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import gradio as gr | |
from datasets import load_dataset | |
# 加载数据集 | |
ds = load_dataset("OpenVideo/sample-200") | |
def show_sample(index): | |
# 从数据集中获取样本 | |
sample = ds['train'][index] | |
# 假设样本包含视频的URL和描述 | |
video_url = sample.get('video_url', 'No URL available') | |
description = sample.get('description', 'No description available') | |
return video_url, description | |
# 使用Gradio创建界面 | |
iface = gr.Interface( | |
fn=show_sample, | |
inputs=gr.inputs.Slider(0, len(ds['train']) - 1, step=1, default=0, label="Sample Index"), | |
outputs=[gr.outputs.Textbox(label="Video URL"), gr.outputs.Textbox(label="Description")] | |
) | |
# 运行界面 | |
iface.launch() | |