调用星火API+zh2en

from fastapi import FastAPI
import uvicorn
import requests
 
 
app = FastAPI()
 
# sparkai调用
from sparkai.llm.llm import ChatSparkLLM, ChunkPrintHandler
from sparkai.core.messages import ChatMessage
#星火认知大模型Spark Max的URL值，其他版本大模型URL值请前往文档（https://www.xfyun.cn/doc/spark/Web.html）查看
SPARKAI_URL = 'wss://spark-api.xf-yun.com/v1.1/chat'
#星火认知大模型调用秘钥信息，请前往讯飞开放平台控制台（https://console.xfyun.cn/services/bm35）查看
SPARKAI_APP_ID = '替换自己的ID'
SPARKAI_API_SECRET = '替换自己的SECRET'
SPARKAI_API_KEY = '替换自己的API_KEY'
#星火认知大模型Spark Max的domain值，其他版本大模型domain值请前往文档（https://www.xfyun.cn/doc/spark/Web.html）查看
SPARKAI_DOMAIN = 'general'
 
def search_sparkai(keyword):
    spark = ChatSparkLLM(
            spark_api_url=SPARKAI_URL,
            spark_app_id=SPARKAI_APP_ID,
            spark_api_key=SPARKAI_API_KEY,
            spark_api_secret=SPARKAI_API_SECRET,
            spark_llm_domain=SPARKAI_DOMAIN,
            streaming=False,
        )
    messages = [ChatMessage(role="user",content=keyword)]
    handler = ChunkPrintHandler()
    generations = spark.generate([messages], callbacks=[handler])
    data = str(generations)
    return data
 
def get_text(t):
    m=t.split("text='")[1]
    if len(m) >1:
        m=m.split("', message")[0]
    else:
        return t
    return m
 
 
@app.get("/sparkai")
def sparkai_answer(keyword:str|None=None):
    t=search_sparkai(keyword)
    return get_text(t)
 
 
def zhongying(keywords):
    zh = 'zh'
    en = 'en'
    for c in keywords:
        if ('\u4e00' <= c <= '\u9fa5'):  # 判断是否为中文
            zh = 'en'
            en = 'zh'
    try:
        url = "https://fy.httpcn.com/bdaify/?s1=%s&t1=%s&q=%s" % (en, zh, keywords)
        headers = {
            'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_4) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.116 Safari/537.36'
        }
        fanhui = requests.get(url, headers=headers, timeout=30)
        jieguo = fanhui.json()
        jie2 = jieguo['result']['trans_result'][0]['dst']
        return jie2
    except:
        return '无数据'
 
@app.get("/zhongying")
def zhongying_answer(keyword:str|None=None):
    return zhongying(keyword)
 
 
 
# 启动uvicorn服务器
# 示例使用
if __name__ == "__main__":
    uvicorn.run(app, host="127.0.0.1", port=8099)
 
 
 
#使用前安装fastapi、requests、uvicorn即可一键启动；然后浏览器访问http://127.0.0.1:8099/docs即可调用相应API