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Browse files- Dockerfile +12 -0
- README.md +6 -6
- __init__.py +0 -0
- __pycache__/app.cpython-310.pyc +0 -0
- app.py +11 -0
- requirements.txt +1 -0
- src/.gitignore +9 -0
- src/README.md +10 -0
- src/backend/gradio_blurhashimage/__init__.py +4 -0
- src/backend/gradio_blurhashimage/blurhashimage.py +158 -0
- src/backend/gradio_blurhashimage/blurhashimage.pyi +345 -0
- src/backend/gradio_blurhashimage/templates/component/index.js +4144 -0
- src/backend/gradio_blurhashimage/templates/component/style.css +1 -0
- src/backend/gradio_blurhashimage/templates/example/index.js +264 -0
- src/backend/gradio_blurhashimage/templates/example/style.css +1 -0
- src/demo/__init__.py +0 -0
- src/demo/app.py +11 -0
- src/frontend/Example.svelte +39 -0
- src/frontend/Index.svelte +85 -0
- src/frontend/package-lock.json +1781 -0
- src/frontend/package.json +30 -0
- src/frontend/shared/ClearImage.svelte +30 -0
- src/frontend/shared/Image.svelte +24 -0
- src/frontend/shared/ImagePreview.svelte +103 -0
- src/frontend/shared/data.ts +61 -0
- src/frontend/shared/utils.ts +24 -0
- src/pyproject.toml +49 -0
- src/sample.png +0 -0
Dockerfile
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FROM python:3.9
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WORKDIR /code
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COPY --link --chown=1000 . .
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RUN pip install --no-cache-dir -r requirements.txt
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ENV PYTHONUNBUFFERED=1 GRADIO_ALLOW_FLAGGING=never GRADIO_NUM_PORTS=1 GRADIO_SERVER_NAME=0.0.0.0 GRADIO_SERVER_PORT=7860 SYSTEM=spaces
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CMD ["python", "app.py"]
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README.md
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---
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-
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colorFrom:
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colorTo:
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sdk: docker
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pinned: false
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---
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-
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-
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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---
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tags: [gradio-custom-component, gradio-template-Image]
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title: gradio_blurhashimage V0.0.1
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colorFrom: red
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colorTo: red
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sdk: docker
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pinned: false
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license: apache-2.0
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---
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__init__.py
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File without changes
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__pycache__/app.cpython-310.pyc
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Binary file (467 Bytes). View file
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app.py
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import gradio as gr
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from gradio_blurhashimage import BlurhashImage
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demo = gr.Interface(
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lambda x:x,
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gr.Image(),
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BlurhashImage(),
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)
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demo.launch()
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requirements.txt
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gradio_blurhashimage-0.0.1-py3-none-any.whl
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src/.gitignore
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.eggs/
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dist/
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*.pyc
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__pycache__/
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*.py[cod]
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*$py.class
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__tmp/*
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*.pyi
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node_modules
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src/README.md
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# gradio_blurhashimage
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A Custom Gradio component.
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## Example usage
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```python
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import gradio as gr
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from gradio_blurhashimage import BlurhashImage
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```
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src/backend/gradio_blurhashimage/__init__.py
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from .blurhashimage import BlurhashImage
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__all__ = ['BlurhashImage']
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src/backend/gradio_blurhashimage/blurhashimage.py
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"""gr.Image() component."""
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from __future__ import annotations
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import warnings
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from pathlib import Path
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from typing import Any, Literal, cast
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import numpy as np
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from gradio_client.documentation import document, set_documentation_group
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from PIL import Image as _Image # using _ to minimize namespace pollution
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import blurhash
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import gradio.image_utils as image_utils
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from gradio import processing_utils, utils
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from gradio.components.base import Component
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from gradio.data_classes import FileData, GradioModel
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from gradio.events import Events
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from typing import Optional
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set_documentation_group("component")
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_Image.init() # fixes https://github.com/gradio-app/gradio/issues/2843
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class BlurhashFileData(GradioModel):
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image: FileData = None
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blurhash: Optional[str] = None
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width: Optional[int] = None
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height: Optional[int] = None
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@document()
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class BlurhashImage(Component):
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"""
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Creates an image component that can be used to display images (as an output). A blurhash image is displayed until the image is fully loaded.
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Preprocessing: passes the uploaded image as a {numpy.array}, {PIL.Image} or {str} filepath depending on `type`.
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Postprocessing: expects a {numpy.array}, {PIL.Image} or {str} or {pathlib.Path} filepath to an image and displays the image.
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Examples-format: a {str} local filepath or URL to an image.
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Demos: image_mod, image_mod_default_image
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Guides: image-classification-in-pytorch, image-classification-in-tensorflow, image-classification-with-vision-transformers, create-your-own-friends-with-a-gan
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"""
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EVENTS = [
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Events.clear,
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Events.change,
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Events.stream,
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Events.select,
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Events.upload,
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]
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data_model = BlurhashFileData
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def __init__(
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self,
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value: str | _Image.Image | np.ndarray | None = None,
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*,
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height: int | None = None,
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width: int | None = None,
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image_mode: Literal[
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"1", "L", "P", "RGB", "RGBA", "CMYK", "YCbCr", "LAB", "HSV", "I", "F"
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] = "RGB",
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type: Literal["numpy", "pil", "filepath"] = "numpy",
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label: str | None = None,
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every: float | None = None,
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show_label: bool | None = None,
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show_download_button: bool = True,
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container: bool = True,
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scale: int | None = None,
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min_width: int = 160,
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visible: bool = True,
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elem_id: str | None = None,
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elem_classes: list[str] | str | None = None,
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render: bool = True,
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show_share_button: bool | None = None,
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):
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"""
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Parameters:
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value: A PIL BlurhashImage, numpy array, path or URL for the default value that BlurhashImage component is going to take. If callable, the function will be called whenever the app loads to set the initial value of the component.
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height: Height of the displayed image in pixels.
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width: Width of the displayed image in pixels.
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image_mode: "RGB" if color, or "L" if black and white. See https://pillow.readthedocs.io/en/stable/handbook/concepts.html for other supported image modes and their meaning.
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type: The format the image is converted to before being passed into the prediction function. "numpy" converts the image to a numpy array with shape (height, width, 3) and values from 0 to 255, "pil" converts the image to a PIL image object, "filepath" passes a str path to a temporary file containing the image.
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label: The label for this component. Appears above the component and is also used as the header if there are a table of examples for this component. If None and used in a `gr.Interface`, the label will be the name of the parameter this component is assigned to.
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every: If `value` is a callable, run the function 'every' number of seconds while the client connection is open. Has no effect otherwise. Queue must be enabled. The event can be accessed (e.g. to cancel it) via this component's .load_event attribute.
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show_label: if True, will display label.
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show_download_button: If True, will display button to download image.
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container: If True, will place the component in a container - providing some extra padding around the border.
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scale: relative width compared to adjacent Components in a Row. For example, if Component A has scale=2, and Component B has scale=1, A will be twice as wide as B. Should be an integer.
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min_width: minimum pixel width, will wrap if not sufficient screen space to satisfy this value. If a certain scale value results in this Component being narrower than min_width, the min_width parameter will be respected first.
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visible: If False, component will be hidden.
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elem_id: An optional string that is assigned as the id of this component in the HTML DOM. Can be used for targeting CSS styles.
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elem_classes: An optional list of strings that are assigned as the classes of this component in the HTML DOM. Can be used for targeting CSS styles.
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render: If False, component will not render be rendered in the Blocks context. Should be used if the intention is to assign event listeners now but render the component later.
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show_share_button: If True, will show a share icon in the corner of the component that allows user to share outputs to Hugging Face Spaces Discussions. If False, icon does not appear. If set to None (default behavior), then the icon appears if this Gradio app is launched on Spaces, but not otherwise.
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"""
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valid_types = ["numpy", "pil", "filepath"]
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if type not in valid_types:
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raise ValueError(
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f"Invalid value for parameter `type`: {type}. Please choose from one of: {valid_types}"
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)
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self.type = type
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self.height = height
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self.width = width
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self.image_mode = image_mode
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+
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self.show_download_button = show_download_button
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self.show_share_button = (
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(utils.get_space() is not None)
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if show_share_button is None
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else show_share_button
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)
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super().__init__(
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label=label,
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every=every,
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show_label=show_label,
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container=container,
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scale=scale,
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min_width=min_width,
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visible=visible,
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elem_id=elem_id,
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elem_classes=elem_classes,
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render=render,
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value=value,
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)
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def preprocess(
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self, payload: BlurhashFileData | None
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) -> np.ndarray | _Image.Image | str | None:
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if payload is None:
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return payload
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im = _Image.open(payload.image.path)
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with warnings.catch_warnings():
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warnings.simplefilter("ignore")
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im = im.convert(self.image_mode)
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return image_utils.format_image(
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im, cast(Literal["numpy", "pil", "filepath"], self.type), self.GRADIO_CACHE
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)
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def postprocess(
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self, value: np.ndarray | _Image.Image | str | Path | None
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) -> BlurhashFileData | None:
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if value is None:
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return None
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path = image_utils.save_image(value, self.GRADIO_CACHE)
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image = _Image.open(path)
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return BlurhashFileData(
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image=FileData(path=path),
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blurhash=blurhash.encode(image, x_components=5, y_components=5),
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width=image.width,
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height=image.height,
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)
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def as_example(self, input_data: str | Path | None) -> str | None:
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if input_data is None:
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return None
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return processing_utils.move_resource_to_block_cache(input_data, self)
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+
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def example_inputs(self) -> Any:
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return "https://raw.githubusercontent.com/gradio-app/gradio/main/test/test_files/bus.png"
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src/backend/gradio_blurhashimage/blurhashimage.pyi
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|
1 |
+
"""gr.Image() component."""
|
2 |
+
|
3 |
+
from __future__ import annotations
|
4 |
+
|
5 |
+
import warnings
|
6 |
+
from pathlib import Path
|
7 |
+
from typing import Any, Literal, cast
|
8 |
+
|
9 |
+
import numpy as np
|
10 |
+
from gradio_client.documentation import document, set_documentation_group
|
11 |
+
from PIL import Image as _Image # using _ to minimize namespace pollution
|
12 |
+
|
13 |
+
import blurhash
|
14 |
+
import gradio.image_utils as image_utils
|
15 |
+
from gradio import processing_utils, utils
|
16 |
+
from gradio.components.base import Component
|
17 |
+
from gradio.data_classes import FileData, GradioModel
|
18 |
+
from gradio.events import Events
|
19 |
+
from typing import Optional
|
20 |
+
|
21 |
+
set_documentation_group("component")
|
22 |
+
_Image.init() # fixes https://github.com/gradio-app/gradio/issues/2843
|
23 |
+
|
24 |
+
class BlurhashFileData(GradioModel):
|
25 |
+
image: FileData = None
|
26 |
+
blurhash: Optional[str] = None
|
27 |
+
width: Optional[int] = None
|
28 |
+
height: Optional[int] = None
|
29 |
+
from gradio.events import Dependency
|
30 |
+
|
31 |
+
@document()
|
32 |
+
class BlurhashImage(Component):
|
33 |
+
"""
|
34 |
+
Creates an image component that can be used to display images (as an output). A blurhash image is displayed until the image is fully loaded.
|
35 |
+
Preprocessing: passes the uploaded image as a {numpy.array}, {PIL.Image} or {str} filepath depending on `type`.
|
36 |
+
Postprocessing: expects a {numpy.array}, {PIL.Image} or {str} or {pathlib.Path} filepath to an image and displays the image.
|
37 |
+
Examples-format: a {str} local filepath or URL to an image.
|
38 |
+
Demos: image_mod, image_mod_default_image
|
39 |
+
Guides: image-classification-in-pytorch, image-classification-in-tensorflow, image-classification-with-vision-transformers, create-your-own-friends-with-a-gan
|
40 |
+
"""
|
41 |
+
|
42 |
+
EVENTS = [
|
43 |
+
Events.clear,
|
44 |
+
Events.change,
|
45 |
+
Events.stream,
|
46 |
+
Events.select,
|
47 |
+
Events.upload,
|
48 |
+
]
|
49 |
+
|
50 |
+
data_model = BlurhashFileData
|
51 |
+
|
52 |
+
def __init__(
|
53 |
+
self,
|
54 |
+
value: str | _Image.Image | np.ndarray | None = None,
|
55 |
+
*,
|
56 |
+
height: int | None = None,
|
57 |
+
width: int | None = None,
|
58 |
+
image_mode: Literal[
|
59 |
+
"1", "L", "P", "RGB", "RGBA", "CMYK", "YCbCr", "LAB", "HSV", "I", "F"
|
60 |
+
] = "RGB",
|
61 |
+
type: Literal["numpy", "pil", "filepath"] = "numpy",
|
62 |
+
label: str | None = None,
|
63 |
+
every: float | None = None,
|
64 |
+
show_label: bool | None = None,
|
65 |
+
show_download_button: bool = True,
|
66 |
+
container: bool = True,
|
67 |
+
scale: int | None = None,
|
68 |
+
min_width: int = 160,
|
69 |
+
visible: bool = True,
|
70 |
+
elem_id: str | None = None,
|
71 |
+
elem_classes: list[str] | str | None = None,
|
72 |
+
render: bool = True,
|
73 |
+
show_share_button: bool | None = None,
|
74 |
+
):
|
75 |
+
"""
|
76 |
+
Parameters:
|
77 |
+
value: A PIL BlurhashImage, numpy array, path or URL for the default value that BlurhashImage component is going to take. If callable, the function will be called whenever the app loads to set the initial value of the component.
|
78 |
+
height: Height of the displayed image in pixels.
|
79 |
+
width: Width of the displayed image in pixels.
|
80 |
+
image_mode: "RGB" if color, or "L" if black and white. See https://pillow.readthedocs.io/en/stable/handbook/concepts.html for other supported image modes and their meaning.
|
81 |
+
type: The format the image is converted to before being passed into the prediction function. "numpy" converts the image to a numpy array with shape (height, width, 3) and values from 0 to 255, "pil" converts the image to a PIL image object, "filepath" passes a str path to a temporary file containing the image.
|
82 |
+
label: The label for this component. Appears above the component and is also used as the header if there are a table of examples for this component. If None and used in a `gr.Interface`, the label will be the name of the parameter this component is assigned to.
|
83 |
+
every: If `value` is a callable, run the function 'every' number of seconds while the client connection is open. Has no effect otherwise. Queue must be enabled. The event can be accessed (e.g. to cancel it) via this component's .load_event attribute.
|
84 |
+
show_label: if True, will display label.
|
85 |
+
show_download_button: If True, will display button to download image.
|
86 |
+
container: If True, will place the component in a container - providing some extra padding around the border.
|
87 |
+
scale: relative width compared to adjacent Components in a Row. For example, if Component A has scale=2, and Component B has scale=1, A will be twice as wide as B. Should be an integer.
|
88 |
+
min_width: minimum pixel width, will wrap if not sufficient screen space to satisfy this value. If a certain scale value results in this Component being narrower than min_width, the min_width parameter will be respected first.
|
89 |
+
visible: If False, component will be hidden.
|
90 |
+
elem_id: An optional string that is assigned as the id of this component in the HTML DOM. Can be used for targeting CSS styles.
|
91 |
+
elem_classes: An optional list of strings that are assigned as the classes of this component in the HTML DOM. Can be used for targeting CSS styles.
|
92 |
+
render: If False, component will not render be rendered in the Blocks context. Should be used if the intention is to assign event listeners now but render the component later.
|
93 |
+
show_share_button: If True, will show a share icon in the corner of the component that allows user to share outputs to Hugging Face Spaces Discussions. If False, icon does not appear. If set to None (default behavior), then the icon appears if this Gradio app is launched on Spaces, but not otherwise.
|
94 |
+
"""
|
95 |
+
valid_types = ["numpy", "pil", "filepath"]
|
96 |
+
if type not in valid_types:
|
97 |
+
raise ValueError(
|
98 |
+
f"Invalid value for parameter `type`: {type}. Please choose from one of: {valid_types}"
|
99 |
+
)
|
100 |
+
self.type = type
|
101 |
+
self.height = height
|
102 |
+
self.width = width
|
103 |
+
self.image_mode = image_mode
|
104 |
+
|
105 |
+
self.show_download_button = show_download_button
|
106 |
+
self.show_share_button = (
|
107 |
+
(utils.get_space() is not None)
|
108 |
+
if show_share_button is None
|
109 |
+
else show_share_button
|
110 |
+
)
|
111 |
+
super().__init__(
|
112 |
+
label=label,
|
113 |
+
every=every,
|
114 |
+
show_label=show_label,
|
115 |
+
container=container,
|
116 |
+
scale=scale,
|
117 |
+
min_width=min_width,
|
118 |
+
visible=visible,
|
119 |
+
elem_id=elem_id,
|
120 |
+
elem_classes=elem_classes,
|
121 |
+
render=render,
|
122 |
+
value=value,
|
123 |
+
)
|
124 |
+
|
125 |
+
def preprocess(
|
126 |
+
self, payload: BlurhashFileData | None
|
127 |
+
) -> np.ndarray | _Image.Image | str | None:
|
128 |
+
if payload is None:
|
129 |
+
return payload
|
130 |
+
im = _Image.open(payload.image.path)
|
131 |
+
with warnings.catch_warnings():
|
132 |
+
warnings.simplefilter("ignore")
|
133 |
+
im = im.convert(self.image_mode)
|
134 |
+
return image_utils.format_image(
|
135 |
+
im, cast(Literal["numpy", "pil", "filepath"], self.type), self.GRADIO_CACHE
|
136 |
+
)
|
137 |
+
|
138 |
+
def postprocess(
|
139 |
+
self, value: np.ndarray | _Image.Image | str | Path | None
|
140 |
+
) -> BlurhashFileData | None:
|
141 |
+
if value is None:
|
142 |
+
return None
|
143 |
+
path = image_utils.save_image(value, self.GRADIO_CACHE)
|
144 |
+
image = _Image.open(path)
|
145 |
+
|
146 |
+
return BlurhashFileData(
|
147 |
+
image=FileData(path=path),
|
148 |
+
blurhash=blurhash.encode(image, x_components=5, y_components=5),
|
149 |
+
width=image.width,
|
150 |
+
height=image.height,
|
151 |
+
)
|
152 |
+
|
153 |
+
def as_example(self, input_data: str | Path | None) -> str | None:
|
154 |
+
if input_data is None:
|
155 |
+
return None
|
156 |
+
return processing_utils.move_resource_to_block_cache(input_data, self)
|
157 |
+
|
158 |
+
def example_inputs(self) -> Any:
|
159 |
+
return "https://raw.githubusercontent.com/gradio-app/gradio/main/test/test_files/bus.png"
|
160 |
+
|
161 |
+
|
162 |
+
def clear(self,
|
163 |
+
fn: Callable | None,
|
164 |
+
inputs: Component | Sequence[Component] | set[Component] | None = None,
|
165 |
+
outputs: Component | Sequence[Component] | None = None,
|
166 |
+
api_name: str | None | Literal[False] = None,
|
167 |
+
status_tracker: None = None,
|
168 |
+
scroll_to_output: bool = False,
|
169 |
+
show_progress: Literal["full", "minimal", "hidden"] = "full",
|
170 |
+
queue: bool | None = None,
|
171 |
+
batch: bool = False,
|
172 |
+
max_batch_size: int = 4,
|
173 |
+
preprocess: bool = True,
|
174 |
+
postprocess: bool = True,
|
175 |
+
cancels: dict[str, Any] | list[dict[str, Any]] | None = None,
|
176 |
+
every: float | None = None,
|
177 |
+
trigger_mode: Literal["once", "multiple", "always_last"] | None = None,
|
178 |
+
js: str | None = None,) -> Dependency:
|
179 |
+
"""
|
180 |
+
Parameters:
|
181 |
+
fn: the function to call when this event is triggered. Often a machine learning model's prediction function. Each parameter of the function corresponds to one input component, and the function should return a single value or a tuple of values, with each element in the tuple corresponding to one output component.
|
182 |
+
inputs: List of gradio.components to use as inputs. If the function takes no inputs, this should be an empty list.
|
183 |
+
outputs: List of gradio.components to use as outputs. If the function returns no outputs, this should be an empty list.
|
184 |
+
api_name: Defines how the endpoint appears in the API docs. Can be a string, None, or False. If False, the endpoint will not be exposed in the api docs. If set to None, the endpoint will be exposed in the api docs as an unnamed endpoint, although this behavior will be changed in Gradio 4.0. If set to a string, the endpoint will be exposed in the api docs with the given name.
|
185 |
+
scroll_to_output: If True, will scroll to output component on completion
|
186 |
+
show_progress: If True, will show progress animation while pending
|
187 |
+
queue: If True, will place the request on the queue, if the queue has been enabled. If False, will not put this event on the queue, even if the queue has been enabled. If None, will use the queue setting of the gradio app.
|
188 |
+
batch: If True, then the function should process a batch of inputs, meaning that it should accept a list of input values for each parameter. The lists should be of equal length (and be up to length `max_batch_size`). The function is then *required* to return a tuple of lists (even if there is only 1 output component), with each list in the tuple corresponding to one output component.
|
189 |
+
max_batch_size: Maximum number of inputs to batch together if this is called from the queue (only relevant if batch=True)
|
190 |
+
preprocess: If False, will not run preprocessing of component data before running 'fn' (e.g. leaving it as a base64 string if this method is called with the `Image` component).
|
191 |
+
postprocess: If False, will not run postprocessing of component data before returning 'fn' output to the browser.
|
192 |
+
cancels: A list of other events to cancel when this listener is triggered. For example, setting cancels=[click_event] will cancel the click_event, where click_event is the return value of another components .click method. Functions that have not yet run (or generators that are iterating) will be cancelled, but functions that are currently running will be allowed to finish.
|
193 |
+
every: Run this event 'every' number of seconds while the client connection is open. Interpreted in seconds. Queue must be enabled.
|
194 |
+
trigger_mode: If "once" (default for all events except `.change()`) would not allow any submissions while an event is pending. If set to "multiple", unlimited submissions are allowed while pending, and "always_last" (default for `.change()` event) would allow a second submission after the pending event is complete.
|
195 |
+
js: Optional frontend js method to run before running 'fn'. Input arguments for js method are values of 'inputs' and 'outputs', return should be a list of values for output components.
|
196 |
+
"""
|
197 |
+
...
|
198 |
+
|
199 |
+
def change(self,
|
200 |
+
fn: Callable | None,
|
201 |
+
inputs: Component | Sequence[Component] | set[Component] | None = None,
|
202 |
+
outputs: Component | Sequence[Component] | None = None,
|
203 |
+
api_name: str | None | Literal[False] = None,
|
204 |
+
status_tracker: None = None,
|
205 |
+
scroll_to_output: bool = False,
|
206 |
+
show_progress: Literal["full", "minimal", "hidden"] = "full",
|
207 |
+
queue: bool | None = None,
|
208 |
+
batch: bool = False,
|
209 |
+
max_batch_size: int = 4,
|
210 |
+
preprocess: bool = True,
|
211 |
+
postprocess: bool = True,
|
212 |
+
cancels: dict[str, Any] | list[dict[str, Any]] | None = None,
|
213 |
+
every: float | None = None,
|
214 |
+
trigger_mode: Literal["once", "multiple", "always_last"] | None = None,
|
215 |
+
js: str | None = None,) -> Dependency:
|
216 |
+
"""
|
217 |
+
Parameters:
|
218 |
+
fn: the function to call when this event is triggered. Often a machine learning model's prediction function. Each parameter of the function corresponds to one input component, and the function should return a single value or a tuple of values, with each element in the tuple corresponding to one output component.
|
219 |
+
inputs: List of gradio.components to use as inputs. If the function takes no inputs, this should be an empty list.
|
220 |
+
outputs: List of gradio.components to use as outputs. If the function returns no outputs, this should be an empty list.
|
221 |
+
api_name: Defines how the endpoint appears in the API docs. Can be a string, None, or False. If False, the endpoint will not be exposed in the api docs. If set to None, the endpoint will be exposed in the api docs as an unnamed endpoint, although this behavior will be changed in Gradio 4.0. If set to a string, the endpoint will be exposed in the api docs with the given name.
|
222 |
+
scroll_to_output: If True, will scroll to output component on completion
|
223 |
+
show_progress: If True, will show progress animation while pending
|
224 |
+
queue: If True, will place the request on the queue, if the queue has been enabled. If False, will not put this event on the queue, even if the queue has been enabled. If None, will use the queue setting of the gradio app.
|
225 |
+
batch: If True, then the function should process a batch of inputs, meaning that it should accept a list of input values for each parameter. The lists should be of equal length (and be up to length `max_batch_size`). The function is then *required* to return a tuple of lists (even if there is only 1 output component), with each list in the tuple corresponding to one output component.
|
226 |
+
max_batch_size: Maximum number of inputs to batch together if this is called from the queue (only relevant if batch=True)
|
227 |
+
preprocess: If False, will not run preprocessing of component data before running 'fn' (e.g. leaving it as a base64 string if this method is called with the `Image` component).
|
228 |
+
postprocess: If False, will not run postprocessing of component data before returning 'fn' output to the browser.
|
229 |
+
cancels: A list of other events to cancel when this listener is triggered. For example, setting cancels=[click_event] will cancel the click_event, where click_event is the return value of another components .click method. Functions that have not yet run (or generators that are iterating) will be cancelled, but functions that are currently running will be allowed to finish.
|
230 |
+
every: Run this event 'every' number of seconds while the client connection is open. Interpreted in seconds. Queue must be enabled.
|
231 |
+
trigger_mode: If "once" (default for all events except `.change()`) would not allow any submissions while an event is pending. If set to "multiple", unlimited submissions are allowed while pending, and "always_last" (default for `.change()` event) would allow a second submission after the pending event is complete.
|
232 |
+
js: Optional frontend js method to run before running 'fn'. Input arguments for js method are values of 'inputs' and 'outputs', return should be a list of values for output components.
|
233 |
+
"""
|
234 |
+
...
|
235 |
+
|
236 |
+
def stream(self,
|
237 |
+
fn: Callable | None,
|
238 |
+
inputs: Component | Sequence[Component] | set[Component] | None = None,
|
239 |
+
outputs: Component | Sequence[Component] | None = None,
|
240 |
+
api_name: str | None | Literal[False] = None,
|
241 |
+
status_tracker: None = None,
|
242 |
+
scroll_to_output: bool = False,
|
243 |
+
show_progress: Literal["full", "minimal", "hidden"] = "full",
|
244 |
+
queue: bool | None = None,
|
245 |
+
batch: bool = False,
|
246 |
+
max_batch_size: int = 4,
|
247 |
+
preprocess: bool = True,
|
248 |
+
postprocess: bool = True,
|
249 |
+
cancels: dict[str, Any] | list[dict[str, Any]] | None = None,
|
250 |
+
every: float | None = None,
|
251 |
+
trigger_mode: Literal["once", "multiple", "always_last"] | None = None,
|
252 |
+
js: str | None = None,) -> Dependency:
|
253 |
+
"""
|
254 |
+
Parameters:
|
255 |
+
fn: the function to call when this event is triggered. Often a machine learning model's prediction function. Each parameter of the function corresponds to one input component, and the function should return a single value or a tuple of values, with each element in the tuple corresponding to one output component.
|
256 |
+
inputs: List of gradio.components to use as inputs. If the function takes no inputs, this should be an empty list.
|
257 |
+
outputs: List of gradio.components to use as outputs. If the function returns no outputs, this should be an empty list.
|
258 |
+
api_name: Defines how the endpoint appears in the API docs. Can be a string, None, or False. If False, the endpoint will not be exposed in the api docs. If set to None, the endpoint will be exposed in the api docs as an unnamed endpoint, although this behavior will be changed in Gradio 4.0. If set to a string, the endpoint will be exposed in the api docs with the given name.
|
259 |
+
scroll_to_output: If True, will scroll to output component on completion
|
260 |
+
show_progress: If True, will show progress animation while pending
|
261 |
+
queue: If True, will place the request on the queue, if the queue has been enabled. If False, will not put this event on the queue, even if the queue has been enabled. If None, will use the queue setting of the gradio app.
|
262 |
+
batch: If True, then the function should process a batch of inputs, meaning that it should accept a list of input values for each parameter. The lists should be of equal length (and be up to length `max_batch_size`). The function is then *required* to return a tuple of lists (even if there is only 1 output component), with each list in the tuple corresponding to one output component.
|
263 |
+
max_batch_size: Maximum number of inputs to batch together if this is called from the queue (only relevant if batch=True)
|
264 |
+
preprocess: If False, will not run preprocessing of component data before running 'fn' (e.g. leaving it as a base64 string if this method is called with the `Image` component).
|
265 |
+
postprocess: If False, will not run postprocessing of component data before returning 'fn' output to the browser.
|
266 |
+
cancels: A list of other events to cancel when this listener is triggered. For example, setting cancels=[click_event] will cancel the click_event, where click_event is the return value of another components .click method. Functions that have not yet run (or generators that are iterating) will be cancelled, but functions that are currently running will be allowed to finish.
|
267 |
+
every: Run this event 'every' number of seconds while the client connection is open. Interpreted in seconds. Queue must be enabled.
|
268 |
+
trigger_mode: If "once" (default for all events except `.change()`) would not allow any submissions while an event is pending. If set to "multiple", unlimited submissions are allowed while pending, and "always_last" (default for `.change()` event) would allow a second submission after the pending event is complete.
|
269 |
+
js: Optional frontend js method to run before running 'fn'. Input arguments for js method are values of 'inputs' and 'outputs', return should be a list of values for output components.
|
270 |
+
"""
|
271 |
+
...
|
272 |
+
|
273 |
+
def select(self,
|
274 |
+
fn: Callable | None,
|
275 |
+
inputs: Component | Sequence[Component] | set[Component] | None = None,
|
276 |
+
outputs: Component | Sequence[Component] | None = None,
|
277 |
+
api_name: str | None | Literal[False] = None,
|
278 |
+
status_tracker: None = None,
|
279 |
+
scroll_to_output: bool = False,
|
280 |
+
show_progress: Literal["full", "minimal", "hidden"] = "full",
|
281 |
+
queue: bool | None = None,
|
282 |
+
batch: bool = False,
|
283 |
+
max_batch_size: int = 4,
|
284 |
+
preprocess: bool = True,
|
285 |
+
postprocess: bool = True,
|
286 |
+
cancels: dict[str, Any] | list[dict[str, Any]] | None = None,
|
287 |
+
every: float | None = None,
|
288 |
+
trigger_mode: Literal["once", "multiple", "always_last"] | None = None,
|
289 |
+
js: str | None = None,) -> Dependency:
|
290 |
+
"""
|
291 |
+
Parameters:
|
292 |
+
fn: the function to call when this event is triggered. Often a machine learning model's prediction function. Each parameter of the function corresponds to one input component, and the function should return a single value or a tuple of values, with each element in the tuple corresponding to one output component.
|
293 |
+
inputs: List of gradio.components to use as inputs. If the function takes no inputs, this should be an empty list.
|
294 |
+
outputs: List of gradio.components to use as outputs. If the function returns no outputs, this should be an empty list.
|
295 |
+
api_name: Defines how the endpoint appears in the API docs. Can be a string, None, or False. If False, the endpoint will not be exposed in the api docs. If set to None, the endpoint will be exposed in the api docs as an unnamed endpoint, although this behavior will be changed in Gradio 4.0. If set to a string, the endpoint will be exposed in the api docs with the given name.
|
296 |
+
scroll_to_output: If True, will scroll to output component on completion
|
297 |
+
show_progress: If True, will show progress animation while pending
|
298 |
+
queue: If True, will place the request on the queue, if the queue has been enabled. If False, will not put this event on the queue, even if the queue has been enabled. If None, will use the queue setting of the gradio app.
|
299 |
+
batch: If True, then the function should process a batch of inputs, meaning that it should accept a list of input values for each parameter. The lists should be of equal length (and be up to length `max_batch_size`). The function is then *required* to return a tuple of lists (even if there is only 1 output component), with each list in the tuple corresponding to one output component.
|
300 |
+
max_batch_size: Maximum number of inputs to batch together if this is called from the queue (only relevant if batch=True)
|
301 |
+
preprocess: If False, will not run preprocessing of component data before running 'fn' (e.g. leaving it as a base64 string if this method is called with the `Image` component).
|
302 |
+
postprocess: If False, will not run postprocessing of component data before returning 'fn' output to the browser.
|
303 |
+
cancels: A list of other events to cancel when this listener is triggered. For example, setting cancels=[click_event] will cancel the click_event, where click_event is the return value of another components .click method. Functions that have not yet run (or generators that are iterating) will be cancelled, but functions that are currently running will be allowed to finish.
|
304 |
+
every: Run this event 'every' number of seconds while the client connection is open. Interpreted in seconds. Queue must be enabled.
|
305 |
+
trigger_mode: If "once" (default for all events except `.change()`) would not allow any submissions while an event is pending. If set to "multiple", unlimited submissions are allowed while pending, and "always_last" (default for `.change()` event) would allow a second submission after the pending event is complete.
|
306 |
+
js: Optional frontend js method to run before running 'fn'. Input arguments for js method are values of 'inputs' and 'outputs', return should be a list of values for output components.
|
307 |
+
"""
|
308 |
+
...
|
309 |
+
|
310 |
+
def upload(self,
|
311 |
+
fn: Callable | None,
|
312 |
+
inputs: Component | Sequence[Component] | set[Component] | None = None,
|
313 |
+
outputs: Component | Sequence[Component] | None = None,
|
314 |
+
api_name: str | None | Literal[False] = None,
|
315 |
+
status_tracker: None = None,
|
316 |
+
scroll_to_output: bool = False,
|
317 |
+
show_progress: Literal["full", "minimal", "hidden"] = "full",
|
318 |
+
queue: bool | None = None,
|
319 |
+
batch: bool = False,
|
320 |
+
max_batch_size: int = 4,
|
321 |
+
preprocess: bool = True,
|
322 |
+
postprocess: bool = True,
|
323 |
+
cancels: dict[str, Any] | list[dict[str, Any]] | None = None,
|
324 |
+
every: float | None = None,
|
325 |
+
trigger_mode: Literal["once", "multiple", "always_last"] | None = None,
|
326 |
+
js: str | None = None,) -> Dependency:
|
327 |
+
"""
|
328 |
+
Parameters:
|
329 |
+
fn: the function to call when this event is triggered. Often a machine learning model's prediction function. Each parameter of the function corresponds to one input component, and the function should return a single value or a tuple of values, with each element in the tuple corresponding to one output component.
|
330 |
+
inputs: List of gradio.components to use as inputs. If the function takes no inputs, this should be an empty list.
|
331 |
+
outputs: List of gradio.components to use as outputs. If the function returns no outputs, this should be an empty list.
|
332 |
+
api_name: Defines how the endpoint appears in the API docs. Can be a string, None, or False. If False, the endpoint will not be exposed in the api docs. If set to None, the endpoint will be exposed in the api docs as an unnamed endpoint, although this behavior will be changed in Gradio 4.0. If set to a string, the endpoint will be exposed in the api docs with the given name.
|
333 |
+
scroll_to_output: If True, will scroll to output component on completion
|
334 |
+
show_progress: If True, will show progress animation while pending
|
335 |
+
queue: If True, will place the request on the queue, if the queue has been enabled. If False, will not put this event on the queue, even if the queue has been enabled. If None, will use the queue setting of the gradio app.
|
336 |
+
batch: If True, then the function should process a batch of inputs, meaning that it should accept a list of input values for each parameter. The lists should be of equal length (and be up to length `max_batch_size`). The function is then *required* to return a tuple of lists (even if there is only 1 output component), with each list in the tuple corresponding to one output component.
|
337 |
+
max_batch_size: Maximum number of inputs to batch together if this is called from the queue (only relevant if batch=True)
|
338 |
+
preprocess: If False, will not run preprocessing of component data before running 'fn' (e.g. leaving it as a base64 string if this method is called with the `Image` component).
|
339 |
+
postprocess: If False, will not run postprocessing of component data before returning 'fn' output to the browser.
|
340 |
+
cancels: A list of other events to cancel when this listener is triggered. For example, setting cancels=[click_event] will cancel the click_event, where click_event is the return value of another components .click method. Functions that have not yet run (or generators that are iterating) will be cancelled, but functions that are currently running will be allowed to finish.
|
341 |
+
every: Run this event 'every' number of seconds while the client connection is open. Interpreted in seconds. Queue must be enabled.
|
342 |
+
trigger_mode: If "once" (default for all events except `.change()`) would not allow any submissions while an event is pending. If set to "multiple", unlimited submissions are allowed while pending, and "always_last" (default for `.change()` event) would allow a second submission after the pending event is complete.
|
343 |
+
js: Optional frontend js method to run before running 'fn'. Input arguments for js method are values of 'inputs' and 'outputs', return should be a list of values for output components.
|
344 |
+
"""
|
345 |
+
...
|
src/backend/gradio_blurhashimage/templates/component/index.js
ADDED
@@ -0,0 +1,4144 @@
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|
1 |
+
const Ln = [
|
2 |
+
{ color: "red", primary: 600, secondary: 100 },
|
3 |
+
{ color: "green", primary: 600, secondary: 100 },
|
4 |
+
{ color: "blue", primary: 600, secondary: 100 },
|
5 |
+
{ color: "yellow", primary: 500, secondary: 100 },
|
6 |
+
{ color: "purple", primary: 600, secondary: 100 },
|
7 |
+
{ color: "teal", primary: 600, secondary: 100 },
|
8 |
+
{ color: "orange", primary: 600, secondary: 100 },
|
9 |
+
{ color: "cyan", primary: 600, secondary: 100 },
|
10 |
+
{ color: "lime", primary: 500, secondary: 100 },
|
11 |
+
{ color: "pink", primary: 600, secondary: 100 }
|
12 |
+
], ht = {
|
13 |
+
inherit: "inherit",
|
14 |
+
current: "currentColor",
|
15 |
+
transparent: "transparent",
|
16 |
+
black: "#000",
|
17 |
+
white: "#fff",
|
18 |
+
slate: {
|
19 |
+
50: "#f8fafc",
|
20 |
+
100: "#f1f5f9",
|
21 |
+
200: "#e2e8f0",
|
22 |
+
300: "#cbd5e1",
|
23 |
+
400: "#94a3b8",
|
24 |
+
500: "#64748b",
|
25 |
+
600: "#475569",
|
26 |
+
700: "#334155",
|
27 |
+
800: "#1e293b",
|
28 |
+
900: "#0f172a",
|
29 |
+
950: "#020617"
|
30 |
+
},
|
31 |
+
gray: {
|
32 |
+
50: "#f9fafb",
|
33 |
+
100: "#f3f4f6",
|
34 |
+
200: "#e5e7eb",
|
35 |
+
300: "#d1d5db",
|
36 |
+
400: "#9ca3af",
|
37 |
+
500: "#6b7280",
|
38 |
+
600: "#4b5563",
|
39 |
+
700: "#374151",
|
40 |
+
800: "#1f2937",
|
41 |
+
900: "#111827",
|
42 |
+
950: "#030712"
|
43 |
+
},
|
44 |
+
zinc: {
|
45 |
+
50: "#fafafa",
|
46 |
+
100: "#f4f4f5",
|
47 |
+
200: "#e4e4e7",
|
48 |
+
300: "#d4d4d8",
|
49 |
+
400: "#a1a1aa",
|
50 |
+
500: "#71717a",
|
51 |
+
600: "#52525b",
|
52 |
+
700: "#3f3f46",
|
53 |
+
800: "#27272a",
|
54 |
+
900: "#18181b",
|
55 |
+
950: "#09090b"
|
56 |
+
},
|
57 |
+
neutral: {
|
58 |
+
50: "#fafafa",
|
59 |
+
100: "#f5f5f5",
|
60 |
+
200: "#e5e5e5",
|
61 |
+
300: "#d4d4d4",
|
62 |
+
400: "#a3a3a3",
|
63 |
+
500: "#737373",
|
64 |
+
600: "#525252",
|
65 |
+
700: "#404040",
|
66 |
+
800: "#262626",
|
67 |
+
900: "#171717",
|
68 |
+
950: "#0a0a0a"
|
69 |
+
},
|
70 |
+
stone: {
|
71 |
+
50: "#fafaf9",
|
72 |
+
100: "#f5f5f4",
|
73 |
+
200: "#e7e5e4",
|
74 |
+
300: "#d6d3d1",
|
75 |
+
400: "#a8a29e",
|
76 |
+
500: "#78716c",
|
77 |
+
600: "#57534e",
|
78 |
+
700: "#44403c",
|
79 |
+
800: "#292524",
|
80 |
+
900: "#1c1917",
|
81 |
+
950: "#0c0a09"
|
82 |
+
},
|
83 |
+
red: {
|
84 |
+
50: "#fef2f2",
|
85 |
+
100: "#fee2e2",
|
86 |
+
200: "#fecaca",
|
87 |
+
300: "#fca5a5",
|
88 |
+
400: "#f87171",
|
89 |
+
500: "#ef4444",
|
90 |
+
600: "#dc2626",
|
91 |
+
700: "#b91c1c",
|
92 |
+
800: "#991b1b",
|
93 |
+
900: "#7f1d1d",
|
94 |
+
950: "#450a0a"
|
95 |
+
},
|
96 |
+
orange: {
|
97 |
+
50: "#fff7ed",
|
98 |
+
100: "#ffedd5",
|
99 |
+
200: "#fed7aa",
|
100 |
+
300: "#fdba74",
|
101 |
+
400: "#fb923c",
|
102 |
+
500: "#f97316",
|
103 |
+
600: "#ea580c",
|
104 |
+
700: "#c2410c",
|
105 |
+
800: "#9a3412",
|
106 |
+
900: "#7c2d12",
|
107 |
+
950: "#431407"
|
108 |
+
},
|
109 |
+
amber: {
|
110 |
+
50: "#fffbeb",
|
111 |
+
100: "#fef3c7",
|
112 |
+
200: "#fde68a",
|
113 |
+
300: "#fcd34d",
|
114 |
+
400: "#fbbf24",
|
115 |
+
500: "#f59e0b",
|
116 |
+
600: "#d97706",
|
117 |
+
700: "#b45309",
|
118 |
+
800: "#92400e",
|
119 |
+
900: "#78350f",
|
120 |
+
950: "#451a03"
|
121 |
+
},
|
122 |
+
yellow: {
|
123 |
+
50: "#fefce8",
|
124 |
+
100: "#fef9c3",
|
125 |
+
200: "#fef08a",
|
126 |
+
300: "#fde047",
|
127 |
+
400: "#facc15",
|
128 |
+
500: "#eab308",
|
129 |
+
600: "#ca8a04",
|
130 |
+
700: "#a16207",
|
131 |
+
800: "#854d0e",
|
132 |
+
900: "#713f12",
|
133 |
+
950: "#422006"
|
134 |
+
},
|
135 |
+
lime: {
|
136 |
+
50: "#f7fee7",
|
137 |
+
100: "#ecfccb",
|
138 |
+
200: "#d9f99d",
|
139 |
+
300: "#bef264",
|
140 |
+
400: "#a3e635",
|
141 |
+
500: "#84cc16",
|
142 |
+
600: "#65a30d",
|
143 |
+
700: "#4d7c0f",
|
144 |
+
800: "#3f6212",
|
145 |
+
900: "#365314",
|
146 |
+
950: "#1a2e05"
|
147 |
+
},
|
148 |
+
green: {
|
149 |
+
50: "#f0fdf4",
|
150 |
+
100: "#dcfce7",
|
151 |
+
200: "#bbf7d0",
|
152 |
+
300: "#86efac",
|
153 |
+
400: "#4ade80",
|
154 |
+
500: "#22c55e",
|
155 |
+
600: "#16a34a",
|
156 |
+
700: "#15803d",
|
157 |
+
800: "#166534",
|
158 |
+
900: "#14532d",
|
159 |
+
950: "#052e16"
|
160 |
+
},
|
161 |
+
emerald: {
|
162 |
+
50: "#ecfdf5",
|
163 |
+
100: "#d1fae5",
|
164 |
+
200: "#a7f3d0",
|
165 |
+
300: "#6ee7b7",
|
166 |
+
400: "#34d399",
|
167 |
+
500: "#10b981",
|
168 |
+
600: "#059669",
|
169 |
+
700: "#047857",
|
170 |
+
800: "#065f46",
|
171 |
+
900: "#064e3b",
|
172 |
+
950: "#022c22"
|
173 |
+
},
|
174 |
+
teal: {
|
175 |
+
50: "#f0fdfa",
|
176 |
+
100: "#ccfbf1",
|
177 |
+
200: "#99f6e4",
|
178 |
+
300: "#5eead4",
|
179 |
+
400: "#2dd4bf",
|
180 |
+
500: "#14b8a6",
|
181 |
+
600: "#0d9488",
|
182 |
+
700: "#0f766e",
|
183 |
+
800: "#115e59",
|
184 |
+
900: "#134e4a",
|
185 |
+
950: "#042f2e"
|
186 |
+
},
|
187 |
+
cyan: {
|
188 |
+
50: "#ecfeff",
|
189 |
+
100: "#cffafe",
|
190 |
+
200: "#a5f3fc",
|
191 |
+
300: "#67e8f9",
|
192 |
+
400: "#22d3ee",
|
193 |
+
500: "#06b6d4",
|
194 |
+
600: "#0891b2",
|
195 |
+
700: "#0e7490",
|
196 |
+
800: "#155e75",
|
197 |
+
900: "#164e63",
|
198 |
+
950: "#083344"
|
199 |
+
},
|
200 |
+
sky: {
|
201 |
+
50: "#f0f9ff",
|
202 |
+
100: "#e0f2fe",
|
203 |
+
200: "#bae6fd",
|
204 |
+
300: "#7dd3fc",
|
205 |
+
400: "#38bdf8",
|
206 |
+
500: "#0ea5e9",
|
207 |
+
600: "#0284c7",
|
208 |
+
700: "#0369a1",
|
209 |
+
800: "#075985",
|
210 |
+
900: "#0c4a6e",
|
211 |
+
950: "#082f49"
|
212 |
+
},
|
213 |
+
blue: {
|
214 |
+
50: "#eff6ff",
|
215 |
+
100: "#dbeafe",
|
216 |
+
200: "#bfdbfe",
|
217 |
+
300: "#93c5fd",
|
218 |
+
400: "#60a5fa",
|
219 |
+
500: "#3b82f6",
|
220 |
+
600: "#2563eb",
|
221 |
+
700: "#1d4ed8",
|
222 |
+
800: "#1e40af",
|
223 |
+
900: "#1e3a8a",
|
224 |
+
950: "#172554"
|
225 |
+
},
|
226 |
+
indigo: {
|
227 |
+
50: "#eef2ff",
|
228 |
+
100: "#e0e7ff",
|
229 |
+
200: "#c7d2fe",
|
230 |
+
300: "#a5b4fc",
|
231 |
+
400: "#818cf8",
|
232 |
+
500: "#6366f1",
|
233 |
+
600: "#4f46e5",
|
234 |
+
700: "#4338ca",
|
235 |
+
800: "#3730a3",
|
236 |
+
900: "#312e81",
|
237 |
+
950: "#1e1b4b"
|
238 |
+
},
|
239 |
+
violet: {
|
240 |
+
50: "#f5f3ff",
|
241 |
+
100: "#ede9fe",
|
242 |
+
200: "#ddd6fe",
|
243 |
+
300: "#c4b5fd",
|
244 |
+
400: "#a78bfa",
|
245 |
+
500: "#8b5cf6",
|
246 |
+
600: "#7c3aed",
|
247 |
+
700: "#6d28d9",
|
248 |
+
800: "#5b21b6",
|
249 |
+
900: "#4c1d95",
|
250 |
+
950: "#2e1065"
|
251 |
+
},
|
252 |
+
purple: {
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253 |
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50: "#faf5ff",
|
254 |
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100: "#f3e8ff",
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255 |
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200: "#e9d5ff",
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256 |
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300: "#d8b4fe",
|
257 |
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400: "#c084fc",
|
258 |
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500: "#a855f7",
|
259 |
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600: "#9333ea",
|
260 |
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700: "#7e22ce",
|
261 |
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800: "#6b21a8",
|
262 |
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900: "#581c87",
|
263 |
+
950: "#3b0764"
|
264 |
+
},
|
265 |
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fuchsia: {
|
266 |
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50: "#fdf4ff",
|
267 |
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100: "#fae8ff",
|
268 |
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200: "#f5d0fe",
|
269 |
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300: "#f0abfc",
|
270 |
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400: "#e879f9",
|
271 |
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500: "#d946ef",
|
272 |
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600: "#c026d3",
|
273 |
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700: "#a21caf",
|
274 |
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800: "#86198f",
|
275 |
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900: "#701a75",
|
276 |
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950: "#4a044e"
|
277 |
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},
|
278 |
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pink: {
|
279 |
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50: "#fdf2f8",
|
280 |
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100: "#fce7f3",
|
281 |
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200: "#fbcfe8",
|
282 |
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300: "#f9a8d4",
|
283 |
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400: "#f472b6",
|
284 |
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500: "#ec4899",
|
285 |
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600: "#db2777",
|
286 |
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700: "#be185d",
|
287 |
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800: "#9d174d",
|
288 |
+
900: "#831843",
|
289 |
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950: "#500724"
|
290 |
+
},
|
291 |
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rose: {
|
292 |
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50: "#fff1f2",
|
293 |
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100: "#ffe4e6",
|
294 |
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200: "#fecdd3",
|
295 |
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300: "#fda4af",
|
296 |
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400: "#fb7185",
|
297 |
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500: "#f43f5e",
|
298 |
+
600: "#e11d48",
|
299 |
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700: "#be123c",
|
300 |
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800: "#9f1239",
|
301 |
+
900: "#881337",
|
302 |
+
950: "#4c0519"
|
303 |
+
}
|
304 |
+
};
|
305 |
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Ln.reduce(
|
306 |
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(l, { color: e, primary: t, secondary: n }) => ({
|
307 |
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...l,
|
308 |
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[e]: {
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309 |
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primary: ht[e][t],
|
310 |
+
secondary: ht[e][n]
|
311 |
+
}
|
312 |
+
}),
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313 |
+
{}
|
314 |
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);
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315 |
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function zn(l) {
|
316 |
+
let e, t = l[0], n = 1;
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317 |
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for (; n < l.length; ) {
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318 |
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const i = l[n], s = l[n + 1];
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319 |
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if (n += 2, (i === "optionalAccess" || i === "optionalCall") && t == null)
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320 |
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return;
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321 |
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i === "access" || i === "optionalAccess" ? (e = t, t = s(t)) : (i === "call" || i === "optionalCall") && (t = s((...o) => t.call(e, ...o)), e = void 0);
|
322 |
+
}
|
323 |
+
return t;
|
324 |
+
}
|
325 |
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class Ae extends Error {
|
326 |
+
constructor(e) {
|
327 |
+
super(e), this.name = "ShareError";
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328 |
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}
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329 |
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}
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330 |
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async function An(l, e) {
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331 |
+
if (window.__gradio_space__ == null)
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332 |
+
throw new Ae("Must be on Spaces to share.");
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333 |
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let t, n, i;
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334 |
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if (e === "url") {
|
335 |
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const r = await fetch(l);
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336 |
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t = await r.blob(), n = r.headers.get("content-type") || "", i = r.headers.get("content-disposition") || "";
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337 |
+
} else
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338 |
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t = Bn(l), n = l.split(";")[0].split(":")[1], i = "file" + n.split("/")[1];
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339 |
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const s = new File([t], i, { type: n }), o = await fetch("https://huggingface.co/uploads", {
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340 |
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method: "POST",
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341 |
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body: s,
|
342 |
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headers: {
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343 |
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"Content-Type": s.type,
|
344 |
+
"X-Requested-With": "XMLHttpRequest"
|
345 |
+
}
|
346 |
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});
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347 |
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if (!o.ok) {
|
348 |
+
if (zn([o, "access", (r) => r.headers, "access", (r) => r.get, "call", (r) => r("content-type"), "optionalAccess", (r) => r.includes, "call", (r) => r("application/json")])) {
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349 |
+
const r = await o.json();
|
350 |
+
throw new Ae(`Upload failed: ${r.error}`);
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351 |
+
}
|
352 |
+
throw new Ae("Upload failed.");
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353 |
+
}
|
354 |
+
return await o.text();
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355 |
+
}
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356 |
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function Bn(l) {
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357 |
+
for (var e = l.split(","), t = e[0].match(/:(.*?);/)[1], n = atob(e[1]), i = n.length, s = new Uint8Array(i); i--; )
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358 |
+
s[i] = n.charCodeAt(i);
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359 |
+
return new Blob([s], { type: t });
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360 |
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361 |
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const {
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362 |
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SvelteComponent: Fn,
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assign: En,
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create_slot: Dn,
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detach: Rn,
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366 |
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element: Vn,
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367 |
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get_all_dirty_from_scope: Tn,
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368 |
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get_slot_changes: Pn,
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get_spread_update: Nn,
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370 |
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init: Xn,
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insert: Yn,
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372 |
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set_dynamic_element_data: gt,
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set_style: F,
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toggle_class: K,
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376 |
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transition_in: an,
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377 |
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transition_out: rn,
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378 |
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update_slot_base: Zn
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379 |
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} = window.__gradio__svelte__internal;
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380 |
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function Un(l) {
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381 |
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let e, t, n;
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const i = (
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/*#slots*/
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l[17].default
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), s = Dn(
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386 |
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i,
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387 |
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l,
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388 |
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/*$$scope*/
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389 |
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l[16],
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390 |
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null
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391 |
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);
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392 |
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let o = [
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393 |
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{ "data-testid": (
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394 |
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/*test_id*/
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395 |
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l[7]
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396 |
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) },
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397 |
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{ id: (
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398 |
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/*elem_id*/
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399 |
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l[2]
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400 |
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) },
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401 |
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{
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402 |
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class: t = "block " + /*elem_classes*/
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403 |
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l[3].join(" ") + " svelte-1t38q2d"
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404 |
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406 |
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for (let r = 0; r < o.length; r += 1)
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407 |
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a = En(a, o[r]);
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408 |
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409 |
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411 |
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l[14]
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414 |
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/*tag*/
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l[14]
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416 |
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)(e, a), K(
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417 |
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e,
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418 |
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"hidden",
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419 |
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/*visible*/
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420 |
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l[10] === !1
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422 |
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e,
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"padded",
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425 |
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l[6]
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427 |
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e,
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"border_focus",
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429 |
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/*border_mode*/
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430 |
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l[5] === "focus"
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), K(e, "hide-container", !/*explicit_call*/
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l[8] && !/*container*/
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433 |
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l[9]), F(e, "height", typeof /*height*/
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l[0] == "number" ? (
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435 |
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436 |
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l[0] + "px"
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) : void 0), F(e, "width", typeof /*width*/
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l[1] == "number" ? `calc(min(${/*width*/
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l[1]}px, 100%))` : void 0), F(
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e,
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"border-style",
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l[4]
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l[11] ? "visible" : "hidden"
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l[12]
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l[13]}px, 100%))`), F(e, "border-width", "var(--block-border-width)");
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456 |
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m(r, f) {
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458 |
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Yn(r, e, f), s && s.m(e, null), n = !0;
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p(r, f) {
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65536) && Zn(
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r,
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/*$$scope*/
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467 |
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r[16],
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n ? Pn(
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i,
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r[16],
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f,
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null
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475 |
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/*$$scope*/
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r[16]
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477 |
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null
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/*tag*/
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r[14]
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)(e, a = Nn(o, [
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(!n || f & /*test_id*/
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128) && { "data-testid": (
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/*test_id*/
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r[7]
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(!n || f & /*elem_id*/
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4) && { id: (
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/*elem_id*/
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r[2]
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r[3].join(" ") + " svelte-1t38q2d")) && { class: t }
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e,
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"hidden",
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/*visible*/
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r[6]
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1 && F(e, "height", typeof /*height*/
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r[0] == "number" ? (
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r[0] + "px"
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2 && F(e, "width", typeof /*width*/
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r[4]
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2048 && F(
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r[12]
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r && Rn(e), s && s.d(r);
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function On(l) {
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let e, t = (
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/*tag*/
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l[14] && Un(l)
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);
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return {
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c() {
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561 |
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t && t.c();
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p(n, [i]) {
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o(n) {
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function Hn(l, e, t) {
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m,
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u,
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i,
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n
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624 |
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626 |
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627 |
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const {
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628 |
+
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629 |
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append: Re,
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630 |
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attr: Se,
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create_component: Kn,
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632 |
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destroy_component: Jn,
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633 |
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detach: Qn,
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634 |
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element: bt,
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635 |
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init: xn,
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insert: $n,
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mount_component: el,
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safe_not_equal: tl,
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set_data: nl,
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space: ll,
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text: il,
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toggle_class: J,
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transition_in: sl,
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transition_out: ol
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function al(l) {
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let e, t, n, i, s, o;
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l[1]({}), {
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c() {
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l[0]
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"float",
|
659 |
+
/*float*/
|
660 |
+
l[4]
|
661 |
+
), J(
|
662 |
+
e,
|
663 |
+
"hide-label",
|
664 |
+
/*disable*/
|
665 |
+
l[3]
|
666 |
+
);
|
667 |
+
},
|
668 |
+
m(a, r) {
|
669 |
+
$n(a, e, r), Re(e, t), el(n, t, null), Re(e, i), Re(e, s), o = !0;
|
670 |
+
},
|
671 |
+
p(a, [r]) {
|
672 |
+
(!o || r & /*label*/
|
673 |
+
1) && nl(
|
674 |
+
s,
|
675 |
+
/*label*/
|
676 |
+
a[0]
|
677 |
+
), (!o || r & /*show_label*/
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678 |
+
4) && J(e, "hide", !/*show_label*/
|
679 |
+
a[2]), (!o || r & /*show_label*/
|
680 |
+
4) && J(e, "sr-only", !/*show_label*/
|
681 |
+
a[2]), (!o || r & /*float*/
|
682 |
+
16) && J(
|
683 |
+
e,
|
684 |
+
"float",
|
685 |
+
/*float*/
|
686 |
+
a[4]
|
687 |
+
), (!o || r & /*disable*/
|
688 |
+
8) && J(
|
689 |
+
e,
|
690 |
+
"hide-label",
|
691 |
+
/*disable*/
|
692 |
+
a[3]
|
693 |
+
);
|
694 |
+
},
|
695 |
+
i(a) {
|
696 |
+
o || (sl(n.$$.fragment, a), o = !0);
|
697 |
+
},
|
698 |
+
o(a) {
|
699 |
+
ol(n.$$.fragment, a), o = !1;
|
700 |
+
},
|
701 |
+
d(a) {
|
702 |
+
a && Qn(e), Jn(n);
|
703 |
+
}
|
704 |
+
};
|
705 |
+
}
|
706 |
+
function rl(l, e, t) {
|
707 |
+
let { label: n = null } = e, { Icon: i } = e, { show_label: s = !0 } = e, { disable: o = !1 } = e, { float: a = !0 } = e;
|
708 |
+
return l.$$set = (r) => {
|
709 |
+
"label" in r && t(0, n = r.label), "Icon" in r && t(1, i = r.Icon), "show_label" in r && t(2, s = r.show_label), "disable" in r && t(3, o = r.disable), "float" in r && t(4, a = r.float);
|
710 |
+
}, [n, i, s, o, a];
|
711 |
+
}
|
712 |
+
class fl extends Gn {
|
713 |
+
constructor(e) {
|
714 |
+
super(), xn(this, e, rl, al, tl, {
|
715 |
+
label: 0,
|
716 |
+
Icon: 1,
|
717 |
+
show_label: 2,
|
718 |
+
disable: 3,
|
719 |
+
float: 4
|
720 |
+
});
|
721 |
+
}
|
722 |
+
}
|
723 |
+
const {
|
724 |
+
SvelteComponent: _l,
|
725 |
+
append: Oe,
|
726 |
+
attr: ne,
|
727 |
+
bubble: cl,
|
728 |
+
create_component: ul,
|
729 |
+
destroy_component: dl,
|
730 |
+
detach: fn,
|
731 |
+
element: He,
|
732 |
+
init: ml,
|
733 |
+
insert: _n,
|
734 |
+
listen: hl,
|
735 |
+
mount_component: gl,
|
736 |
+
safe_not_equal: bl,
|
737 |
+
set_data: wl,
|
738 |
+
space: pl,
|
739 |
+
text: vl,
|
740 |
+
toggle_class: Q,
|
741 |
+
transition_in: kl,
|
742 |
+
transition_out: yl
|
743 |
+
} = window.__gradio__svelte__internal;
|
744 |
+
function wt(l) {
|
745 |
+
let e, t;
|
746 |
+
return {
|
747 |
+
c() {
|
748 |
+
e = He("span"), t = vl(
|
749 |
+
/*label*/
|
750 |
+
l[1]
|
751 |
+
), ne(e, "class", "svelte-xtz2g8");
|
752 |
+
},
|
753 |
+
m(n, i) {
|
754 |
+
_n(n, e, i), Oe(e, t);
|
755 |
+
},
|
756 |
+
p(n, i) {
|
757 |
+
i & /*label*/
|
758 |
+
2 && wl(
|
759 |
+
t,
|
760 |
+
/*label*/
|
761 |
+
n[1]
|
762 |
+
);
|
763 |
+
},
|
764 |
+
d(n) {
|
765 |
+
n && fn(e);
|
766 |
+
}
|
767 |
+
};
|
768 |
+
}
|
769 |
+
function Cl(l) {
|
770 |
+
let e, t, n, i, s, o, a, r = (
|
771 |
+
/*show_label*/
|
772 |
+
l[2] && wt(l)
|
773 |
+
);
|
774 |
+
return i = new /*Icon*/
|
775 |
+
l[0]({}), {
|
776 |
+
c() {
|
777 |
+
e = He("button"), r && r.c(), t = pl(), n = He("div"), ul(i.$$.fragment), ne(n, "class", "svelte-xtz2g8"), Q(
|
778 |
+
n,
|
779 |
+
"small",
|
780 |
+
/*size*/
|
781 |
+
l[4] === "small"
|
782 |
+
), Q(
|
783 |
+
n,
|
784 |
+
"large",
|
785 |
+
/*size*/
|
786 |
+
l[4] === "large"
|
787 |
+
), ne(
|
788 |
+
e,
|
789 |
+
"aria-label",
|
790 |
+
/*label*/
|
791 |
+
l[1]
|
792 |
+
), ne(
|
793 |
+
e,
|
794 |
+
"title",
|
795 |
+
/*label*/
|
796 |
+
l[1]
|
797 |
+
), ne(e, "class", "svelte-xtz2g8"), Q(
|
798 |
+
e,
|
799 |
+
"pending",
|
800 |
+
/*pending*/
|
801 |
+
l[3]
|
802 |
+
), Q(
|
803 |
+
e,
|
804 |
+
"padded",
|
805 |
+
/*padded*/
|
806 |
+
l[5]
|
807 |
+
);
|
808 |
+
},
|
809 |
+
m(f, _) {
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810 |
+
_n(f, e, _), r && r.m(e, null), Oe(e, t), Oe(e, n), gl(i, n, null), s = !0, o || (a = hl(
|
811 |
+
e,
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812 |
+
"click",
|
813 |
+
/*click_handler*/
|
814 |
+
l[6]
|
815 |
+
), o = !0);
|
816 |
+
},
|
817 |
+
p(f, [_]) {
|
818 |
+
/*show_label*/
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819 |
+
f[2] ? r ? r.p(f, _) : (r = wt(f), r.c(), r.m(e, t)) : r && (r.d(1), r = null), (!s || _ & /*size*/
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820 |
+
16) && Q(
|
821 |
+
n,
|
822 |
+
"small",
|
823 |
+
/*size*/
|
824 |
+
f[4] === "small"
|
825 |
+
), (!s || _ & /*size*/
|
826 |
+
16) && Q(
|
827 |
+
n,
|
828 |
+
"large",
|
829 |
+
/*size*/
|
830 |
+
f[4] === "large"
|
831 |
+
), (!s || _ & /*label*/
|
832 |
+
2) && ne(
|
833 |
+
e,
|
834 |
+
"aria-label",
|
835 |
+
/*label*/
|
836 |
+
f[1]
|
837 |
+
), (!s || _ & /*label*/
|
838 |
+
2) && ne(
|
839 |
+
e,
|
840 |
+
"title",
|
841 |
+
/*label*/
|
842 |
+
f[1]
|
843 |
+
), (!s || _ & /*pending*/
|
844 |
+
8) && Q(
|
845 |
+
e,
|
846 |
+
"pending",
|
847 |
+
/*pending*/
|
848 |
+
f[3]
|
849 |
+
), (!s || _ & /*padded*/
|
850 |
+
32) && Q(
|
851 |
+
e,
|
852 |
+
"padded",
|
853 |
+
/*padded*/
|
854 |
+
f[5]
|
855 |
+
);
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856 |
+
},
|
857 |
+
i(f) {
|
858 |
+
s || (kl(i.$$.fragment, f), s = !0);
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859 |
+
},
|
860 |
+
o(f) {
|
861 |
+
yl(i.$$.fragment, f), s = !1;
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862 |
+
},
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863 |
+
d(f) {
|
864 |
+
f && fn(e), r && r.d(), dl(i), o = !1, a();
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865 |
+
}
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866 |
+
};
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867 |
+
}
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868 |
+
function ql(l, e, t) {
|
869 |
+
let { Icon: n } = e, { label: i = "" } = e, { show_label: s = !1 } = e, { pending: o = !1 } = e, { size: a = "small" } = e, { padded: r = !0 } = e;
|
870 |
+
function f(_) {
|
871 |
+
cl.call(this, l, _);
|
872 |
+
}
|
873 |
+
return l.$$set = (_) => {
|
874 |
+
"Icon" in _ && t(0, n = _.Icon), "label" in _ && t(1, i = _.label), "show_label" in _ && t(2, s = _.show_label), "pending" in _ && t(3, o = _.pending), "size" in _ && t(4, a = _.size), "padded" in _ && t(5, r = _.padded);
|
875 |
+
}, [n, i, s, o, a, r, f];
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876 |
+
}
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877 |
+
class cn extends _l {
|
878 |
+
constructor(e) {
|
879 |
+
super(), ml(this, e, ql, Cl, bl, {
|
880 |
+
Icon: 0,
|
881 |
+
label: 1,
|
882 |
+
show_label: 2,
|
883 |
+
pending: 3,
|
884 |
+
size: 4,
|
885 |
+
padded: 5
|
886 |
+
});
|
887 |
+
}
|
888 |
+
}
|
889 |
+
const {
|
890 |
+
SvelteComponent: Sl,
|
891 |
+
append: Ml,
|
892 |
+
attr: Ve,
|
893 |
+
binding_callbacks: Il,
|
894 |
+
create_slot: Ll,
|
895 |
+
detach: zl,
|
896 |
+
element: pt,
|
897 |
+
get_all_dirty_from_scope: Al,
|
898 |
+
get_slot_changes: Bl,
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899 |
+
init: Fl,
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900 |
+
insert: El,
|
901 |
+
safe_not_equal: Dl,
|
902 |
+
toggle_class: x,
|
903 |
+
transition_in: Rl,
|
904 |
+
transition_out: Vl,
|
905 |
+
update_slot_base: Tl
|
906 |
+
} = window.__gradio__svelte__internal;
|
907 |
+
function Pl(l) {
|
908 |
+
let e, t, n;
|
909 |
+
const i = (
|
910 |
+
/*#slots*/
|
911 |
+
l[5].default
|
912 |
+
), s = Ll(
|
913 |
+
i,
|
914 |
+
l,
|
915 |
+
/*$$scope*/
|
916 |
+
l[4],
|
917 |
+
null
|
918 |
+
);
|
919 |
+
return {
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920 |
+
c() {
|
921 |
+
e = pt("div"), t = pt("div"), s && s.c(), Ve(t, "class", "icon svelte-3w3rth"), Ve(e, "class", "empty svelte-3w3rth"), Ve(e, "aria-label", "Empty value"), x(
|
922 |
+
e,
|
923 |
+
"small",
|
924 |
+
/*size*/
|
925 |
+
l[0] === "small"
|
926 |
+
), x(
|
927 |
+
e,
|
928 |
+
"large",
|
929 |
+
/*size*/
|
930 |
+
l[0] === "large"
|
931 |
+
), x(
|
932 |
+
e,
|
933 |
+
"unpadded_box",
|
934 |
+
/*unpadded_box*/
|
935 |
+
l[1]
|
936 |
+
), x(
|
937 |
+
e,
|
938 |
+
"small_parent",
|
939 |
+
/*parent_height*/
|
940 |
+
l[3]
|
941 |
+
);
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942 |
+
},
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943 |
+
m(o, a) {
|
944 |
+
El(o, e, a), Ml(e, t), s && s.m(t, null), l[6](e), n = !0;
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945 |
+
},
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946 |
+
p(o, [a]) {
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947 |
+
s && s.p && (!n || a & /*$$scope*/
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948 |
+
16) && Tl(
|
949 |
+
s,
|
950 |
+
i,
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951 |
+
o,
|
952 |
+
/*$$scope*/
|
953 |
+
o[4],
|
954 |
+
n ? Bl(
|
955 |
+
i,
|
956 |
+
/*$$scope*/
|
957 |
+
o[4],
|
958 |
+
a,
|
959 |
+
null
|
960 |
+
) : Al(
|
961 |
+
/*$$scope*/
|
962 |
+
o[4]
|
963 |
+
),
|
964 |
+
null
|
965 |
+
), (!n || a & /*size*/
|
966 |
+
1) && x(
|
967 |
+
e,
|
968 |
+
"small",
|
969 |
+
/*size*/
|
970 |
+
o[0] === "small"
|
971 |
+
), (!n || a & /*size*/
|
972 |
+
1) && x(
|
973 |
+
e,
|
974 |
+
"large",
|
975 |
+
/*size*/
|
976 |
+
o[0] === "large"
|
977 |
+
), (!n || a & /*unpadded_box*/
|
978 |
+
2) && x(
|
979 |
+
e,
|
980 |
+
"unpadded_box",
|
981 |
+
/*unpadded_box*/
|
982 |
+
o[1]
|
983 |
+
), (!n || a & /*parent_height*/
|
984 |
+
8) && x(
|
985 |
+
e,
|
986 |
+
"small_parent",
|
987 |
+
/*parent_height*/
|
988 |
+
o[3]
|
989 |
+
);
|
990 |
+
},
|
991 |
+
i(o) {
|
992 |
+
n || (Rl(s, o), n = !0);
|
993 |
+
},
|
994 |
+
o(o) {
|
995 |
+
Vl(s, o), n = !1;
|
996 |
+
},
|
997 |
+
d(o) {
|
998 |
+
o && zl(e), s && s.d(o), l[6](null);
|
999 |
+
}
|
1000 |
+
};
|
1001 |
+
}
|
1002 |
+
function Nl(l) {
|
1003 |
+
let e, t = l[0], n = 1;
|
1004 |
+
for (; n < l.length; ) {
|
1005 |
+
const i = l[n], s = l[n + 1];
|
1006 |
+
if (n += 2, (i === "optionalAccess" || i === "optionalCall") && t == null)
|
1007 |
+
return;
|
1008 |
+
i === "access" || i === "optionalAccess" ? (e = t, t = s(t)) : (i === "call" || i === "optionalCall") && (t = s((...o) => t.call(e, ...o)), e = void 0);
|
1009 |
+
}
|
1010 |
+
return t;
|
1011 |
+
}
|
1012 |
+
function Xl(l, e, t) {
|
1013 |
+
let n, { $$slots: i = {}, $$scope: s } = e, { size: o = "small" } = e, { unpadded_box: a = !1 } = e, r;
|
1014 |
+
function f(c) {
|
1015 |
+
if (!c)
|
1016 |
+
return !1;
|
1017 |
+
const { height: u } = c.getBoundingClientRect(), { height: d } = Nl([
|
1018 |
+
c,
|
1019 |
+
"access",
|
1020 |
+
(g) => g.parentElement,
|
1021 |
+
"optionalAccess",
|
1022 |
+
(g) => g.getBoundingClientRect,
|
1023 |
+
"call",
|
1024 |
+
(g) => g()
|
1025 |
+
]) || { height: u };
|
1026 |
+
return u > d + 2;
|
1027 |
+
}
|
1028 |
+
function _(c) {
|
1029 |
+
Il[c ? "unshift" : "push"](() => {
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1030 |
+
r = c, t(2, r);
|
1031 |
+
});
|
1032 |
+
}
|
1033 |
+
return l.$$set = (c) => {
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1034 |
+
"size" in c && t(0, o = c.size), "unpadded_box" in c && t(1, a = c.unpadded_box), "$$scope" in c && t(4, s = c.$$scope);
|
1035 |
+
}, l.$$.update = () => {
|
1036 |
+
l.$$.dirty & /*el*/
|
1037 |
+
4 && t(3, n = f(r));
|
1038 |
+
}, [o, a, r, n, s, i, _];
|
1039 |
+
}
|
1040 |
+
class Yl extends Sl {
|
1041 |
+
constructor(e) {
|
1042 |
+
super(), Fl(this, e, Xl, Pl, Dl, { size: 0, unpadded_box: 1 });
|
1043 |
+
}
|
1044 |
+
}
|
1045 |
+
const {
|
1046 |
+
SvelteComponent: jl,
|
1047 |
+
append: Zl,
|
1048 |
+
attr: ye,
|
1049 |
+
detach: Ul,
|
1050 |
+
init: Ol,
|
1051 |
+
insert: Hl,
|
1052 |
+
noop: Te,
|
1053 |
+
safe_not_equal: Wl,
|
1054 |
+
svg_element: vt
|
1055 |
+
} = window.__gradio__svelte__internal;
|
1056 |
+
function Gl(l) {
|
1057 |
+
let e, t;
|
1058 |
+
return {
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1059 |
+
c() {
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1060 |
+
e = vt("svg"), t = vt("path"), ye(t, "d", "M23,20a5,5,0,0,0-3.89,1.89L11.8,17.32a4.46,4.46,0,0,0,0-2.64l7.31-4.57A5,5,0,1,0,18,7a4.79,4.79,0,0,0,.2,1.32l-7.31,4.57a5,5,0,1,0,0,6.22l7.31,4.57A4.79,4.79,0,0,0,18,25a5,5,0,1,0,5-5ZM23,4a3,3,0,1,1-3,3A3,3,0,0,1,23,4ZM7,19a3,3,0,1,1,3-3A3,3,0,0,1,7,19Zm16,9a3,3,0,1,1,3-3A3,3,0,0,1,23,28Z"), ye(t, "fill", "currentColor"), ye(e, "id", "icon"), ye(e, "xmlns", "http://www.w3.org/2000/svg"), ye(e, "viewBox", "0 0 32 32");
|
1061 |
+
},
|
1062 |
+
m(n, i) {
|
1063 |
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Hl(n, e, i), Zl(e, t);
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1064 |
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},
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1065 |
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p: Te,
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i: Te,
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1067 |
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o: Te,
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1068 |
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d(n) {
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1069 |
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n && Ul(e);
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1070 |
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}
|
1071 |
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};
|
1072 |
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}
|
1073 |
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class Kl extends jl {
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1074 |
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constructor(e) {
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1075 |
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super(), Ol(this, e, null, Gl, Wl, {});
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1076 |
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}
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1077 |
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}
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1078 |
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const {
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1079 |
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SvelteComponent: Jl,
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1080 |
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append: Ql,
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attr: oe,
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detach: xl,
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1083 |
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init: $l,
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1084 |
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insert: ei,
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1085 |
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noop: Pe,
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1086 |
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safe_not_equal: ti,
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1087 |
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svg_element: kt
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1088 |
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} = window.__gradio__svelte__internal;
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1089 |
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function ni(l) {
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1090 |
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let e, t;
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1091 |
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1092 |
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c() {
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1093 |
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e = kt("svg"), t = kt("path"), oe(t, "fill", "currentColor"), oe(t, "d", "M26 24v4H6v-4H4v4a2 2 0 0 0 2 2h20a2 2 0 0 0 2-2v-4zm0-10l-1.41-1.41L17 20.17V2h-2v18.17l-7.59-7.58L6 14l10 10l10-10z"), oe(e, "xmlns", "http://www.w3.org/2000/svg"), oe(e, "width", "100%"), oe(e, "height", "100%"), oe(e, "viewBox", "0 0 32 32");
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1094 |
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},
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1095 |
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m(n, i) {
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1096 |
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ei(n, e, i), Ql(e, t);
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1097 |
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},
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1098 |
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p: Pe,
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1099 |
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i: Pe,
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1100 |
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o: Pe,
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1101 |
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d(n) {
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1102 |
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n && xl(e);
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1103 |
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}
|
1104 |
+
};
|
1105 |
+
}
|
1106 |
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class li extends Jl {
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1107 |
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constructor(e) {
|
1108 |
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super(), $l(this, e, null, ni, ti, {});
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1109 |
+
}
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1110 |
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}
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1111 |
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const {
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1112 |
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SvelteComponent: ii,
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1113 |
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append: Ne,
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1114 |
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attr: L,
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detach: si,
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init: oi,
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insert: ai,
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noop: Xe,
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safe_not_equal: ri,
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1120 |
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svg_element: Me
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1121 |
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} = window.__gradio__svelte__internal;
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1122 |
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function fi(l) {
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1123 |
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let e, t, n, i;
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1124 |
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1125 |
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c() {
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1126 |
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e = Me("svg"), t = Me("rect"), n = Me("circle"), i = Me("polyline"), L(t, "x", "3"), L(t, "y", "3"), L(t, "width", "18"), L(t, "height", "18"), L(t, "rx", "2"), L(t, "ry", "2"), L(n, "cx", "8.5"), L(n, "cy", "8.5"), L(n, "r", "1.5"), L(i, "points", "21 15 16 10 5 21"), L(e, "xmlns", "http://www.w3.org/2000/svg"), L(e, "width", "100%"), L(e, "height", "100%"), L(e, "viewBox", "0 0 24 24"), L(e, "fill", "none"), L(e, "stroke", "currentColor"), L(e, "stroke-width", "1.5"), L(e, "stroke-linecap", "round"), L(e, "stroke-linejoin", "round"), L(e, "class", "feather feather-image");
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1127 |
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},
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1128 |
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m(s, o) {
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1129 |
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ai(s, e, o), Ne(e, t), Ne(e, n), Ne(e, i);
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1130 |
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},
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1131 |
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p: Xe,
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1132 |
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i: Xe,
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1133 |
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o: Xe,
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1134 |
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d(s) {
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1135 |
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s && si(e);
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1136 |
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}
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1137 |
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};
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1138 |
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}
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1139 |
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let un = class extends ii {
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1140 |
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constructor(e) {
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1141 |
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super(), oi(this, e, null, fi, ri, {});
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1142 |
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}
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1143 |
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};
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1144 |
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const {
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1145 |
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SvelteComponent: _i,
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1146 |
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create_component: ci,
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1147 |
+
destroy_component: ui,
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1148 |
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init: di,
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1149 |
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mount_component: mi,
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1150 |
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safe_not_equal: hi,
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1151 |
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transition_in: gi,
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1152 |
+
transition_out: bi
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1153 |
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} = window.__gradio__svelte__internal, { createEventDispatcher: wi } = window.__gradio__svelte__internal;
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1154 |
+
function pi(l) {
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1155 |
+
let e, t;
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1156 |
+
return e = new cn({
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1157 |
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props: {
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1158 |
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Icon: Kl,
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1159 |
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label: (
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1160 |
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/*i18n*/
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1161 |
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l[2]("common.share")
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1162 |
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),
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1163 |
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pending: (
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1164 |
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/*pending*/
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1165 |
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l[3]
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1166 |
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)
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1167 |
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}
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1168 |
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}), e.$on(
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1169 |
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"click",
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1170 |
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/*click_handler*/
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1171 |
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l[5]
|
1172 |
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), {
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1173 |
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c() {
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1174 |
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ci(e.$$.fragment);
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1175 |
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},
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1176 |
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m(n, i) {
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1177 |
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mi(e, n, i), t = !0;
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1178 |
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},
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1179 |
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p(n, [i]) {
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1180 |
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const s = {};
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1181 |
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i & /*i18n*/
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1182 |
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4 && (s.label = /*i18n*/
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1183 |
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n[2]("common.share")), i & /*pending*/
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1184 |
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8 && (s.pending = /*pending*/
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1185 |
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n[3]), e.$set(s);
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1186 |
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},
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1187 |
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i(n) {
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1188 |
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t || (gi(e.$$.fragment, n), t = !0);
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1189 |
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},
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1190 |
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o(n) {
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1191 |
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bi(e.$$.fragment, n), t = !1;
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1192 |
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},
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1193 |
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d(n) {
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1194 |
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ui(e, n);
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1195 |
+
}
|
1196 |
+
};
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1197 |
+
}
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1198 |
+
function vi(l, e, t) {
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1199 |
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const n = wi();
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1200 |
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let { formatter: i } = e, { value: s } = e, { i18n: o } = e, a = !1;
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1201 |
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const r = async () => {
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1202 |
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try {
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1203 |
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t(3, a = !0);
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1204 |
+
const f = await i(s);
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1205 |
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n("share", { description: f });
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1206 |
+
} catch (f) {
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1207 |
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console.error(f);
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1208 |
+
let _ = f instanceof Ae ? f.message : "Share failed.";
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1209 |
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n("error", _);
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1210 |
+
} finally {
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1211 |
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t(3, a = !1);
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1212 |
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}
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1213 |
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};
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1214 |
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return l.$$set = (f) => {
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1215 |
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"formatter" in f && t(0, i = f.formatter), "value" in f && t(1, s = f.value), "i18n" in f && t(2, o = f.i18n);
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1216 |
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}, [i, s, o, a, n, r];
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1217 |
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}
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1218 |
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class ki extends _i {
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1219 |
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constructor(e) {
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1220 |
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super(), di(this, e, vi, pi, hi, { formatter: 0, value: 1, i18n: 2 });
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1221 |
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}
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1222 |
+
}
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1223 |
+
const yi = (l) => {
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1224 |
+
let e = l.currentTarget;
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1225 |
+
const t = e.getBoundingClientRect(), n = e.naturalWidth / t.width, i = e.naturalHeight / t.height;
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1226 |
+
if (n > i) {
|
1227 |
+
const a = e.naturalHeight / n, r = (t.height - a) / 2;
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1228 |
+
var s = Math.round((l.clientX - t.left) * n), o = Math.round((l.clientY - t.top - r) * n);
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1229 |
+
} else {
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1230 |
+
const a = e.naturalWidth / i, r = (t.width - a) / 2;
|
1231 |
+
var s = Math.round((l.clientX - t.left - r) * i), o = Math.round((l.clientY - t.top) * i);
|
1232 |
+
}
|
1233 |
+
return s < 0 || s >= e.naturalWidth || o < 0 || o >= e.naturalHeight ? null : [s, o];
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1234 |
+
};
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1235 |
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new Intl.Collator(0, { numeric: 1 }).compare;
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1236 |
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function dn(l, e, t) {
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1237 |
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if (l == null)
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1238 |
+
return null;
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1239 |
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if (Array.isArray(l)) {
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1240 |
+
const n = [];
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1241 |
+
for (const i of l)
|
1242 |
+
i == null ? n.push(null) : n.push(dn(i, e, t));
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1243 |
+
return n;
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1244 |
+
}
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1245 |
+
return l.is_stream ? t == null ? new Be({
|
1246 |
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...l,
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1247 |
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url: e + "/stream/" + l.path
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1248 |
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}) : new Be({
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1249 |
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...l,
|
1250 |
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url: "/proxy=" + t + "stream/" + l.path
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1251 |
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}) : new Be({
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1252 |
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...l,
|
1253 |
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url: qi(l.path, e, t)
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1254 |
+
});
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1255 |
+
}
|
1256 |
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function Ci(l) {
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1257 |
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try {
|
1258 |
+
const e = new URL(l);
|
1259 |
+
return e.protocol === "http:" || e.protocol === "https:";
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1260 |
+
} catch {
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1261 |
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return !1;
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1262 |
+
}
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1263 |
+
}
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1264 |
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function qi(l, e, t) {
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1265 |
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return l == null ? t ? `/proxy=${t}file=` : `${e}/file=` : Ci(l) ? l : t ? `/proxy=${t}file=${l}` : `${e}/file=${l}`;
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1266 |
+
}
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1267 |
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class Be {
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1268 |
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constructor({
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1269 |
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path: e,
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1270 |
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url: t,
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1271 |
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orig_name: n,
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1272 |
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size: i,
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1273 |
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blob: s,
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1274 |
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is_stream: o,
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1275 |
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mime_type: a,
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1276 |
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alt_text: r
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1277 |
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}) {
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1278 |
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this.path = e, this.url = t, this.orig_name = n, this.size = i, this.blob = t ? void 0 : s, this.is_stream = o, this.mime_type = a, this.alt_text = r;
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1279 |
+
}
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1280 |
+
}
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1281 |
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class Si {
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1282 |
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constructor({ image: e, blurhash: t, width: n, height: i }) {
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1283 |
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this.image = e ? new Be(e) : void 0, this.blurhash = t, this.width = n, this.height = i;
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1284 |
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}
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1285 |
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}
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1286 |
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function mn(l, e, t) {
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1287 |
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if (l == null)
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1288 |
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return null;
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1289 |
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if (Array.isArray(l)) {
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1290 |
+
const i = [];
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1291 |
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for (const s of l)
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1292 |
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i.push(mn(s, e));
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1293 |
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return i;
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1294 |
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}
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1295 |
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const n = l.image ? dn(l.image, e, null) : null;
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1296 |
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return new Si({
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1297 |
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image: n || void 0,
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1298 |
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blurhash: l.blurhash,
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1299 |
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width: l.width,
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1300 |
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height: l.height
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1301 |
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});
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1302 |
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}
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1303 |
+
const {
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1304 |
+
SvelteComponent: Mi,
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1305 |
+
binding_callbacks: Ii,
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1306 |
+
create_slot: Li,
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1307 |
+
detach: zi,
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1308 |
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element: Ai,
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1309 |
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get_all_dirty_from_scope: Bi,
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1310 |
+
get_slot_changes: Fi,
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1311 |
+
init: Ei,
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1312 |
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insert: Di,
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1313 |
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safe_not_equal: Ri,
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1314 |
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transition_in: Vi,
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1315 |
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transition_out: Ti,
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1316 |
+
update_slot_base: Pi
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1317 |
+
} = window.__gradio__svelte__internal, { onMount: Ni } = window.__gradio__svelte__internal, Xi = (l) => ({
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1318 |
+
visible: l & /*visible*/
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1319 |
+
4,
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1320 |
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hasBeenVisible: l & /*hasBeenVisible*/
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1321 |
+
2
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1322 |
+
}), yt = (l) => ({
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1323 |
+
visible: (
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1324 |
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/*visible*/
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1325 |
+
l[2]
|
1326 |
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),
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1327 |
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hasBeenVisible: (
|
1328 |
+
/*hasBeenVisible*/
|
1329 |
+
l[1]
|
1330 |
+
)
|
1331 |
+
});
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1332 |
+
function Yi(l) {
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1333 |
+
let e, t;
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1334 |
+
const n = (
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1335 |
+
/*#slots*/
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1336 |
+
l[5].default
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1337 |
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), i = Li(
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1338 |
+
n,
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1339 |
+
l,
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1340 |
+
/*$$scope*/
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1341 |
+
l[4],
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1342 |
+
yt
|
1343 |
+
);
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1344 |
+
return {
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1345 |
+
c() {
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1346 |
+
e = Ai("div"), i && i.c();
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1347 |
+
},
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1348 |
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m(s, o) {
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1349 |
+
Di(s, e, o), i && i.m(e, null), l[6](e), t = !0;
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1350 |
+
},
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1351 |
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p(s, [o]) {
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1352 |
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i && i.p && (!t || o & /*$$scope, visible, hasBeenVisible*/
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1353 |
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22) && Pi(
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1354 |
+
i,
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1355 |
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n,
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1356 |
+
s,
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1357 |
+
/*$$scope*/
|
1358 |
+
s[4],
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1359 |
+
t ? Fi(
|
1360 |
+
n,
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1361 |
+
/*$$scope*/
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1362 |
+
s[4],
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1363 |
+
o,
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1364 |
+
Xi
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1365 |
+
) : Bi(
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1366 |
+
/*$$scope*/
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1367 |
+
s[4]
|
1368 |
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),
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1369 |
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yt
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1370 |
+
);
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1371 |
+
},
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1372 |
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i(s) {
|
1373 |
+
t || (Vi(i, s), t = !0);
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1374 |
+
},
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1375 |
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o(s) {
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1376 |
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Ti(i, s), t = !1;
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1377 |
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},
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1378 |
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d(s) {
|
1379 |
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s && zi(e), i && i.d(s), l[6](null);
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1380 |
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}
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1381 |
+
};
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1382 |
+
}
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1383 |
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let ji = "0px 0px 200px 0px";
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1384 |
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function Zi(l, e, t) {
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1385 |
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let { $$slots: n = {}, $$scope: i } = e, s = null, o = !1, a = !1, r = null;
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1386 |
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Ni(() => (t(3, r = new IntersectionObserver(
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1387 |
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(_) => {
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1388 |
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t(2, o = _[0].isIntersecting), t(1, a = a || o);
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1389 |
+
},
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1390 |
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{ rootMargin: ji }
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1391 |
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)), r.observe(s), () => {
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1392 |
+
a || r.unobserve(s);
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1393 |
+
}));
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1394 |
+
function f(_) {
|
1395 |
+
Ii[_ ? "unshift" : "push"](() => {
|
1396 |
+
s = _, t(0, s);
|
1397 |
+
});
|
1398 |
+
}
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1399 |
+
return l.$$set = (_) => {
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1400 |
+
"$$scope" in _ && t(4, i = _.$$scope);
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1401 |
+
}, l.$$.update = () => {
|
1402 |
+
l.$$.dirty & /*hasBeenVisible, observer, el*/
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1403 |
+
11 && a && r.unobserve(s);
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1404 |
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}, [s, a, o, r, i, n, f];
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1405 |
+
}
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1406 |
+
class Ui extends Mi {
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1407 |
+
constructor(e) {
|
1408 |
+
super(), Ei(this, e, Zi, Yi, Ri, {});
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1409 |
+
}
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1410 |
+
}
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1411 |
+
const Oi = [
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1412 |
+
"0",
|
1413 |
+
"1",
|
1414 |
+
"2",
|
1415 |
+
"3",
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1416 |
+
"4",
|
1417 |
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"5",
|
1418 |
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"6",
|
1419 |
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"7",
|
1420 |
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"8",
|
1421 |
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"9",
|
1422 |
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"A",
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1423 |
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"B",
|
1424 |
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"C",
|
1425 |
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"D",
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1426 |
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"E",
|
1427 |
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"F",
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1428 |
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"G",
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1429 |
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"H",
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1430 |
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"I",
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1431 |
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"J",
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1432 |
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"K",
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1433 |
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"L",
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1434 |
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"M",
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1435 |
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"N",
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1436 |
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"O",
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1437 |
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"P",
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1438 |
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"Q",
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1439 |
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"R",
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1440 |
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"S",
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"T",
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1442 |
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"U",
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1443 |
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"V",
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1444 |
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"W",
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1445 |
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"X",
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1446 |
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"Y",
|
1447 |
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"Z",
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1448 |
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"a",
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1449 |
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"b",
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1450 |
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"c",
|
1451 |
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"d",
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1452 |
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"e",
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1453 |
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"f",
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1454 |
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"g",
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1455 |
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"h",
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1456 |
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"i",
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1457 |
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"j",
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1458 |
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"k",
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"t",
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1468 |
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"u",
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1469 |
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"v",
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1470 |
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"w",
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"x",
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1472 |
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"y",
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"z",
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"$",
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"-",
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":",
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";",
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"=",
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"?",
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1486 |
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"@",
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1487 |
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"[",
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"]",
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"^",
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"_",
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1491 |
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"{",
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"|",
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"}",
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"~"
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}, Hi = (l) => l < 0 ? -1 : 1, Ze = (l, e) => Hi(l) * Math.pow(Math.abs(l), e);
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constructor(e) {
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super(e), this.name = "ValidationError", this.message = e;
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throw new Ct("The blurhash string must be at least 6 characters");
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Ze((t - 9) / 9, 2) * e,
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Ze((n - 9) / 9, 2) * e,
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Ze((i - 9) / 9, 2) * e
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Wi(l), n = n | 1;
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1547 |
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1549 |
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g += V[0] * Z, p += V[1] * Z, C += V[2] * Z;
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let I = je(g), S = je(p), m = je(C);
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1560 |
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detach: ts,
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element: qt,
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init: ns,
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insert: ls,
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noop: St,
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safe_not_equal: is,
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set_style: ae
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1568 |
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1569 |
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1570 |
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1571 |
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c() {
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1572 |
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e = qt("div"), t = qt("canvas"), Ie(
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1573 |
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t,
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l[2]
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), Ie(
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t,
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/*resolutionY*/
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l[3]
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), ae(t, "width", "100%"), ae(t, "height", "100%"), ae(
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l[0] + "px"
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"height",
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/*height*/
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l[1] + "px"
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);
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m(n, i) {
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ls(n, e, i), $i(e, t), l[7](t);
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4 && Ie(
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t,
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n[2]
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8 && Ie(
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t,
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n[3]
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n[0] + "px"
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/*height*/
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n[1] + "px"
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);
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i: St,
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o: St,
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d(n) {
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1627 |
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n && ts(e), l[7](null);
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}
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function as(l, e, t) {
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let { hash: n } = e, { width: i = 100 } = e, { height: s = 100 } = e, { resolutionX: o = 16 } = e, { resolutionY: a = 16 } = e, { punch: r = 1 } = e, f;
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1633 |
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ss(() => {
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1634 |
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if (n && f) {
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1635 |
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const c = Qi(n, o, a, r), u = f.getContext("2d"), d = u.createImageData(o, a);
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1636 |
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d.data.set(c), u.putImageData(d, 0, 0);
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1637 |
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});
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function _(c) {
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1640 |
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es[c ? "unshift" : "push"](() => {
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1641 |
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f = c, t(4, f);
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});
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return l.$$set = (c) => {
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1645 |
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"hash" in c && t(5, n = c.hash), "width" in c && t(0, i = c.width), "height" in c && t(1, s = c.height), "resolutionX" in c && t(2, o = c.resolutionX), "resolutionY" in c && t(3, a = c.resolutionY), "punch" in c && t(6, r = c.punch);
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1646 |
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}, [i, s, o, a, f, n, r, _];
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}
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1648 |
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class rs extends xi {
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1649 |
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constructor(e) {
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1650 |
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super(), ns(this, e, as, os, is, {
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1651 |
+
hash: 5,
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1652 |
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width: 0,
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1653 |
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height: 1,
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1654 |
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resolutionX: 2,
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1655 |
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resolutionY: 3,
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1656 |
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punch: 6
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1657 |
+
});
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1658 |
+
}
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1659 |
+
}
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1660 |
+
const {
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1661 |
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SvelteComponent: fs,
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1662 |
+
attr: X,
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1663 |
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binding_callbacks: _s,
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1664 |
+
detach: cs,
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1665 |
+
element: us,
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1666 |
+
init: ds,
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1667 |
+
insert: ms,
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noop: Mt,
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safe_not_equal: hs,
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1670 |
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set_style: re,
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1671 |
+
src_url_equal: It
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1672 |
+
} = window.__gradio__svelte__internal, { onMount: gs, createEventDispatcher: bs } = window.__gradio__svelte__internal;
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1673 |
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function ws(l) {
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1674 |
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let e, t;
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c() {
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e = us("img"), It(e.src, t = /*src*/
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1678 |
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l[0]) || X(e, "src", t), X(
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e,
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"alt",
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1681 |
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/*alt*/
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1682 |
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l[1]
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1683 |
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), X(
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1684 |
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e,
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"width",
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1686 |
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/*width*/
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1687 |
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l[2]
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1688 |
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), X(
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1689 |
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e,
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1690 |
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"height",
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1691 |
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/*height*/
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1692 |
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l[3]
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1693 |
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), re(e, "position", "absolute"), re(e, "top", "0"), re(e, "left", "0"), re(e, "opacity", "0"), re(e, "transition", "opacity " + /*fadeDuration*/
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1694 |
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l[4] + "ms"), X(e, "loading", "lazy"), X(e, "decoding", "async");
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1695 |
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},
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1696 |
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m(n, i) {
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1697 |
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ms(n, e, i), l[6](e);
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},
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p(n, [i]) {
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1700 |
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i & /*src*/
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1701 |
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1 && !It(e.src, t = /*src*/
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n[0]) && X(e, "src", t), i & /*alt*/
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1703 |
+
2 && X(
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1704 |
+
e,
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1705 |
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"alt",
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1706 |
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/*alt*/
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1707 |
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n[1]
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1708 |
+
), i & /*width*/
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1709 |
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4 && X(
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1710 |
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e,
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1711 |
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"width",
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1712 |
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/*width*/
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1713 |
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n[2]
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1714 |
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), i & /*height*/
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1715 |
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8 && X(
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1716 |
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e,
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1717 |
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"height",
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1718 |
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/*height*/
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1719 |
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n[3]
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1720 |
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), i & /*fadeDuration*/
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1721 |
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16 && re(e, "transition", "opacity " + /*fadeDuration*/
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1722 |
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n[4] + "ms");
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1723 |
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},
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1724 |
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i: Mt,
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1725 |
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o: Mt,
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1726 |
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d(n) {
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1727 |
+
n && cs(e), l[6](null);
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1728 |
+
}
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1729 |
+
};
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1730 |
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}
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1731 |
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function ps(l, e, t) {
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1732 |
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const n = bs();
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1733 |
+
let { src: i } = e, { alt: s } = e, { width: o } = e, { height: a } = e, { fadeDuration: r = 500 } = e, f;
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1734 |
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gs(() => {
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1735 |
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t(
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1736 |
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5,
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1737 |
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f.onload = () => {
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1738 |
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t(5, f.style.opacity = 1, f), n("imageLoaded", { fadeDuration: r });
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1739 |
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},
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1740 |
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f
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);
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1742 |
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function _(c) {
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_s[c ? "unshift" : "push"](() => {
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f = c, t(5, f);
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});
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1747 |
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return l.$$set = (c) => {
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1749 |
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1750 |
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}, [i, s, o, a, r, f, _];
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1751 |
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1752 |
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let vs = class extends fs {
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1753 |
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constructor(e) {
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1754 |
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super(), ds(this, e, ps, ws, hs, {
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1755 |
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src: 0,
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1756 |
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alt: 1,
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1757 |
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width: 2,
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1758 |
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height: 3,
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1759 |
+
fadeDuration: 4
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1760 |
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});
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1761 |
+
}
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1762 |
+
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1763 |
+
const {
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1764 |
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SvelteComponent: ks,
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1765 |
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append: ys,
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1766 |
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check_outros: hn,
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1767 |
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create_component: it,
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1768 |
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destroy_component: st,
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1769 |
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detach: ot,
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1770 |
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element: gn,
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1771 |
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empty: Cs,
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group_outros: bn,
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init: qs,
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insert: at,
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mount_component: rt,
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noop: Lt,
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safe_not_equal: Ss,
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set_style: qe,
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space: Ms,
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transition_in: ee,
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transition_out: se
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function zt(l) {
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let e, t, n, i, s, o;
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const a = [Ls, Is], r = [];
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function f(_, c) {
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/*isFadeIn*/
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_[6] ? 1 : 0
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);
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1791 |
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}
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return t = f(l), n = r[t] = a[t](l), s = new vs({
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1793 |
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props: {
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1794 |
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src: (
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1795 |
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/*src*/
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1796 |
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l[0]
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1797 |
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),
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alt: (
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/*alt*/
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1800 |
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l[4]
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width: (
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l[2]
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height: (
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l[3]
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fadeDuration: (
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l[5]
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l[7]
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e = gn("div"), n.c(), i = Ms(), it(s.$$.fragment), qe(e, "position", "relative");
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m(_, c) {
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p(_, c) {
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}), hn(), n = r[t], n ? n.p(_, c) : (n = r[t] = a[t](_), n.c()), ee(n, 1), n.m(e, i));
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const d = {};
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c & /*src*/
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1 && (d.src = /*src*/
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_[0]), c & /*alt*/
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16 && (d.alt = /*alt*/
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_[4]), c & /*width*/
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4 && (d.width = /*width*/
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_[2]), c & /*height*/
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1839 |
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1840 |
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_[3]), c & /*fadeDuration*/
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32 && (d.fadeDuration = /*fadeDuration*/
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_[5]), s.$set(d);
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1845 |
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o || (ee(n), ee(s.$$.fragment, _), o = !0);
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1846 |
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1848 |
+
se(n), se(s.$$.fragment, _), o = !1;
|
1849 |
+
},
|
1850 |
+
d(_) {
|
1851 |
+
_ && ot(e), r[t].d(), st(s);
|
1852 |
+
}
|
1853 |
+
};
|
1854 |
+
}
|
1855 |
+
function Is(l) {
|
1856 |
+
let e;
|
1857 |
+
return {
|
1858 |
+
c() {
|
1859 |
+
e = gn("div"), qe(
|
1860 |
+
e,
|
1861 |
+
"width",
|
1862 |
+
/*width*/
|
1863 |
+
l[2] + "px"
|
1864 |
+
), qe(
|
1865 |
+
e,
|
1866 |
+
"height",
|
1867 |
+
/*height*/
|
1868 |
+
l[3] + "px"
|
1869 |
+
);
|
1870 |
+
},
|
1871 |
+
m(t, n) {
|
1872 |
+
at(t, e, n);
|
1873 |
+
},
|
1874 |
+
p(t, n) {
|
1875 |
+
n & /*width*/
|
1876 |
+
4 && qe(
|
1877 |
+
e,
|
1878 |
+
"width",
|
1879 |
+
/*width*/
|
1880 |
+
t[2] + "px"
|
1881 |
+
), n & /*height*/
|
1882 |
+
8 && qe(
|
1883 |
+
e,
|
1884 |
+
"height",
|
1885 |
+
/*height*/
|
1886 |
+
t[3] + "px"
|
1887 |
+
);
|
1888 |
+
},
|
1889 |
+
i: Lt,
|
1890 |
+
o: Lt,
|
1891 |
+
d(t) {
|
1892 |
+
t && ot(e);
|
1893 |
+
}
|
1894 |
+
};
|
1895 |
+
}
|
1896 |
+
function Ls(l) {
|
1897 |
+
let e, t;
|
1898 |
+
return e = new rs({
|
1899 |
+
props: {
|
1900 |
+
hash: (
|
1901 |
+
/*hash*/
|
1902 |
+
l[1]
|
1903 |
+
),
|
1904 |
+
width: (
|
1905 |
+
/*width*/
|
1906 |
+
l[2]
|
1907 |
+
),
|
1908 |
+
height: (
|
1909 |
+
/*height*/
|
1910 |
+
l[3]
|
1911 |
+
)
|
1912 |
+
}
|
1913 |
+
}), {
|
1914 |
+
c() {
|
1915 |
+
it(e.$$.fragment);
|
1916 |
+
},
|
1917 |
+
m(n, i) {
|
1918 |
+
rt(e, n, i), t = !0;
|
1919 |
+
},
|
1920 |
+
p(n, i) {
|
1921 |
+
const s = {};
|
1922 |
+
i & /*hash*/
|
1923 |
+
2 && (s.hash = /*hash*/
|
1924 |
+
n[1]), i & /*width*/
|
1925 |
+
4 && (s.width = /*width*/
|
1926 |
+
n[2]), i & /*height*/
|
1927 |
+
8 && (s.height = /*height*/
|
1928 |
+
n[3]), e.$set(s);
|
1929 |
+
},
|
1930 |
+
i(n) {
|
1931 |
+
t || (ee(e.$$.fragment, n), t = !0);
|
1932 |
+
},
|
1933 |
+
o(n) {
|
1934 |
+
se(e.$$.fragment, n), t = !1;
|
1935 |
+
},
|
1936 |
+
d(n) {
|
1937 |
+
st(e, n);
|
1938 |
+
}
|
1939 |
+
};
|
1940 |
+
}
|
1941 |
+
function zs(l) {
|
1942 |
+
let e, t, n = (
|
1943 |
+
/*hasBeenVisible*/
|
1944 |
+
l[9] && zt(l)
|
1945 |
+
);
|
1946 |
+
return {
|
1947 |
+
c() {
|
1948 |
+
n && n.c(), e = Cs();
|
1949 |
+
},
|
1950 |
+
m(i, s) {
|
1951 |
+
n && n.m(i, s), at(i, e, s), t = !0;
|
1952 |
+
},
|
1953 |
+
p(i, s) {
|
1954 |
+
/*hasBeenVisible*/
|
1955 |
+
i[9] ? n ? (n.p(i, s), s & /*hasBeenVisible*/
|
1956 |
+
512 && ee(n, 1)) : (n = zt(i), n.c(), ee(n, 1), n.m(e.parentNode, e)) : n && (bn(), se(n, 1, 1, () => {
|
1957 |
+
n = null;
|
1958 |
+
}), hn());
|
1959 |
+
},
|
1960 |
+
i(i) {
|
1961 |
+
t || (ee(n), t = !0);
|
1962 |
+
},
|
1963 |
+
o(i) {
|
1964 |
+
se(n), t = !1;
|
1965 |
+
},
|
1966 |
+
d(i) {
|
1967 |
+
i && ot(e), n && n.d(i);
|
1968 |
+
}
|
1969 |
+
};
|
1970 |
+
}
|
1971 |
+
function As(l) {
|
1972 |
+
let e, t;
|
1973 |
+
return e = new Ui({
|
1974 |
+
props: {
|
1975 |
+
$$slots: {
|
1976 |
+
default: [
|
1977 |
+
zs,
|
1978 |
+
({ hasBeenVisible: n }) => ({ 9: n }),
|
1979 |
+
({ hasBeenVisible: n }) => n ? 512 : 0
|
1980 |
+
]
|
1981 |
+
},
|
1982 |
+
$$scope: { ctx: l }
|
1983 |
+
}
|
1984 |
+
}), {
|
1985 |
+
c() {
|
1986 |
+
it(e.$$.fragment);
|
1987 |
+
},
|
1988 |
+
m(n, i) {
|
1989 |
+
rt(e, n, i), t = !0;
|
1990 |
+
},
|
1991 |
+
p(n, [i]) {
|
1992 |
+
const s = {};
|
1993 |
+
i & /*$$scope, src, alt, width, height, fadeDuration, hash, isFadeIn, hasBeenVisible*/
|
1994 |
+
1663 && (s.$$scope = { dirty: i, ctx: n }), e.$set(s);
|
1995 |
+
},
|
1996 |
+
i(n) {
|
1997 |
+
t || (ee(e.$$.fragment, n), t = !0);
|
1998 |
+
},
|
1999 |
+
o(n) {
|
2000 |
+
se(e.$$.fragment, n), t = !1;
|
2001 |
+
},
|
2002 |
+
d(n) {
|
2003 |
+
st(e, n);
|
2004 |
+
}
|
2005 |
+
};
|
2006 |
+
}
|
2007 |
+
function Bs(l, e, t) {
|
2008 |
+
let { src: n = "#" } = e, { hash: i } = e, { width: s } = e, { height: o } = e, { alt: a = "" } = e, { fadeDuration: r = 500 } = e, f = !1;
|
2009 |
+
function _(u) {
|
2010 |
+
setTimeout(c, u.detail.fadeDuration + 100);
|
2011 |
+
}
|
2012 |
+
function c() {
|
2013 |
+
t(6, f = !0);
|
2014 |
+
}
|
2015 |
+
return l.$$set = (u) => {
|
2016 |
+
"src" in u && t(0, n = u.src), "hash" in u && t(1, i = u.hash), "width" in u && t(2, s = u.width), "height" in u && t(3, o = u.height), "alt" in u && t(4, a = u.alt), "fadeDuration" in u && t(5, r = u.fadeDuration);
|
2017 |
+
}, [n, i, s, o, a, r, f, _];
|
2018 |
+
}
|
2019 |
+
class Fs extends ks {
|
2020 |
+
constructor(e) {
|
2021 |
+
super(), qs(this, e, Bs, As, Ss, {
|
2022 |
+
src: 0,
|
2023 |
+
hash: 1,
|
2024 |
+
width: 2,
|
2025 |
+
height: 3,
|
2026 |
+
alt: 4,
|
2027 |
+
fadeDuration: 5
|
2028 |
+
});
|
2029 |
+
}
|
2030 |
+
}
|
2031 |
+
const {
|
2032 |
+
SvelteComponent: Es,
|
2033 |
+
append: At,
|
2034 |
+
attr: le,
|
2035 |
+
bubble: Bt,
|
2036 |
+
check_outros: We,
|
2037 |
+
create_component: we,
|
2038 |
+
destroy_component: pe,
|
2039 |
+
detach: de,
|
2040 |
+
element: Fe,
|
2041 |
+
empty: Ds,
|
2042 |
+
group_outros: Ge,
|
2043 |
+
init: Rs,
|
2044 |
+
insert: me,
|
2045 |
+
listen: Vs,
|
2046 |
+
mount_component: ve,
|
2047 |
+
safe_not_equal: Ts,
|
2048 |
+
space: Ke,
|
2049 |
+
transition_in: B,
|
2050 |
+
transition_out: D
|
2051 |
+
} = window.__gradio__svelte__internal, { createEventDispatcher: Ps } = window.__gradio__svelte__internal;
|
2052 |
+
function Ns(l) {
|
2053 |
+
let e, t, n, i, s, o, a, r, f, _ = (
|
2054 |
+
/*show_download_button*/
|
2055 |
+
l[3] && Ft(l)
|
2056 |
+
), c = (
|
2057 |
+
/*show_share_button*/
|
2058 |
+
l[4] && Et(l)
|
2059 |
+
);
|
2060 |
+
return o = new Fs({
|
2061 |
+
props: {
|
2062 |
+
src: (
|
2063 |
+
/*value*/
|
2064 |
+
l[0].image.url
|
2065 |
+
),
|
2066 |
+
hash: (
|
2067 |
+
/*value*/
|
2068 |
+
l[0].blurhash
|
2069 |
+
),
|
2070 |
+
width: (
|
2071 |
+
/*value*/
|
2072 |
+
l[0].width
|
2073 |
+
),
|
2074 |
+
height: (
|
2075 |
+
/*value*/
|
2076 |
+
l[0].height
|
2077 |
+
)
|
2078 |
+
}
|
2079 |
+
}), {
|
2080 |
+
c() {
|
2081 |
+
e = Fe("div"), _ && _.c(), t = Ke(), c && c.c(), n = Ke(), i = Fe("button"), s = Fe("div"), we(o.$$.fragment), le(e, "class", "icon-buttons svelte-fz4vky"), le(s, "class", "image-wrapper svelte-fz4vky"), le(i, "class", "selectable svelte-fz4vky");
|
2082 |
+
},
|
2083 |
+
m(u, d) {
|
2084 |
+
me(u, e, d), _ && _.m(e, null), At(e, t), c && c.m(e, null), me(u, n, d), me(u, i, d), At(i, s), ve(o, s, null), a = !0, r || (f = Vs(
|
2085 |
+
i,
|
2086 |
+
"click",
|
2087 |
+
/*handle_click*/
|
2088 |
+
l[6]
|
2089 |
+
), r = !0);
|
2090 |
+
},
|
2091 |
+
p(u, d) {
|
2092 |
+
/*show_download_button*/
|
2093 |
+
u[3] ? _ ? (_.p(u, d), d & /*show_download_button*/
|
2094 |
+
8 && B(_, 1)) : (_ = Ft(u), _.c(), B(_, 1), _.m(e, t)) : _ && (Ge(), D(_, 1, 1, () => {
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2095 |
+
_ = null;
|
2096 |
+
}), We()), /*show_share_button*/
|
2097 |
+
u[4] ? c ? (c.p(u, d), d & /*show_share_button*/
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2098 |
+
16 && B(c, 1)) : (c = Et(u), c.c(), B(c, 1), c.m(e, null)) : c && (Ge(), D(c, 1, 1, () => {
|
2099 |
+
c = null;
|
2100 |
+
}), We());
|
2101 |
+
const g = {};
|
2102 |
+
d & /*value*/
|
2103 |
+
1 && (g.src = /*value*/
|
2104 |
+
u[0].image.url), d & /*value*/
|
2105 |
+
1 && (g.hash = /*value*/
|
2106 |
+
u[0].blurhash), d & /*value*/
|
2107 |
+
1 && (g.width = /*value*/
|
2108 |
+
u[0].width), d & /*value*/
|
2109 |
+
1 && (g.height = /*value*/
|
2110 |
+
u[0].height), o.$set(g);
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2111 |
+
},
|
2112 |
+
i(u) {
|
2113 |
+
a || (B(_), B(c), B(o.$$.fragment, u), a = !0);
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2114 |
+
},
|
2115 |
+
o(u) {
|
2116 |
+
D(_), D(c), D(o.$$.fragment, u), a = !1;
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2117 |
+
},
|
2118 |
+
d(u) {
|
2119 |
+
u && (de(e), de(n), de(i)), _ && _.d(), c && c.d(), pe(o), r = !1, f();
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2120 |
+
}
|
2121 |
+
};
|
2122 |
+
}
|
2123 |
+
function Xs(l) {
|
2124 |
+
let e, t;
|
2125 |
+
return e = new Yl({
|
2126 |
+
props: {
|
2127 |
+
unpadded_box: !0,
|
2128 |
+
size: "large",
|
2129 |
+
$$slots: { default: [Ys] },
|
2130 |
+
$$scope: { ctx: l }
|
2131 |
+
}
|
2132 |
+
}), {
|
2133 |
+
c() {
|
2134 |
+
we(e.$$.fragment);
|
2135 |
+
},
|
2136 |
+
m(n, i) {
|
2137 |
+
ve(e, n, i), t = !0;
|
2138 |
+
},
|
2139 |
+
p(n, i) {
|
2140 |
+
const s = {};
|
2141 |
+
i & /*$$scope*/
|
2142 |
+
4096 && (s.$$scope = { dirty: i, ctx: n }), e.$set(s);
|
2143 |
+
},
|
2144 |
+
i(n) {
|
2145 |
+
t || (B(e.$$.fragment, n), t = !0);
|
2146 |
+
},
|
2147 |
+
o(n) {
|
2148 |
+
D(e.$$.fragment, n), t = !1;
|
2149 |
+
},
|
2150 |
+
d(n) {
|
2151 |
+
pe(e, n);
|
2152 |
+
}
|
2153 |
+
};
|
2154 |
+
}
|
2155 |
+
function Ft(l) {
|
2156 |
+
let e, t, n, i;
|
2157 |
+
return t = new cn({
|
2158 |
+
props: {
|
2159 |
+
Icon: li,
|
2160 |
+
label: (
|
2161 |
+
/*i18n*/
|
2162 |
+
l[5]("common.download")
|
2163 |
+
)
|
2164 |
+
}
|
2165 |
+
}), {
|
2166 |
+
c() {
|
2167 |
+
e = Fe("a"), we(t.$$.fragment), le(e, "href", n = /*value*/
|
2168 |
+
l[0].image.url), le(e, "target", window.__is_colab__ ? "_blank" : null), le(e, "download", "image");
|
2169 |
+
},
|
2170 |
+
m(s, o) {
|
2171 |
+
me(s, e, o), ve(t, e, null), i = !0;
|
2172 |
+
},
|
2173 |
+
p(s, o) {
|
2174 |
+
const a = {};
|
2175 |
+
o & /*i18n*/
|
2176 |
+
32 && (a.label = /*i18n*/
|
2177 |
+
s[5]("common.download")), t.$set(a), (!i || o & /*value*/
|
2178 |
+
1 && n !== (n = /*value*/
|
2179 |
+
s[0].image.url)) && le(e, "href", n);
|
2180 |
+
},
|
2181 |
+
i(s) {
|
2182 |
+
i || (B(t.$$.fragment, s), i = !0);
|
2183 |
+
},
|
2184 |
+
o(s) {
|
2185 |
+
D(t.$$.fragment, s), i = !1;
|
2186 |
+
},
|
2187 |
+
d(s) {
|
2188 |
+
s && de(e), pe(t);
|
2189 |
+
}
|
2190 |
+
};
|
2191 |
+
}
|
2192 |
+
function Et(l) {
|
2193 |
+
let e, t;
|
2194 |
+
return e = new ki({
|
2195 |
+
props: {
|
2196 |
+
i18n: (
|
2197 |
+
/*i18n*/
|
2198 |
+
l[5]
|
2199 |
+
),
|
2200 |
+
formatter: (
|
2201 |
+
/*func*/
|
2202 |
+
l[8]
|
2203 |
+
),
|
2204 |
+
value: (
|
2205 |
+
/*value*/
|
2206 |
+
l[0]
|
2207 |
+
)
|
2208 |
+
}
|
2209 |
+
}), e.$on(
|
2210 |
+
"share",
|
2211 |
+
/*share_handler*/
|
2212 |
+
l[9]
|
2213 |
+
), e.$on(
|
2214 |
+
"error",
|
2215 |
+
/*error_handler*/
|
2216 |
+
l[10]
|
2217 |
+
), {
|
2218 |
+
c() {
|
2219 |
+
we(e.$$.fragment);
|
2220 |
+
},
|
2221 |
+
m(n, i) {
|
2222 |
+
ve(e, n, i), t = !0;
|
2223 |
+
},
|
2224 |
+
p(n, i) {
|
2225 |
+
const s = {};
|
2226 |
+
i & /*i18n*/
|
2227 |
+
32 && (s.i18n = /*i18n*/
|
2228 |
+
n[5]), i & /*value*/
|
2229 |
+
1 && (s.value = /*value*/
|
2230 |
+
n[0]), e.$set(s);
|
2231 |
+
},
|
2232 |
+
i(n) {
|
2233 |
+
t || (B(e.$$.fragment, n), t = !0);
|
2234 |
+
},
|
2235 |
+
o(n) {
|
2236 |
+
D(e.$$.fragment, n), t = !1;
|
2237 |
+
},
|
2238 |
+
d(n) {
|
2239 |
+
pe(e, n);
|
2240 |
+
}
|
2241 |
+
};
|
2242 |
+
}
|
2243 |
+
function Ys(l) {
|
2244 |
+
let e, t;
|
2245 |
+
return e = new un({}), {
|
2246 |
+
c() {
|
2247 |
+
we(e.$$.fragment);
|
2248 |
+
},
|
2249 |
+
m(n, i) {
|
2250 |
+
ve(e, n, i), t = !0;
|
2251 |
+
},
|
2252 |
+
i(n) {
|
2253 |
+
t || (B(e.$$.fragment, n), t = !0);
|
2254 |
+
},
|
2255 |
+
o(n) {
|
2256 |
+
D(e.$$.fragment, n), t = !1;
|
2257 |
+
},
|
2258 |
+
d(n) {
|
2259 |
+
pe(e, n);
|
2260 |
+
}
|
2261 |
+
};
|
2262 |
+
}
|
2263 |
+
function js(l) {
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function wo(l) {
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/*#slots*/
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l[29].error
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l,
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2605 |
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l[28],
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Yt
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r[28],
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bo
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r[28]
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Yt
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l[6] === "full" && Ut(l)
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function c(m, y) {
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if (
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/*progress*/
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m[7]
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)
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if (
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m[2] >= 0
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)
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if (
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/*queue_position*/
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~(s = I(l)) && (o = C[s] = p[s](l));
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let S = !/*timer*/
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l[5] && en(l);
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"meta-text",
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);
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function Ut(l) {
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let e, t = `translateX(${/*eta_level*/
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k(n, e, i);
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131072 && t !== (t = `translateX(${/*eta_level*/
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d(n) {
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function vo(l) {
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k(t, e, n);
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p: Qe,
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d(t) {
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2776 |
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t && v(e);
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function ko(l) {
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let e, t = (
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/*queue_position*/
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l[2] + 1 + ""
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k(a, e, r), k(a, n, r), k(a, i, r), k(a, s, r), k(a, o, r);
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a && (v(e), v(n), v(i), v(s), v(o));
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function yo(l) {
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k(i, e, s);
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128) {
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/*p*/
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n[38].index || 0
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/*p*/
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/*p*/
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l[38].length
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/*eta*/
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l[0] ? `/${/*formatted_eta*/
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2969 |
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2970 |
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2973 |
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1048576 && R(
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/*formatted_timer*/
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2976 |
+
s[20]
|
2977 |
+
), o[0] & /*eta, formatted_eta*/
|
2978 |
+
524289 && t !== (t = /*eta*/
|
2979 |
+
s[0] ? `/${/*formatted_eta*/
|
2980 |
+
s[19]}` : "") && R(n, t);
|
2981 |
+
},
|
2982 |
+
d(s) {
|
2983 |
+
s && (v(e), v(n), v(i));
|
2984 |
+
}
|
2985 |
+
};
|
2986 |
+
}
|
2987 |
+
function So(l) {
|
2988 |
+
let e, t;
|
2989 |
+
return e = new lo({
|
2990 |
+
props: { margin: (
|
2991 |
+
/*variant*/
|
2992 |
+
l[8] === "default"
|
2993 |
+
) }
|
2994 |
+
}), {
|
2995 |
+
c() {
|
2996 |
+
so(e.$$.fragment);
|
2997 |
+
},
|
2998 |
+
m(n, i) {
|
2999 |
+
co(e, n, i), t = !0;
|
3000 |
+
},
|
3001 |
+
p(n, i) {
|
3002 |
+
const s = {};
|
3003 |
+
i[0] & /*variant*/
|
3004 |
+
256 && (s.margin = /*variant*/
|
3005 |
+
n[8] === "default"), e.$set(s);
|
3006 |
+
},
|
3007 |
+
i(n) {
|
3008 |
+
t || (ge(e.$$.fragment, n), t = !0);
|
3009 |
+
},
|
3010 |
+
o(n) {
|
3011 |
+
be(e.$$.fragment, n), t = !1;
|
3012 |
+
},
|
3013 |
+
d(n) {
|
3014 |
+
ao(e, n);
|
3015 |
+
}
|
3016 |
+
};
|
3017 |
+
}
|
3018 |
+
function Mo(l) {
|
3019 |
+
let e, t, n, i, s, o = `${/*last_progress_level*/
|
3020 |
+
l[15] * 100}%`, a = (
|
3021 |
+
/*progress*/
|
3022 |
+
l[7] != null && Gt(l)
|
3023 |
+
);
|
3024 |
+
return {
|
3025 |
+
c() {
|
3026 |
+
e = O("div"), t = O("div"), a && a.c(), n = j(), i = O("div"), s = O("div"), Y(t, "class", "progress-level-inner svelte-14miwb5"), Y(s, "class", "progress-bar svelte-14miwb5"), $(s, "width", o), Y(i, "class", "progress-bar-wrap svelte-14miwb5"), Y(e, "class", "progress-level svelte-14miwb5");
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3027 |
+
},
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3028 |
+
m(r, f) {
|
3029 |
+
k(r, e, f), ie(e, t), a && a.m(t, null), ie(e, n), ie(e, i), ie(i, s), l[30](s);
|
3030 |
+
},
|
3031 |
+
p(r, f) {
|
3032 |
+
/*progress*/
|
3033 |
+
r[7] != null ? a ? a.p(r, f) : (a = Gt(r), a.c(), a.m(t, null)) : a && (a.d(1), a = null), f[0] & /*last_progress_level*/
|
3034 |
+
32768 && o !== (o = `${/*last_progress_level*/
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3035 |
+
r[15] * 100}%`) && $(s, "width", o);
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3036 |
+
},
|
3037 |
+
i: Qe,
|
3038 |
+
o: Qe,
|
3039 |
+
d(r) {
|
3040 |
+
r && v(e), a && a.d(), l[30](null);
|
3041 |
+
}
|
3042 |
+
};
|
3043 |
+
}
|
3044 |
+
function Gt(l) {
|
3045 |
+
let e, t = De(
|
3046 |
+
/*progress*/
|
3047 |
+
l[7]
|
3048 |
+
), n = [];
|
3049 |
+
for (let i = 0; i < t.length; i += 1)
|
3050 |
+
n[i] = $t(jt(l, t, i));
|
3051 |
+
return {
|
3052 |
+
c() {
|
3053 |
+
for (let i = 0; i < n.length; i += 1)
|
3054 |
+
n[i].c();
|
3055 |
+
e = ke();
|
3056 |
+
},
|
3057 |
+
m(i, s) {
|
3058 |
+
for (let o = 0; o < n.length; o += 1)
|
3059 |
+
n[o] && n[o].m(i, s);
|
3060 |
+
k(i, e, s);
|
3061 |
+
},
|
3062 |
+
p(i, s) {
|
3063 |
+
if (s[0] & /*progress_level, progress*/
|
3064 |
+
16512) {
|
3065 |
+
t = De(
|
3066 |
+
/*progress*/
|
3067 |
+
i[7]
|
3068 |
+
);
|
3069 |
+
let o;
|
3070 |
+
for (o = 0; o < t.length; o += 1) {
|
3071 |
+
const a = jt(i, t, o);
|
3072 |
+
n[o] ? n[o].p(a, s) : (n[o] = $t(a), n[o].c(), n[o].m(e.parentNode, e));
|
3073 |
+
}
|
3074 |
+
for (; o < n.length; o += 1)
|
3075 |
+
n[o].d(1);
|
3076 |
+
n.length = t.length;
|
3077 |
+
}
|
3078 |
+
},
|
3079 |
+
d(i) {
|
3080 |
+
i && v(e), yn(n, i);
|
3081 |
+
}
|
3082 |
+
};
|
3083 |
+
}
|
3084 |
+
function Kt(l) {
|
3085 |
+
let e, t, n, i, s = (
|
3086 |
+
/*i*/
|
3087 |
+
l[40] !== 0 && Io()
|
3088 |
+
), o = (
|
3089 |
+
/*p*/
|
3090 |
+
l[38].desc != null && Jt(l)
|
3091 |
+
), a = (
|
3092 |
+
/*p*/
|
3093 |
+
l[38].desc != null && /*progress_level*/
|
3094 |
+
l[14] && /*progress_level*/
|
3095 |
+
l[14][
|
3096 |
+
/*i*/
|
3097 |
+
l[40]
|
3098 |
+
] != null && Qt()
|
3099 |
+
), r = (
|
3100 |
+
/*progress_level*/
|
3101 |
+
l[14] != null && xt(l)
|
3102 |
+
);
|
3103 |
+
return {
|
3104 |
+
c() {
|
3105 |
+
s && s.c(), e = j(), o && o.c(), t = j(), a && a.c(), n = j(), r && r.c(), i = ke();
|
3106 |
+
},
|
3107 |
+
m(f, _) {
|
3108 |
+
s && s.m(f, _), k(f, e, _), o && o.m(f, _), k(f, t, _), a && a.m(f, _), k(f, n, _), r && r.m(f, _), k(f, i, _);
|
3109 |
+
},
|
3110 |
+
p(f, _) {
|
3111 |
+
/*p*/
|
3112 |
+
f[38].desc != null ? o ? o.p(f, _) : (o = Jt(f), o.c(), o.m(t.parentNode, t)) : o && (o.d(1), o = null), /*p*/
|
3113 |
+
f[38].desc != null && /*progress_level*/
|
3114 |
+
f[14] && /*progress_level*/
|
3115 |
+
f[14][
|
3116 |
+
/*i*/
|
3117 |
+
f[40]
|
3118 |
+
] != null ? a || (a = Qt(), a.c(), a.m(n.parentNode, n)) : a && (a.d(1), a = null), /*progress_level*/
|
3119 |
+
f[14] != null ? r ? r.p(f, _) : (r = xt(f), r.c(), r.m(i.parentNode, i)) : r && (r.d(1), r = null);
|
3120 |
+
},
|
3121 |
+
d(f) {
|
3122 |
+
f && (v(e), v(t), v(n), v(i)), s && s.d(f), o && o.d(f), a && a.d(f), r && r.d(f);
|
3123 |
+
}
|
3124 |
+
};
|
3125 |
+
}
|
3126 |
+
function Io(l) {
|
3127 |
+
let e;
|
3128 |
+
return {
|
3129 |
+
c() {
|
3130 |
+
e = M(" /");
|
3131 |
+
},
|
3132 |
+
m(t, n) {
|
3133 |
+
k(t, e, n);
|
3134 |
+
},
|
3135 |
+
d(t) {
|
3136 |
+
t && v(e);
|
3137 |
+
}
|
3138 |
+
};
|
3139 |
+
}
|
3140 |
+
function Jt(l) {
|
3141 |
+
let e = (
|
3142 |
+
/*p*/
|
3143 |
+
l[38].desc + ""
|
3144 |
+
), t;
|
3145 |
+
return {
|
3146 |
+
c() {
|
3147 |
+
t = M(e);
|
3148 |
+
},
|
3149 |
+
m(n, i) {
|
3150 |
+
k(n, t, i);
|
3151 |
+
},
|
3152 |
+
p(n, i) {
|
3153 |
+
i[0] & /*progress*/
|
3154 |
+
128 && e !== (e = /*p*/
|
3155 |
+
n[38].desc + "") && R(t, e);
|
3156 |
+
},
|
3157 |
+
d(n) {
|
3158 |
+
n && v(t);
|
3159 |
+
}
|
3160 |
+
};
|
3161 |
+
}
|
3162 |
+
function Qt(l) {
|
3163 |
+
let e;
|
3164 |
+
return {
|
3165 |
+
c() {
|
3166 |
+
e = M("-");
|
3167 |
+
},
|
3168 |
+
m(t, n) {
|
3169 |
+
k(t, e, n);
|
3170 |
+
},
|
3171 |
+
d(t) {
|
3172 |
+
t && v(e);
|
3173 |
+
}
|
3174 |
+
};
|
3175 |
+
}
|
3176 |
+
function xt(l) {
|
3177 |
+
let e = (100 * /*progress_level*/
|
3178 |
+
(l[14][
|
3179 |
+
/*i*/
|
3180 |
+
l[40]
|
3181 |
+
] || 0)).toFixed(1) + "", t, n;
|
3182 |
+
return {
|
3183 |
+
c() {
|
3184 |
+
t = M(e), n = M("%");
|
3185 |
+
},
|
3186 |
+
m(i, s) {
|
3187 |
+
k(i, t, s), k(i, n, s);
|
3188 |
+
},
|
3189 |
+
p(i, s) {
|
3190 |
+
s[0] & /*progress_level*/
|
3191 |
+
16384 && e !== (e = (100 * /*progress_level*/
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3192 |
+
(i[14][
|
3193 |
+
/*i*/
|
3194 |
+
i[40]
|
3195 |
+
] || 0)).toFixed(1) + "") && R(t, e);
|
3196 |
+
},
|
3197 |
+
d(i) {
|
3198 |
+
i && (v(t), v(n));
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3199 |
+
}
|
3200 |
+
};
|
3201 |
+
}
|
3202 |
+
function $t(l) {
|
3203 |
+
let e, t = (
|
3204 |
+
/*p*/
|
3205 |
+
(l[38].desc != null || /*progress_level*/
|
3206 |
+
l[14] && /*progress_level*/
|
3207 |
+
l[14][
|
3208 |
+
/*i*/
|
3209 |
+
l[40]
|
3210 |
+
] != null) && Kt(l)
|
3211 |
+
);
|
3212 |
+
return {
|
3213 |
+
c() {
|
3214 |
+
t && t.c(), e = ke();
|
3215 |
+
},
|
3216 |
+
m(n, i) {
|
3217 |
+
t && t.m(n, i), k(n, e, i);
|
3218 |
+
},
|
3219 |
+
p(n, i) {
|
3220 |
+
/*p*/
|
3221 |
+
n[38].desc != null || /*progress_level*/
|
3222 |
+
n[14] && /*progress_level*/
|
3223 |
+
n[14][
|
3224 |
+
/*i*/
|
3225 |
+
n[40]
|
3226 |
+
] != null ? t ? t.p(n, i) : (t = Kt(n), t.c(), t.m(e.parentNode, e)) : t && (t.d(1), t = null);
|
3227 |
+
},
|
3228 |
+
d(n) {
|
3229 |
+
n && v(e), t && t.d(n);
|
3230 |
+
}
|
3231 |
+
};
|
3232 |
+
}
|
3233 |
+
function en(l) {
|
3234 |
+
let e, t;
|
3235 |
+
return {
|
3236 |
+
c() {
|
3237 |
+
e = O("p"), t = M(
|
3238 |
+
/*loading_text*/
|
3239 |
+
l[9]
|
3240 |
+
), Y(e, "class", "loading svelte-14miwb5");
|
3241 |
+
},
|
3242 |
+
m(n, i) {
|
3243 |
+
k(n, e, i), ie(e, t);
|
3244 |
+
},
|
3245 |
+
p(n, i) {
|
3246 |
+
i[0] & /*loading_text*/
|
3247 |
+
512 && R(
|
3248 |
+
t,
|
3249 |
+
/*loading_text*/
|
3250 |
+
n[9]
|
3251 |
+
);
|
3252 |
+
},
|
3253 |
+
d(n) {
|
3254 |
+
n && v(e);
|
3255 |
+
}
|
3256 |
+
};
|
3257 |
+
}
|
3258 |
+
function Lo(l) {
|
3259 |
+
let e, t, n, i, s;
|
3260 |
+
const o = [po, wo], a = [];
|
3261 |
+
function r(f, _) {
|
3262 |
+
return (
|
3263 |
+
/*status*/
|
3264 |
+
f[4] === "pending" ? 0 : (
|
3265 |
+
/*status*/
|
3266 |
+
f[4] === "error" ? 1 : -1
|
3267 |
+
)
|
3268 |
+
);
|
3269 |
+
}
|
3270 |
+
return ~(t = r(l)) && (n = a[t] = o[t](l)), {
|
3271 |
+
c() {
|
3272 |
+
e = O("div"), n && n.c(), Y(e, "class", i = "wrap " + /*variant*/
|
3273 |
+
l[8] + " " + /*show_progress*/
|
3274 |
+
l[6] + " svelte-14miwb5"), E(e, "hide", !/*status*/
|
3275 |
+
l[4] || /*status*/
|
3276 |
+
l[4] === "complete" || /*show_progress*/
|
3277 |
+
l[6] === "hidden"), E(
|
3278 |
+
e,
|
3279 |
+
"translucent",
|
3280 |
+
/*variant*/
|
3281 |
+
l[8] === "center" && /*status*/
|
3282 |
+
(l[4] === "pending" || /*status*/
|
3283 |
+
l[4] === "error") || /*translucent*/
|
3284 |
+
l[11] || /*show_progress*/
|
3285 |
+
l[6] === "minimal"
|
3286 |
+
), E(
|
3287 |
+
e,
|
3288 |
+
"generating",
|
3289 |
+
/*status*/
|
3290 |
+
l[4] === "generating"
|
3291 |
+
), E(
|
3292 |
+
e,
|
3293 |
+
"border",
|
3294 |
+
/*border*/
|
3295 |
+
l[12]
|
3296 |
+
), $(
|
3297 |
+
e,
|
3298 |
+
"position",
|
3299 |
+
/*absolute*/
|
3300 |
+
l[10] ? "absolute" : "static"
|
3301 |
+
), $(
|
3302 |
+
e,
|
3303 |
+
"padding",
|
3304 |
+
/*absolute*/
|
3305 |
+
l[10] ? "0" : "var(--size-8) 0"
|
3306 |
+
);
|
3307 |
+
},
|
3308 |
+
m(f, _) {
|
3309 |
+
k(f, e, _), ~t && a[t].m(e, null), l[31](e), s = !0;
|
3310 |
+
},
|
3311 |
+
p(f, _) {
|
3312 |
+
let c = t;
|
3313 |
+
t = r(f), t === c ? ~t && a[t].p(f, _) : (n && (Cn(), be(a[c], 1, 1, () => {
|
3314 |
+
a[c] = null;
|
3315 |
+
}), kn()), ~t ? (n = a[t], n ? n.p(f, _) : (n = a[t] = o[t](f), n.c()), ge(n, 1), n.m(e, null)) : n = null), (!s || _[0] & /*variant, show_progress*/
|
3316 |
+
320 && i !== (i = "wrap " + /*variant*/
|
3317 |
+
f[8] + " " + /*show_progress*/
|
3318 |
+
f[6] + " svelte-14miwb5")) && Y(e, "class", i), (!s || _[0] & /*variant, show_progress, status, show_progress*/
|
3319 |
+
336) && E(e, "hide", !/*status*/
|
3320 |
+
f[4] || /*status*/
|
3321 |
+
f[4] === "complete" || /*show_progress*/
|
3322 |
+
f[6] === "hidden"), (!s || _[0] & /*variant, show_progress, variant, status, translucent, show_progress*/
|
3323 |
+
2384) && E(
|
3324 |
+
e,
|
3325 |
+
"translucent",
|
3326 |
+
/*variant*/
|
3327 |
+
f[8] === "center" && /*status*/
|
3328 |
+
(f[4] === "pending" || /*status*/
|
3329 |
+
f[4] === "error") || /*translucent*/
|
3330 |
+
f[11] || /*show_progress*/
|
3331 |
+
f[6] === "minimal"
|
3332 |
+
), (!s || _[0] & /*variant, show_progress, status*/
|
3333 |
+
336) && E(
|
3334 |
+
e,
|
3335 |
+
"generating",
|
3336 |
+
/*status*/
|
3337 |
+
f[4] === "generating"
|
3338 |
+
), (!s || _[0] & /*variant, show_progress, border*/
|
3339 |
+
4416) && E(
|
3340 |
+
e,
|
3341 |
+
"border",
|
3342 |
+
/*border*/
|
3343 |
+
f[12]
|
3344 |
+
), _[0] & /*absolute*/
|
3345 |
+
1024 && $(
|
3346 |
+
e,
|
3347 |
+
"position",
|
3348 |
+
/*absolute*/
|
3349 |
+
f[10] ? "absolute" : "static"
|
3350 |
+
), _[0] & /*absolute*/
|
3351 |
+
1024 && $(
|
3352 |
+
e,
|
3353 |
+
"padding",
|
3354 |
+
/*absolute*/
|
3355 |
+
f[10] ? "0" : "var(--size-8) 0"
|
3356 |
+
);
|
3357 |
+
},
|
3358 |
+
i(f) {
|
3359 |
+
s || (ge(n), s = !0);
|
3360 |
+
},
|
3361 |
+
o(f) {
|
3362 |
+
be(n), s = !1;
|
3363 |
+
},
|
3364 |
+
d(f) {
|
3365 |
+
f && v(e), ~t && a[t].d(), l[31](null);
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3366 |
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}
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3367 |
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};
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3368 |
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}
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3369 |
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let ze = [], Ue = !1;
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3370 |
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async function zo(l, e = !0) {
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3371 |
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if (!(window.__gradio_mode__ === "website" || window.__gradio_mode__ !== "app" && e !== !0)) {
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3372 |
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if (ze.push(l), !Ue)
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3373 |
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Ue = !0;
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3374 |
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3375 |
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return;
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3376 |
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await ho(), requestAnimationFrame(() => {
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3377 |
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for (let n = 0; n < ze.length; n++) {
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+
(n === 0 || s.top + window.scrollY <= t[0]) && (t[0] = s.top + window.scrollY, t[1] = n);
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+
}
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3382 |
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window.scrollTo({ top: t[0] - 20, behavior: "smooth" }), Ue = !1, ze = [];
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});
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}
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3385 |
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}
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3386 |
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function Ao(l, e, t) {
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3387 |
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let n, { $$slots: i = {}, $$scope: s } = e, { i18n: o } = e, { eta: a = null } = e, { queue: r = !1 } = e, { queue_position: f } = e, { queue_size: _ } = e, { status: c } = e, { scroll_to_output: u = !1 } = e, { timer: d = !0 } = e, { show_progress: g = "full" } = e, { message: p = null } = e, { progress: C = null } = e, { variant: I = "default" } = e, { loading_text: S = "Loading..." } = e, { absolute: m = !0 } = e, { translucent: y = !1 } = e, { border: w = !1 } = e, { autoscroll: Z } = e, V, h = !1, H = 0, A = 0, W = null, U = 0, N = null, te, G = null, ct = !0;
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3388 |
+
const Sn = () => {
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3389 |
+
t(25, H = performance.now()), t(26, A = 0), h = !0, ut();
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3390 |
+
};
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3391 |
+
function ut() {
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3392 |
+
requestAnimationFrame(() => {
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3393 |
+
t(26, A = (performance.now() - H) / 1e3), h && ut();
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3394 |
+
});
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3395 |
+
}
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3396 |
+
function dt() {
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3397 |
+
t(26, A = 0), h && (h = !1);
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3398 |
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}
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3399 |
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go(() => {
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3400 |
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h && dt();
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3401 |
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});
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3402 |
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let mt = null;
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3403 |
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function Mn(b) {
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3404 |
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Xt[b ? "unshift" : "push"](() => {
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3405 |
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G = b, t(16, G), t(7, C), t(14, N), t(15, te);
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3406 |
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});
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3407 |
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}
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3408 |
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function In(b) {
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3409 |
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Xt[b ? "unshift" : "push"](() => {
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V = b, t(13, V);
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});
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"i18n" in b && t(1, o = b.i18n), "eta" in b && t(0, a = b.eta), "queue" in b && t(21, r = b.queue), "queue_position" in b && t(2, f = b.queue_position), "queue_size" in b && t(3, _ = b.queue_size), "status" in b && t(4, c = b.status), "scroll_to_output" in b && t(22, u = b.scroll_to_output), "timer" in b && t(5, d = b.timer), "show_progress" in b && t(6, g = b.show_progress), "message" in b && t(23, p = b.message), "progress" in b && t(7, C = b.progress), "variant" in b && t(8, I = b.variant), "loading_text" in b && t(9, S = b.loading_text), "absolute" in b && t(10, m = b.absolute), "translucent" in b && t(11, y = b.translucent), "border" in b && t(12, w = b.border), "autoscroll" in b && t(24, Z = b.autoscroll), "$$scope" in b && t(28, s = b.$$scope);
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l.$$.dirty[0] & /*eta, old_eta, queue, timer_start*/
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169869313 && (a === null ? t(0, a = W) : r && t(0, a = (performance.now() - H) / 1e3 + a), a != null && (t(19, mt = a.toFixed(1)), t(27, W = a))), l.$$.dirty[0] & /*eta, timer_diff*/
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3418 |
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67108865 && t(17, U = a === null || a <= 0 || !A ? null : Math.min(A / a, 1)), l.$$.dirty[0] & /*progress*/
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128 && C != null && t(18, ct = !1), l.$$.dirty[0] & /*progress, progress_level, progress_bar, last_progress_level*/
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3420 |
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114816 && (C != null ? t(14, N = C.map((b) => {
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3421 |
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if (b.index != null && b.length != null)
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3422 |
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if (b.progress != null)
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3425 |
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})) : t(14, N = null), N ? (t(15, te = N[N.length - 1]), G && (te === 0 ? t(16, G.style.transition = "0", G) : t(16, G.style.transition = "150ms", G))) : t(15, te = void 0)), l.$$.dirty[0] & /*status*/
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3426 |
+
16 && (c === "pending" ? Sn() : dt()), l.$$.dirty[0] & /*el, scroll_to_output, status, autoscroll*/
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3427 |
+
20979728 && V && u && (c === "pending" || c === "complete") && zo(V, Z), l.$$.dirty[0] & /*status, message*/
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3428 |
+
8388624, l.$$.dirty[0] & /*timer_diff*/
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3429 |
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67108864 && t(20, n = A.toFixed(1));
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3430 |
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a,
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o,
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f,
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_,
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3435 |
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c,
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3436 |
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d,
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3437 |
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g,
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3438 |
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C,
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I,
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3440 |
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S,
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m,
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3442 |
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y,
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w,
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3444 |
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V,
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N,
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te,
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G,
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U,
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3449 |
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ct,
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3450 |
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mt,
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3451 |
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n,
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3452 |
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r,
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u,
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3454 |
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p,
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Z,
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H,
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A,
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W,
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s,
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3460 |
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i,
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3461 |
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Mn,
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In
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3463 |
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];
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3464 |
+
}
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3465 |
+
class Bo extends io {
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3466 |
+
constructor(e) {
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3467 |
+
super(), _o(
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3468 |
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this,
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3469 |
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e,
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3470 |
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Ao,
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3471 |
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Lo,
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3472 |
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uo,
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3473 |
+
{
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3474 |
+
i18n: 1,
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3475 |
+
eta: 0,
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3476 |
+
queue: 21,
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3477 |
+
queue_position: 2,
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3478 |
+
queue_size: 3,
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+
status: 4,
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3480 |
+
scroll_to_output: 22,
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3481 |
+
timer: 5,
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3482 |
+
show_progress: 6,
|
3483 |
+
message: 23,
|
3484 |
+
progress: 7,
|
3485 |
+
variant: 8,
|
3486 |
+
loading_text: 9,
|
3487 |
+
absolute: 10,
|
3488 |
+
translucent: 11,
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3489 |
+
border: 12,
|
3490 |
+
autoscroll: 24
|
3491 |
+
},
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3492 |
+
null,
|
3493 |
+
[-1, -1]
|
3494 |
+
);
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3495 |
+
}
|
3496 |
+
}
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3497 |
+
const { setContext: La, getContext: Fo } = window.__gradio__svelte__internal, Eo = "WORKER_PROXY_CONTEXT_KEY";
|
3498 |
+
function Do() {
|
3499 |
+
return Fo(Eo);
|
3500 |
+
}
|
3501 |
+
function Ro(l) {
|
3502 |
+
return l.host === window.location.host || l.host === "localhost:7860" || l.host === "127.0.0.1:7860" || // Ref: https://github.com/gradio-app/gradio/blob/v3.32.0/js/app/src/Index.svelte#L194
|
3503 |
+
l.host === "lite.local";
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3504 |
+
}
|
3505 |
+
async function tn(l) {
|
3506 |
+
if (l == null)
|
3507 |
+
return l;
|
3508 |
+
const e = new URL(l);
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3509 |
+
if (!Ro(e) || e.protocol !== "http:" && e.protocol !== "https:")
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3510 |
+
return l;
|
3511 |
+
const t = Do();
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3512 |
+
if (t == null)
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3513 |
+
return l;
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3514 |
+
const n = e.pathname;
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3515 |
+
return t.httpRequest({
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3516 |
+
method: "GET",
|
3517 |
+
path: n,
|
3518 |
+
headers: {},
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3519 |
+
query_string: ""
|
3520 |
+
}).then((i) => {
|
3521 |
+
if (i.status !== 200)
|
3522 |
+
throw new Error(`Failed to get file ${n} from the Wasm worker.`);
|
3523 |
+
const s = new Blob([i.body], {
|
3524 |
+
type: i.headers["Content-Type"]
|
3525 |
+
});
|
3526 |
+
return URL.createObjectURL(s);
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3527 |
+
});
|
3528 |
+
}
|
3529 |
+
const {
|
3530 |
+
SvelteComponent: Vo,
|
3531 |
+
append: To,
|
3532 |
+
assign: xe,
|
3533 |
+
compute_rest_props: nn,
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3534 |
+
detach: ft,
|
3535 |
+
element: qn,
|
3536 |
+
empty: Po,
|
3537 |
+
exclude_internal_props: No,
|
3538 |
+
get_spread_update: Xo,
|
3539 |
+
handle_promise: ln,
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3540 |
+
init: Yo,
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3541 |
+
insert: _t,
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3542 |
+
noop: ue,
|
3543 |
+
safe_not_equal: jo,
|
3544 |
+
set_attributes: sn,
|
3545 |
+
set_data: Zo,
|
3546 |
+
set_style: Uo,
|
3547 |
+
src_url_equal: Oo,
|
3548 |
+
text: Ho,
|
3549 |
+
toggle_class: on,
|
3550 |
+
update_await_block_branch: Wo
|
3551 |
+
} = window.__gradio__svelte__internal;
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3552 |
+
function Go(l) {
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3553 |
+
let e, t = (
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3554 |
+
/*error*/
|
3555 |
+
l[3].message + ""
|
3556 |
+
), n;
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3557 |
+
return {
|
3558 |
+
c() {
|
3559 |
+
e = qn("p"), n = Ho(t), Uo(e, "color", "red");
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3560 |
+
},
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3561 |
+
m(i, s) {
|
3562 |
+
_t(i, e, s), To(e, n);
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3563 |
+
},
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3564 |
+
p(i, s) {
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3565 |
+
s & /*src*/
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3566 |
+
1 && t !== (t = /*error*/
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3567 |
+
i[3].message + "") && Zo(n, t);
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3568 |
+
},
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3569 |
+
d(i) {
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3570 |
+
i && ft(e);
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3571 |
+
}
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3572 |
+
};
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3573 |
+
}
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3574 |
+
function Ko(l) {
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3575 |
+
let e, t, n = [
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3576 |
+
{
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3577 |
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src: t = /*resolved_src*/
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3578 |
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l[2]
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3579 |
+
},
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3580 |
+
/*$$restProps*/
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3581 |
+
l[1]
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3582 |
+
], i = {};
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3583 |
+
for (let s = 0; s < n.length; s += 1)
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3584 |
+
i = xe(i, n[s]);
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3585 |
+
return {
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3586 |
+
c() {
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3587 |
+
e = qn("img"), sn(e, i), on(e, "svelte-1k8xp4f", !0);
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3588 |
+
},
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3589 |
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m(s, o) {
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3590 |
+
_t(s, e, o);
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3591 |
+
},
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3592 |
+
p(s, o) {
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3593 |
+
sn(e, i = Xo(n, [
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3594 |
+
o & /*src*/
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3595 |
+
1 && !Oo(e.src, t = /*resolved_src*/
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3596 |
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s[2]) && { src: t },
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3597 |
+
o & /*$$restProps*/
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3598 |
+
2 && /*$$restProps*/
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3599 |
+
s[1]
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3600 |
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])), on(e, "svelte-1k8xp4f", !0);
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3601 |
+
},
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3602 |
+
d(s) {
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3603 |
+
s && ft(e);
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3604 |
+
}
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3605 |
+
};
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3606 |
+
}
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3607 |
+
function Jo(l) {
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3608 |
+
return { c: ue, m: ue, p: ue, d: ue };
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3609 |
+
}
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3610 |
+
function Qo(l) {
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3611 |
+
let e, t, n = {
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3612 |
+
ctx: l,
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3613 |
+
current: null,
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3614 |
+
token: null,
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3615 |
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hasCatch: !0,
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pending: Jo,
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3617 |
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then: Ko,
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3618 |
+
catch: Go,
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3619 |
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value: 2,
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3620 |
+
error: 3
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3621 |
+
};
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3622 |
+
return ln(t = tn(
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3623 |
+
/*src*/
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3624 |
+
l[0]
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3625 |
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), n), {
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3626 |
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c() {
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3627 |
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e = Po(), n.block.c();
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},
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m(i, s) {
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3630 |
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_t(i, e, s), n.block.m(i, n.anchor = s), n.mount = () => e.parentNode, n.anchor = e;
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},
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3632 |
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p(i, [s]) {
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3633 |
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l = i, n.ctx = l, s & /*src*/
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3634 |
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1 && t !== (t = tn(
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3635 |
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/*src*/
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3636 |
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l[0]
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3637 |
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)) && ln(t, n) || Wo(n, l, s);
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3638 |
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},
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3639 |
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i: ue,
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3640 |
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o: ue,
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3641 |
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d(i) {
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3642 |
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i && ft(e), n.block.d(i), n.token = null, n = null;
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3643 |
+
}
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3644 |
+
};
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3645 |
+
}
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3646 |
+
function xo(l, e, t) {
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3647 |
+
const n = ["src"];
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3648 |
+
let i = nn(e, n), { src: s = void 0 } = e;
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3649 |
+
return l.$$set = (o) => {
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3650 |
+
e = xe(xe({}, e), No(o)), t(1, i = nn(e, n)), "src" in o && t(0, s = o.src);
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3651 |
+
}, [s, i];
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3652 |
+
}
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3653 |
+
class $o extends Vo {
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3654 |
+
constructor(e) {
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3655 |
+
super(), Yo(this, e, xo, Qo, jo, { src: 0 });
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3656 |
+
}
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3657 |
+
}
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3658 |
+
const {
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3659 |
+
SvelteComponent: ea,
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3660 |
+
attr: ta,
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3661 |
+
create_component: na,
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3662 |
+
destroy_component: la,
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3663 |
+
detach: ia,
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3664 |
+
element: sa,
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3665 |
+
init: oa,
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3666 |
+
insert: aa,
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3667 |
+
mount_component: ra,
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3668 |
+
safe_not_equal: fa,
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3669 |
+
toggle_class: _e,
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3670 |
+
transition_in: _a,
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3671 |
+
transition_out: ca
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3672 |
+
} = window.__gradio__svelte__internal;
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3673 |
+
function ua(l) {
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3674 |
+
let e, t, n;
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3675 |
+
return t = new $o({
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3676 |
+
props: {
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3677 |
+
src: (
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3678 |
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/*samples_dir*/
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3679 |
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l[1] + /*value*/
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3680 |
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l[0]
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),
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3682 |
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alt: ""
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3683 |
+
}
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3684 |
+
}), {
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3685 |
+
c() {
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3686 |
+
e = sa("div"), na(t.$$.fragment), ta(e, "class", "container svelte-1iqucjz"), _e(
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3687 |
+
e,
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3688 |
+
"table",
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3689 |
+
/*type*/
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3690 |
+
l[2] === "table"
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3691 |
+
), _e(
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3692 |
+
e,
|
3693 |
+
"gallery",
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3694 |
+
/*type*/
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3695 |
+
l[2] === "gallery"
|
3696 |
+
), _e(
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3697 |
+
e,
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3698 |
+
"selected",
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3699 |
+
/*selected*/
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3700 |
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l[3]
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3701 |
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);
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3702 |
+
},
|
3703 |
+
m(i, s) {
|
3704 |
+
aa(i, e, s), ra(t, e, null), n = !0;
|
3705 |
+
},
|
3706 |
+
p(i, [s]) {
|
3707 |
+
const o = {};
|
3708 |
+
s & /*samples_dir, value*/
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3709 |
+
3 && (o.src = /*samples_dir*/
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3710 |
+
i[1] + /*value*/
|
3711 |
+
i[0]), t.$set(o), (!n || s & /*type*/
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3712 |
+
4) && _e(
|
3713 |
+
e,
|
3714 |
+
"table",
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3715 |
+
/*type*/
|
3716 |
+
i[2] === "table"
|
3717 |
+
), (!n || s & /*type*/
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3718 |
+
4) && _e(
|
3719 |
+
e,
|
3720 |
+
"gallery",
|
3721 |
+
/*type*/
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3722 |
+
i[2] === "gallery"
|
3723 |
+
), (!n || s & /*selected*/
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3724 |
+
8) && _e(
|
3725 |
+
e,
|
3726 |
+
"selected",
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3727 |
+
/*selected*/
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3728 |
+
i[3]
|
3729 |
+
);
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3730 |
+
},
|
3731 |
+
i(i) {
|
3732 |
+
n || (_a(t.$$.fragment, i), n = !0);
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3733 |
+
},
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3734 |
+
o(i) {
|
3735 |
+
ca(t.$$.fragment, i), n = !1;
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3736 |
+
},
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3737 |
+
d(i) {
|
3738 |
+
i && ia(e), la(t);
|
3739 |
+
}
|
3740 |
+
};
|
3741 |
+
}
|
3742 |
+
function da(l, e, t) {
|
3743 |
+
let { value: n } = e, { samples_dir: i } = e, { type: s } = e, { selected: o = !1 } = e;
|
3744 |
+
return l.$$set = (a) => {
|
3745 |
+
"value" in a && t(0, n = a.value), "samples_dir" in a && t(1, i = a.samples_dir), "type" in a && t(2, s = a.type), "selected" in a && t(3, o = a.selected);
|
3746 |
+
}, [n, i, s, o];
|
3747 |
+
}
|
3748 |
+
class za extends ea {
|
3749 |
+
constructor(e) {
|
3750 |
+
super(), oa(this, e, da, ua, fa, {
|
3751 |
+
value: 0,
|
3752 |
+
samples_dir: 1,
|
3753 |
+
type: 2,
|
3754 |
+
selected: 3
|
3755 |
+
});
|
3756 |
+
}
|
3757 |
+
}
|
3758 |
+
const {
|
3759 |
+
SvelteComponent: ma,
|
3760 |
+
assign: ha,
|
3761 |
+
create_component: $e,
|
3762 |
+
destroy_component: et,
|
3763 |
+
detach: ga,
|
3764 |
+
flush: z,
|
3765 |
+
get_spread_object: ba,
|
3766 |
+
get_spread_update: wa,
|
3767 |
+
init: pa,
|
3768 |
+
insert: va,
|
3769 |
+
mount_component: tt,
|
3770 |
+
safe_not_equal: ka,
|
3771 |
+
space: ya,
|
3772 |
+
transition_in: nt,
|
3773 |
+
transition_out: lt
|
3774 |
+
} = window.__gradio__svelte__internal;
|
3775 |
+
function Ca(l) {
|
3776 |
+
let e, t, n, i;
|
3777 |
+
const s = [
|
3778 |
+
{
|
3779 |
+
autoscroll: (
|
3780 |
+
/*gradio*/
|
3781 |
+
l[15].autoscroll
|
3782 |
+
)
|
3783 |
+
},
|
3784 |
+
{ i18n: (
|
3785 |
+
/*gradio*/
|
3786 |
+
l[15].i18n
|
3787 |
+
) },
|
3788 |
+
/*loading_status*/
|
3789 |
+
l[13]
|
3790 |
+
];
|
3791 |
+
let o = {};
|
3792 |
+
for (let a = 0; a < s.length; a += 1)
|
3793 |
+
o = ha(o, s[a]);
|
3794 |
+
return e = new Bo({ props: o }), n = new Us({
|
3795 |
+
props: {
|
3796 |
+
root: (
|
3797 |
+
/*root*/
|
3798 |
+
l[7]
|
3799 |
+
),
|
3800 |
+
value: (
|
3801 |
+
/*value*/
|
3802 |
+
l[0]
|
3803 |
+
),
|
3804 |
+
label: (
|
3805 |
+
/*label*/
|
3806 |
+
l[4]
|
3807 |
+
),
|
3808 |
+
show_label: (
|
3809 |
+
/*show_label*/
|
3810 |
+
l[5]
|
3811 |
+
),
|
3812 |
+
show_download_button: (
|
3813 |
+
/*show_download_button*/
|
3814 |
+
l[6]
|
3815 |
+
),
|
3816 |
+
show_share_button: (
|
3817 |
+
/*show_share_button*/
|
3818 |
+
l[14]
|
3819 |
+
),
|
3820 |
+
i18n: (
|
3821 |
+
/*gradio*/
|
3822 |
+
l[15].i18n
|
3823 |
+
)
|
3824 |
+
}
|
3825 |
+
}), n.$on(
|
3826 |
+
"select",
|
3827 |
+
/*select_handler*/
|
3828 |
+
l[17]
|
3829 |
+
), n.$on(
|
3830 |
+
"share",
|
3831 |
+
/*share_handler*/
|
3832 |
+
l[18]
|
3833 |
+
), n.$on(
|
3834 |
+
"error",
|
3835 |
+
/*error_handler*/
|
3836 |
+
l[19]
|
3837 |
+
), {
|
3838 |
+
c() {
|
3839 |
+
$e(e.$$.fragment), t = ya(), $e(n.$$.fragment);
|
3840 |
+
},
|
3841 |
+
m(a, r) {
|
3842 |
+
tt(e, a, r), va(a, t, r), tt(n, a, r), i = !0;
|
3843 |
+
},
|
3844 |
+
p(a, r) {
|
3845 |
+
const f = r & /*gradio, loading_status*/
|
3846 |
+
40960 ? wa(s, [
|
3847 |
+
r & /*gradio*/
|
3848 |
+
32768 && {
|
3849 |
+
autoscroll: (
|
3850 |
+
/*gradio*/
|
3851 |
+
a[15].autoscroll
|
3852 |
+
)
|
3853 |
+
},
|
3854 |
+
r & /*gradio*/
|
3855 |
+
32768 && { i18n: (
|
3856 |
+
/*gradio*/
|
3857 |
+
a[15].i18n
|
3858 |
+
) },
|
3859 |
+
r & /*loading_status*/
|
3860 |
+
8192 && ba(
|
3861 |
+
/*loading_status*/
|
3862 |
+
a[13]
|
3863 |
+
)
|
3864 |
+
]) : {};
|
3865 |
+
e.$set(f);
|
3866 |
+
const _ = {};
|
3867 |
+
r & /*root*/
|
3868 |
+
128 && (_.root = /*root*/
|
3869 |
+
a[7]), r & /*value*/
|
3870 |
+
1 && (_.value = /*value*/
|
3871 |
+
a[0]), r & /*label*/
|
3872 |
+
16 && (_.label = /*label*/
|
3873 |
+
a[4]), r & /*show_label*/
|
3874 |
+
32 && (_.show_label = /*show_label*/
|
3875 |
+
a[5]), r & /*show_download_button*/
|
3876 |
+
64 && (_.show_download_button = /*show_download_button*/
|
3877 |
+
a[6]), r & /*show_share_button*/
|
3878 |
+
16384 && (_.show_share_button = /*show_share_button*/
|
3879 |
+
a[14]), r & /*gradio*/
|
3880 |
+
32768 && (_.i18n = /*gradio*/
|
3881 |
+
a[15].i18n), n.$set(_);
|
3882 |
+
},
|
3883 |
+
i(a) {
|
3884 |
+
i || (nt(e.$$.fragment, a), nt(n.$$.fragment, a), i = !0);
|
3885 |
+
},
|
3886 |
+
o(a) {
|
3887 |
+
lt(e.$$.fragment, a), lt(n.$$.fragment, a), i = !1;
|
3888 |
+
},
|
3889 |
+
d(a) {
|
3890 |
+
a && ga(t), et(e, a), et(n, a);
|
3891 |
+
}
|
3892 |
+
};
|
3893 |
+
}
|
3894 |
+
function qa(l) {
|
3895 |
+
let e, t;
|
3896 |
+
return e = new Wn({
|
3897 |
+
props: {
|
3898 |
+
visible: (
|
3899 |
+
/*visible*/
|
3900 |
+
l[3]
|
3901 |
+
),
|
3902 |
+
variant: "solid",
|
3903 |
+
border_mode: (
|
3904 |
+
/*dragging*/
|
3905 |
+
l[16] ? "focus" : "base"
|
3906 |
+
),
|
3907 |
+
padding: !1,
|
3908 |
+
elem_id: (
|
3909 |
+
/*elem_id*/
|
3910 |
+
l[1]
|
3911 |
+
),
|
3912 |
+
elem_classes: (
|
3913 |
+
/*elem_classes*/
|
3914 |
+
l[2]
|
3915 |
+
),
|
3916 |
+
height: (
|
3917 |
+
/*height*/
|
3918 |
+
l[8] || void 0
|
3919 |
+
),
|
3920 |
+
width: (
|
3921 |
+
/*width*/
|
3922 |
+
l[9]
|
3923 |
+
),
|
3924 |
+
allow_overflow: !1,
|
3925 |
+
container: (
|
3926 |
+
/*container*/
|
3927 |
+
l[10]
|
3928 |
+
),
|
3929 |
+
scale: (
|
3930 |
+
/*scale*/
|
3931 |
+
l[11]
|
3932 |
+
),
|
3933 |
+
min_width: (
|
3934 |
+
/*min_width*/
|
3935 |
+
l[12]
|
3936 |
+
),
|
3937 |
+
$$slots: { default: [Ca] },
|
3938 |
+
$$scope: { ctx: l }
|
3939 |
+
}
|
3940 |
+
}), {
|
3941 |
+
c() {
|
3942 |
+
$e(e.$$.fragment);
|
3943 |
+
},
|
3944 |
+
m(n, i) {
|
3945 |
+
tt(e, n, i), t = !0;
|
3946 |
+
},
|
3947 |
+
p(n, [i]) {
|
3948 |
+
const s = {};
|
3949 |
+
i & /*visible*/
|
3950 |
+
8 && (s.visible = /*visible*/
|
3951 |
+
n[3]), i & /*elem_id*/
|
3952 |
+
2 && (s.elem_id = /*elem_id*/
|
3953 |
+
n[1]), i & /*elem_classes*/
|
3954 |
+
4 && (s.elem_classes = /*elem_classes*/
|
3955 |
+
n[2]), i & /*height*/
|
3956 |
+
256 && (s.height = /*height*/
|
3957 |
+
n[8] || void 0), i & /*width*/
|
3958 |
+
512 && (s.width = /*width*/
|
3959 |
+
n[9]), i & /*container*/
|
3960 |
+
1024 && (s.container = /*container*/
|
3961 |
+
n[10]), i & /*scale*/
|
3962 |
+
2048 && (s.scale = /*scale*/
|
3963 |
+
n[11]), i & /*min_width*/
|
3964 |
+
4096 && (s.min_width = /*min_width*/
|
3965 |
+
n[12]), i & /*$$scope, root, value, label, show_label, show_download_button, show_share_button, gradio, loading_status*/
|
3966 |
+
2154737 && (s.$$scope = { dirty: i, ctx: n }), e.$set(s);
|
3967 |
+
},
|
3968 |
+
i(n) {
|
3969 |
+
t || (nt(e.$$.fragment, n), t = !0);
|
3970 |
+
},
|
3971 |
+
o(n) {
|
3972 |
+
lt(e.$$.fragment, n), t = !1;
|
3973 |
+
},
|
3974 |
+
d(n) {
|
3975 |
+
et(e, n);
|
3976 |
+
}
|
3977 |
+
};
|
3978 |
+
}
|
3979 |
+
function Sa(l, e, t) {
|
3980 |
+
function n(h) {
|
3981 |
+
let H, A = h[0], W = 1;
|
3982 |
+
for (; W < h.length; ) {
|
3983 |
+
const U = h[W], N = h[W + 1];
|
3984 |
+
if (W += 2, (U === "optionalAccess" || U === "optionalCall") && A == null)
|
3985 |
+
return;
|
3986 |
+
U === "access" || U === "optionalAccess" ? (H = A, A = N(A)) : (U === "call" || U === "optionalCall") && (A = N((...te) => A.call(H, ...te)), H = void 0);
|
3987 |
+
}
|
3988 |
+
return A;
|
3989 |
+
}
|
3990 |
+
let { elem_id: i = "" } = e, { elem_classes: s = [] } = e, { visible: o = !0 } = e, { value: a = null } = e, { label: r } = e, { show_label: f } = e, { show_download_button: _ } = e, { root: c } = e, { height: u } = e, { width: d } = e, { container: g = !0 } = e, { scale: p = null } = e, { min_width: C = void 0 } = e, { loading_status: I } = e, { show_share_button: S = !1 } = e, { gradio: m } = e, y;
|
3991 |
+
const w = ({ detail: h }) => m.dispatch("select", h), Z = ({ detail: h }) => m.dispatch("share", h), V = ({ detail: h }) => m.dispatch("error", h);
|
3992 |
+
return l.$$set = (h) => {
|
3993 |
+
"elem_id" in h && t(1, i = h.elem_id), "elem_classes" in h && t(2, s = h.elem_classes), "visible" in h && t(3, o = h.visible), "value" in h && t(0, a = h.value), "label" in h && t(4, r = h.label), "show_label" in h && t(5, f = h.show_label), "show_download_button" in h && t(6, _ = h.show_download_button), "root" in h && t(7, c = h.root), "height" in h && t(8, u = h.height), "width" in h && t(9, d = h.width), "container" in h && t(10, g = h.container), "scale" in h && t(11, p = h.scale), "min_width" in h && t(12, C = h.min_width), "loading_status" in h && t(13, I = h.loading_status), "show_share_button" in h && t(14, S = h.show_share_button), "gradio" in h && t(15, m = h.gradio);
|
3994 |
+
}, l.$$.update = () => {
|
3995 |
+
l.$$.dirty & /*value*/
|
3996 |
+
1 && t(0, a = a || null), l.$$.dirty & /*value*/
|
3997 |
+
1 && console.log(a), l.$$.dirty & /*value, gradio*/
|
3998 |
+
32769 && n([a, "optionalAccess", (h) => h.image, "optionalAccess", (h) => h.url]) && m.dispatch("change");
|
3999 |
+
}, [
|
4000 |
+
a,
|
4001 |
+
i,
|
4002 |
+
s,
|
4003 |
+
o,
|
4004 |
+
r,
|
4005 |
+
f,
|
4006 |
+
_,
|
4007 |
+
c,
|
4008 |
+
u,
|
4009 |
+
d,
|
4010 |
+
g,
|
4011 |
+
p,
|
4012 |
+
C,
|
4013 |
+
I,
|
4014 |
+
S,
|
4015 |
+
m,
|
4016 |
+
y,
|
4017 |
+
w,
|
4018 |
+
Z,
|
4019 |
+
V
|
4020 |
+
];
|
4021 |
+
}
|
4022 |
+
class Aa extends ma {
|
4023 |
+
constructor(e) {
|
4024 |
+
super(), pa(this, e, Sa, qa, ka, {
|
4025 |
+
elem_id: 1,
|
4026 |
+
elem_classes: 2,
|
4027 |
+
visible: 3,
|
4028 |
+
value: 0,
|
4029 |
+
label: 4,
|
4030 |
+
show_label: 5,
|
4031 |
+
show_download_button: 6,
|
4032 |
+
root: 7,
|
4033 |
+
height: 8,
|
4034 |
+
width: 9,
|
4035 |
+
container: 10,
|
4036 |
+
scale: 11,
|
4037 |
+
min_width: 12,
|
4038 |
+
loading_status: 13,
|
4039 |
+
show_share_button: 14,
|
4040 |
+
gradio: 15
|
4041 |
+
});
|
4042 |
+
}
|
4043 |
+
get elem_id() {
|
4044 |
+
return this.$$.ctx[1];
|
4045 |
+
}
|
4046 |
+
set elem_id(e) {
|
4047 |
+
this.$$set({ elem_id: e }), z();
|
4048 |
+
}
|
4049 |
+
get elem_classes() {
|
4050 |
+
return this.$$.ctx[2];
|
4051 |
+
}
|
4052 |
+
set elem_classes(e) {
|
4053 |
+
this.$$set({ elem_classes: e }), z();
|
4054 |
+
}
|
4055 |
+
get visible() {
|
4056 |
+
return this.$$.ctx[3];
|
4057 |
+
}
|
4058 |
+
set visible(e) {
|
4059 |
+
this.$$set({ visible: e }), z();
|
4060 |
+
}
|
4061 |
+
get value() {
|
4062 |
+
return this.$$.ctx[0];
|
4063 |
+
}
|
4064 |
+
set value(e) {
|
4065 |
+
this.$$set({ value: e }), z();
|
4066 |
+
}
|
4067 |
+
get label() {
|
4068 |
+
return this.$$.ctx[4];
|
4069 |
+
}
|
4070 |
+
set label(e) {
|
4071 |
+
this.$$set({ label: e }), z();
|
4072 |
+
}
|
4073 |
+
get show_label() {
|
4074 |
+
return this.$$.ctx[5];
|
4075 |
+
}
|
4076 |
+
set show_label(e) {
|
4077 |
+
this.$$set({ show_label: e }), z();
|
4078 |
+
}
|
4079 |
+
get show_download_button() {
|
4080 |
+
return this.$$.ctx[6];
|
4081 |
+
}
|
4082 |
+
set show_download_button(e) {
|
4083 |
+
this.$$set({ show_download_button: e }), z();
|
4084 |
+
}
|
4085 |
+
get root() {
|
4086 |
+
return this.$$.ctx[7];
|
4087 |
+
}
|
4088 |
+
set root(e) {
|
4089 |
+
this.$$set({ root: e }), z();
|
4090 |
+
}
|
4091 |
+
get height() {
|
4092 |
+
return this.$$.ctx[8];
|
4093 |
+
}
|
4094 |
+
set height(e) {
|
4095 |
+
this.$$set({ height: e }), z();
|
4096 |
+
}
|
4097 |
+
get width() {
|
4098 |
+
return this.$$.ctx[9];
|
4099 |
+
}
|
4100 |
+
set width(e) {
|
4101 |
+
this.$$set({ width: e }), z();
|
4102 |
+
}
|
4103 |
+
get container() {
|
4104 |
+
return this.$$.ctx[10];
|
4105 |
+
}
|
4106 |
+
set container(e) {
|
4107 |
+
this.$$set({ container: e }), z();
|
4108 |
+
}
|
4109 |
+
get scale() {
|
4110 |
+
return this.$$.ctx[11];
|
4111 |
+
}
|
4112 |
+
set scale(e) {
|
4113 |
+
this.$$set({ scale: e }), z();
|
4114 |
+
}
|
4115 |
+
get min_width() {
|
4116 |
+
return this.$$.ctx[12];
|
4117 |
+
}
|
4118 |
+
set min_width(e) {
|
4119 |
+
this.$$set({ min_width: e }), z();
|
4120 |
+
}
|
4121 |
+
get loading_status() {
|
4122 |
+
return this.$$.ctx[13];
|
4123 |
+
}
|
4124 |
+
set loading_status(e) {
|
4125 |
+
this.$$set({ loading_status: e }), z();
|
4126 |
+
}
|
4127 |
+
get show_share_button() {
|
4128 |
+
return this.$$.ctx[14];
|
4129 |
+
}
|
4130 |
+
set show_share_button(e) {
|
4131 |
+
this.$$set({ show_share_button: e }), z();
|
4132 |
+
}
|
4133 |
+
get gradio() {
|
4134 |
+
return this.$$.ctx[15];
|
4135 |
+
}
|
4136 |
+
set gradio(e) {
|
4137 |
+
this.$$set({ gradio: e }), z();
|
4138 |
+
}
|
4139 |
+
}
|
4140 |
+
export {
|
4141 |
+
za as BaseExample,
|
4142 |
+
Us as BaseStaticImage,
|
4143 |
+
Aa as default
|
4144 |
+
};
|
src/backend/gradio_blurhashimage/templates/component/style.css
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
.block.svelte-1t38q2d{position:relative;margin:0;box-shadow:var(--block-shadow);border-width:var(--block-border-width);border-color:var(--block-border-color);border-radius:var(--block-radius);background:var(--block-background-fill);width:100%;line-height:var(--line-sm)}.block.border_focus.svelte-1t38q2d{border-color:var(--color-accent)}.padded.svelte-1t38q2d{padding:var(--block-padding)}.hidden.svelte-1t38q2d{display:none}.hide-container.svelte-1t38q2d{margin:0;box-shadow:none;--block-border-width:0;background:transparent;padding:0;overflow:visible}div.svelte-1hnfib2{margin-bottom:var(--spacing-lg);color:var(--block-info-text-color);font-weight:var(--block-info-text-weight);font-size:var(--block-info-text-size);line-height:var(--line-sm)}span.has-info.svelte-22c38v{margin-bottom:var(--spacing-xs)}span.svelte-22c38v:not(.has-info){margin-bottom:var(--spacing-lg)}span.svelte-22c38v{display:inline-block;position:relative;z-index:var(--layer-4);border:solid var(--block-title-border-width) var(--block-title-border-color);border-radius:var(--block-title-radius);background:var(--block-title-background-fill);padding:var(--block-title-padding);color:var(--block-title-text-color);font-weight:var(--block-title-text-weight);font-size:var(--block-title-text-size);line-height:var(--line-sm)}.hide.svelte-22c38v{margin:0;height:0}label.svelte-9gxdi0{display:inline-flex;align-items:center;z-index:var(--layer-2);box-shadow:var(--block-label-shadow);border:var(--block-label-border-width) solid var(--border-color-primary);border-top:none;border-left:none;border-radius:var(--block-label-radius);background:var(--block-label-background-fill);padding:var(--block-label-padding);pointer-events:none;color:var(--block-label-text-color);font-weight:var(--block-label-text-weight);font-size:var(--block-label-text-size);line-height:var(--line-sm)}.gr-group label.svelte-9gxdi0{border-top-left-radius:0}label.float.svelte-9gxdi0{position:absolute;top:var(--block-label-margin);left:var(--block-label-margin)}label.svelte-9gxdi0:not(.float){position:static;margin-top:var(--block-label-margin);margin-left:var(--block-label-margin)}.hide.svelte-9gxdi0{height:0}span.svelte-9gxdi0{opacity:.8;margin-right:var(--size-2);width:calc(var(--block-label-text-size) - 1px);height:calc(var(--block-label-text-size) - 1px)}.hide-label.svelte-9gxdi0{box-shadow:none;border-width:0;background:transparent;overflow:visible}button.svelte-xtz2g8{display:flex;justify-content:center;align-items:center;gap:1px;z-index:var(--layer-2);border-radius:var(--radius-sm);color:var(--block-label-text-color);border:1px solid transparent}.padded.svelte-xtz2g8{padding:2px;background:var(--background-fill-primary);box-shadow:var(--shadow-drop);border:1px solid var(--button-secondary-border-color)}button.svelte-xtz2g8:hover{cursor:pointer;color:var(--color-accent)}.padded.svelte-xtz2g8:hover{border:2px solid var(--button-secondary-border-color-hover);padding:1px;color:var(--block-label-text-color)}span.svelte-xtz2g8{padding:0 1px;font-size:10px}div.svelte-xtz2g8{padding:2px;display:flex;align-items:flex-end}.small.svelte-xtz2g8{width:14px;height:14px}.large.svelte-xtz2g8{width:22px;height:22px}.pending.svelte-xtz2g8{animation:svelte-xtz2g8-flash .5s infinite}@keyframes svelte-xtz2g8-flash{0%{opacity:.5}50%{opacity:1}to{opacity:.5}}.empty.svelte-3w3rth{display:flex;justify-content:center;align-items:center;margin-top:calc(0px - var(--size-6));height:var(--size-full)}.icon.svelte-3w3rth{opacity:.5;height:var(--size-5);color:var(--body-text-color)}.small.svelte-3w3rth{min-height:calc(var(--size-32) - 20px)}.large.svelte-3w3rth{min-height:calc(var(--size-64) - 20px)}.unpadded_box.svelte-3w3rth{margin-top:0}.small_parent.svelte-3w3rth{min-height:100%!important}.dropdown-arrow.svelte-145leq6{fill:currentColor}.wrap.svelte-kzcjhc{display:flex;flex-direction:column;justify-content:center;align-items:center;min-height:var(--size-60);color:var(--block-label-text-color);line-height:var(--line-md);height:100%;padding-top:var(--size-3)}.or.svelte-kzcjhc{color:var(--body-text-color-subdued);display:flex}.icon-wrap.svelte-kzcjhc{width:30px;margin-bottom:var(--spacing-lg)}@media (--screen-md){.wrap.svelte-kzcjhc{font-size:var(--text-lg)}}.hovered.svelte-kzcjhc{color:var(--color-accent)}div.svelte-1nba87b{border-top:1px solid transparent;display:flex;max-height:100%;justify-content:center;gap:var(--spacing-sm);height:auto;align-items:flex-end;box-shadow:var(--shadow-drop);padding:var(--spacing-xl) 0;color:var(--block-label-text-color);flex-shrink:0;width:95%}.show_border.svelte-1nba87b{border-top:1px solid var(--block-border-color);margin-top:var(--spacing-xxl)}.source-selection.svelte-lde7lt{display:flex;align-items:center;justify-content:center;border-top:1px solid var(--border-color-primary);width:95%;bottom:0;left:0;right:0;margin-left:auto;margin-right:auto;align-self:flex-end}.icon.svelte-lde7lt{width:22px;height:22px;margin:var(--spacing-lg) var(--spacing-xs);padding:var(--spacing-xs);color:var(--neutral-400);border-radius:var(--radius-md)}.selected.svelte-lde7lt{color:var(--color-accent)}.icon.svelte-lde7lt:hover,.icon.svelte-lde7lt:focus{color:var(--color-accent)}.image-wrapper.svelte-fz4vky{max-width:100%;object-fit:cover}button.svelte-fz4vky{width:var(--size-full);height:var(--size-full);object-fit:contain;display:block}.selectable.svelte-fz4vky{cursor:crosshair}.icon-buttons.svelte-fz4vky{display:flex;position:absolute;top:6px;right:6px;gap:var(--size-1)}svg.svelte-43sxxs.svelte-43sxxs{width:var(--size-20);height:var(--size-20)}svg.svelte-43sxxs path.svelte-43sxxs{fill:var(--loader-color)}div.svelte-43sxxs.svelte-43sxxs{z-index:var(--layer-2)}.margin.svelte-43sxxs.svelte-43sxxs{margin:var(--size-4)}.wrap.svelte-14miwb5.svelte-14miwb5{display:flex;flex-direction:column;justify-content:center;align-items:center;z-index:var(--layer-5);transition:opacity .1s ease-in-out;border-radius:var(--block-radius);background:var(--block-background-fill);padding:0 var(--size-6);max-height:var(--size-screen-h);overflow:hidden;pointer-events:none}.wrap.center.svelte-14miwb5.svelte-14miwb5{top:0;right:0;left:0}.wrap.default.svelte-14miwb5.svelte-14miwb5{top:0;right:0;bottom:0;left:0}.hide.svelte-14miwb5.svelte-14miwb5{opacity:0;pointer-events:none}.generating.svelte-14miwb5.svelte-14miwb5{animation:svelte-14miwb5-pulse 2s cubic-bezier(.4,0,.6,1) infinite;border:2px solid var(--color-accent);background:transparent}.translucent.svelte-14miwb5.svelte-14miwb5{background:none}@keyframes svelte-14miwb5-pulse{0%,to{opacity:1}50%{opacity:.5}}.loading.svelte-14miwb5.svelte-14miwb5{z-index:var(--layer-2);color:var(--body-text-color)}.eta-bar.svelte-14miwb5.svelte-14miwb5{position:absolute;top:0;right:0;bottom:0;left:0;transform-origin:left;opacity:.8;z-index:var(--layer-1);transition:10ms;background:var(--background-fill-secondary)}.progress-bar-wrap.svelte-14miwb5.svelte-14miwb5{border:1px solid var(--border-color-primary);background:var(--background-fill-primary);width:55.5%;height:var(--size-4)}.progress-bar.svelte-14miwb5.svelte-14miwb5{transform-origin:left;background-color:var(--loader-color);width:var(--size-full);height:var(--size-full)}.progress-level.svelte-14miwb5.svelte-14miwb5{display:flex;flex-direction:column;align-items:center;gap:1;z-index:var(--layer-2);width:var(--size-full)}.progress-level-inner.svelte-14miwb5.svelte-14miwb5{margin:var(--size-2) auto;color:var(--body-text-color);font-size:var(--text-sm);font-family:var(--font-mono)}.meta-text.svelte-14miwb5.svelte-14miwb5{position:absolute;top:0;right:0;z-index:var(--layer-2);padding:var(--size-1) var(--size-2);font-size:var(--text-sm);font-family:var(--font-mono)}.meta-text-center.svelte-14miwb5.svelte-14miwb5{display:flex;position:absolute;top:0;right:0;justify-content:center;align-items:center;transform:translateY(var(--size-6));z-index:var(--layer-2);padding:var(--size-1) var(--size-2);font-size:var(--text-sm);font-family:var(--font-mono);text-align:center}.error.svelte-14miwb5.svelte-14miwb5{box-shadow:var(--shadow-drop);border:solid 1px var(--error-border-color);border-radius:var(--radius-full);background:var(--error-background-fill);padding-right:var(--size-4);padding-left:var(--size-4);color:var(--error-text-color);font-weight:var(--weight-semibold);font-size:var(--text-lg);line-height:var(--line-lg);font-family:var(--font)}.minimal.svelte-14miwb5 .progress-text.svelte-14miwb5{background:var(--block-background-fill)}.border.svelte-14miwb5.svelte-14miwb5{border:1px solid var(--border-color-primary)}.toast-body.svelte-solcu7{display:flex;position:relative;right:0;left:0;align-items:center;margin:var(--size-6) var(--size-4);margin:auto;border-radius:var(--container-radius);overflow:hidden;pointer-events:auto}.toast-body.error.svelte-solcu7{border:1px solid var(--color-red-700);background:var(--color-red-50)}.dark .toast-body.error.svelte-solcu7{border:1px solid var(--color-red-500);background-color:var(--color-grey-950)}.toast-body.warning.svelte-solcu7{border:1px solid var(--color-yellow-700);background:var(--color-yellow-50)}.dark .toast-body.warning.svelte-solcu7{border:1px solid var(--color-yellow-500);background-color:var(--color-grey-950)}.toast-body.info.svelte-solcu7{border:1px solid var(--color-grey-700);background:var(--color-grey-50)}.dark .toast-body.info.svelte-solcu7{border:1px solid var(--color-grey-500);background-color:var(--color-grey-950)}.toast-title.svelte-solcu7{display:flex;align-items:center;font-weight:var(--weight-bold);font-size:var(--text-lg);line-height:var(--line-sm);text-transform:capitalize}.toast-title.error.svelte-solcu7{color:var(--color-red-700)}.dark .toast-title.error.svelte-solcu7{color:var(--color-red-50)}.toast-title.warning.svelte-solcu7{color:var(--color-yellow-700)}.dark .toast-title.warning.svelte-solcu7{color:var(--color-yellow-50)}.toast-title.info.svelte-solcu7{color:var(--color-grey-700)}.dark .toast-title.info.svelte-solcu7{color:var(--color-grey-50)}.toast-close.svelte-solcu7{margin:0 var(--size-3);border-radius:var(--size-3);padding:0px var(--size-1-5);font-size:var(--size-5);line-height:var(--size-5)}.toast-close.error.svelte-solcu7{color:var(--color-red-700)}.dark .toast-close.error.svelte-solcu7{color:var(--color-red-500)}.toast-close.warning.svelte-solcu7{color:var(--color-yellow-700)}.dark .toast-close.warning.svelte-solcu7{color:var(--color-yellow-500)}.toast-close.info.svelte-solcu7{color:var(--color-grey-700)}.dark .toast-close.info.svelte-solcu7{color:var(--color-grey-500)}.toast-text.svelte-solcu7{font-size:var(--text-lg)}.toast-text.error.svelte-solcu7{color:var(--color-red-700)}.dark .toast-text.error.svelte-solcu7{color:var(--color-red-50)}.toast-text.warning.svelte-solcu7{color:var(--color-yellow-700)}.dark .toast-text.warning.svelte-solcu7{color:var(--color-yellow-50)}.toast-text.info.svelte-solcu7{color:var(--color-grey-700)}.dark .toast-text.info.svelte-solcu7{color:var(--color-grey-50)}.toast-details.svelte-solcu7{margin:var(--size-3) var(--size-3) var(--size-3) 0;width:100%}.toast-icon.svelte-solcu7{display:flex;position:absolute;position:relative;flex-shrink:0;justify-content:center;align-items:center;margin:var(--size-2);border-radius:var(--radius-full);padding:var(--size-1);padding-left:calc(var(--size-1) - 1px);width:35px;height:35px}.toast-icon.error.svelte-solcu7{color:var(--color-red-700)}.dark .toast-icon.error.svelte-solcu7{color:var(--color-red-500)}.toast-icon.warning.svelte-solcu7{color:var(--color-yellow-700)}.dark .toast-icon.warning.svelte-solcu7{color:var(--color-yellow-500)}.toast-icon.info.svelte-solcu7{color:var(--color-grey-700)}.dark .toast-icon.info.svelte-solcu7{color:var(--color-grey-500)}@keyframes svelte-solcu7-countdown{0%{transform:scaleX(1)}to{transform:scaleX(0)}}.timer.svelte-solcu7{position:absolute;bottom:0;left:0;transform-origin:0 0;animation:svelte-solcu7-countdown 10s linear forwards;width:100%;height:var(--size-1)}.timer.error.svelte-solcu7{background:var(--color-red-700)}.dark .timer.error.svelte-solcu7{background:var(--color-red-500)}.timer.warning.svelte-solcu7{background:var(--color-yellow-700)}.dark .timer.warning.svelte-solcu7{background:var(--color-yellow-500)}.timer.info.svelte-solcu7{background:var(--color-grey-700)}.dark .timer.info.svelte-solcu7{background:var(--color-grey-500)}.toast-wrap.svelte-gatr8h{display:flex;position:fixed;top:var(--size-4);right:var(--size-4);flex-direction:column;align-items:end;gap:var(--size-2);z-index:var(--layer-top);width:calc(100% - var(--size-8))}@media (--screen-sm){.toast-wrap.svelte-gatr8h{width:calc(var(--size-96) + var(--size-10))}}img.svelte-1k8xp4f{max-width:100%;max-height:100%;border-radius:var(--radius-lg);max-width:none}.container.selected.svelte-1iqucjz{border-color:var(--border-color-accent)}.container.table.svelte-1iqucjz{margin:0 auto;border:2px solid var(--border-color-primary);border-radius:var(--radius-lg);width:var(--size-20);height:var(--size-20);object-fit:cover}.container.gallery.svelte-1iqucjz{border:2px solid var(--border-color-primary);height:var(--size-20);max-height:var(--size-20);object-fit:cover}
|
src/backend/gradio_blurhashimage/templates/example/index.js
ADDED
@@ -0,0 +1,264 @@
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|
1 |
+
const { setContext: te, getContext: v } = window.__gradio__svelte__internal, y = "WORKER_PROXY_CONTEXT_KEY";
|
2 |
+
function k() {
|
3 |
+
return v(y);
|
4 |
+
}
|
5 |
+
function w(l) {
|
6 |
+
return l.host === window.location.host || l.host === "localhost:7860" || l.host === "127.0.0.1:7860" || // Ref: https://github.com/gradio-app/gradio/blob/v3.32.0/js/app/src/Index.svelte#L194
|
7 |
+
l.host === "lite.local";
|
8 |
+
}
|
9 |
+
async function f(l) {
|
10 |
+
if (l == null)
|
11 |
+
return l;
|
12 |
+
const e = new URL(l);
|
13 |
+
if (!w(e) || e.protocol !== "http:" && e.protocol !== "https:")
|
14 |
+
return l;
|
15 |
+
const o = k();
|
16 |
+
if (o == null)
|
17 |
+
return l;
|
18 |
+
const n = e.pathname;
|
19 |
+
return o.httpRequest({
|
20 |
+
method: "GET",
|
21 |
+
path: n,
|
22 |
+
headers: {},
|
23 |
+
query_string: ""
|
24 |
+
}).then((t) => {
|
25 |
+
if (t.status !== 200)
|
26 |
+
throw new Error(`Failed to get file ${n} from the Wasm worker.`);
|
27 |
+
const s = new Blob([t.body], {
|
28 |
+
type: t.headers["Content-Type"]
|
29 |
+
});
|
30 |
+
return URL.createObjectURL(s);
|
31 |
+
});
|
32 |
+
}
|
33 |
+
const {
|
34 |
+
SvelteComponent: C,
|
35 |
+
append: E,
|
36 |
+
assign: c,
|
37 |
+
compute_rest_props: d,
|
38 |
+
detach: u,
|
39 |
+
element: b,
|
40 |
+
empty: R,
|
41 |
+
exclude_internal_props: q,
|
42 |
+
get_spread_update: O,
|
43 |
+
handle_promise: g,
|
44 |
+
init: T,
|
45 |
+
insert: m,
|
46 |
+
noop: i,
|
47 |
+
safe_not_equal: P,
|
48 |
+
set_attributes: h,
|
49 |
+
set_data: U,
|
50 |
+
set_style: W,
|
51 |
+
src_url_equal: K,
|
52 |
+
text: X,
|
53 |
+
toggle_class: p,
|
54 |
+
update_await_block_branch: Y
|
55 |
+
} = window.__gradio__svelte__internal;
|
56 |
+
function L(l) {
|
57 |
+
let e, o = (
|
58 |
+
/*error*/
|
59 |
+
l[3].message + ""
|
60 |
+
), n;
|
61 |
+
return {
|
62 |
+
c() {
|
63 |
+
e = b("p"), n = X(o), W(e, "color", "red");
|
64 |
+
},
|
65 |
+
m(t, s) {
|
66 |
+
m(t, e, s), E(e, n);
|
67 |
+
},
|
68 |
+
p(t, s) {
|
69 |
+
s & /*src*/
|
70 |
+
1 && o !== (o = /*error*/
|
71 |
+
t[3].message + "") && U(n, o);
|
72 |
+
},
|
73 |
+
d(t) {
|
74 |
+
t && u(e);
|
75 |
+
}
|
76 |
+
};
|
77 |
+
}
|
78 |
+
function N(l) {
|
79 |
+
let e, o, n = [
|
80 |
+
{
|
81 |
+
src: o = /*resolved_src*/
|
82 |
+
l[2]
|
83 |
+
},
|
84 |
+
/*$$restProps*/
|
85 |
+
l[1]
|
86 |
+
], t = {};
|
87 |
+
for (let s = 0; s < n.length; s += 1)
|
88 |
+
t = c(t, n[s]);
|
89 |
+
return {
|
90 |
+
c() {
|
91 |
+
e = b("img"), h(e, t), p(e, "svelte-1k8xp4f", !0);
|
92 |
+
},
|
93 |
+
m(s, r) {
|
94 |
+
m(s, e, r);
|
95 |
+
},
|
96 |
+
p(s, r) {
|
97 |
+
h(e, t = O(n, [
|
98 |
+
r & /*src*/
|
99 |
+
1 && !K(e.src, o = /*resolved_src*/
|
100 |
+
s[2]) && { src: o },
|
101 |
+
r & /*$$restProps*/
|
102 |
+
2 && /*$$restProps*/
|
103 |
+
s[1]
|
104 |
+
])), p(e, "svelte-1k8xp4f", !0);
|
105 |
+
},
|
106 |
+
d(s) {
|
107 |
+
s && u(e);
|
108 |
+
}
|
109 |
+
};
|
110 |
+
}
|
111 |
+
function S(l) {
|
112 |
+
return { c: i, m: i, p: i, d: i };
|
113 |
+
}
|
114 |
+
function j(l) {
|
115 |
+
let e, o, n = {
|
116 |
+
ctx: l,
|
117 |
+
current: null,
|
118 |
+
token: null,
|
119 |
+
hasCatch: !0,
|
120 |
+
pending: S,
|
121 |
+
then: N,
|
122 |
+
catch: L,
|
123 |
+
value: 2,
|
124 |
+
error: 3
|
125 |
+
};
|
126 |
+
return g(o = f(
|
127 |
+
/*src*/
|
128 |
+
l[0]
|
129 |
+
), n), {
|
130 |
+
c() {
|
131 |
+
e = R(), n.block.c();
|
132 |
+
},
|
133 |
+
m(t, s) {
|
134 |
+
m(t, e, s), n.block.m(t, n.anchor = s), n.mount = () => e.parentNode, n.anchor = e;
|
135 |
+
},
|
136 |
+
p(t, [s]) {
|
137 |
+
l = t, n.ctx = l, s & /*src*/
|
138 |
+
1 && o !== (o = f(
|
139 |
+
/*src*/
|
140 |
+
l[0]
|
141 |
+
)) && g(o, n) || Y(n, l, s);
|
142 |
+
},
|
143 |
+
i,
|
144 |
+
o: i,
|
145 |
+
d(t) {
|
146 |
+
t && u(e), n.block.d(t), n.token = null, n = null;
|
147 |
+
}
|
148 |
+
};
|
149 |
+
}
|
150 |
+
function I(l, e, o) {
|
151 |
+
const n = ["src"];
|
152 |
+
let t = d(e, n), { src: s = void 0 } = e;
|
153 |
+
return l.$$set = (r) => {
|
154 |
+
e = c(c({}, e), q(r)), o(1, t = d(e, n)), "src" in r && o(0, s = r.src);
|
155 |
+
}, [s, t];
|
156 |
+
}
|
157 |
+
class x extends C {
|
158 |
+
constructor(e) {
|
159 |
+
super(), T(this, e, I, j, P, { src: 0 });
|
160 |
+
}
|
161 |
+
}
|
162 |
+
const {
|
163 |
+
SvelteComponent: z,
|
164 |
+
attr: B,
|
165 |
+
create_component: F,
|
166 |
+
destroy_component: G,
|
167 |
+
detach: A,
|
168 |
+
element: D,
|
169 |
+
init: H,
|
170 |
+
insert: J,
|
171 |
+
mount_component: M,
|
172 |
+
safe_not_equal: Q,
|
173 |
+
toggle_class: _,
|
174 |
+
transition_in: V,
|
175 |
+
transition_out: Z
|
176 |
+
} = window.__gradio__svelte__internal;
|
177 |
+
function $(l) {
|
178 |
+
let e, o, n;
|
179 |
+
return o = new x({
|
180 |
+
props: {
|
181 |
+
src: (
|
182 |
+
/*samples_dir*/
|
183 |
+
l[1] + /*value*/
|
184 |
+
l[0]
|
185 |
+
),
|
186 |
+
alt: ""
|
187 |
+
}
|
188 |
+
}), {
|
189 |
+
c() {
|
190 |
+
e = D("div"), F(o.$$.fragment), B(e, "class", "container svelte-1iqucjz"), _(
|
191 |
+
e,
|
192 |
+
"table",
|
193 |
+
/*type*/
|
194 |
+
l[2] === "table"
|
195 |
+
), _(
|
196 |
+
e,
|
197 |
+
"gallery",
|
198 |
+
/*type*/
|
199 |
+
l[2] === "gallery"
|
200 |
+
), _(
|
201 |
+
e,
|
202 |
+
"selected",
|
203 |
+
/*selected*/
|
204 |
+
l[3]
|
205 |
+
);
|
206 |
+
},
|
207 |
+
m(t, s) {
|
208 |
+
J(t, e, s), M(o, e, null), n = !0;
|
209 |
+
},
|
210 |
+
p(t, [s]) {
|
211 |
+
const r = {};
|
212 |
+
s & /*samples_dir, value*/
|
213 |
+
3 && (r.src = /*samples_dir*/
|
214 |
+
t[1] + /*value*/
|
215 |
+
t[0]), o.$set(r), (!n || s & /*type*/
|
216 |
+
4) && _(
|
217 |
+
e,
|
218 |
+
"table",
|
219 |
+
/*type*/
|
220 |
+
t[2] === "table"
|
221 |
+
), (!n || s & /*type*/
|
222 |
+
4) && _(
|
223 |
+
e,
|
224 |
+
"gallery",
|
225 |
+
/*type*/
|
226 |
+
t[2] === "gallery"
|
227 |
+
), (!n || s & /*selected*/
|
228 |
+
8) && _(
|
229 |
+
e,
|
230 |
+
"selected",
|
231 |
+
/*selected*/
|
232 |
+
t[3]
|
233 |
+
);
|
234 |
+
},
|
235 |
+
i(t) {
|
236 |
+
n || (V(o.$$.fragment, t), n = !0);
|
237 |
+
},
|
238 |
+
o(t) {
|
239 |
+
Z(o.$$.fragment, t), n = !1;
|
240 |
+
},
|
241 |
+
d(t) {
|
242 |
+
t && A(e), G(o);
|
243 |
+
}
|
244 |
+
};
|
245 |
+
}
|
246 |
+
function ee(l, e, o) {
|
247 |
+
let { value: n } = e, { samples_dir: t } = e, { type: s } = e, { selected: r = !1 } = e;
|
248 |
+
return l.$$set = (a) => {
|
249 |
+
"value" in a && o(0, n = a.value), "samples_dir" in a && o(1, t = a.samples_dir), "type" in a && o(2, s = a.type), "selected" in a && o(3, r = a.selected);
|
250 |
+
}, [n, t, s, r];
|
251 |
+
}
|
252 |
+
class ne extends z {
|
253 |
+
constructor(e) {
|
254 |
+
super(), H(this, e, ee, $, Q, {
|
255 |
+
value: 0,
|
256 |
+
samples_dir: 1,
|
257 |
+
type: 2,
|
258 |
+
selected: 3
|
259 |
+
});
|
260 |
+
}
|
261 |
+
}
|
262 |
+
export {
|
263 |
+
ne as default
|
264 |
+
};
|
src/backend/gradio_blurhashimage/templates/example/style.css
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
img.svelte-1k8xp4f{max-width:100%;max-height:100%;border-radius:var(--radius-lg);max-width:none}.container.selected.svelte-1iqucjz{border-color:var(--border-color-accent)}.container.table.svelte-1iqucjz{margin:0 auto;border:2px solid var(--border-color-primary);border-radius:var(--radius-lg);width:var(--size-20);height:var(--size-20);object-fit:cover}.container.gallery.svelte-1iqucjz{border:2px solid var(--border-color-primary);height:var(--size-20);max-height:var(--size-20);object-fit:cover}
|
src/demo/__init__.py
ADDED
File without changes
|
src/demo/app.py
ADDED
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
|
2 |
+
import gradio as gr
|
3 |
+
from gradio_blurhashimage import BlurhashImage
|
4 |
+
|
5 |
+
|
6 |
+
demo = gr.Interface(
|
7 |
+
lambda x:x,
|
8 |
+
gr.Image(),
|
9 |
+
BlurhashImage(),
|
10 |
+
)
|
11 |
+
demo.launch()
|
src/frontend/Example.svelte
ADDED
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
<script lang="ts">
|
2 |
+
import Image from "./shared/Image.svelte";
|
3 |
+
|
4 |
+
export let value: string;
|
5 |
+
export let samples_dir: string;
|
6 |
+
export let type: "gallery" | "table";
|
7 |
+
export let selected = false;
|
8 |
+
</script>
|
9 |
+
|
10 |
+
<div
|
11 |
+
class="container"
|
12 |
+
class:table={type === "table"}
|
13 |
+
class:gallery={type === "gallery"}
|
14 |
+
class:selected
|
15 |
+
>
|
16 |
+
<Image src={samples_dir + value} alt="" />
|
17 |
+
</div>
|
18 |
+
|
19 |
+
<style>
|
20 |
+
.container.selected {
|
21 |
+
border-color: var(--border-color-accent);
|
22 |
+
}
|
23 |
+
|
24 |
+
.container.table {
|
25 |
+
margin: 0 auto;
|
26 |
+
border: 2px solid var(--border-color-primary);
|
27 |
+
border-radius: var(--radius-lg);
|
28 |
+
width: var(--size-20);
|
29 |
+
height: var(--size-20);
|
30 |
+
object-fit: cover;
|
31 |
+
}
|
32 |
+
|
33 |
+
.container.gallery {
|
34 |
+
border: 2px solid var(--border-color-primary);
|
35 |
+
height: var(--size-20);
|
36 |
+
max-height: var(--size-20);
|
37 |
+
object-fit: cover;
|
38 |
+
}
|
39 |
+
</style>
|
src/frontend/Index.svelte
ADDED
@@ -0,0 +1,85 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
<svelte:options accessors={true} />
|
2 |
+
|
3 |
+
<script context="module" lang="ts">
|
4 |
+
export { default as BaseStaticImage } from "./shared/ImagePreview.svelte";
|
5 |
+
export { default as BaseExample } from "./Example.svelte";
|
6 |
+
</script>
|
7 |
+
|
8 |
+
<script lang="ts">
|
9 |
+
import type { Gradio, SelectData } from "@gradio/utils";
|
10 |
+
import StaticImage from "./shared/ImagePreview.svelte";
|
11 |
+
|
12 |
+
import { Block } from "@gradio/atoms";
|
13 |
+
import { StatusTracker } from "@gradio/statustracker";
|
14 |
+
import type { BlurhashFileData } from "./shared/data";
|
15 |
+
import type { LoadingStatus } from "@gradio/statustracker";
|
16 |
+
|
17 |
+
export let elem_id = "";
|
18 |
+
export let elem_classes: string[] = [];
|
19 |
+
export let visible = true;
|
20 |
+
export let value: null | BlurhashFileData = null;
|
21 |
+
export let label: string;
|
22 |
+
export let show_label: boolean;
|
23 |
+
export let show_download_button: boolean;
|
24 |
+
export let root: string;
|
25 |
+
|
26 |
+
export let height: number | undefined;
|
27 |
+
export let width: number | undefined;
|
28 |
+
|
29 |
+
export let container = true;
|
30 |
+
export let scale: number | null = null;
|
31 |
+
export let min_width: number | undefined = undefined;
|
32 |
+
export let loading_status: LoadingStatus;
|
33 |
+
export let show_share_button = false;
|
34 |
+
|
35 |
+
export let gradio: Gradio<{
|
36 |
+
change: never;
|
37 |
+
error: string;
|
38 |
+
edit: never;
|
39 |
+
stream: never;
|
40 |
+
drag: never;
|
41 |
+
upload: never;
|
42 |
+
clear: never;
|
43 |
+
select: SelectData;
|
44 |
+
share: ShareData;
|
45 |
+
}>;
|
46 |
+
|
47 |
+
$: console.log(value);
|
48 |
+
$: value?.image?.url && gradio.dispatch("change");
|
49 |
+
let dragging: boolean;
|
50 |
+
|
51 |
+
$: value = !value ? null : value;
|
52 |
+
</script>
|
53 |
+
|
54 |
+
<Block
|
55 |
+
{visible}
|
56 |
+
variant={"solid"}
|
57 |
+
border_mode={dragging ? "focus" : "base"}
|
58 |
+
padding={false}
|
59 |
+
{elem_id}
|
60 |
+
{elem_classes}
|
61 |
+
height={height || undefined}
|
62 |
+
{width}
|
63 |
+
allow_overflow={false}
|
64 |
+
{container}
|
65 |
+
{scale}
|
66 |
+
{min_width}
|
67 |
+
>
|
68 |
+
<StatusTracker
|
69 |
+
autoscroll={gradio.autoscroll}
|
70 |
+
i18n={gradio.i18n}
|
71 |
+
{...loading_status}
|
72 |
+
/>
|
73 |
+
<StaticImage
|
74 |
+
on:select={({ detail }) => gradio.dispatch("select", detail)}
|
75 |
+
on:share={({ detail }) => gradio.dispatch("share", detail)}
|
76 |
+
on:error={({ detail }) => gradio.dispatch("error", detail)}
|
77 |
+
{root}
|
78 |
+
{value}
|
79 |
+
{label}
|
80 |
+
{show_label}
|
81 |
+
{show_download_button}
|
82 |
+
{show_share_button}
|
83 |
+
i18n={gradio.i18n}
|
84 |
+
/>
|
85 |
+
</Block>
|
src/frontend/package-lock.json
ADDED
@@ -0,0 +1,1781 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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"timers-ext": {
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"version": "0.1.7",
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"resolved": "https://registry.npmjs.org/timers-ext/-/timers-ext-0.1.7.tgz",
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"requires": {
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"es5-ext": "~0.10.46",
|
1752 |
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"next-tick": "1"
|
1753 |
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}
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1754 |
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},
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1755 |
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"tiny-glob": {
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1756 |
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"version": "0.2.9",
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1757 |
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"resolved": "https://registry.npmjs.org/tiny-glob/-/tiny-glob-0.2.9.tgz",
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1758 |
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"requires": {
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1760 |
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"globalyzer": "0.1.0",
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1761 |
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"globrex": "^0.1.2"
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1762 |
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}
|
1763 |
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1764 |
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"tslib": {
|
1765 |
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"version": "2.6.2",
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1766 |
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"resolved": "https://registry.npmjs.org/tslib/-/tslib-2.6.2.tgz",
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|
1768 |
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1769 |
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"type": {
|
1770 |
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"version": "1.2.0",
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1771 |
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"resolved": "https://registry.npmjs.org/type/-/type-1.2.0.tgz",
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"integrity": "sha512-+5nt5AAniqsCnu2cEQQdpzCAh33kVx8n0VoFidKpB1dVVLAN/F+bgVOqOJqOnEnrhp222clB5p3vUlD+1QAnfg=="
|
1773 |
+
},
|
1774 |
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"ws": {
|
1775 |
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"version": "8.14.2",
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1776 |
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"resolved": "https://registry.npmjs.org/ws/-/ws-8.14.2.tgz",
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1777 |
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"integrity": "sha512-wEBG1ftX4jcglPxgFCMJmZ2PLtSbJ2Peg6TmpJFTbe9GZYOQCDPdMYu/Tm0/bGZkw8paZnJY45J4K2PZrLYq8g==",
|
1778 |
+
"requires": {}
|
1779 |
+
}
|
1780 |
+
}
|
1781 |
+
}
|
src/frontend/package.json
ADDED
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"name": "gradio_blurhashimage",
|
3 |
+
"version": "0.3.3",
|
4 |
+
"description": "Gradio UI packages",
|
5 |
+
"type": "module",
|
6 |
+
"author": "",
|
7 |
+
"license": "ISC",
|
8 |
+
"private": false,
|
9 |
+
"dependencies": {
|
10 |
+
"@gradio/atoms": "0.2.1",
|
11 |
+
"@gradio/client": "0.7.2",
|
12 |
+
"@gradio/icons": "0.2.0",
|
13 |
+
"@gradio/statustracker": "0.3.1",
|
14 |
+
"@gradio/upload": "0.3.3",
|
15 |
+
"@gradio/utils": "0.2.0",
|
16 |
+
"@gradio/wasm": "0.2.0",
|
17 |
+
"blurhash": "^1.1.5",
|
18 |
+
"cropperjs": "^1.5.12",
|
19 |
+
"lazy-brush": "^1.0.1",
|
20 |
+
"resize-observer-polyfill": "^1.5.1",
|
21 |
+
"svelte-blurhash": "^1.2.1"
|
22 |
+
},
|
23 |
+
"main_changeset": true,
|
24 |
+
"main": "./Index.svelte",
|
25 |
+
"exports": {
|
26 |
+
".": "./Index.svelte",
|
27 |
+
"./example": "./Example.svelte",
|
28 |
+
"./package.json": "./package.json"
|
29 |
+
}
|
30 |
+
}
|
src/frontend/shared/ClearImage.svelte
ADDED
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
<script lang="ts">
|
2 |
+
import { createEventDispatcher } from "svelte";
|
3 |
+
import { IconButton } from "@gradio/atoms";
|
4 |
+
import { Clear } from "@gradio/icons";
|
5 |
+
|
6 |
+
const dispatch = createEventDispatcher();
|
7 |
+
</script>
|
8 |
+
|
9 |
+
<div>
|
10 |
+
<IconButton
|
11 |
+
Icon={Clear}
|
12 |
+
label="Remove Image"
|
13 |
+
on:click={(event) => {
|
14 |
+
dispatch("remove_image");
|
15 |
+
event.stopPropagation();
|
16 |
+
}}
|
17 |
+
/>
|
18 |
+
</div>
|
19 |
+
|
20 |
+
<style>
|
21 |
+
div {
|
22 |
+
display: flex;
|
23 |
+
position: absolute;
|
24 |
+
top: var(--size-2);
|
25 |
+
right: var(--size-2);
|
26 |
+
justify-content: flex-end;
|
27 |
+
gap: var(--spacing-sm);
|
28 |
+
z-index: var(--layer-5);
|
29 |
+
}
|
30 |
+
</style>
|
src/frontend/shared/Image.svelte
ADDED
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
<script lang="ts">
|
2 |
+
import type { HTMLImgAttributes } from "svelte/elements";
|
3 |
+
type $$Props = HTMLImgAttributes;
|
4 |
+
|
5 |
+
import { resolve_wasm_src } from "@gradio/wasm/svelte";
|
6 |
+
|
7 |
+
export let src: HTMLImgAttributes["src"] = undefined;
|
8 |
+
</script>
|
9 |
+
|
10 |
+
{#await resolve_wasm_src(src) then resolved_src}
|
11 |
+
<!-- svelte-ignore a11y-missing-attribute -->
|
12 |
+
<img src={resolved_src} {...$$restProps} />
|
13 |
+
{:catch error}
|
14 |
+
<p style="color: red;">{error.message}</p>
|
15 |
+
{/await}
|
16 |
+
|
17 |
+
<style>
|
18 |
+
img {
|
19 |
+
max-width: 100%;
|
20 |
+
max-height: 100%;
|
21 |
+
border-radius: var(--radius-lg);
|
22 |
+
max-width: none;
|
23 |
+
}
|
24 |
+
</style>
|
src/frontend/shared/ImagePreview.svelte
ADDED
@@ -0,0 +1,103 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
<script lang="ts">
|
2 |
+
import { createEventDispatcher } from "svelte";
|
3 |
+
import type { SelectData } from "@gradio/utils";
|
4 |
+
import { uploadToHuggingFace } from "@gradio/utils";
|
5 |
+
import { BlockLabel, Empty, IconButton, ShareButton } from "@gradio/atoms";
|
6 |
+
import { Download } from "@gradio/icons";
|
7 |
+
import { get_coordinates_of_clicked_image } from "./utils";
|
8 |
+
import { normalise_blurhash_file, BlurhashFileData } from "./data";
|
9 |
+
import { BlurhashImage } from 'svelte-blurhash';
|
10 |
+
|
11 |
+
import { Image } from "@gradio/icons";
|
12 |
+
import type { I18nFormatter } from "@gradio/utils";
|
13 |
+
|
14 |
+
export let value: null | BlurhashFileData;
|
15 |
+
export let label: string | undefined = undefined;
|
16 |
+
export let show_label: boolean;
|
17 |
+
export let show_download_button = true;
|
18 |
+
export let show_share_button = false;
|
19 |
+
export let root: string;
|
20 |
+
export let i18n: I18nFormatter;
|
21 |
+
|
22 |
+
const dispatch = createEventDispatcher<{
|
23 |
+
change: string;
|
24 |
+
select: SelectData;
|
25 |
+
}>();
|
26 |
+
|
27 |
+
$: value = normalise_blurhash_file(value, root, null);
|
28 |
+
|
29 |
+
const handle_click = (evt: MouseEvent): void => {
|
30 |
+
let coordinates = get_coordinates_of_clicked_image(evt);
|
31 |
+
if (coordinates) {
|
32 |
+
dispatch("select", { index: coordinates, value: null });
|
33 |
+
}
|
34 |
+
};
|
35 |
+
</script>
|
36 |
+
|
37 |
+
<BlockLabel {show_label} Icon={Image} label={label || i18n("image.image")} />
|
38 |
+
{#if value === null || value.image === null || !value.image.url}
|
39 |
+
<Empty unpadded_box={true} size="large"><Image /></Empty>
|
40 |
+
{:else}
|
41 |
+
<div class="icon-buttons">
|
42 |
+
{#if show_download_button}
|
43 |
+
<a
|
44 |
+
href={value.image.url}
|
45 |
+
target={window.__is_colab__ ? "_blank" : null}
|
46 |
+
download={"image"}
|
47 |
+
>
|
48 |
+
<IconButton Icon={Download} label={i18n("common.download")} />
|
49 |
+
</a>
|
50 |
+
{/if}
|
51 |
+
{#if show_share_button}
|
52 |
+
<ShareButton
|
53 |
+
{i18n}
|
54 |
+
on:share
|
55 |
+
on:error
|
56 |
+
formatter={async (value) => {
|
57 |
+
if (!value) return "";
|
58 |
+
let url = await uploadToHuggingFace(value, "base64");
|
59 |
+
return `<img src="${url}" />`;
|
60 |
+
}}
|
61 |
+
{value}
|
62 |
+
/>
|
63 |
+
{/if}
|
64 |
+
|
65 |
+
</div>
|
66 |
+
<button on:click={handle_click} class="selectable">
|
67 |
+
<div class="image-wrapper">
|
68 |
+
<BlurhashImage
|
69 |
+
src={value.image.url}
|
70 |
+
hash={value.blurhash}
|
71 |
+
width={value.width}
|
72 |
+
height={value.height}
|
73 |
+
/>
|
74 |
+
</div>
|
75 |
+
</button>
|
76 |
+
|
77 |
+
{/if}
|
78 |
+
|
79 |
+
<style>
|
80 |
+
.image-wrapper {
|
81 |
+
max-width: 100%;
|
82 |
+
object-fit: cover;
|
83 |
+
}
|
84 |
+
|
85 |
+
button {
|
86 |
+
width: var(--size-full);
|
87 |
+
height: var(--size-full);
|
88 |
+
object-fit: contain;
|
89 |
+
display: block;
|
90 |
+
}
|
91 |
+
|
92 |
+
.selectable {
|
93 |
+
cursor: crosshair;
|
94 |
+
}
|
95 |
+
|
96 |
+
.icon-buttons {
|
97 |
+
display: flex;
|
98 |
+
position: absolute;
|
99 |
+
top: 6px;
|
100 |
+
right: 6px;
|
101 |
+
gap: var(--size-1);
|
102 |
+
}
|
103 |
+
</style>
|
src/frontend/shared/data.ts
ADDED
@@ -0,0 +1,61 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import { normalise_file, FileData } from "@gradio/client";
|
2 |
+
|
3 |
+
export class BlurhashFileData {
|
4 |
+
image?: FileData;
|
5 |
+
blurhash?: string;
|
6 |
+
width?: number;
|
7 |
+
height?: number;
|
8 |
+
constructor({ image, blurhash, width, height }: { image?: FileData; blurhash?: string; width?: number; height?: number }) {
|
9 |
+
this.image = image ? new FileData(image) : undefined;
|
10 |
+
this.blurhash = blurhash;
|
11 |
+
this.width = width;
|
12 |
+
this.height = height;
|
13 |
+
}
|
14 |
+
}
|
15 |
+
|
16 |
+
export function normalise_blurhash_file(
|
17 |
+
file: BlurhashFileData | null,
|
18 |
+
server_url: string,
|
19 |
+
proxy_url: string | null
|
20 |
+
): BlurhashFileData | null;
|
21 |
+
|
22 |
+
export function normalise_blurhash_file(
|
23 |
+
file: BlurhashFileData[] | null,
|
24 |
+
server_url: string,
|
25 |
+
proxy_url: string | null
|
26 |
+
): BlurhashFileData[] | null;
|
27 |
+
|
28 |
+
export function normalise_blurhash_file(
|
29 |
+
file: BlurhashFileData[] | BlurhashFileData | null,
|
30 |
+
server_url: string, // root: string,
|
31 |
+
proxy_url: string | null // root_url: string | null
|
32 |
+
): BlurhashFileData[] | BlurhashFileData | null;
|
33 |
+
|
34 |
+
export function normalise_blurhash_file(
|
35 |
+
blurhash_file: BlurhashFileData[] | BlurhashFileData | null,
|
36 |
+
server_url: string, // root: string,
|
37 |
+
proxy_url: string | null // root_url: string | null
|
38 |
+
): BlurhashFileData[] | BlurhashFileData | null {
|
39 |
+
if (blurhash_file == null) {
|
40 |
+
return null;
|
41 |
+
}
|
42 |
+
|
43 |
+
if (Array.isArray(blurhash_file)) {
|
44 |
+
const normalized_files: (BlurhashFileData | null)[] = [];
|
45 |
+
|
46 |
+
for (const x of blurhash_file) {
|
47 |
+
normalized_files.push(normalise_blurhash_file(x, server_url, proxy_url));
|
48 |
+
}
|
49 |
+
|
50 |
+
return normalized_files as BlurhashFileData[];
|
51 |
+
}
|
52 |
+
|
53 |
+
const file_data = blurhash_file.image ? normalise_file(blurhash_file.image, server_url, null) : null;
|
54 |
+
|
55 |
+
return new BlurhashFileData({
|
56 |
+
image: file_data ? file_data : undefined,
|
57 |
+
blurhash: blurhash_file.blurhash,
|
58 |
+
width: blurhash_file.width,
|
59 |
+
height: blurhash_file.height,
|
60 |
+
});
|
61 |
+
}
|
src/frontend/shared/utils.ts
ADDED
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
export const get_coordinates_of_clicked_image = (
|
2 |
+
evt: MouseEvent
|
3 |
+
): [number, number] | null => {
|
4 |
+
let image = evt.currentTarget as HTMLImageElement;
|
5 |
+
|
6 |
+
const imageRect = image.getBoundingClientRect();
|
7 |
+
const xScale = image.naturalWidth / imageRect.width;
|
8 |
+
const yScale = image.naturalHeight / imageRect.height;
|
9 |
+
if (xScale > yScale) {
|
10 |
+
const displayed_height = image.naturalHeight / xScale;
|
11 |
+
const y_offset = (imageRect.height - displayed_height) / 2;
|
12 |
+
var x = Math.round((evt.clientX - imageRect.left) * xScale);
|
13 |
+
var y = Math.round((evt.clientY - imageRect.top - y_offset) * xScale);
|
14 |
+
} else {
|
15 |
+
const displayed_width = image.naturalWidth / yScale;
|
16 |
+
const x_offset = (imageRect.width - displayed_width) / 2;
|
17 |
+
var x = Math.round((evt.clientX - imageRect.left - x_offset) * yScale);
|
18 |
+
var y = Math.round((evt.clientY - imageRect.top) * yScale);
|
19 |
+
}
|
20 |
+
if (x < 0 || x >= image.naturalWidth || y < 0 || y >= image.naturalHeight) {
|
21 |
+
return null;
|
22 |
+
}
|
23 |
+
return [x, y];
|
24 |
+
};
|
src/pyproject.toml
ADDED
@@ -0,0 +1,49 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
[build-system]
|
2 |
+
requires = [
|
3 |
+
"hatchling",
|
4 |
+
"hatch-requirements-txt",
|
5 |
+
"hatch-fancy-pypi-readme>=22.5.0",
|
6 |
+
]
|
7 |
+
build-backend = "hatchling.build"
|
8 |
+
|
9 |
+
[project]
|
10 |
+
name = "gradio_blurhashimage"
|
11 |
+
version = "0.0.1"
|
12 |
+
description = "Python library for easily interacting with trained machine learning models"
|
13 |
+
readme = "README.md"
|
14 |
+
license = "Apache-2.0"
|
15 |
+
requires-python = ">=3.8"
|
16 |
+
authors = [{ name = "Lucain Pouget", email = "[email protected]" }]
|
17 |
+
keywords = [
|
18 |
+
"machine learning",
|
19 |
+
"reproducibility",
|
20 |
+
"visualization",
|
21 |
+
"gradio",
|
22 |
+
"gradio custom component",
|
23 |
+
"gradio-template-Image"
|
24 |
+
]
|
25 |
+
# Add dependencies here
|
26 |
+
dependencies = ["gradio>=4.0,<5.0", "blurhash-python"]
|
27 |
+
classifiers = [
|
28 |
+
'Development Status :: 3 - Alpha',
|
29 |
+
'License :: OSI Approved :: Apache Software License',
|
30 |
+
'Operating System :: OS Independent',
|
31 |
+
'Programming Language :: Python :: 3',
|
32 |
+
'Programming Language :: Python :: 3 :: Only',
|
33 |
+
'Programming Language :: Python :: 3.8',
|
34 |
+
'Programming Language :: Python :: 3.9',
|
35 |
+
'Programming Language :: Python :: 3.10',
|
36 |
+
'Programming Language :: Python :: 3.11',
|
37 |
+
'Topic :: Scientific/Engineering',
|
38 |
+
'Topic :: Scientific/Engineering :: Artificial Intelligence',
|
39 |
+
'Topic :: Scientific/Engineering :: Visualization',
|
40 |
+
]
|
41 |
+
|
42 |
+
[project.optional-dependencies]
|
43 |
+
dev = ["build", "twine"]
|
44 |
+
|
45 |
+
[tool.hatch.build]
|
46 |
+
artifacts = ["/backend/gradio_blurhashimage/templates", "*.pyi", "backend/gradio_blurhashimage/templates"]
|
47 |
+
|
48 |
+
[tool.hatch.build.targets.wheel]
|
49 |
+
packages = ["/backend/gradio_blurhashimage"]
|
src/sample.png
ADDED
![]() |