Spaces:
Sleeping
Sleeping
File size: 939 Bytes
c0f74f5 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 | import os
import sys
project_root = os.path.abspath(os.path.join(os.getcwd(), os.pardir, os.pardir))
sys.path.insert(0, project_root)
from models.llm import get_llm
from langchain_core.prompts import ChatPromptTemplate
def answer_node(state):
question = state["messages"][-1].content
document = state["documents"]
context = "\n\n----\n\n".join([docs.page_content for docs in document])
api_key = state.get("api_key")
if not api_key:
raise ValueError("API Key not found in state.")
model = get_llm(api=api_key)
prompt = ChatPromptTemplate.from_messages([
("system","Your job is to provide a concise answer to the user query from the provided context: {context}"),
("user","{query}")
])
answer_chain = prompt|model
response = answer_chain.invoke({"query":question,"context":context})
return {"messages":[response]} |