### Start Stock Analysis API Service

Source: https://context7.com/wwwzhouhui/dify-for-dsl/llms.txt

Navigate to the stock analysis API directory and install dependencies. Then, run the Uvicorn server to start the service on port 8085.

```bash
cd dsl/akshare
pip install -r requirements.txt
uvicorn stock_analysis_api:app --host 0.0.0.0 --port 8085
```

--------------------------------

### Install Dependencies

Source: https://github.com/wwwzhouhui/dify-for-dsl/blob/main/py/geekaiapp/tts1/README.md

Navigate to the tts1 directory and install the required Python packages using pip.

```bash
cd geekaiapp/tts1
pip install -r requirements.txt
```

--------------------------------

### Start the LaTeX to Word Application

Source: https://github.com/wwwzhouhui/dify-for-dsl/blob/main/py/geekaiapp/laTex1/README.md

Navigate to the application directory and run the main Python script to start the Gradio web server.

```bash
cd geekaiapp/laTex1
python latex_gradio.py
```

--------------------------------

### Set up logging

Source: https://github.com/wwwzhouhui/dify-for-dsl/blob/main/py/readme.txt

Configures basic logging to INFO level and gets a logger instance.

```python
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
```

--------------------------------

### Configuration File Example

Source: https://github.com/wwwzhouhui/dify-for-dsl/blob/main/dsl/story/readme.md

Example of the config.ini file, detailing common, LLM, voice, server, and authentication settings. Ensure API keys and base URLs are correctly configured for your chosen LLM providers.

```ini
[common]
region = xxxx
secret_id = xxxx
secret_key = xxx
bucket = xxx

[llm]
text_llm_provider = intern
text_llm_model = internlm3-latest
image_llm_provider = siliconflow
image_llm_model = black-forest-labs/FLUX.1-schnell
openai_base_url = https://api.openai.com/v1
aliyun_base_url = https://dashscope.aliyuncs.com/compatible-mode/v1
deepseek_base_url = https://api.deepseek.com/v1
ollama_base_url = http://localhost:11434/v1
siliconflow_base_url = https://api.siliconflow.cn/v1
intern_base_url = https://chat.intern-ai.org.cn/api/v1
openai_api_key = ""
ali_api_key = ""
deepseek_api_key = ""
ollama_api_key = ""
siliconflow_api_key = sk-xxxxx
intern_api_key = 

[voice]
voice_name = zh-CN-XiaoxiaoNeural
voice_rate = 1.0

[server]
host = 127.0.0.1
port = 8000

[auth]
valid_tokens = ["zhouhui-1258720xxxx"]
```

--------------------------------

### Install Dependencies

Source: https://github.com/wwwzhouhui/dify-for-dsl/blob/main/mcp/FastMCP/readme.md

Navigate to the project directory and install all required Python packages using pip. It's recommended to use a specific mirror for faster downloads.

```shell
cd  F:\work\code\2025dify-dsl\dify-for-dsl\mcp\FastMCP
pip install -r  requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple/
```

--------------------------------

### Start Service

Source: https://github.com/wwwzhouhui/dify-for-dsl/blob/main/dsl/story/readme.md

Command to start the Dify Story DSL service. Ensure the configuration file is correctly set up before running.

```bash
python main.py
```

--------------------------------

### Start HiDream-E1 Server

Source: https://github.com/wwwzhouhui/dify-for-dsl/blob/main/dsl/difyforgitee/HiDream-E1说明.md

Execute this command in the terminal to start the HiDream-E1 server.

```shell
python giteeapiforall.py
```

--------------------------------

### File Upload Example

Source: https://github.com/wwwzhouhui/dify-for-dsl/blob/main/py/geekaiapp/readme.md

Demonstrates how to upload a file using multipart/form-data. Replace 'test.jpg' with your file name.

```bash
curl -F "file=@test.jpg" http://your-api-domain/api/upload
```

--------------------------------

### Install Dependencies

Source: https://github.com/wwwzhouhui/dify-for-dsl/blob/main/py/geekaiapp/beartAIfaceswap1/README.md

Installs all necessary Python packages for the BeArt AI Face Swap system. Ensure you have a requirements.txt file in your project directory.

```bash
pip install -r requirements.txt
```

--------------------------------

### Dify Plugin Development for Qwen-Image Text-to-Image

Source: https://github.com/wwwzhouhui/dify-for-dsl/blob/main/README.md

This guide focuses on zero-code Dify plugin development, primarily for text-to-image generation using Qwen-Image. Refer to SK47/qwen_text2image for Dify plugin code examples.

```yml
零代码搞定 DIFY 插件开发主要是基于qwen-image文生图，dify插件代码参考https://github.com/SK47/qwen_text2image  项目
```

--------------------------------

### Example Markdown Input

Source: https://github.com/wwwzhouhui/dify-for-dsl/blob/main/py/geekaiapp/markdown2map/README.md

This is an example of Markdown syntax supported by the tool, including headings, lists, and detailed content.

```markdown
# 主题
## 子主题1
### 详细内容1
- 要点1
- 要点2
## 子主题2
### 详细内容2
- 要点3
- 要点4
```

--------------------------------

### Install markmap-cli

Source: https://github.com/wwwzhouhui/dify-for-dsl/blob/main/py/geekaiapp/markdown2map/README.md

Install the markmap-cli globally using npm. This tool is required for converting Markdown to mindmaps.

```bash
npm install -g markmap-cli
```

--------------------------------

### Start MCP Server

Source: https://github.com/wwwzhouhui/dify-for-dsl/blob/main/mcp/FastMCP/readme.md

Execute the main server script to launch the FastMCP service. This command starts the server, making it available for client connections.

```shell
python doubao_mcp_ai_server2.py
```

--------------------------------

### Start Jimeng Video Generation Service

Source: https://context7.com/wwwzhouhui/dify-for-dsl/llms.txt

Ensure the `config.ini` file is correctly configured with your Tencent Cloud credentials and Jimeng API details. Then, start the Uvicorn server for the video generation service on port 8088.

```bash
uvicorn jimeng_video_service:app --host 0.0.0.0 --port 8088
```

--------------------------------

### Start Student Score Query API Service

Source: https://context7.com/wwwzhouhui/dify-for-dsl/llms.txt

Install dependencies and run the FastAPI service for querying student scores. This service operates on port 9090.

```bash
# Configure .env file
# DATABASE_URL=postgresql://user:password@localhost:5432/student_db

# Start the service
cd dsl/db/student
pip install -r requirements.txt
uvicorn score_api:app --host 0.0.0.0 --port 9090
```

--------------------------------

### Install Dependencies

Source: https://github.com/wwwzhouhui/dify-for-dsl/blob/main/dsl/story/readme.md

Installs required Python packages using pip. It's recommended to use Python 3.10+.

```bash
pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple/
```

--------------------------------

### Start HTML Generation and Upload Service

Source: https://context7.com/wwwzhouhui/dify-for-dsl/llms.txt

Navigate to the HTML generation directory and start the Uvicorn server on port 8088. This service handles saving generated HTML content to COS.

```bash
cd dsl/makehtml
uvicorn makehtmlapi:app --host 0.0.0.0 --port 8088
```

--------------------------------

### Configuration File Example

Source: https://github.com/wwwzhouhui/dify-for-dsl/blob/main/dsl/difyforsiliconflow/bizyair/reademe.md

This INI file defines default settings for output paths, workflow files, ComfyUI endpoint, and cloud storage credentials.

```ini
[DEFAULT]
output_path = D:\\工作临时\\2025\\1月\\2025年1月20日\\output
#output_path = /home/python/difyforgitee/pictures
workflowfile= D:\\工作临时\\2025\\1月\\2025年1月17日\\workflow_api111.json
#workflowfile= /home/python/difyforgitee/workflow_api111.json
comfyui_endpoit=192.168.1.13:8188
region = ap-nanjing              腾讯云OSS存储Region
secret_id = xxxxxx               腾讯云OSS存储SecretId
secret_key = xxxxx               腾讯云OSS存储SecretKey
bucket = dify-1258720957         腾讯云OSS存储bucket

```

--------------------------------

### Install Dependencies for AI News Crawler

Source: https://context7.com/wwwzhouhui/dify-for-dsl/llms.txt

Navigate to the crawl4ai directory and install the required Python packages for the AI news crawling service.

```bash
# Install dependencies
cd dsl/crawl4ai
pip install -r requirements.txt
```

--------------------------------

### Troubleshoot: Pandoc Not Found Error

Source: https://github.com/wwwzhouhui/dify-for-dsl/blob/main/py/geekaiapp/laTex1/README.md

If Pandoc is not found, ensure it is installed and accessible in your system's PATH environment variable.

```text
错误: 未找到Pandoc
解决: 安装Pandoc并确保在PATH中
```

--------------------------------

### Start Gradio Application

Source: https://github.com/wwwzhouhui/dify-for-dsl/blob/main/py/geekaiapp/markdown2map/README.md

Run the Gradio application using the provided Python script. This command starts the web interface for the Markdown to Mindmap converter.

```bash
python marp1_gradio.py
```

--------------------------------

### Start Gradio Visual Interface

Source: https://github.com/wwwzhouhui/dify-for-dsl/blob/main/py/geekaiapp/tts1/README.md

Run the Gradio application to access the web-based TTS interface. The service will be available at http://localhost:16003.

```bash
python tts1_gradio.py
```

--------------------------------

### Run FastAPI Application

Source: https://github.com/wwwzhouhui/dify-for-dsl/blob/main/dsl/difyforgitee/dify中创建并使用自定义工具-gitee绘画.md

Starts the FastAPI application using uvicorn. This is the standard way to run a FastAPI application in production or for development.

```python
if __name__ == "__main__":
    import uvicorn
    uvicorn.run(app, host="0.0.0.0", port=8081)
```

--------------------------------

### Project Dependencies

Source: https://github.com/wwwzhouhui/dify-for-dsl/blob/main/dsl/difyforgitee/dify中创建并使用自定义工具-gitee绘画.md

Lists the Python packages required for the project. These should be installed using pip.

```text
uvicorn== 0.34.0
fastapi== 0.115.6
cos-python-sdk-v5==1.9.33
```

--------------------------------

### Run the Application

Source: https://github.com/wwwzhouhui/dify-for-dsl/blob/main/py/geekaiapp/beartAIfaceswap1/README.md

Launches the BeArt AI Face Swap Gradio application. The application will be accessible at http://localhost:16001.

```bash
python bf_gradio.py
```

--------------------------------

### 进入容器

Source: https://github.com/wwwzhouhui/dify-for-dsl/blob/main/py/fapiao/README.md

通过 bash 进入正在运行的 Docker 容器，以便进行调试或执行命令。

```bash
# 进入容器
docker exec -it fapiaosqd-web bash

```

--------------------------------

### 查看容器状态

Source: https://github.com/wwwzhouhui/dify-for-dsl/blob/main/py/fapiao/README.md

检查正在运行的 Docker 容器的状态。

```bash
# 查看容器状态
docker ps

```

--------------------------------

### Configure Cherry Studio Client

Source: https://github.com/wwwzhouhui/dify-for-dsl/blob/main/mcp/FastMCP/readme.md

Set up Cherry Studio to connect to the MCP server. This involves adding a new server configuration, selecting 'sse' as the type, and providing the correct URL.

```json
{ "doubao_mcp_ai_server": { "url": "http://127.0.0.1:8002/sse", "headers": {}, "timeout": 60, "sse_read_timeout": 300 } }
```

--------------------------------

### 直接使用 Docker 运行

Source: https://github.com/wwwzhouhui/dify-for-dsl/blob/main/py/fapiao/README.md

直接运行 Docker 容器，并配置必要的目录挂载和端口映射。适用于快速启动或独立运行。

```bash
# 创建必要的目录
mkdir -p uploads exports

# 运行容器
docker run -d \
  --name fapiaosqd-web \
  -p 15601:15601 \
  -v $(pwd)/uploads:/app/uploads \
  -v $(pwd)/exports:/app/exports \
  --restart unless-stopped \
  wwwzhouhui569/fapiaosqd:latest

```

--------------------------------

### 构建 Docker 镜像

Source: https://github.com/wwwzhouhui/dify-for-dsl/blob/main/py/fapiao/README.md

使用此命令构建项目的 Docker 镜像。确保在包含 Dockerfile 的项目根目录下运行。

```bash
# 构建镜像
docker build -t fapiaosqd:latest .

```

--------------------------------

### Dify Workflow for Building an Intelligent Mind Map System

Source: https://github.com/wwwzhouhui/dify-for-dsl/blob/main/README.md

This practical tutorial demonstrates how to build an intelligent mind map system in 5 minutes using Dify and the MCP tool.

```yml
5分钟搭建智能思维导图系统！Dify + MCP工具实战教程.yml
```

--------------------------------

### Get History from Server

Source: https://github.com/wwwzhouhui/dify-for-dsl/blob/main/py/readme.txt

Fetches the processing history for a given prompt ID from the server. It makes an HTTP GET request to the server's history endpoint. Requires `server_address` to be defined globally.

```python
def get_history(prompt_id):
    with urllib.request.urlopen(f"http://{server_address}/history/{prompt_id}") as response:
        return json.loads(response.read())
```

--------------------------------

### 更新镜像

Source: https://github.com/wwwzhouhui/dify-for-dsl/blob/main/py/fapiao/README.md

拉取最新的 Docker 镜像并重新部署服务。

```bash
# 更新镜像
docker-compose pull
docker-compose up -d

```

--------------------------------

### 配置客户端认证头

Source: https://github.com/wwwzhouhui/dify-for-dsl/blob/main/dsl/jimeng/即梦文生视频逆向接口部署使用.md

在客户端代码中，需要设置Authorization请求头，其值应与服务端config.ini配置文件中的自定义秘钥保持一致，以进行身份验证。

```python
    # 添加认证头
    headers = {
        "Authorization": "Bearer sk-zhouhui11111",  # 替换为实际的认证token
        "Content-Type": "application/json"
    }
```

--------------------------------

### Enable Debug Logging

Source: https://github.com/wwwzhouhui/dify-for-dsl/blob/main/py/geekaiapp/laTex1/README.md

To get more detailed logs for debugging, configure the logging level to DEBUG.

```python
import logging
logging.basicConfig(level=logging.DEBUG)
```

--------------------------------

### Initialize Global Variables

Source: https://github.com/wwwzhouhui/dify-for-dsl/blob/main/py/yewu2videoaddsrt/templates/index.html

Initializes global variables for storing file paths. `window.audio_file` stores the temporary location of uploaded audio/video files, and `window.video_url` stores the server's temporary storage location for uploaded videos.

```javascript
window.audio_file = null; // 上传视频后服务器返回的临时存储位置 window.video_url = null;
```

--------------------------------

### Start FastAPI API Service

Source: https://github.com/wwwzhouhui/dify-for-dsl/blob/main/py/geekaiapp/tts1/README.md

Run the FastAPI application to expose the TTS functionality as an API. The service will be available at http://localhost:16003.

```bash
python tts1_jiekou.py
```

--------------------------------

### Dify Workflow for Generating System Architecture Diagrams with Kimi-K2 and Mermaid

Source: https://github.com/wwwzhouhui/dify-for-dsl/blob/main/README.md

This workflow uses Kimi-K2 and Mermaid to generate system architecture diagrams with a single click, making it easy for beginners to understand.

```yml
用Kimi-K2+Mermaid 神器，一键生成系统架构图！小白也能秒会.yml
```

--------------------------------

### Start AI News Crawling Service

Source: https://context7.com/wwwzhouhui/dify-for-dsl/llms.txt

Run the FastAPI service for crawling AI news from aibase.com. This service operates on port 8086.

```bash
# Start the service
uvicorn aibase_craw4fastapi:app --host 0.0.0.0 --port 8086
```

--------------------------------

### 重启服务

Source: https://github.com/wwwzhouhui/dify-for-dsl/blob/main/py/fapiao/README.md

使用 Docker Compose 重启所有定义的服务。

```bash
# 重启服务
docker-compose restart

```

--------------------------------

### Add Python Dependencies to Sandbox

Source: https://github.com/wwwzhouhui/dify-for-dsl/blob/main/README.md

Modify the docker-compose.yaml file to include a python-requirements.txt file for installing third-party libraries like pandas in the sandbox environment.

```yaml
volumes:
  - ./python-requirements.txt:/app/python-requirements.txt
```

--------------------------------

### Convert Markdown to Word Document

Source: https://context7.com/wwwzhouhui/dify-for-dsl/llms.txt

Converts Markdown text to a .docx Word document using Spire.Doc. Requires installation of the Spire.Doc library. The service runs on port 8089.

```bash
# Install dependencies (requires Spire.Doc for Python)
pip install spire.doc

# Start the service
cd dsl/office/word
uvicorn md_to_docx_server:app --host 0.0.0.0 --port 8089

# Convert Markdown to Word (request body directly sends Markdown text)
curl -X POST http://localhost:8089/office/word/convert \
  -H "Content-Type: text/plain" \
  --data-binary "# Project Report

## I. Project Overview
This project is built on the Dify platform for AI workflows.

## II. Technology Stack
- FastAPI
- Dify DSL
- Tencent Cloud COS

```python
print('Hello, Dify!')
```"

# Example Response
# {
#   "download_url": "http://localhost:8089/office/word/download/1701432045.docx"
# }

# Download the generated Word file
curl -O http://localhost:8089/office/word/download/1701432045.docx
```

--------------------------------

### Initialize Drag-and-Drop and Load Local Storage Settings

Source: https://github.com/wwwzhouhui/dify-for-dsl/blob/main/py/yewu2videoaddsrt/templates/index.html

Initializes the drag-and-drop functionality for video uploads and loads 'proxy' and 'api_key' from local storage into the respective input fields.

```javascript
$(document).ready(function () {
    dropfun($("#drop"), $("#video"), $("#close"));
    dropfun($("#drop2"), $("#video2"), $("#close2"));
    // 视频解说end
    let proxy = localStorage.getItem('proxy')
    let api_key = localStorage.getItem('api_key')
    if (proxy) {
        $('#proxy').val(proxy)
    }
    if (api_key) {
        $('#api-key').val(api_key)
    }
    // 文件选择器
    $('#load-srt').on('click', function () {
        $('#source-srt').val(''); // 清空文本框
        var fileInput = $('<input type="file" accept=".srt">');
        fileInput.on('change', function (e) {
            var file = e.target.files[0];
            var reader = new FileReader();
            reader.onload = function (e) {
                $('#source-srt').val(e.target.result);
            };
            reader.readAsText(file);
        });
        fileInput.trigger('click');
    });
    // 下载翻译结果 SRT 文件
    $('#download-srt').on('click', function () {
        var targetSrt = $('#target-srt').val().trim();
        if (!targetSrt) {
            return alert('翻译结果为空，无需下载');
        }
        var blob = new Blob([targetSrt], {type: 'text/plain'});
        var url = window.URL.createObjectURL(blob);
        var link = document.createElement('a');
        link.href = url;
        link.setAttribute('download', 'translation.srt');
        document.body.appendChild(link);
        link.click();
        document.body.removeChild(link);
    });
    // 提交表单
    $('#translate-form').on('submit', function (event) {
        event.preventDefault(); // 阻止表单默认提交行为
        var formData = {
            'language': $('#subtitle-language').val(),
            'model_name': $('#model').val(),
            'api_key': $('#api-key').val(),
            'proxy': $('#proxy').val().trim(),
            'text': $('#source-srt').val().trim(),
            'piliang': $('#piliang').val(),
            'waitsec': $('#waitsec').val(),
            "audio_file": window.audio_file
        };
        if (!formData['text'] && !formData['audio_file']) {
            return alert('必须输入srt字幕或上传音视频文件');
        }
        if (!formData['api_key']) {
            <!-- return alert('必须填写Api Key');-->
        }
        if (formData['proxy'] && formData['proxy'].substr(0, 4) != 'http') {
            return alert('代理必须以http开头');
        }
        if (formData['text'] && formData['audio_file']) {
            if (!confirm('同时上传了SRT字幕和音视频，将只对SRT字幕进行翻译，不转录音视频，若需转录请删掉原始SRT字幕，是否继续？')) {
                return;
            }
            formData['audio_file'] = '';
        }
        if (formData['text'] && formData['language'] == '-') {
            return alert('存在原始SRT字幕情况下必须选择目标语言');
        }
        formData['proxy'] && localStorage.setItem('proxy', formData['proxy']);
        localStorage.setItem('api_key', formData['api_key']);
        // 禁用提交按钮
        $('#result_tips').text('')
        $('#submit-button').prop('disabled', true).text((formDa
```

--------------------------------

### Download ComfyUI Bizyair Docker Image

Source: https://github.com/wwwzhouhui/dify-for-dsl/blob/main/dsl/difyforsiliconflow/bizyair/reademe.md

Use this command to pull the latest ComfyUI Bizyair Docker image from Docker Hub. Ensure Docker is installed and configured on your system.

```bash
docker pull wwwzhouhui569/comfyui_bizyair:v0.4.0
```

--------------------------------

### 使用 Docker Compose 部署

Source: https://github.com/wwwzhouhui/dify-for-dsl/blob/main/py/fapiao/README.md

通过 Docker Compose 管理服务的启动、状态查看、日志跟踪和停止。推荐用于生产环境。

```bash
# 启动服务
docker-compose up -d

# 查看服务状态
docker-compose ps

# 查看日志
docker-compose logs -f fapiaosqd

# 停止服务
docker-compose down

```

--------------------------------

### Get Image from Server

Source: https://github.com/wwwzhouhui/dify-for-dsl/blob/main/py/readme.txt

Retrieves an image from the server using its filename, subfolder, and type. It constructs a URL with query parameters and fetches the image data. Requires `server_address` to be defined globally.

```python
def get_image(filename, subfolder, folder_type):
    data = {"filename": filename, "subfolder": subfolder, "type": folder_type}
    url_values = urllib.parse.urlencode(data)
    with urllib.request.urlopen(f"http://{server_address}/view?{url_values}") as response:
        return response.read()
```

--------------------------------

### Generating OpenAPI Schema from cURL

Source: https://github.com/wwwzhouhui/dify-for-dsl/blob/main/dsl/difyforgitee/dify中创建并使用自定义工具-gitee绘画.md

This prompt guides GPT to convert a cURL command into an OpenAPI 3.1.0 JSON schema. It specifically excludes response information, focusing on the request structure.

```text
请把curl请求命令转成openapi 3.1.0 版本的json schema，不需要包含response信息
<curl>
curl --location 'http://111.119.215.74:8081/generate_image/'
--header 'Content-Type: application/json'
--data '{"prompt": "一只可爱的小花猫，时尚，头上戴着彩色波点蝴蝶结三角头巾，大大的腮红，很可爱，高饱和度，可爱嘟嘟，毛绒绒且柔软，身穿头巾撞色系旗袍，羊毛毡风格，脖子带你呼应色围巾，非常可爱，怀里抱一束花，上半身肖像，送给你的姿势，卡哇伊，画面简约，高饱和度，轻松气氛，丝滑的画质，中景视角，标准镜头，简约风格，32k高清图，萌态十足，蓝天白云背景，精妙无双"}'
</curl>

json schema请参照下面的例子
<json-schema>
{
"openapi": "3.1.0",
"info": {
"title": "Get weather data",
"description": "Retrieves current weather data for a location.",
"version": "v1.0.0"
},
"servers": [
{
"url": ""
}
],
"paths": {},
"components": {
"schemas": {}
}
</json-schema>
```

--------------------------------

### API Request for Text-to-Speech

Source: https://github.com/wwwzhouhui/dify-for-dsl/blob/main/py/geekaiapp/tts1/README.md

Example cURL command to make a POST request to the TTS API endpoint. It includes input text, voice selection, model, speed, and desired audio format.

```bash
curl --location 'http://localhost:16003/api/edge/tts12/' \
--header 'Authorization: Bearer geekaiapp' \
--header 'Content-Type: application/json' \
--data '{
    "input":"你好，这是一个测试文本。",
    "voice": "zh-CN-XiaoxiaoNeural",
    "model": "tts-1",
    "speed": 1.0,
    "response_format": "mp3"
}'
```

--------------------------------

### Configure Tencent Cloud OSS Credentials

Source: https://github.com/wwwzhouhui/dify-for-dsl/blob/main/py/readme.txt

Sets up region, secret ID, secret key, and bucket name for Tencent Cloud Object Storage using environment variables.

```python
tencent_region = os.getenv('TENCENT_REGION', 'ap-nanjing')
tencent_secret_id = os.getenv('TENCENT_SECRET_ID', 'xxxxxx')
tencent_secret_key = os.getenv('TENCENT_SECRET_KEY', 'xxxxxx')
tencent_bucket = os.getenv('TENCENT_BUCKET', 'dify-1305874767')
```

--------------------------------

### Global Audio Playback Control - JavaScript

Source: https://github.com/wwwzhouhui/dify-for-dsl/blob/main/py/yewu2edgetts/index.html

Manages the current audio playback state, including the audio object and the play button element. Provides a function to get the HTML for a play/pause button.

```javascript
let currentAudio = null; // 当前播放的音频对象
let currentPlayBtn = null; // 当前播放按钮
// 修改音频列表中的播放按钮 HTML
function getPlayButtonHTML(isPlaying) {
    return isPlaying ? 
    ` <svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="text-gray-600">
        <rect x="6" y="4" width="4" height="16"></rect>
        <rect x="14" y="4" width="4" height="16"></rect>
    </svg> ` :
    ` <svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="text-gray-600">
        <polygon points="5 3 19 12 5 21 5 3"></polygon>
    </svg> `;
}
```

--------------------------------

### 查看容器日志

Source: https://github.com/wwwzhouhui/dify-for-dsl/blob/main/py/fapiao/README.md

实时查看指定 Docker 容器的日志输出。

```bash
# 查看容器日志
docker logs fapiaosqd-web

```

--------------------------------

### Dify HTTP Request Configuration

Source: https://github.com/wwwzhouhui/dify-for-dsl/blob/main/dsl/story/readme.md

Example of configuring an HTTP request in Dify to call the video generation service. Ensure the API key used in Dify matches the 'valid_tokens' in the server's configuration.

```json
{
    "model": "dify-story-video",
    "inputs": {
        "prompt": "A futuristic cityscape at sunset.",
        "video_length": 5
    },
    "response_format": {
        "type": "json_object"
    }
}
```

--------------------------------

### Configure Alibaba Cloud LLM Service

Source: https://github.com/wwwzhouhui/dify-for-dsl/blob/main/py/readme.txt

Sets up API key, base URL, and model for Alibaba Cloud's large model service using environment variables.

```python
aliyuncs_api_key = os.getenv('ALIYUNCS_API_KEY', 'xxxxx')
aliyuncs_base_url = os.getenv('ALIYUNCS_BASE_URL', 'https://dashscope.aliyuncs.com/compatible-mode/v1')
aliyuncs_model = os.getenv('ALIYUNCS_MODEL', 'qwen-max')
```

--------------------------------

### Dify Workflow for Mathematical Formula Recognition

Source: https://github.com/wwwzhouhui/dify-for-dsl/blob/main/README.md

This workflow takes PDF or image input, recognizes mathematical formulas within, and outputs them in a LaTeX format that can be edited in Word. Requires installation of Pandoc and LaTeX environments.

```yml
数学公式识别工作流，输入pdf或图片，识别出里面的数学公式，并且输出支持latex格式的可编辑word，需要安装pandoc（ https://github.com/jgm/pandoc/releases/tag/3.7.0.2 ）和laTex（ https://miktex.org/download ） 环境。
https://github.com/SK47/dify-for-dsl/tree/main/dsl/69-dify案例分享-数学公式识别工作流.yml
```

--------------------------------

### Comfui Bizyair Workflow JSON Example

Source: https://github.com/wwwzhouhui/dify-for-dsl/blob/main/dsl/difyforsiliconflow/bizyair/reademe.md

This JSON represents a Comfui Bizyair workflow, detailing nodes, inputs, and class types for AI image generation tasks. Pay close attention to prompt text and node consistency when customizing.

```json
{
  "70": {
    "inputs": {
      "unet_name": "kolors/Kolors.safetensors"
    },
    "class_type": "BizyAir_MZ_KolorsUNETLoaderV2",
    "_meta": {
      "title": "☁️BizyAir MinusZone - KolorsUNETLoaderV2"
    }
  },
  "73": {
    "inputs": {
      "seed": 20,
      "steps": 20,
      "cfg": 4.5,
      "sampler_name": "dpmpp_sde_gpu",
      "scheduler": "karras",
      "denoise": 1,
      "model": [
        "70",
        0
      ],
      "positive": [
        "80",
        0
      ],
      "negative": [
        "81",
        0
      ],
      "latent_image": [
        "85",
        0
      ]
    },
    "class_type": "BizyAir_KSampler",
    "_meta": {
      "title": "☁️BizyAir KSampler"
    }
  },
  "75": {
    "inputs": {
      "vae_name": "sdxl/sdxl_vae.safetensors"
    },
    "class_type": "BizyAir_VAELoader",
    "_meta": {
      "title": "☁️BizyAir Load VAE"
    }
  },
  "76": {
    "inputs": {
      "samples": [
        "73",
        0
      ],
      "vae": [
        "75",
        0
      ]
    },
    "class_type": "BizyAir_VAEDecode",
    "_meta": {
      "title": "☁️BizyAir VAE Decode"
    }
  },
  "80": {
    "inputs": {
      "text": "真实的照片,20岁女生,红色外套,城市夜景"
    },
    "class_type": "BizyAir_MinusZoneChatGLM3TextEncode",
    "_meta": {
      "title": "☁️BizyAir MinusZone ChatGLM3 Text Encode"
    }
  },
  "81": {
    "inputs": {
      "text": "nsfw，脸部阴影，低分辨率，jpeg伪影、模糊、糟糕，黑脸，霓虹灯"
    },
    "class_type": "BizyAir_MinusZoneChatGLM3TextEncode",
    "_meta": {
      "title": "☁️BizyAir MinusZone ChatGLM3 Text Encode"
    }
  },
  "85": {
    "inputs": {
      "width": 1024,
      "height": 1024,
      "batch_size": 1
    },
    "class_type": "EmptyLatentImage",
    "_meta": {
      "title": "空Latent图像"
    }
  },
  "86": {
    "inputs": {
      "images": [
        "76",
        0
      ]
    },
    "class_type": "PreviewImage",
    "_meta": {
      "title": "预览图像"
    }
  }
}
```

--------------------------------

### 运行 Gradio 应用

Source: https://github.com/wwwzhouhui/dify-for-dsl/blob/main/py/geekaiapp/wenshengtu1/README.md

启动即梦文生图 Gradio 可视化界面。应用将在本地的 http://localhost:7860 启动。

```bash
python jm1_gradio.py
```

--------------------------------

### Dify Workflow for Multiple Image Generation with Ji Meng 4.0

Source: https://github.com/wwwzhouhui/dify-for-dsl/blob/main/README.md

This workflow provides a comprehensive guide to building and using Dify workflows for generating multiple images with Ji Meng 4.0, including case studies and effect demonstrations.

```yml
免费玩转即梦 4.0 多图生成！Dify 工作流从搭建到使用全攻略，附案例效果.yml
```

--------------------------------

### Initialize PostgreSQL Database for Student Scores

Source: https://context7.com/wwwzhouhui/dify-for-dsl/llms.txt

Run this SQL script to initialize the PostgreSQL database schema for student scores. Ensure your PostgreSQL server is running and accessible.

```bash
psql -U postgres -f dsl/db/student/student_score.sql
# or use the table creation statement in the test2sql directory
psql -U postgres -f dsl/db/test2sql/student_scores.sql
```

--------------------------------

### Dify Workflow for Google's AI Image Generation Tool

Source: https://github.com/wwwzhouhui/dify-for-dsl/blob/main/README.md

This workflow guides users on how to call Google's latest AI image generation tool using Dify. Refer to SK47/nano_banana for related third-party plugin source code.

```yml
手把手教你用Dify调用Google最新AI画图神器.yml
```

--------------------------------

### Configure API Key

Source: https://github.com/wwwzhouhui/dify-for-dsl/blob/main/mcp/FastMCP/readme.md

Modify the 'doubao_mcp_ai_server2.py' file on line 14 to replace the placeholder with your actual Volcengine API key. This key is essential for accessing cloud AI models.

```python
API_KEY = "火山引擎API密钥"
```