chore: use gapic-generator-python 0.63.2 (#333)

* chore: use gapic-generator-python 0.63.2
docs: add generated snippets

PiperOrigin-RevId: 427792504

Source-Link: googleapis/googleapis@55b9e1e

Source-Link: googleapis/googleapis-gen@bf4e86b
Copy-Tag: eyJwIjoiLmdpdGh1Yi8uT3dsQm90LnlhbWwiLCJoIjoiYmY0ZTg2Yjc1M2Y0MmNiMGVkYjFmZDUxZmJlODQwZDdkYTBhMWNkZSJ9

* 🦉 Updates from OwlBot

See https://github.com/googleapis/repo-automation-bots/blob/main/packages/owl-bot/README.md

Co-authored-by: Owl Bot <gcf-owl-bot[bot]@users.noreply.github.com>

packages/google-cloud-automl/google/cloud/automl_v1/services/prediction_service/async_client.py

@@ -260,6 +260,30 @@ async def predict(
         -  A row with column values matching the columns of the model,
            up to 5MB. Not available for FORECASTING ``prediction_type``.
 
+
+        .. code-block::
+
+            from google.cloud import automl_v1
+
+            def sample_predict():
+                # Create a client
+                client = automl_v1.PredictionServiceClient()
+
+                # Initialize request argument(s)
+                payload = automl_v1.ExamplePayload()
+                payload.image.image_bytes = b'image_bytes_blob'
+
+                request = automl_v1.PredictRequest(
+                    name="name_value",
+                    payload=payload,
+                )
+
+                # Make the request
+                response = client.predict(request=request)
+
+                # Handle the response
+                print(response)
+
         Args:
             request (Union[google.cloud.automl_v1.types.PredictRequest, dict]):
                 The request object. Request message for
@@ -401,6 +425,38 @@ async def batch_predict(
         -  AutoML Natural Language Sentiment Analysis
         -  AutoML Tables
 
+
+        .. code-block::
+
+            from google.cloud import automl_v1
+
+            def sample_batch_predict():
+                # Create a client
+                client = automl_v1.PredictionServiceClient()
+
+                # Initialize request argument(s)
+                input_config = automl_v1.BatchPredictInputConfig()
+                input_config.gcs_source.input_uris = ['input_uris_value_1', 'input_uris_value_2']
+
+                output_config = automl_v1.BatchPredictOutputConfig()
+                output_config.gcs_destination.output_uri_prefix = "output_uri_prefix_value"
+
+                request = automl_v1.BatchPredictRequest(
+                    name="name_value",
+                    input_config=input_config,
+                    output_config=output_config,
+                )
+
+                # Make the request
+                operation = client.batch_predict(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = operation.result()
+
+                # Handle the response
+                print(response)
+
         Args:
             request (Union[google.cloud.automl_v1.types.BatchPredictRequest, dict]):
                 The request object. Request message for

packages/google-cloud-automl/google/cloud/automl_v1/services/prediction_service/client.py

@@ -459,6 +459,31 @@ def predict(
         -  A row with column values matching the columns of the model,
            up to 5MB. Not available for FORECASTING ``prediction_type``.
 
+
+
+        .. code-block::
+
+            from google.cloud import automl_v1
+
+            def sample_predict():
+                # Create a client
+                client = automl_v1.PredictionServiceClient()
+
+                # Initialize request argument(s)
+                payload = automl_v1.ExamplePayload()
+                payload.image.image_bytes = b'image_bytes_blob'
+
+                request = automl_v1.PredictRequest(
+                    name="name_value",
+                    payload=payload,
+                )
+
+                # Make the request
+                response = client.predict(request=request)
+
+                # Handle the response
+                print(response)
+
         Args:
             request (Union[google.cloud.automl_v1.types.PredictRequest, dict]):
                 The request object. Request message for
@@ -599,6 +624,39 @@ def batch_predict(
         -  AutoML Natural Language Sentiment Analysis
         -  AutoML Tables
 
+
+
+        .. code-block::
+
+            from google.cloud import automl_v1
+
+            def sample_batch_predict():
+                # Create a client
+                client = automl_v1.PredictionServiceClient()
+
+                # Initialize request argument(s)
+                input_config = automl_v1.BatchPredictInputConfig()
+                input_config.gcs_source.input_uris = ['input_uris_value_1', 'input_uris_value_2']
+
+                output_config = automl_v1.BatchPredictOutputConfig()
+                output_config.gcs_destination.output_uri_prefix = "output_uri_prefix_value"
+
+                request = automl_v1.BatchPredictRequest(
+                    name="name_value",
+                    input_config=input_config,
+                    output_config=output_config,
+                )
+
+                # Make the request
+                operation = client.batch_predict(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = operation.result()
+
+                # Handle the response
+                print(response)
+
         Args:
             request (Union[google.cloud.automl_v1.types.BatchPredictRequest, dict]):
                 The request object. Request message for