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35 lines
1.1 KiB
Python
35 lines
1.1 KiB
Python
import gradio as gr
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import pandas as pd
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import time
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def update_dataframe(df):
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df.iloc[:, :] = 1
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yield df, 1
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time.sleep(0.1)
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df.iloc[:, :] = 2
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yield df, 2
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def sum_values(df):
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return pd.to_numeric(df.values.flatten(), errors='coerce').sum() # type: ignore
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initial_df = pd.DataFrame(0, index=range(5), columns=range(5))
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with gr.Blocks() as demo:
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with gr.Row():
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button = gr.Button("Update DataFrame")
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number = gr.Number(value=0, label="Number")
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dataframe = gr.Dataframe(value=initial_df, label="Dataframe")
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button.click(fn=update_dataframe, inputs=dataframe, outputs=[dataframe, number])
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with gr.Row():
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change_events = gr.Number(label="Change events")
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input_events = gr.Number(label="Input events")
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sum_of_values = gr.Number(label="Sum of values")
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dataframe.change(lambda x:x+1, inputs=change_events, outputs=change_events)
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dataframe.input(lambda x:x+1, inputs=input_events, outputs=input_events)
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dataframe.change(sum_values, inputs=dataframe, outputs=sum_of_values)
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if __name__ == "__main__":
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demo.launch()
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