mirror of
https://github.com/gradio-app/gradio.git
synced 2025-02-23 11:39:17 +08:00
074ce3805a
* stuff * fix layrs * add changeset * lint * ensure a default image can be passed when sources list is empty * fix loading status * add layers option to disable layer ui * types * fix tests * cleanup * cleanup * notebooks * fix composite * fix * fix trash icon * add changeset * fix layer bg * fix error display * notebooks --------- Co-authored-by: gradio-pr-bot <gradio-pr-bot@users.noreply.github.com>
63 lines
1.5 KiB
Python
63 lines
1.5 KiB
Python
import gradio as gr
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def predict(im):
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return im["composite"]
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with gr.Blocks() as demo:
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with gr.Group():
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with gr.Row():
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im = gr.ImageEditor(
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type="numpy",
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crop_size="1:1",
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elem_id="image_editor",
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)
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im_preview = gr.Image()
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with gr.Group():
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with gr.Row():
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n_upload = gr.Label(
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0,
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label="upload",
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elem_id="upload",
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)
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n_change = gr.Label(
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0,
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label="change",
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elem_id="change",
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)
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n_input = gr.Label(
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0,
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label="input",
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elem_id="input",
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)
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n_apply = gr.Label(
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0,
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label="apply",
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elem_id="apply",
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)
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clear_btn = gr.Button("Clear", elem_id="clear")
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im.upload(
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lambda x: int(x) + 1, outputs=n_upload, inputs=n_upload, show_progress="hidden"
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)
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im.change(
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lambda x: int(x) + 1, outputs=n_change, inputs=n_change, show_progress="hidden"
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)
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im.input(
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lambda x: int(x) + 1, outputs=n_input, inputs=n_input, show_progress="hidden"
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)
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im.apply(
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lambda x: int(x) + 1, outputs=n_apply, inputs=n_apply, show_progress="hidden"
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)
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im.change(predict, outputs=im_preview, inputs=im, show_progress="hidden")
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clear_btn.click(
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lambda: None,
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None,
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im,
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)
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if __name__ == "__main__":
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demo.launch()
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