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import gradio as gr
from PIL import Image
import numpy as np
def process_data(text, radio, checkbox, slider, file, image, video, audio, dataframe):
return (
text,
radio,
checkbox,
slider,
file.name if file else "No file uploaded",
image,
video,
audio,
dataframe
)
with gr.Blocks() as demo:
gr.Markdown('# Gradio 组件示例')
with gr.Row():
text_input = gr.Textbox(label="文本输入")
radio_input = gr.Radio(["选项1", "选项2", "选项3"], label="单选按钮")
checkbox_input = gr.CheckboxGroup(["选项A", "选项B", "选项C"], label="复选框")
slider_input = gr.Slider(minimum=0, maximum=100, label="滑块")
with gr.Row():
file_input = gr.File(label="文件上传")
image_input = gr.Image(label="图像上传")
video_input = gr.Video(label="视频上传")
audio_input = gr.Audio(label="音频上传")
with gr.Row():
dataframe_input = gr.Dataframe(label="数据表格")
submit_button = gr.Button("提交")
with gr.Row():
text_output = gr.Textbox(label="文本输出")
radio_output = gr.Textbox(label="单选按钮输出")
checkbox_output = gr.Textbox(label="单选按钮输出")
slider_output = gr.Textbox(label="单选按钮输出")
file_output = gr.Textbox(label="文件输出")
image_output = gr.Textbox(label="图像输出")
video_output = gr.Textbox(label="视频输出")
audio_output = gr.Textbox(label="音频输出")
dataframe_output = gr.Textbox(label="数据表格输出")
submit_button.click(
fn=process_data,
inputs=[text_input, radio_input, checkbox_input, slider_input, file_input, image_input, video_input,
audio_input, dataframe_input],
outputs=[text_output, radio_output, checkbox_output, slider_output, file_output, image_input, video_input,
audio_output, dataframe_output]
)
demo.launch(share=True) |