class_docstr: Space Card Metadata that is used by Hugging Face Hub when included at the top of your README.md
  
  To get an exhaustive reference of Spaces configuration, please visit https://huggingface.co/docs/hub/spaces-config-reference#spaces-configuration-reference.
  
  Args:
      title (`str`, *optional*)
          Title of the Space.
      sdk (`str`, *optional*)
          SDK of the Space (one of `gradio`, `streamlit`, `docker`, or `static`).
      sdk_version (`str`, *optional*)
          Version of the used SDK (if Gradio/Streamlit sdk).
      python_version (`str`, *optional*)
          Python version used in the Space (if Gradio/Streamlit sdk).
      app_file (`str`, *optional*)
          Path to your main application file (which contains either gradio or streamlit Python code, or static html code).
          Path is relative to the root of the repository.
      app_port (`str`, *optional*)
          Port on which your application is running. Used only if sdk is `docker`.
      license (`str`, *optional*)
          License of this model. Example: apache-2.0 or any license from
          https://huggingface.co/docs/hub/repositories-licenses.
      duplicated_from (`str`, *optional*)
          ID of the original Space if this is a duplicated Space.
      models (List[`str`], *optional*)
          List of models related to this Space. Should be a dataset ID found on https://hf.co/models.
      datasets (`List[str]`, *optional*)
          List of datasets related to this Space. Should be a dataset ID found on https://hf.co/datasets.
      tags (`List[str]`, *optional*)
          List of tags to add to your Space that can be used when filtering on the Hub.
      ignore_metadata_errors (`str`):
          If True, errors while parsing the metadata section will be ignored. Some information might be lost during
          the process. Use it at your own risk.
      kwargs (`dict`, *optional*):
          Additional metadata that will be added to the space card.
  
  Example:
      ```python
      >>> from huggingface_hub import SpaceCardData
      >>> card_data = SpaceCardData(
      ...     title="Dreambooth Training",
      ...     license="mit",
      ...     sdk="gradio",
      ...     duplicated_from="multimodalart/dreambooth-training"
      ... )
      >>> card_data.to_dict()
      {'title': 'Dreambooth Training', 'sdk': 'gradio', 'license': 'mit', 'duplicated_from': 'multimodalart/dreambooth-training'}
      ```
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code: def __init__(
      self,
      *,
      title: Optional[str] = None,
      sdk: Optional[str] = None,
      sdk_version: Optional[str] = None,
      python_version: Optional[str] = None,
      app_file: Optional[str] = None,
      app_port: Optional[int] = None,
      license: Optional[str] = None,
      duplicated_from: Optional[str] = None,
      models: Optional[List[str]] = None,
      datasets: Optional[List[str]] = None,
      tags: Optional[List[str]] = None,
      ignore_metadata_errors: bool = False,
      **kwargs,
  ):
      self.title = title
      self.sdk = sdk
      self.sdk_version = sdk_version
      self.python_version = python_version
      self.app_file = app_file
      self.app_port = app_port
      self.license = license
      self.duplicated_from = duplicated_from
      self.models = models
      self.datasets = datasets
      self.tags = tags
      super().__init__(**kwargs)
  
imports: import copy
  from collections import defaultdict
  from dataclasses import dataclass
  from typing import Any, Dict, List, Optional, Tuple, Union
  from huggingface_hub.utils import logging, yaml_dump
label_desc: Use image node_id 1 to create a new SpaceCardData object from inherited base classes: CardData with example: obj = SpaceCardData()