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from langchain_openai import ChatOpenAI
from langchain_core.output_parsers import StrOutputParser
from langchain_core.prompts import ChatPromptTemplate
from dotenv import load_dotenv
import os
load_dotenv()
openai_key = os.getenv(
"OPENAI_API_KEY"
) # may wanna ask user for this or handle error when its not there
# if not openai_key:
# raise ValueError("OpenAI API key not found in environment variables.")
def get_response(user_query, chat_history, context):
template = """
You are a helpful assistant. Answer the following questions considering the background information of the conversation:
Chat History: {chat_history}
Background Information: {context}
User question: {user_question}
"""
llm = ChatOpenAI(api_key=openai_key)
try:
prompt = ChatPromptTemplate.from_template(template)
llm = ChatOpenAI(api_key=openai_key)
chain = prompt | llm | StrOutputParser()
value = chain.stream(
{
"chat_history": chat_history,
"context": context,
"user_question": user_query,
}
)
if value:
response = " ".join([part for part in value])
return response
else:
return "No response received from model."
except Exception as e:
return f"Error in generating response: {str(e)}"
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