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NLP Cloud 提供高性能的预训练或自定义模型，支持命名实体识别、情感分析、分类、摘要、改写、语法与拼写纠错、关键词与关键短语提取、聊天机器人、产品描述与广告生成、意图分类、文本生成、图像生成、博客生成、代码生成、问答、自动语音识别、机器翻译、语言检测、语义搜索、语义相似度、分词、词性标注、嵌入以及依存分析等功能。该服务已可投入生产，通过 REST API 提供服务。 本示例介绍如何使用 LangChain 与 NLP Cloud 模型进行交互。 
pip install -qU  nlpcloud

# get a token: https://docs.nlpcloud.com/#authentication

from getpass import getpass

NLPCLOUD_API_KEY = getpass()

 ········

import os

os.environ["NLPCLOUD_API_KEY"] = NLPCLOUD_API_KEY

from langchain_classic.chains import LLMChain
from langchain_community.llms import NLPCloud
from langchain_core.prompts import PromptTemplate

template = """Question: {question}

Answer: Let's think step by step."""

prompt = PromptTemplate.from_template(template)

llm = NLPCloud()

llm_chain = LLMChain(prompt=prompt, llm=llm)

question = "What NFL team won the Super Bowl in the year Justin Beiber was born?"

llm_chain.run(question)

' Justin Bieber was born in 1994, so the team that won the Super Bowl that year was the San Francisco 49ers.'
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