自学教程：python中gradio的输出展示组件实例代码

import gradio as grimport json# 示例 JSON 数据json_data = {    "name": "Gradio",    "type": "Library",    "languages": ["Python", "JavaScript"],    "description": "Gradio is an open-source library that allows developers to build interactive applications with machine learning and data science projects."}# 将 JSON 数据转换为字符串格式json_str = json.dumps(json_data, indent=4)# 定义一个函数，它接受没有输入，并返回 JSON 字符串def show_json():    return json_str# 使用 Gradio 创建界面，JSON 组件展示数据gr.Interface(fn=show_json,inputs=None, outputs='json').launch()

import gradio as grdef show_html():    return "<h1>Hello, Gradio!</h1><p>This is an HTML output.</p>"gr.Interface(    fn=show_html,    inputs=None,    outputs="html").launch()

import gradio as grdef process_list(my_list):    # 对列表进行处理的示例函数    return f"接收到列表，长度为: {my_list}"# 创建一个包含列表输入的界面gr.Interface(    process_list,    gr.List(label="输入列表"),  # 定义输入为列表    "text",    title="列表输入示例").launch()

import gradio as grimport plotly.graph_objects as go# 创建一个简单的Plotly图表def create_plot(x_data, y_data):    fig = go.Figure(data=go.Bar(x=x_data[0], y=y_data[0]))    return fig# 创建Gradio界面interface = gr.Interface(    fn=create_plot,    inputs=[        gr.List(label="X Axis Data"),        gr.List(label="Y Axis Data"),    ],    outputs='plot',)# 运行Gradio界面interface.launch()

import gradio as gr# with open("example.md", "r") as f:#     md_content = f.read()def show_markdown(markdown_text):    return markdown_textinterface = gr.Interface(    fn=show_markdown,    inputs=gr.Textbox(lines=10), # value = md_content    outputs=gr.Markdown())interface.launch()