用Google访问Google自然语言
用Google访问Google自然语言
提问于 2022-04-01 19:31:28
我试图使用Google的和Google。
我首先遵循Google的简单示例：https://cloud.google.com/natural-language/docs/samples/language-entity-sentiment-text#language_entity_sentiment_text-python
因此，我的Colab笔记本实际上只是一个代码单元：
from google.cloud import language_v1
client = language_v1.LanguageServiceClient()
text_content = 'Grapes are good. Bananas are bad.'
# Available types: PLAIN_TEXT, HTML
type_ = language_v1.types.Document.Type.PLAIN_TEXT
# Optional. If not specified, the language is automatically detected.
# For list of supported languages:
# https://cloud.google.com/natural-language/docs/languages
language = "en"
document = {"content": text_content, "type_": type_, "language": language}
# Available values: NONE, UTF8, UTF16, UTF32
encoding_type = language_v1.EncodingType.UTF8
response = client.analyze_entity_sentiment(request = {'document': document, 'encoding_type': encoding_type})这导致了几条错误消息，我似乎主要是在this SO post的帮助下，通过稍微更新代码来解决这些错误消息，如下所示：
from google.cloud import language_v1
client = language_v1.LanguageServiceClient()
text_content = 'Grapes are good. Bananas are bad.'
# Available types: PLAIN_TEXT, HTML
type_ = language_v1.types.Document.Type.PLAIN_TEXT
# Optional. If not specified, the language is automatically detected.
# For list of supported languages:
# https://cloud.google.com/natural-language/docs/languages
language = "en"
#document = {"content": text_content, "type_": type_, "language": language} ## "type_" is not valid???
document = {"content": text_content, "type": type_, "language": language}
# Available values: NONE, UTF8, UTF16, UTF32
#encoding_type = language_v1.EncodingType.UTF8 ## Does not seem to work
encoding_type = "UTF8"
#response = client.analyze_entity_sentiment(request = {'document': document, 'encoding_type': encoding_type}) ## remove request
response = client.analyze_entity_sentiment( document = document, encoding_type = encoding_type )在10分钟后，这会导致以下错误：
_InactiveRpcError Traceback (most recent call last)
/usr/local/lib/python3.7/dist-packages/google/api_core/grpc_helpers.py in error_remapped_callable(*args, **kwargs)
72 try:
---> 73 return callable_(*args, **kwargs)
74 except grpc.RpcError as exc:
11 frames
_InactiveRpcError: <_InactiveRpcError of RPC that terminated with:
status = StatusCode.UNAVAILABLE
details = "Getting metadata from plugin failed with error: ("Failed to retrieve http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/default/?recursive=true from the Google Compute Enginemetadata service. Status: 404 Response:\nb''", <google.auth.transport.requests._Response object at 0x7f68cee39a90>)"
debug_error_string = "{"created":"@1648840699.964791285","description":"Getting metadata from plugin failed with error: ("Failed to retrieve http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/default/?recursive=true from the Google Compute Enginemetadata service. Status: 404 Response:\nb''", <google.auth.transport.requests._Response object at 0x7f68cee39a90>)","file":"src/core/lib/security/credentials/plugin/plugin_credentials.cc","file_line":91,"grpc_status":14}"
>
The above exception was the direct cause of the following exception:
ServiceUnavailable Traceback (most recent call last)
ServiceUnavailable: 503 Getting metadata from plugin failed with error: ("Failed to retrieve http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/default/?recursive=true from the Google Compute Enginemetadata service. Status: 404 Response:\nb''", <google.auth.transport.requests._Response object at 0x7f68cee39a90>)
The above exception was the direct cause of the following exception:
RetryError Traceback (most recent call last)
/usr/local/lib/python3.7/dist-packages/six.py in raise_from(value, from_value)
RetryError: Deadline of 600.0s exceeded while calling functools.partial(<function _wrap_unary_errors.<locals>.error_remapped_callable at 0x7f68cedb69e0>, document {
type: PLAIN_TEXT
content: "Grapes are good. Bananas are bad."
language: "en"
}
encoding_type: UTF8
, metadata=[('x-goog-api-client', 'gl-python/3.7.13 grpc/1.44.0 gax/1.26.3 gapic/1.2.0')]), last exception: 503 Getting metadata from plugin failed with error: ("Failed to retrieve http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/default/?recursive=true from the Google Compute Enginemetadata service. Status: 404 Response:\nb''", <google.auth.transport.requests._Response object at 0x7f68cee39a90>)你能帮我把这个简单的“你好世界！”对于云自然语言与谷歌Colab？
我的直觉是，我需要创建一个服务帐户，并以某种方式向Colab提供密钥文件，比如this SO answer。如果是这样的话，你能不能再握住我的手，告诉我如何在Colab (相对于本地运行)中实现这一点？我是科拉布的新手。
回答 1
Stack Overflow用户
回答已采纳
发布于 2022-04-01 20:26:38
这似乎奏效了：
首先创建一个服务帐户，生成一个密钥文件，并在本地保存JSON文件。https://console.cloud.google.com/iam-admin/serviceaccounts (我仍然想知道，如果在服务帐户生成中选择了哪些角色：“授予此服务帐户对项目的访问权限”)
单元格1:上传带有服务帐户密钥的json文件
from google.colab import files
uploaded = files.upload()第2室：
from google.oauth2 import service_account
from google.cloud import language_v1
client = language_v1.LanguageServiceClient.from_service_account_json("my-super-important-gcp-key-file.json")第3室：
text_content = 'Grapes are good. Bananas are bad.'
type_ = language_v1.types.Document.Type.PLAIN_TEXT
language = "en"
document = {"content": text_content, "type": type_, "language": language}
encoding_type = "UTF8"
response = client.analyze_entity_sentiment( document = document, encoding_type = encoding_type )
response这是输出：
entities {
name: "Grapes"
type: OTHER
salience: 0.8335162997245789
mentions {
text {
content: "Grapes"
}
type: COMMON
sentiment {
magnitude: 0.800000011920929
score: 0.800000011920929
}
}
sentiment {
magnitude: 0.800000011920929
score: 0.800000011920929
}
}
entities {
name: "Bananas"
type: OTHER
salience: 0.16648370027542114
mentions {
text {
content: "Bananas"
begin_offset: 17
}
type: COMMON
sentiment {
magnitude: 0.699999988079071
score: -0.699999988079071
}
}
sentiment {
magnitude: 0.699999988079071
score: -0.699999988079071
}
}
language: "en"我确信我刚刚违反了各种安全协议。因此，请允许我就如何改进这一进程提出任何建议。
页面原文内容由Stack Overflow提供。腾讯云小微IT领域专用引擎提供翻译支持
原文链接：
https://stackoverflow.com/questions/71711943
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