An error occurred while executing the following Python script:

Error: Traceback (most recent call last):
  File "D:\Spatial\temp_scripts\temp_script_9d2b4846bbc34b39816fa90774b5293e.py", line 2, in <module>
    from huggingface_hub import HfApi, HuggingFaceHubError
ImportError: cannot import name 'HuggingFaceHubError' from 'huggingface_hub' (C:\Users\Administrator\AppData\Local\Programs\Python\Python312\Lib\site-packages\huggingface_hub\__init__.py)


Script:
import os
from huggingface_hub import HfApi, HuggingFaceHubError

def list_huggingface_spaces(filter_tags=None, limit=100):
    """
    Lists Hugging Face Spaces with their descriptions and URLs.

    Args:
        filter_tags (list, optional): List of tags to filter Spaces. Defaults to None.
        limit (int, optional): Number of Spaces to retrieve. Defaults to 100.

    Returns:
        list: A list of dictionaries containing Space information.
    """
    api = HfApi()
    try:
        spaces = api.list_spaces(
            filter=filter_tags if filter_tags else None,
            sort='last_modified',
            direction=-1,
            limit=limit
        )
    except HuggingFaceHubError as e:
        print(f"Error fetching spaces: {e}")
        return []

    space_list = []
    for space in spaces:
        space_info = {
            'Name': space.modelId.split('/')[-1],
            'Author': space.modelId.split('/')[0],
            'Description': space.description or "No description provided.",
            'Tags': space.tags,
            'URL': f"https://huggingface.co/spaces/{space.modelId}"
        }
        space_list.append(space_info)

    return space_list

def display_spaces(spaces):
    """
    Displays the list of Spaces in a readable format.

    Args:
        spaces (list): List of dictionaries containing Space information.
    """
    if not spaces:
        print("No Spaces found.")
        return

    for idx, space in enumerate(spaces, start=1):
        print(f"Space {idx}:")
        print(f"  Name       : {space['Name']}")
        print(f"  Author     : {space['Author']}")
        print(f"  Description: {space['Description']}")
        print(f"  Tags       : {', '.join(space['Tags']) if space['Tags'] else 'None'}")
        print(f"  URL        : {space['URL']}\n")

def main():
    """
    Main function to execute the script.
    """
    # Optional: Set environment variables for Hugging Face authentication
    # os.environ['HUGGINGFACE_HUB_TOKEN'] = 'your_token_here'

    print("Fetching available Hugging Face Spaces...\n")
    spaces = list_huggingface_spaces(limit=50)  # Adjust the limit as needed
    display_spaces(spaces)

    print("Note: Not all Spaces provide public APIs. To interact with a Space programmatically,")
    print("you need to refer to its documentation or contact the Space author for API details.")

if __name__ == "__main__":
    main()
# Suggested Fix: 
import os
from huggingface_hub import HfApi, HuggingFaceHubError

def list_huggingface_spaces(filter_tags=None, limit=100):
    """
    Lists Hugging Face Spaces with their descriptions and URLs.

    Args:
        filter_tags (list, optional): List of tags to filter Spaces. Defaults to None.
        limit (int, optional): Number of Spaces to retrieve. Defaults to 100.

    Returns:
        list: A list of dictionaries containing Space information.
    """
    api = HfApi()
    try:
        spaces = api.list_spaces(
            filter=filter_tags if filter_tags else None,
            sort='last_modified',
            direction=-1,
            limit=limit
        )
    except HuggingFaceHubError as e:
        print(f"Error fetching spaces: {e}")
        return []

    space_list = []
    for space in spaces:
        space_info = {
            'Name': space.modelId.split('/')[-1],
            'Author': space.modelId.split('/')[0],
            'Description': space.description or "No description provided.",
            'Tags': space.tags,
            'URL': f"https://huggingface.co/spaces/{space.modelId}"
        }
        space_list.append(space_info)

    return space_list

def display_spaces(spaces):
    """
    Displays the list of Spaces in a readable format.

    Args:
        spaces (list): List of dictionaries containing Space information.
    """
    if not spaces:
        print("No Spaces found.")
        return

    for idx, space in enumerate(spaces, start=1):
        print(f"Space {idx}:")
        print(f"  Name       : {space['Name']}")
        print(f"  Author     : {space['Author']}")
        print(f"  Description: {space['Description']}")
        print(f"  Tags       : {', '.join(space['Tags']) if space['Tags'] else 'None'}")
        print(f"  URL        : {space['URL']}\n")

def main():
    """
    Main function to execute the script.
    """
    # Optional: Set environment variables for Hugging Face authentication
    # os.environ['HUGGINGFACE_HUB_TOKEN'] = 'your_token_here'

    print("Fetching available Hugging Face Spaces...\n")
    spaces = list_huggingface_spaces(limit=50)  # Adjust the limit as needed
    display_spaces(spaces)

    print("Note: Not all Spaces provide public APIs. To interact with a Space programmatically,")
    print("you need to refer to its documentation or contact the Space author for API details.")

if __name__ == "__main__":
    main()


Please suggest a fix for the error.