73 lines
2.2 KiB
Markdown
73 lines
2.2 KiB
Markdown
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# Documentation
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- Class name: LLMHtmlRepair
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- Category: SALT/Language Toolkit/Tools/HTML
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- Output node: False
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- Repo Ref: https://github.com/saltlang/salt-ComfyUI
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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。
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# Input types
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## Required
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- llm_model
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- 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。
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- Comfy dtype: LLM_MODEL
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- Python dtype: Dict[str, Any]
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- text_input
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- 需要修复的格式错误HTML内容。它是修正过程的主要输入。
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- Comfy dtype: STRING
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- Python dtype: str
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## Optional
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- extra_directions
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- 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。
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- Comfy dtype: STRING
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- Python dtype: str
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# Output types
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- html_output
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- 修复后的HTML内容，结构良好且有效，确保没有遗漏任何数据。
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- Comfy dtype: STRING
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- Python dtype: str
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## Usage tips
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- Infra type: `GPU`
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- Common nodes: unknown
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## Source code
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```python
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class LLMHtmlRepair:
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@classmethod
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def INPUT_TYPES(cls):
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return {
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"required": {
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"llm_model": ("LLM_MODEL",),
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"text_input": ("STRING", {"multiline": True, "dynamicPrompts": False, "placeholder": "Malformed HTML..."}),
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},
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"optional": {
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"extra_directions": ("STRING", {"multiline": True, "dynamicPrompts": False, "placeholder": "Extra directions for the LLM to follow..."}),
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}
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}
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RETURN_TYPES = ("STRING",)
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RETURN_NAMES = ("html_output",)
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FUNCTION = "repair_html"
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CATEGORY = f"{MENU_NAME}/{SUB_MENU_NAME}/Tools/HTML"
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def repair_html(self, llm_model, text_input, extra_directions=""):
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prompt = (
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f"{text_input}\n\n###\n\n"
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"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."
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f"{extra_directions}\n\n"
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"Please ensure the HTML output is well-structured, valid,, and does not omit any data."
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)
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response = llm_model['llm'].complete(prompt)
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return (response.text,)
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```
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