app.py

from langchain import PromptTemplate, LLMChain
from langchain.chat_models import ChatOpenAI
import chainlit as cl
import os

# os.environ["OPENAI_API_KEY"] = '70846324f01c4e5cb3cc11da28a1e091'
# os.environ["OPENAI_API_KEY"] = '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'
# os.environ["OPENAI_API_KEY"] = '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'
# os.environ["OPENAI_API_KEY"] = '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'
os.environ["OPENAI_API_KEY"] = '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'

template = """Question: {question}
Answer: Let's think step by step."""


@cl.langchain_factory(use_async=False)
def factory():
    prompt = PromptTemplate(template=template, input_variables=["question"])
    llm_chain = LLMChain(prompt=prompt, llm=ChatOpenAI(temperature=0, streaming=True))
    return llm_chain