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# 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
# --------------------------------------------------------------------------
import gradio
from gradio import components
from gradio.components.base import Component
from gradio.data_classes import (
GradioModel,
GradioRootModel,
)
from gradio.blocks import BlockContext
def patched_postprocess_update_dict(
block: Component | BlockContext, update_dict: dict, postprocess: bool = True
):
"""
This is a patched version of the original function where 'pop' is replaced with 'get' in the first line.
The key will no longer be removed but can still be accessed safely.
This fixed gradio.Radio component persisting the value selection through gradio.Examples.
"""
value = update_dict.get("value", components._Keywords.NO_VALUE)
# Continue with the original logic
update_dict = {k: getattr(block, k) for k in update_dict if hasattr(block, k)}
if value is not components._Keywords.NO_VALUE:
if postprocess:
update_dict["value"] = block.postprocess(value)
if isinstance(update_dict["value"], (GradioModel, GradioRootModel)):
update_dict["value"] = update_dict["value"].model_dump()
else:
update_dict["value"] = value
update_dict["__type__"] = "update"
return update_dict
gradio.blocks.postprocess_update_dict = patched_postprocess_update_dict
from gradio.events import Dependency
class Radio(gradio.Radio):
pass
from typing import Callable, Literal, Sequence, Any, TYPE_CHECKING
from gradio.blocks import Block
if TYPE_CHECKING:
from gradio.components import Timer |