os.environ["OPENAI_API_KEY"] = "***" from langchain.llms import OpenAI llm = OpenAI(model_name="gpt-3.5-turbo", temperature=0.9) # call OpenAI ChatGPT from langchain.prompts import PromptTemplate prompt = PromptTemplate( input_variables=["food"], template="What are 5 vacation destinatio...
from langchain.llms import OpenAI from langchain.chains import LLMChain from langchain.prompts import PromptTemplate from langchain.chains import SimpleSequentialChain # 定义第一个chain llm = OpenAI(temperature=.7) template = """You are a playwright. Given the title of play, it is your job ...
from langchain.llms import OpenAI from langchain.chains import LLMChain from langchain.prompts import PromptTemplate from langchain.chains import SimpleSequentialChain # 定义第一个chain llm = OpenAI(temperature=.7) template = """You are a playwright. Given the title of play, it is your job ...
llm = OpenAI(temperature = 0.1) print(llm('如何理解大模型的边界问题')) 1.2 使用HuggingFace开源模型 不建议此类方法直接下载,建议模型下载部署使用自定义API的方式调用。拥抱脸所有开源模型信息见:https://huggingface.co Python 收起 from langchain.llms import HuggingFace...
比如下面是openAI的使用: from langchain.llms import OpenAIllm=OpenAI(openai_api_key="...") 接下来就可以调用llm的方法来进行text completion了。 一般来说有两种方式。第一种方式就是直接输出: llm("给我写首诗") 还有一种方式调用他的generate方法: ...
导入必要的库import langchain import openai import os import IPython from langchain.llms import OpenAI from dotenv import load_dotenv from langchain.chat_models import ChatOpenAI from langchain.schema import ( AIMessage, HumanMessage, SystemMessage ...
对于langchain来说,它本身并不提供大语言模型,它只是一个中间的粘合层,提供了统一的接口,方便我们对接底层的各种LLMs模型。 langchain除了可以对接OpenAI之外,还可以对接Cohere, Hugging Face等其他的大语言模型。 比如下面是openAI的使用: from langchain.llms import OpenAI ...
agent from langchain.agents import AgentType from langchain.llms import OpenAI llm = OpenAI(...
llms import OpenAI os.environ["OPENAI_API_KEY"] = apikey st.title('Medium Article Generator') topic = st.text_input('Input your topic of interest') 连接到OpenAI LLM 代码语言:javascript 复制 import os from apikey import apikey import streamlit as st from langchain.llms import OpenAI os...
from langchain.llms import OpenAI llm = OpenAI(temperature=0) chain = load_qa_chain(llm, ...