sinch.domains.conversation.models.v1.sinch_events.smart_conversations.machine_learning_image_recognition_result module

class sinch.domains.conversation.models.v1.sinch_events.smart_conversations.machine_learning_image_recognition_result.MachineLearningImageRecognitionResult(
*,
url: Annotated[str, Strict(strict=True)] | None = None,
document_image_classification: DocumentImageClassification | None = None,
optical_character_recognition: OpticalCharacterRecognition | None = None,
document_field_classification: DocumentFieldClassification | None = None,
**extra_data: Any,
)[source]

Bases: SinchEvent

Parameters:
url: Annotated[str, Strict(strict=True)] | None
document_image_classification: DocumentImageClassification | None
optical_character_recognition: OpticalCharacterRecognition | None
document_field_classification: DocumentFieldClassification | None
model_config = {'extra': 'allow', 'populate_by_name': True}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

model_post_init(
_SnakifyExtrasOnInit__context: Any,
) → None

Marks applied non-None defaults as set.

Parameters:

_SnakifyExtrasOnInit__context (Any)

Return type:

None