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Running
on
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Running
on
Zero
File size: 3,048 Bytes
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import gradio as gr
from gradio_modal import Modal
output_image_placehholder = gr.Image(label="Output image", height=400, show_share_button=True)
def show_warning(selection: gr.SelectData):
gr.Warning(f"Your choice is #{selection.index}, with image: {selection.value['image']['path']}!")
with gr.Blocks() as data_explorer:
with gr.Row(variant="panel"):
with gr.Column(scale=1):
output_dataframe_pipeline = gr.Textbox(label="Path", info="path s3 or path, hf-dataset.")
with gr.Group():
(
gr.Dropdown(
["ran", "swam", "ate", "slept"],
value=["swam", "slept"],
multiselect=True,
label="Activity",
info="Lorem ipsum dolor sit amet, consectetur adipiscing elit. Sed auctor, nisl eget ",
),
)
gr.Slider(2, 20, value=4, label="Count", info="Choose between 2 and 20")
gr.Slider(2, 20, value=4, label="Another", info="Choose between 2 and 20")
output_dataframe_pipeline = gr.Textbox(label="search", info="search image bla bla..")
gr.Button("Search", variant="primary", scale=0)
with gr.Column(scale=4):
with gr.Tabs():
with gr.Tab("Gallery"):
image_gallery = gr.Gallery(
[
"https://unsplash.com/photos/4oaDBgVROGo/download?ixid=M3wxMjA3fDB8MXxhbGx8NHx8fHx8fDJ8fDE3MTA0NjI1MzZ8&force=true&w=640",
"https://unsplash.com/photos/4oaDBgVROGo/download?ixid=M3wxMjA3fDB8MXxhbGx8NHx8fHx8fDJ8fDE3MTA0NjI1MzZ8&force=true&w=640",
"https://unsplash.com/photos/4oaDBgVROGo/download?ixid=M3wxMjA3fDB8MXxhbGx8NHx8fHx8fDJ8fDE3MTA0NjI1MzZ8&force=true&w=640",
"https://unsplash.com/photos/4oaDBgVROGo/download?ixid=M3wxMjA3fDB8MXxhbGx8NHx8fHx8fDJ8fDE3MTA0NjI1MzZ8&force=true&w=640",
]
* 10,
allow_preview=False,
label="Image Gallery",
preview=False,
columns=[7],
rows=[10],
show_download_button=True,
show_share_button=True,
)
with gr.Tab("Embeddings"):
pass
# TODO: add a embedding plot here
# user needs to login hf and get a datasets with embeddings
with Modal(visible=False) as gallery_modal:
with gr.Row():
with gr.Column(scale=0):
gr.Markdown("")
with gr.Column(scale=4):
gr.Image()
with gr.Column(scale=0):
gr.Markdown("")
image_gallery.select(fn=show_warning, inputs=None).then(lambda: Modal(visible=True), None, gallery_modal)
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