2.2 KiB
2.2 KiB
Documentation
- Class name: LLMHtmlRepair
- Category: SALT/Language Toolkit/Tools/HTML
- Output node: False
- Repo Ref: https://github.com/saltlang/salt-ComfyUI
LLMHtmlRepair节点利用语言模型来分析和修正格式错误的HTML内容,确保输出结果是结构良好且有效的HTML,而不会丢失任何数据。
Input types
Required
- llm_model
- 指定用于修复HTML的语言模型。它对于理解输入和生成修正后的HTML至关重要。
- Comfy dtype: LLM_MODEL
- Python dtype: Dict[str, Any]
- text_input
- 需要修复的格式错误HTML内容。它是修正过程的主要输入。
- Comfy dtype: STRING
- Python dtype: str
Optional
- extra_directions
- 可选的额外指令,用于指导语言模型进行更具体的修复过程。
- Comfy dtype: STRING
- Python dtype: str
Output types
- html_output
- 修复后的HTML内容,结构良好且有效,确保没有遗漏任何数据。
- Comfy dtype: STRING
- Python dtype: str
Usage tips
- Infra type:
GPU - Common nodes: unknown
Source code
class LLMHtmlRepair:
@classmethod
def INPUT_TYPES(cls):
return {
"required": {
"llm_model": ("LLM_MODEL",),
"text_input": ("STRING", {"multiline": True, "dynamicPrompts": False, "placeholder": "Malformed HTML..."}),
},
"optional": {
"extra_directions": ("STRING", {"multiline": True, "dynamicPrompts": False, "placeholder": "Extra directions for the LLM to follow..."}),
}
}
RETURN_TYPES = ("STRING",)
RETURN_NAMES = ("html_output",)
FUNCTION = "repair_html"
CATEGORY = f"{MENU_NAME}/{SUB_MENU_NAME}/Tools/HTML"
def repair_html(self, llm_model, text_input, extra_directions=""):
prompt = (
f"{text_input}\n\n###\n\n"
"Given the above malformed HTML, please inspect it and repair it so that it's valid HTML, without changing or losing any data if possible."
f"{extra_directions}\n\n"
"Please ensure the HTML output is well-structured, valid,, and does not omit any data."
)
response = llm_model['llm'].complete(prompt)
return (response.text,)