如何将具有多语言的dataframe列翻译成英语而不会收到: HTTP错误429:请求太多

import pandas as pd
from tencentcloud.common import credential
from tencentcloud.common.profile.client_profile import ClientProfile
from tencentcloud.common.profile.http_profile import HttpProfile
from tencentcloud.common.exception.tencent_cloud_sdk_exception import TencentCloudSDKException
from tencentcloud.tmt.v20180321 import tmt_client, models

# 腾讯云翻译API的配置信息
secret_id = "your_secret_id"
secret_key = "your_secret_key"
region = "ap-guangzhou"

# 创建机器翻译客户端
try:
    cred = credential.Credential(secret_id, secret_key)
    httpProfile = HttpProfile()
    httpProfile.endpoint = "tmt.tencentcloudapi.com"
    clientProfile = ClientProfile()
    clientProfile.httpProfile = httpProfile
    client = tmt_client.TmtClient(cred, region, clientProfile)
except TencentCloudSDKException as err:
    print(err)

# 定义翻译函数
def translate_text(text, source, target):
    req = models.TextTranslateRequest()
    params = {
        "SourceText": text,
        "Source": source,
        "Target": target,
        "ProjectId": 0
    }
    req.from_json_string(json.dumps(params))
    resp = client.TextTranslate(req)
    return resp.TargetText

# 读取包含多语言列的dataframe
df = pd.read_csv("your_dataframe.csv")

# 遍历每一行，将多语言列翻译成英语
for index, row in df.iterrows():
    text = row["多语言列"]
    translated_text = translate_text(text, "auto", "en")
    df.at[index, "多语言列"] = translated_text

# 输出翻译后的dataframe
print(df)