docs: add generated snippets (#273)

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

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packages/google-cloud-videointelligence/google/cloud/videointelligence_v1/services/video_intelligence_service/async_client.py

@@ -222,6 +222,30 @@ async def annotate_video(
         ``AnnotateVideoProgress`` (progress). ``Operation.response``
         contains ``AnnotateVideoResponse`` (results).
 
+
+        .. code-block::
+
+            from google.cloud import videointelligence_v1
+
+            def sample_annotate_video():
+                # Create a client
+                client = videointelligence_v1.VideoIntelligenceServiceClient()
+
+                # Initialize request argument(s)
+                request = videointelligence_v1.AnnotateVideoRequest(
+                    features="PERSON_DETECTION",
+                )
+
+                # Make the request
+                operation = client.annotate_video(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = operation.result()
+
+                # Handle the response
+                print(response)
+
         Args:
             request (Union[google.cloud.videointelligence_v1.types.AnnotateVideoRequest, dict]):
                 The request object. Video annotation request.

packages/google-cloud-videointelligence/google/cloud/videointelligence_v1/services/video_intelligence_service/client.py

@@ -402,6 +402,31 @@ def annotate_video(
         ``AnnotateVideoProgress`` (progress). ``Operation.response``
         contains ``AnnotateVideoResponse`` (results).
 
+
+
+        .. code-block::
+
+            from google.cloud import videointelligence_v1
+
+            def sample_annotate_video():
+                # Create a client
+                client = videointelligence_v1.VideoIntelligenceServiceClient()
+
+                # Initialize request argument(s)
+                request = videointelligence_v1.AnnotateVideoRequest(
+                    features="PERSON_DETECTION",
+                )
+
+                # Make the request
+                operation = client.annotate_video(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = operation.result()
+
+                # Handle the response
+                print(response)
+
         Args:
             request (Union[google.cloud.videointelligence_v1.types.AnnotateVideoRequest, dict]):
                 The request object. Video annotation request.

packages/google-cloud-videointelligence/google/cloud/videointelligence_v1beta2/services/video_intelligence_service/async_client.py

@@ -222,6 +222,30 @@ async def annotate_video(
         ``AnnotateVideoProgress`` (progress). ``Operation.response``
         contains ``AnnotateVideoResponse`` (results).
 
+
+        .. code-block::
+
+            from google.cloud import videointelligence_v1beta2
+
+            def sample_annotate_video():
+                # Create a client
+                client = videointelligence_v1beta2.VideoIntelligenceServiceClient()
+
+                # Initialize request argument(s)
+                request = videointelligence_v1beta2.AnnotateVideoRequest(
+                    features="FACE_DETECTION",
+                )
+
+                # Make the request
+                operation = client.annotate_video(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = operation.result()
+
+                # Handle the response
+                print(response)
+
         Args:
             request (Union[google.cloud.videointelligence_v1beta2.types.AnnotateVideoRequest, dict]):
                 The request object. Video annotation request.

packages/google-cloud-videointelligence/google/cloud/videointelligence_v1beta2/services/video_intelligence_service/client.py

@@ -402,6 +402,31 @@ def annotate_video(
         ``AnnotateVideoProgress`` (progress). ``Operation.response``
         contains ``AnnotateVideoResponse`` (results).
 
+
+
+        .. code-block::
+
+            from google.cloud import videointelligence_v1beta2
+
+            def sample_annotate_video():
+                # Create a client
+                client = videointelligence_v1beta2.VideoIntelligenceServiceClient()
+
+                # Initialize request argument(s)
+                request = videointelligence_v1beta2.AnnotateVideoRequest(
+                    features="FACE_DETECTION",
+                )
+
+                # Make the request
+                operation = client.annotate_video(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = operation.result()
+
+                # Handle the response
+                print(response)
+
         Args:
             request (Union[google.cloud.videointelligence_v1beta2.types.AnnotateVideoRequest, dict]):
                 The request object. Video annotation request.

packages/google-cloud-videointelligence/google/cloud/videointelligence_v1p1beta1/services/video_intelligence_service/async_client.py

@@ -222,6 +222,30 @@ async def annotate_video(
         ``AnnotateVideoProgress`` (progress). ``Operation.response``
         contains ``AnnotateVideoResponse`` (results).
 
+
+        .. code-block::
+
+            from google.cloud import videointelligence_v1p1beta1
+
+            def sample_annotate_video():
+                # Create a client
+                client = videointelligence_v1p1beta1.VideoIntelligenceServiceClient()
+
+                # Initialize request argument(s)
+                request = videointelligence_v1p1beta1.AnnotateVideoRequest(
+                    features="SPEECH_TRANSCRIPTION",
+                )
+
+                # Make the request
+                operation = client.annotate_video(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = operation.result()
+
+                # Handle the response
+                print(response)
+
         Args:
             request (Union[google.cloud.videointelligence_v1p1beta1.types.AnnotateVideoRequest, dict]):
                 The request object. Video annotation request.

packages/google-cloud-videointelligence/google/cloud/videointelligence_v1p1beta1/services/video_intelligence_service/client.py

@@ -402,6 +402,31 @@ def annotate_video(
         ``AnnotateVideoProgress`` (progress). ``Operation.response``
         contains ``AnnotateVideoResponse`` (results).
 
+
+
+        .. code-block::
+
+            from google.cloud import videointelligence_v1p1beta1
+
+            def sample_annotate_video():
+                # Create a client
+                client = videointelligence_v1p1beta1.VideoIntelligenceServiceClient()
+
+                # Initialize request argument(s)
+                request = videointelligence_v1p1beta1.AnnotateVideoRequest(
+                    features="SPEECH_TRANSCRIPTION",
+                )
+
+                # Make the request
+                operation = client.annotate_video(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = operation.result()
+
+                # Handle the response
+                print(response)
+
         Args:
             request (Union[google.cloud.videointelligence_v1p1beta1.types.AnnotateVideoRequest, dict]):
                 The request object. Video annotation request.

packages/google-cloud-videointelligence/google/cloud/videointelligence_v1p2beta1/services/video_intelligence_service/async_client.py

@@ -222,6 +222,30 @@ async def annotate_video(
         ``AnnotateVideoProgress`` (progress). ``Operation.response``
         contains ``AnnotateVideoResponse`` (results).
 
+
+        .. code-block::
+
+            from google.cloud import videointelligence_v1p2beta1
+
+            def sample_annotate_video():
+                # Create a client
+                client = videointelligence_v1p2beta1.VideoIntelligenceServiceClient()
+
+                # Initialize request argument(s)
+                request = videointelligence_v1p2beta1.AnnotateVideoRequest(
+                    features="OBJECT_TRACKING",
+                )
+
+                # Make the request
+                operation = client.annotate_video(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = operation.result()
+
+                # Handle the response
+                print(response)
+
         Args:
             request (Union[google.cloud.videointelligence_v1p2beta1.types.AnnotateVideoRequest, dict]):
                 The request object. Video annotation request.

packages/google-cloud-videointelligence/google/cloud/videointelligence_v1p2beta1/services/video_intelligence_service/client.py

@@ -402,6 +402,31 @@ def annotate_video(
         ``AnnotateVideoProgress`` (progress). ``Operation.response``
         contains ``AnnotateVideoResponse`` (results).
 
+
+
+        .. code-block::
+
+            from google.cloud import videointelligence_v1p2beta1
+
+            def sample_annotate_video():
+                # Create a client
+                client = videointelligence_v1p2beta1.VideoIntelligenceServiceClient()
+
+                # Initialize request argument(s)
+                request = videointelligence_v1p2beta1.AnnotateVideoRequest(
+                    features="OBJECT_TRACKING",
+                )
+
+                # Make the request
+                operation = client.annotate_video(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = operation.result()
+
+                # Handle the response
+                print(response)
+
         Args:
             request (Union[google.cloud.videointelligence_v1p2beta1.types.AnnotateVideoRequest, dict]):
                 The request object. Video annotation request.

packages/google-cloud-videointelligence/google/cloud/videointelligence_v1p3beta1/services/streaming_video_intelligence_service/async_client.py

@@ -241,6 +241,36 @@ def streaming_annotate_video(
         bytes. This method is only available via the gRPC API
         (not REST).
 
+
+        .. code-block::
+
+            from google.cloud import videointelligence_v1p3beta1
+
+            def sample_streaming_annotate_video():
+                # Create a client
+                client = videointelligence_v1p3beta1.StreamingVideoIntelligenceServiceClient()
+
+                # Initialize request argument(s)
+                request = videointelligence_v1p3beta1.StreamingAnnotateVideoRequest(
+                )
+
+                # This method expects an iterator which contains
+                # 'videointelligence_v1p3beta1.StreamingAnnotateVideoRequest' objects
+                # Here we create a generator that yields a single `request` for
+                # demonstrative purposes.
+                requests = [request]
+
+                def request_generator():
+                    for request in requests:
+                        yield request
+
+                # Make the request
+                stream = client.streaming_annotate_video(requests=request_generator())
+
+                # Handle the response
+                for response in stream:
+                    print(response)
+
         Args:
             requests (AsyncIterator[`google.cloud.videointelligence_v1p3beta1.types.StreamingAnnotateVideoRequest`]):
                 The request object AsyncIterator. The top-level message sent by the

packages/google-cloud-videointelligence/google/cloud/videointelligence_v1p3beta1/services/streaming_video_intelligence_service/client.py

@@ -407,6 +407,37 @@ def streaming_annotate_video(
         bytes. This method is only available via the gRPC API
         (not REST).
 
+
+
+        .. code-block::
+
+            from google.cloud import videointelligence_v1p3beta1
+
+            def sample_streaming_annotate_video():
+                # Create a client
+                client = videointelligence_v1p3beta1.StreamingVideoIntelligenceServiceClient()
+
+                # Initialize request argument(s)
+                request = videointelligence_v1p3beta1.StreamingAnnotateVideoRequest(
+                )
+
+                # This method expects an iterator which contains
+                # 'videointelligence_v1p3beta1.StreamingAnnotateVideoRequest' objects
+                # Here we create a generator that yields a single `request` for
+                # demonstrative purposes.
+                requests = [request]
+
+                def request_generator():
+                    for request in requests:
+                        yield request
+
+                # Make the request
+                stream = client.streaming_annotate_video(requests=request_generator())
+
+                # Handle the response
+                for response in stream:
+                    print(response)
+
         Args:
             requests (Iterator[google.cloud.videointelligence_v1p3beta1.types.StreamingAnnotateVideoRequest]):
                 The request object iterator. The top-level message sent by the