Spaces:
Runtime error
Runtime error
File size: 2,088 Bytes
b7b44ee 9d11405 b7b44ee |
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 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 |
#Importing Libraries
import os
import openai
import chainlit as cl
from chainlit.prompt import Prompt, PromptMessage
from chainlit.playground.providers import ChatOpenAI
from dotenv import load_dotenv
load_dotenv()
openai.api_key = os.environ["OPENAI_API_KEY"]
#Templates
system_template = """
You are a helpful assistant who always speaks in a pleasant tone!
"""
user_template = """{input}
Think through your response step by step.
"""
# Runs at the start of the user cession
@cl.on_chat_start
async def start_chat():
settings = {
"model": "gpt-3.5-turbo",# Model that we will be using
"temperature": 0, # Randomness in the answer
"max_tokens": 500,# Maximum length of tokens as input
"top_p": 1, #
"frequency_penalty": 0,
"presence_penalty": 0,
}
cl.user_session.set("settings", settings)
#Function that will run on each time the bot gets a user input
@cl.on_message
async def main(message:str):
settings = cl.user_session.get("settings")
prompt = Prompt(
provider = ChatOpenAI.id,
messages = [
PromptMessage(
role = "system",
template = system_template,
formatted = system_template,
),
PromptMessage(
role = "user",
template = user_template,
formatted=user_template.format(input=message)
),
],
inputs = {"input":message},
settings = settings,
)
print([m.to_openai() for m in prompt.messages])
msg = cl.Message(content="")
# Call OpenAI
async for stream_resp in await openai.ChatCompletion.acreate(
messages = [m.to_openai() for m in prompt.messages],stream = True, **settings
):
token = stream_resp.choices[0]["delta"].get("content","")
await msg.stream_token(token)
#Updating the prompt answer to the answer generated by the LLM
prompt.completion = msg.content
#Updating the message to set the context right.
msg.prompt = prompt
await msg.send()
|