交互式应用 📤
字数
959 字
阅读时间
5 分钟
Gradio 是一个用于快速搭建机器学习模型、脚本或工具交互界面的开源库，支持网页展示、分享链接、组件拖拽等功能，非常适合用来做可视化演示或验证。
在这里，您可以自由定制开发与集成，灵活适配自身需求场景，打造个性化应用；
应用列表
提示
- 按需使用，开启成功后，需要重启
剪映素材提取 cme
插件开发
1. 定义应用
python
...
from src.app.prefs import INSTANCES as prefs
from src.gradio.tools import helper
from src.gradio.tools.toast import Toast
def gradio(i18n=None, **kwargs):
# 配置
cfg = prefs.get()
# 界面
with gr.Blocks(**kwargs) as app:
helper.header_description("YouTube 在线视频下载")
input_url = gr.Textbox(label="链接", placeholder="粘贴链接")
with gr.Accordion("资源", open=True):
title_txt = gr.Textbox(label="标题", lines=1, interactive=False)
with gr.Tabs() as tabs:
with gr.TabItem("封面"):
thumb_image = gr.Image(label="预览", height=300)
with gr.TabItem("视频"):
video_table = gr.Dataframe(label="列表", headers=["ID", "格式", "分辨率", "大小", "音频"], interactive=True, elem_id="output-table")
video_fmt_input = gr.Textbox(label="ID")
btn_v_download = gr.Button("下载")
video_file = gr.Video(label="预览", height=300)
with gr.TabItem("音频"):
audio_table = gr.Dataframe(label="列表", headers=["ID", "格式", "码率", "大小"], interactive=True, elem_id="output-table")
audio_fmt_input = gr.Textbox(label="ID")
btn_a_download = gr.Button("下载")
audio_file = gr.Audio(label="预览", type="filepath")
with gr.Row():
parse_btn = gr.Button("解析", variant="primary")
with gr.Accordion("示例", open=True):
gr.Examples(
label="链接",
examples=[
["https://www.youtube.com/watch?v=SMWdVHNByhk"],
],
inputs=[input_url],
cache_examples=False,
)
# 解析
@gr.on(parse_btn.click, inputs=input_url, outputs=[thumb_image, title_txt, video_table, audio_table])
def on_parse(url):
try:
if not url:
raise Toast.warn("请输入链接")
thumb, title, v_formats, a_formats = parse_video(url)
return thumb, title, v_formats, a_formats
except Exception as e:
return None, None, [], []
# 切换标签页
@gr.on(tabs.change, outputs=[video_fmt_input, audio_fmt_input])
def on_tab_change(active_tab):
return "", ""
# 表格行选择
# 视频
@gr.on(video_table.select, outputs=video_fmt_input)
def on_video_select(evt: gr.SelectData):
selected_row = evt.row_value
return selected_row[0]
# 音频
@gr.on(audio_table.select, outputs=audio_fmt_input)
def on_audio_select(evt: gr.SelectData):
selected_row = evt.row_value
return selected_row[0]
# 视频下载
# 视频
@gr.on(btn_v_download.click, inputs=[input_url, video_fmt_input], outputs=video_file)
def on_download_video(url, fmt_id):
if not url:
return Toast.warn("请输入链接")
if not fmt_id:
return Toast.warn("请选择ID")
# 输出目录
output_dir = os.path.join(cfg.gradio.output_dir, DLP_DIR)
cbfile.mk_folder(output_dir, is_clean=cfg.gradio.debug)
# 下载
filepath = download_by_format(url, output_dir, fmt_id)
return cbfile.move_to_temp(filepath) if filepath else None
# 音频
@gr.on(btn_a_download.click, inputs=[input_url, audio_fmt_input], outputs=audio_file)
def on_download_audio(url, fmt_id):
if not url:
return Toast.warn("请输入链接")
if not fmt_id:
return Toast.warn("请选择ID")
# 输出目录
output_dir = os.path.join(cfg.gradio.output_dir, DLP_DIR)
cbfile.mk_folder(output_dir, is_clean=cfg.gradio.debug)
# 下载
filepath = download_by_format(url, output_dir, fmt_id)
return cbfile.move_to_temp(filepath) if filepath else None
return app
if __name__ == "__main__":
gradio().launch(server_port=8001)python
import gradio as gr
###################### 主题自定义 ######################
theme = gr.themes.Ocean(
text_size="sm",
)
###################### 主题自定义 ######################
def _default_theme():
return theme
if __name__ == "__main__":
# 1、run `python src\gradio\theme.py` to open the theme builder
# 2、or see https://huggingface.co/spaces/gradio/theme_builder
from gradio import themes as t
t.builder()2. 注册应用
bash
curl -X 'POST' \
'http://172.18.0.1:8000/gr/mounts' \
-H 'accept: application/json' \
-H 'Content-Type: application/json' \
-d '{
"name": "dlp", # 名称
"description": "YouTube Downloader Plus (yt-dlp)", # 描述
"module": "src.gradio.pages.dlp_", # 路径
"attr": "gradio", # 方法
"path": "/dlp", # 请求
"status": 1 # 状态
}'3. 打开应用
| 封面 | 视频 | 音频 |
|---|---|---|
 |  |  |
更多场景
1. 批量运行
批量化去操作？
待补充
2. 智能体嵌入
如何对接第三方的AI工作流
待补充
持续更新
专属插件
设计、开发和集成基于 CreatorBox 的专用插件，以扩展现有软件功能
如果你需要插件定制，请在 插件开发&集成 留言