feat: 更新插件作者信息并将深度阅读插件本地化为英文
This commit is contained in:
fujie
@@ -1,11 +1,11 @@
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"""
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title: 闪记卡 (Flash Card)
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author: Antigravity
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author_url: https://github.com/open-webui
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funding_url: https://github.com/open-webui
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title: Flash Card
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author: Fu-Jie
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author_url: https://github.com/Fu-Jie
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funding_url: https://github.com/Fu-Jie/awesome-openwebui
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version: 0.2.1
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icon_url: data:image/svg+xml;base64,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description: 快速将文本提炼为精美的学习记忆卡片，支持核心要点提取与分类。
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description: Quickly generates beautiful flashcards from text, extracting key points and categories.
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"""
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from pydantic import BaseModel, Field
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@@ -24,20 +24,23 @@ class Action:
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class Valves(BaseModel):
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model_id: str = Field(
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default="",
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description="用于生成卡片内容的模型 ID。如果为空，则使用当前模型。",
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description="Model ID used for generating card content. If empty, uses the current model.",
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)
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min_text_length: int = Field(
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default=50, description="生成闪记卡所需的最小文本长度（字符数）。"
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default=50,
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description="Minimum text length required to generate a flashcard (characters).",
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)
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max_text_length: int = Field(
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default=2000,
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description="建议的最大文本长度。超过此长度建议使用深度分析工具。",
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description="Recommended maximum text length. For longer texts, deep analysis tools are recommended.",
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)
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language: str = Field(
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default="zh", description="卡片内容的目标语言 (例如 'zh', 'en')。"
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default="en",
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description="Target language for card content (e.g., 'en', 'zh').",
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)
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show_status: bool = Field(
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default=True, description="是否在聊天界面显示状态更新。"
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default=True,
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description="Whether to show status updates in the chat interface.",
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)
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def __init__(self):
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@@ -72,7 +75,7 @@ class Action:
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"type": "notification",
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"data": {
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"type": "warning",
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"content": f"文本过短（{text_length}字符），建议至少{self.valves.min_text_length}字符。",
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"content": f"Text too short ({text_length} chars), recommended at least {self.valves.min_text_length} chars.",
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},
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}
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)
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@@ -85,7 +88,7 @@ class Action:
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"type": "notification",
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"data": {
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"type": "info",
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"content": f"文本较长（{text_length}字符），建议使用'墨海拾贝'进行深度分析。",
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"content": f"Text quite long ({text_length} chars), consider using 'Deep Reading' for deep analysis.",
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},
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}
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)
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@@ -97,7 +100,7 @@ class Action:
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"type": "notification",
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"data": {
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"type": "info",
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"content": "⚡ 正在生成闪记卡...",
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"content": "⚡ Generating Flash Card...",
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},
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}
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)
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@@ -110,29 +113,29 @@ class Action:
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model = self.valves.model_id if self.valves.model_id else body.get("model")
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system_prompt = f"""
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你是一个闪记卡生成专家，专注于创建适合学习和记忆的知识卡片。你的任务是将文本提炼成简洁、易记的学习卡片。
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You are a Flash Card Generation Expert, specializing in creating knowledge cards suitable for learning and memorization. Your task is to distill text into concise, easy-to-remember flashcards.
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请提取以下字段，并以 JSON 格式返回：
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1. "title": 创建一个简短、精准的标题（6-12 字），突出核心概念
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2. "summary": 用一句话总结核心要义（20-40 字），要通俗易懂、便于记忆
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3. "key_points": 列出 3-5 个关键记忆点（每个 10-20 字）
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- 每个要点应该是独立的知识点
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- 使用简洁、口语化的表达
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- 避免冗长的句子
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4. "tags": 列出 2-4 个分类标签（每个 2-5 字）
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5. "category": 选择一个主分类（如：概念、技能、事实、方法等）
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Please extract the following fields and return them in JSON format:
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1. "title": Create a short, precise title (3-8 words), highlighting the core concept.
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2. "summary": Summarize the core essence in one sentence (10-25 words), making it easy to understand and remember.
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3. "key_points": List 3-5 key memory points (5-15 words each).
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- Each point should be an independent knowledge unit.
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- Use concise, conversational expression.
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- Avoid long sentences.
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4. "tags": List 2-4 classification tags (1-3 words each).
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5. "category": Choose a main category (e.g., Concept, Skill, Fact, Method, etc.).
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目标语言: {self.valves.language}
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Target Language: {self.valves.language}
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重要原则：
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- **极简主义**: 每个要点都要精炼到极致
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- **记忆优先**: 内容要便于记忆和回忆
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- **核心聚焦**: 只提取最核心的知识点
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- **口语化**: 使用通俗易懂的语言
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- 只返回 JSON 对象，不要包含 markdown 格式
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Important Principles:
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- **Minimalism**: Refine each point to the extreme.
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- **Memory First**: Content should be easy to memorize and recall.
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- **Core Focus**: Extract only the most core knowledge points.
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- **Conversational**: Use easy-to-understand language.
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- Return ONLY the JSON object, do not include markdown formatting.
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"""
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prompt = f"请将以下文本提炼成一张学习记忆卡片：\n\n{target_message}"
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prompt = f"Please refine the following text into a learning flashcard:\n\n{target_message}"
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payload = {
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"model": model,
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@@ -163,7 +166,7 @@ class Action:
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"type": "notification",
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"data": {
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"type": "error",
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"content": "生成卡片数据失败，请重试。",
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"content": "Failed to generate card data, please try again.",
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},
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}
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)
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@@ -173,11 +176,6 @@ class Action:
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html_card = self.generate_html_card(card_data)
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# 3. Append to message
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# We append it to the user message so it shows up as part of the interaction
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# Or we can append it to the assistant response if we were a Pipe, but this is an Action.
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# Actions usually modify the input or trigger a side effect.
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# To show the card, we can append it to the message content.
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html_embed_tag = f"```html\n{html_card}\n```"
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body["messages"][-1]["content"] += f"\n\n{html_embed_tag}"
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@@ -187,7 +185,7 @@ class Action:
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"type": "notification",
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"data": {
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"type": "success",
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"content": "⚡ 闪记卡生成成功！",
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"content": "⚡ Flash Card generated successfully!",
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},
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}
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)
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@@ -202,7 +200,7 @@ class Action:
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"type": "notification",
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"data": {
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"type": "error",
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"content": f"生成知识卡片时出错: {str(e)}",
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"content": f"Error generating knowledge card: {str(e)}",
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},
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}
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)
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@@ -519,7 +517,7 @@ class Action:
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# Enhanced HTML structure
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html = f"""<!DOCTYPE html>
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<html lang="zh-CN">
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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@@ -530,20 +528,20 @@ class Action:
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<div class="knowledge-card">
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<div class="card-inner">
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<div class="card-header">
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<div class="card-category">{data.get('category', '通用知识')}</div>
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<h2 class="card-title">{data.get('title', '知识卡片')}</h2>
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<div class="card-category">{data.get('category', 'General Knowledge')}</div>
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<h2 class="card-title">{data.get('title', 'Flash Card')}</h2>
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</div>
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<div class="card-body">
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<div class="card-summary">
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{data.get('summary', '')}
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</div>
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<div class="card-section-title">核心要点</div>
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<div class="card-section-title">Key Points</div>
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<ul class="card-points">
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{''.join([f'<li>{point}</li>' for point in data.get('key_points', [])])}
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</ul>
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</div>
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<div class="card-footer">
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<span class="card-tag-label">标签</span>
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<span class="card-tag-label">Tags</span>
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{''.join([f'<span class="card-tag">#{tag}</span>' for tag in data.get('tags', [])])}
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</div>
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</div>
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