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from llm_api import openai_chatbot_chain
import chainlit as cl
#|--------------------------------------------------------------------------|
#| On Boarding |
#|--------------------------------------------------------------------------|
@cl.on_chat_start
async def on_chat_start():
cl.user_session.set(
"message_history",
[{"role": "system", "content": "You are a helpful assistant."}],
)
app_user = cl.user_session.get("user")
await cl.Message(f"Hello User").send()
#|--------------------------------------------------------------------------|
#| Chat |
#|--------------------------------------------------------------------------|
@cl.on_message
async def main(user_input: cl.Message):
message_history = cl.user_session.get("message_history")
message_history.append({"role": "user", "content": user_input.content})
llm_output = cl.Message(content="")
await llm_output.send()
stream = await openai_chatbot_chain(message_history)
async for part in stream:
if token := part.choices[0].delta.content or "":
await llm_output.stream_token(token)
message_history.append({"role": "assistant", "content": llm_output.content})
await llm_output.update() |