chore: update samples to include additional region tags (#14)

* Update samples to include additional region tags.

* chore: empty commit

Author: jsimonweb

language/v1/language_classify_gcs.py

@@ -43,6 +43,7 @@ def sample_classify_text(gcs_content_uri):
 
     # gcs_content_uri = 'gs://cloud-samples-data/language/classify-entertainment.txt'
 
+    # [START language_python_migration_document_gcs]
     # Available types: PLAIN_TEXT, HTML
     type_ = enums.Document.Type.PLAIN_TEXT
 
@@ -51,6 +52,7 @@ def sample_classify_text(gcs_content_uri):
     # https://cloud.google.com/natural-language/docs/languages
     language = "en"
     document = {"gcs_content_uri": gcs_content_uri, "type": type_, "language": language}
+    # [END language_python_migration_document_gcs]
 
     response = client.classify_text(document)
     # Loop through classified categories returned from the API

language/v1/language_classify_text.py

@@ -41,6 +41,7 @@ def sample_classify_text(text_content):
 
     # text_content = 'That actor on TV makes movies in Hollywood and also stars in a variety of popular new TV shows.'
 
+    # [START language_python_migration_document_text]
     # Available types: PLAIN_TEXT, HTML
     type_ = enums.Document.Type.PLAIN_TEXT
 
@@ -49,6 +50,7 @@ def sample_classify_text(text_content):
     # https://cloud.google.com/natural-language/docs/languages
     language = "en"
     document = {"content": text_content, "type": type_, "language": language}
+    # [END language_python_migration_document_text]
 
     response = client.classify_text(document)
     # Loop through classified categories returned from the API

language/v1/language_entities_text.py

@@ -41,6 +41,7 @@ def sample_analyze_entities(text_content):
 
     # text_content = 'California is a state.'
 
+    # [START language_python_migration_entities_text]
     # Available types: PLAIN_TEXT, HTML
     type_ = enums.Document.Type.PLAIN_TEXT
 
@@ -76,6 +77,7 @@ def sample_analyze_entities(text_content):
             print(
                 u"Mention type: {}".format(enums.EntityMention.Type(mention.type).name)
             )
+    # [END language_python_migration_entities_text]
 
     # Get the language of the text, which will be the same as
     # the language specified in the request or, if not specified,

language/v1/language_sentiment_text.py

@@ -41,6 +41,7 @@ def sample_analyze_sentiment(text_content):
 
     # text_content = 'I am so happy and joyful.'
 
+    # [START language_python_migration_sentiment_text]
     # Available types: PLAIN_TEXT, HTML
     type_ = enums.Document.Type.PLAIN_TEXT
 
@@ -61,6 +62,8 @@ def sample_analyze_sentiment(text_content):
             response.document_sentiment.magnitude
         )
     )
+    # [END language_python_migration_sentiment_text]
+
     # Get sentiment for all sentences in the document
     for sentence in response.sentences:
         print(u"Sentence text: {}".format(sentence.text.content))

language/v1/language_syntax_text.py

@@ -50,6 +50,7 @@ def sample_analyze_syntax(text_content):
     language = "en"
     document = {"content": text_content, "type": type_, "language": language}
 
+    # [START language_python_migration_syntax_text]
     # Available values: NONE, UTF8, UTF16, UTF32
     encoding_type = enums.EncodingType.UTF8
 
@@ -72,6 +73,8 @@ def sample_analyze_syntax(text_content):
                 enums.PartOfSpeech.Tag(part_of_speech.tag).name
             )
         )
+        # [END language_python_migration_syntax_text]
+
         # Get the voice, e.g. ACTIVE or PASSIVE
         print(u"Voice: {}".format(enums.PartOfSpeech.Voice(part_of_speech.voice).name))
         # Get the tense, e.g. PAST, FUTURE, PRESENT, et al.