Update app.py

app.py

@@ -9,14 +9,14 @@ from auditqa.sample_questions import QUESTIONS
 from auditqa.engine.prompts import audience_prompts
 from auditqa.reports import files, report_list
 from auditqa.doc_process import process_pdf, get_local_qdrant
-from langchain_core.messages import (
+from langchain.schema import (
     HumanMessage,
     SystemMessage,
 )
-from langchain_huggingface import ChatHuggingFace
 from langchain_core.output_parsers import StrOutputParser
 from langchain_core.callbacks.streaming_stdout import StreamingStdOutCallbackHandler
-from langchain_huggingface import HuggingFaceEndpoint
+from langchain_community.llms import HuggingFaceEndpoint
+from langchain_community.chat_models.huggingface import ChatHuggingFace
 from qdrant_client.http import models as rest
 #from qdrant_client import QdrantClient
 from dotenv import load_dotenv
@@ -193,11 +193,12 @@ async def chat(query,history,sources,reports,subtype,year):
 
     # create rag chain
     chat_model = ChatHuggingFace(llm=llm_qa)
+    
     ###-------------------------- get answers ---------------------------------------
     answer_lst = []
     for question, context in zip(question_lst , context_retrieved_lst):
         answer = chat_model.invoke(messages)
-        answer_lst.append(answer)
+        answer_lst.append(answer.content)
     docs_html = []
     for i, d in enumerate(context_retrieved, 1):
         docs_html.append(make_html_source(d, i))