mirror of
https://github.com/gradio-app/gradio.git
synced 2025-02-05 11:10:03 +08:00
d6fbc32ed1
* add theme + theme atoms * audio * buttons * chatbot * forms * start file * complete file * fixup workbench * gallery * highlighted text * label * json * upload * 3d model * atoms * chart * md + html * image * plot + build * table * tabs * tooltip * upload * tweaks * tweaks + more tooling * tweaks to padding/ lineheight * app components _ start api docs * format, more api docs * finish api docs * interpretation * todos * tweaks + cleanup * tweaks + cleanup * revert range tweaks * fix notebooks * fix test * remove tw * cleanup + login * fix gitignore * fix types * run css script * fix progress + tweaks * update demos * add css build to static check workflow * tweak ci * fix tests * tweak markdown * tweak chatbot + file * fix tabs * tweak tabs * cleanup * fix api docs * fix example gallery * add gradient to toast * fix min height for interfaces * revert tab changes * update notebooks * fix generating status animation * fix weird table scrollbar that only appears on freddy's computer * format * fix dataset in gallery mode * cleanup * fix notebooks * tweaks * fix notebooks * change Co-authored-by: Ali Abid <aabid94@gmail.com>
181 lines
4.5 KiB
Python
Executable File
181 lines
4.5 KiB
Python
Executable File
import gradio as gr
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import os
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import numpy as np
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txt = "the quick brown fox"
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num = 10
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img = os.path.join(os.path.dirname(__file__), "files/cheetah1.jpg")
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vid = os.path.join(os.path.dirname(__file__), "files/world.mp4")
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audio = os.path.join(os.path.dirname(__file__), "files/cantina.wav")
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csv = os.path.join(os.path.dirname(__file__), "files/time.csv")
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model = os.path.join(os.path.dirname(__file__), "files/Bunny.obj")
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dataframe = [[1, 2, 3, 4], [4, 5, 6, 7], [8, 9, 1, 2], [3, 4, 5, 6]]
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with gr.Blocks() as demo:
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gr.Markdown("# Dataset previews")
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a = gr.Audio(visible=False)
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gr.Dataset(
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components=[a],
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label="Audio",
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samples=[
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[audio],
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[audio],
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[audio],
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[audio],
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[audio],
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[audio],
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],
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)
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c = gr.Checkbox(visible=False)
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gr.Dataset(
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label="Checkbox",
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components=[c],
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samples=[[True], [True], [False], [True], [False], [False]],
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)
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c_2 = gr.CheckboxGroup(visible=False)
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gr.Dataset(
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label="CheckboxGroup",
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components=[c_2],
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samples=[
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[[True, True, False]],
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[[True, True, False]],
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[[True, True, False]],
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[[True, True, False]],
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[[True, True, False]],
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[[True, True, False]],
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],
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)
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c_3 = gr.ColorPicker(visible=False)
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gr.Dataset(
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label="ColorPicker",
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components=[c_3],
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samples=[
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["#FFFFFF"],
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["#000000"],
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["#FFFFFF"],
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["#000000"],
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["#FFFFFF"],
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["#000000"],
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],
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)
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d = gr.DataFrame(visible=False)
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gr.Dataset(
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components=[d],
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label="Dataframe",
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samples=[
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[np.zeros((3, 3)).tolist()],
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[np.ones((2, 2)).tolist()],
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[np.random.randint(0, 10, (3, 10)).tolist()],
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[np.random.randint(0, 10, (10, 3)).tolist()],
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[np.random.randint(0, 10, (10, 10)).tolist()],
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],
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)
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d_2 = gr.Dropdown(visible=False, choices=["one", "two", "three"])
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gr.Dataset(
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components=[d_2],
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label="Dropdown",
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samples=[["one"], ["two"], ["three"], ["one"], ["two"], ["three"]],
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)
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f = gr.File(visible=False)
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gr.Dataset(
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components=[f],
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label="File",
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samples=[
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[csv],
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[csv],
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[csv],
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[csv],
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[csv],
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[csv],
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],
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)
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h = gr.HTML(visible=False)
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gr.Dataset(
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components=[h],
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label="HTML",
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samples=[
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["<h1>hi</h2>"],
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["<h1>hi</h2>"],
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["<h1>hi</h2>"],
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["<h1>hi</h2>"],
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["<h1>hi</h2>"],
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["<h1>hi</h2>"],
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],
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)
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i = gr.Image(visible=False)
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gr.Dataset(
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components=[i],
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label="Image",
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samples=[[img], [img], [img], [img], [img], [img]],
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)
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m = gr.Markdown(visible=False)
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gr.Dataset(
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components=[m],
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label="Markdown",
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samples=[
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["# hi"],
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["# hi"],
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["# hi"],
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["# hi"],
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["# hi"],
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["# hi"],
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],
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)
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m_2 = gr.Model3D(visible=False)
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gr.Dataset(
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components=[m_2],
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label="Model3D",
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samples=[[model], [model], [model], [model], [model], [model]],
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)
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n = gr.Number(visible=False)
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gr.Dataset(
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label="Number",
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components=[n],
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samples=[[1], [1], [1], [1], [1], [1]],
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)
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r = gr.Radio(visible=False, choices=["one", "two", "three"])
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gr.Dataset(
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components=[r],
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label="Radio",
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samples=[["one"], ["two"], ["three"], ["one"], ["two"], ["three"]],
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)
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s = gr.Slider(visible=False)
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gr.Dataset(
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label="Slider",
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components=[s],
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samples=[[1], [1], [1], [1], [1], [1]],
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)
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t = gr.Textbox(visible=False)
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gr.Dataset(
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label="Textbox",
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components=[t],
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samples=[
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["Some value"],
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["Some value"],
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["Some value"],
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["Some value"],
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["Some value"],
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["Some value"],
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],
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)
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t_2 = gr.TimeSeries(visible=False)
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gr.Dataset(
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components=[t_2],
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label="TimeSeries",
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samples=[[csv], [csv], [csv], [csv], [csv], [csv]],
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)
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v = gr.Video(visible=False)
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gr.Dataset(
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components=[v],
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label="Video",
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samples=[[vid], [vid], [vid], [vid], [vid], [vid]],
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)
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if __name__ == "__main__":
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demo.launch()
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