# Copyright 2023-2025 Marigold Team, ETH Zürich. All rights reserved.
# This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 International License.
# See https://creativecommons.org/licenses/by-sa/4.0/ for details.
# --------------------------------------------------------------------------
# DualVision is a Gradio template app for image processing. It was developed
# to support the Marigold project. If you find this code useful, we kindly
# ask you to cite our most relevant papers.
# More information about Marigold:
#   https://marigoldmonodepth.github.io
#   https://marigoldcomputervision.github.io
# Efficient inference pipelines are now part of diffusers:
#   https://huggingface.co/docs/diffusers/using-diffusers/marigold_usage
#   https://huggingface.co/docs/diffusers/api/pipelines/marigold
# Examples of trained models and live demos:
#   https://huggingface.co/prs-eth
# Related projects:
#   https://marigolddepthcompletion.github.io/
#   https://rollingdepth.github.io/
# Citation (BibTeX):
#   https://github.com/prs-eth/Marigold#-citation
#   https://github.com/prs-eth/Marigold-DC#-citation
#   https://github.com/prs-eth/rollingdepth#-citation
# --------------------------------------------------------------------------
from pathlib import Path
import gradio
from gradio.utils import get_cache_folder


class Examples(gradio.helpers.Examples):
    def __init__(self, *args, directory_name=None, **kwargs):
        super().__init__(*args, **kwargs, _initiated_directly=False)
        if directory_name is not None:
            self.cached_folder = get_cache_folder() / directory_name
            self.cached_file = Path(self.cached_folder) / "log.csv"
            self.cached_indices_file = Path(self.cached_folder) / "indices.csv"
        self.create()