7c3bebd23bbf2ac266aa543d73b959e5bcb77068,language/cloud-client/v1beta2/snippets.py,,entities_file,#Any#,91

Before Change



def entities_file(gcs_uri):
    Detects entities in the file located in Google Cloud Storage.
    language_client = language.Client(api_version="v1beta2")

    // Instantiates a plain text document.
    document = language_client.document_from_gcs_url(gcs_uri)

    // Detects sentiment in the document. You can also analyze HTML with:
    //   document.doc_type == language.Document.HTML
    entities = document.analyze_entities().entities

After Change



def entities_file(gcs_uri):
    Detects entities in the file located in Google Cloud Storage.
    client = language_v1beta2.LanguageServiceClient()

    // Instantiates a plain text document.
    document = types.Document(
        gcs_content_uri=gcs_uri,
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 6

Instances


Project Name: GoogleCloudPlatform/python-docs-samples
Commit Name: 7c3bebd23bbf2ac266aa543d73b959e5bcb77068
Time: 2017-07-28
Author: dizcology@hotmail.com
File Name: language/cloud-client/v1beta2/snippets.py
Class Name:
Method Name: entities_file


Project Name: GoogleCloudPlatform/python-docs-samples
Commit Name: 7c3bebd23bbf2ac266aa543d73b959e5bcb77068
Time: 2017-07-28
Author: dizcology@hotmail.com
File Name: language/cloud-client/v1beta2/snippets.py
Class Name:
Method Name: sentiment_file


Project Name: GoogleCloudPlatform/python-docs-samples
Commit Name: 7c3bebd23bbf2ac266aa543d73b959e5bcb77068
Time: 2017-07-28
Author: dizcology@hotmail.com
File Name: language/cloud-client/v1beta2/snippets.py
Class Name:
Method Name: syntax_file