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我在运行 Google Cloud Natural Language API 方面遇到了很多困难。我正在尝试在 Spyder 上运行 Python 程序。自从安装了 tweepy、nltk、google-cloud-language、python-telegram-bot 以升级 google-cloud-language 以来，我一直在尝试一切。

当我开始调试时，控制台中显示的消息说：

"ImportError: cannot import name 'enums' from 'google.cloud.language' (C:\Users\Name\anaconda3\lib\site-packages\google\cloud\language\__init__.py)"

import tweepy
import re
from telegram.ext import Updater, MessageHandler
from google.cloud.language import enums
from google.cloud.language import types
from datetime import datetime, timedelta
from nltk.tokenize import WordPunctTokenizer

我已经尝试将代码修改为“来自 google.cloud.language_v1”，但仍然显示相同的错误。

在“google\cloud\language_init _.py ”文件中，我找到了这个。长话短说，我不知道该怎么办。

from google.cloud.language_v1.services.language_service.async_client import (
    LanguageServiceAsyncClient,
)
from google.cloud.language_v1.services.language_service.client import (
    LanguageServiceClient,
)
from google.cloud.language_v1.types.language_service import AnalyzeEntitiesRequest
from google.cloud.language_v1.types.language_service import AnalyzeEntitiesResponse
from google.cloud.language_v1.types.language_service import (
    AnalyzeEntitySentimentRequest,
)
from google.cloud.language_v1.types.language_service import (
    AnalyzeEntitySentimentResponse,
)
from google.cloud.language_v1.types.language_service import AnalyzeSentimentRequest
from google.cloud.language_v1.types.language_service import AnalyzeSentimentResponse
from google.cloud.language_v1.types.language_service import AnalyzeSyntaxRequest
from google.cloud.language_v1.types.language_service import AnalyzeSyntaxResponse
from google.cloud.language_v1.types.language_service import AnnotateTextRequest
from google.cloud.language_v1.types.language_service import AnnotateTextResponse
from google.cloud.language_v1.types.language_service import ClassificationCategory
from google.cloud.language_v1.types.language_service import ClassifyTextRequest
from google.cloud.language_v1.types.language_service import ClassifyTextResponse
from google.cloud.language_v1.types.language_service import DependencyEdge
from google.cloud.language_v1.types.language_service import Document
from google.cloud.language_v1.types.language_service import EncodingType
from google.cloud.language_v1.types.language_service import Entity
from google.cloud.language_v1.types.language_service import EntityMention
from google.cloud.language_v1.types.language_service import PartOfSpeech
from google.cloud.language_v1.types.language_service import Sentence
from google.cloud.language_v1.types.language_service import Sentiment
from google.cloud.language_v1.types.language_service import TextSpan
from google.cloud.language_v1.types.language_service import Token

__all__ = (
    "AnalyzeEntitiesRequest",
    "AnalyzeEntitiesResponse",
    "AnalyzeEntitySentimentRequest",
    "AnalyzeEntitySentimentResponse",
    "AnalyzeSentimentRequest",
    "AnalyzeSentimentResponse",
    "AnalyzeSyntaxRequest",
    "AnalyzeSyntaxResponse",
    "AnnotateTextRequest",
    "AnnotateTextResponse",
    "ClassificationCategory",
    "ClassifyTextRequest",
    "ClassifyTextResponse",
    "DependencyEdge",
    "Document",
    "EncodingType",
    "Entity",
    "EntityMention",
    "LanguageServiceAsyncClient",
    "LanguageServiceClient",
    "PartOfSpeech",
    "Sentence",
    "Sentiment",
    "TextSpan",
    "Token",
)
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