from chainlit.types import AskFileResponse
 
 import chainlit as cl
+from chainlit.types import AskFileResponse
 
 text_splitter = RecursiveCharacterTextSplitter(chunk_size=1000, chunk_overlap=100)
 
@@ -134,23 +128,21 @@ async def start():
 logger.debug("Defining main function")
 
 @cl.on_message
-async def main(message):
+async def main(message: cl.Message):
     debug_info = f"""
     Debug Info:
     Message type: {type(message)}
     Message: {message}
+    Message content: {message.content}
     Message dir: {dir(message)}
     """
     print(debug_info)
     
     try:
-        # If message is a string, use it directly
-        message_content = message if isinstance(message, str) else message.content
-        
         chain = cl.user_session.get("chain")  # type: ConversationalRetrievalChain
         cb = cl.AsyncLangchainCallbackHandler()
         
-        res = await chain.acall(message_content, callbacks=[cb])
+        res = await chain.acall(message.content, callbacks=[cb])
         answer = res["answer"]
         source_documents = res["source_documents"]  # type: List[Document]
         

requirements.txt

@@ -1,6 +1,6 @@
-langchain==0.0.198
-chromadb==0.3.22
-tiktoken==0.3.3
-pypdf==3.8.1
+llangchain==0.0.252
 chainlit==0.7.700
-openai==0.27.8
+openai==0.27.8
+chromadb==0.3.26
+tiktoken==0.4.0
+pypdf==3.12.1