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https://github.com/gradio-app/gradio.git
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dbb7373dde
* changes * changes * more fix * more fix * add changeset * fix initial crop * fix format * fix format * fix formats * faster? * race condition * fixes + test * fix type? * notebooks * fix type * change demo * add changeset * fix type * fix type * fix type again * fix type again again * lint * lint again * fix test * tests * fix * tests * address comments * fix notebooks * fix tests * fix stories * fix webcam ui * cleanup * add changeset * fix input event * add format param + fix input event * fix test --------- Co-authored-by: gradio-pr-bot <gradio-pr-bot@users.noreply.github.com> Co-authored-by: Abubakar Abid <abubakar@huggingface.co>
32 lines
892 B
Python
32 lines
892 B
Python
import gradio as gr
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import time
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def sleep(im):
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time.sleep(5)
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return [im["background"], im["layers"][0], im["layers"][1], im["composite"]]
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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.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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)
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im_preview = gr.Image()
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n_upload = gr.Number(0, label="Number of upload events", step=1)
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n_change = gr.Number(0, label="Number of change events", step=1)
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n_input = gr.Number(0, label="Number of input events", step=1)
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im.upload(lambda x: x + 1, outputs=n_upload, inputs=n_upload)
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im.change(lambda x: x + 1, outputs=n_change, inputs=n_change)
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im.input(lambda x: x + 1, outputs=n_input, inputs=n_input)
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im.change(predict, outputs=im_preview, inputs=im, show_progress="hidden")
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if __name__ == "__main__":
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demo.launch()
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