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import gradio as gr
import os
import numpy as np
txt = "the quick brown fox"
num = 10
img = os.path.join(os.path.dirname(__file__), "files/cheetah1.jpg")
vid = os.path.join(os.path.dirname(__file__), "files/world.mp4")
audio = os.path.join(os.path.dirname(__file__), "files/cantina.wav")
csv = os.path.join(os.path.dirname(__file__), "files/time.csv")
model = os.path.join(os.path.dirname(__file__), "files/Bunny.obj")
dataframe = [[1, 2, 3, 4], [4, 5, 6, 7], [8, 9, 1, 2], [3, 4, 5, 6]]
with gr.Blocks() as demo:
gr.Markdown("# Dataset previews")
a = gr.Audio(visible=False)
gr.Dataset(
components=[a],
label="Audio",
samples=[
[audio],
[audio],
[audio],
[audio],
[audio],
[audio],
],
)
c = gr.Checkbox(visible=False)
gr.Dataset(
label="Checkbox",
components=[c],
samples=[[True], [True], [False], [True], [False], [False]],
)
c_2 = gr.CheckboxGroup(visible=False, choices=['a', 'b', 'c'])
gr.Dataset(
label="CheckboxGroup",
components=[c_2],
samples=[
[["a"]],
[["a", "b"]],
[["a", "b", "c"]],
[["b"]],
[["c"]],
[["a", "c"]],
],
)
c_3 = gr.ColorPicker(visible=False)
gr.Dataset(
label="ColorPicker",
components=[c_3],
samples=[
["#FFFFFF"],
["#000000"],
["#FFFFFF"],
["#000000"],
["#FFFFFF"],
["#000000"],
],
)
d = gr.DataFrame(visible=False)
gr.Dataset(
components=[d],
label="Dataframe",
samples=[
[np.zeros((3, 3)).tolist()],
[np.ones((2, 2)).tolist()],
[np.random.randint(0, 10, (3, 10)).tolist()],
[np.random.randint(0, 10, (10, 3)).tolist()],
[np.random.randint(0, 10, (10, 10)).tolist()],
],
)
d_2 = gr.Dropdown(visible=False, choices=["one", "two", "three"])
gr.Dataset(
components=[d_2],
label="Dropdown",
samples=[["one"], ["two"], ["three"], ["one"], ["two"], ["three"]],
)
f = gr.File(visible=False)
gr.Dataset(
components=[f],
label="File",
samples=[
[csv],
[csv],
[csv],
[csv],
[csv],
[csv],
],
)
h = gr.HTML(visible=False)
gr.Dataset(
components=[h],
label="HTML",
samples=[
["<h1>hi</h2>"],
["<h1>hi</h2>"],
["<h1>hi</h2>"],
["<h1>hi</h2>"],
["<h1>hi</h2>"],
["<h1>hi</h2>"],
],
)
i = gr.Image(visible=False)
gr.Dataset(
components=[i],
label="Image",
samples=[[img], [img], [img], [img], [img], [img]],
)
m = gr.Markdown(visible=False)
gr.Dataset(
components=[m],
label="Markdown",
samples=[
["# hi"],
["# hi"],
["# hi"],
["# hi"],
["# hi"],
["# hi"],
],
)
m_2 = gr.Model3D(visible=False)
gr.Dataset(
components=[m_2],
label="Model3D",
samples=[[model], [model], [model], [model], [model], [model]],
)
n = gr.Number(visible=False)
gr.Dataset(
label="Number",
components=[n],
samples=[[1], [1], [1], [1], [1], [1]],
)
r = gr.Radio(visible=False, choices=["one", "two", "three"])
gr.Dataset(
components=[r],
label="Radio",
samples=[["one"], ["two"], ["three"], ["one"], ["two"], ["three"]],
)
s = gr.Slider(visible=False)
gr.Dataset(
label="Slider",
components=[s],
samples=[[1], [1], [1], [1], [1], [1]],
)
t = gr.Textbox(visible=False)
gr.Dataset(
label="Textbox",
components=[t],
samples=[
["Some value"],
["Some value"],
["Some value"],
["Some value"],
["Some value"],
["Some value"],
],
)
v = gr.Video(visible=False)
gr.Dataset(
components=[v],
label="Video",
samples=[[vid], [vid], [vid], [vid], [vid], [vid]],
)
if __name__ == "__main__":
demo.launch()
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