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* changes * changes * revert changes * changes * add changeset * notebooks script * changes * changes --------- Co-authored-by: Ali Abid <aliabid94@gmail.com> Co-authored-by: gradio-pr-bot <gradio-pr-bot@users.noreply.github.com> Co-authored-by: Ali Abdalla <ali.si3luwa@gmail.com>
19 lines
510 B
Python
19 lines
510 B
Python
import gradio as gr
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def identity(x, state):
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state += 1
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return x, state, state
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with gr.Blocks() as demo:
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slider = gr.Slider(0, 100, step=0.1)
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state = gr.State(value=0)
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with gr.Row():
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number = gr.Number(label="On release")
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number2 = gr.Number(label="Number of events fired")
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slider.release(identity, inputs=[slider, state], outputs=[number, state, number2], api_name="predict")
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if __name__ == "__main__":
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print("here")
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demo.launch()
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print(demo.server_port)
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