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import os | |
import random | |
import requests | |
import hashlib | |
from ..tool import Tool | |
from langchain.prompts import PromptTemplate | |
from langchain.chains import LLMChain | |
from langchain.llms import OpenAI | |
def build_tool(config) -> Tool: | |
tool = Tool( | |
tool_name="Tutorial", | |
description="Provide tutorial for foundation model based on a given objective.", | |
name_for_model="Tutorial", | |
description_for_model="Plugin for providing tutorial for a given objective.", | |
logo_url="https://your-app-url.com/.well-known/logo.png", | |
contact_email="[email protected]", | |
legal_info_url="[email protected]", | |
) | |
prompt = PromptTemplate.from_template( | |
"You are a planner who is an expert at coming up with a todo list for a given objective. Come up with a todo list for this objective: {objective}" | |
) | |
key = os.environ.get("OPENAI_API_KEY") | |
llm = OpenAI(model_name="gpt-3.5-turbo", temperature=0.0, openai_api_key=key) | |
chain = LLMChain(llm=llm, prompt=prompt) | |
def tutorial(text: str) -> str: | |
""" | |
tutorial(text: str) -> str: Providing a TODO list as a toturial for the foundation model based on the given objective. | |
""" | |
result = chain.run(text) | |
return result | |
return tool | |