Update app.py

app.py

@@ -165,7 +165,7 @@ async def chat(query,history,sources,reports,subtype,year):
     question_lst= [query]
     for question in question_lst:
         retriever = vectorstore.as_retriever(
-          search_type="similarity_score_threshold", search_kwargs={"score_threshold": 0.6, "k": int(config.get('retriever','TOP_K')), "filter":filter})
+          search_type="similarity_score_threshold", search_kwargs={"score_threshold": 0.6, "k": int(model_config.get('retriever','TOP_K')), "filter":filter})
         
         context_retrieved = retriever.invoke(question)
         print(len(context_retrieved))
@@ -211,7 +211,7 @@ async def chat(query,history,sources,reports,subtype,year):
     # llama-3 endpoint = https://nhe9phsr2zhs0e36.eu-west-1.aws.endpoints.huggingface.cloud
     #callbacks = [StreamingStdOutCallbackHandler()]
     llm_qa = HuggingFaceEndpoint(
-        endpoint_url="https://howaqfw0lpap12sg.us-east-1.aws.endpoints.huggingface.cloud",
+        endpoint_url= model_config.get('reader','ENDPOINT'),
         max_new_tokens=1024,
         huggingfacehub_api_token=HF_token,)