dd2a1b536f
新增沉浸故事生成模式,支持原文朗读和智能分段: - 服务端新增generate_podcast_with_story_api函数和专用API端点 - 添加故事模式专用prompt模板(prompt-story-overview.txt和prompt-story-podscript.txt) - 前端新增模式切换UI,支持AI播客和沉浸故事两种模式 - 沉浸故事模式固定消耗30积分,不需要语言和时长参数 - 优化音频静音裁剪逻辑,保留首尾200ms空白提升自然度 - 修复session管理和错误处理,提升系统稳定性 - 新增多语言配置(中英日)支持模式切换文案
21 lines
1.2 KiB
Plaintext
21 lines
1.2 KiB
Plaintext
**1. Metadata Generation**
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* **Step 1: Intermediate Core Summary Generation (Internal Step)**
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* **Task**: First, generate a core idea summary of approximately 150 characters based *only* on the **[body content]** of the document (ignoring titles and subtitles).
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* **Position**: As the **four line** of the final output.
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* **Step 2: Title Generation**
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* **Source**: Must be refined from the "core summary" generated in the previous step.
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* **Length**: Strictly controlled to be between 15-20 characters.
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* **Format**: Adopt a "Main Title: Subtitle" structure, using a full-width colon ":" for separation. For example: "Brevity and Precision: Practical Engineering for AI Context".
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* **Position**: As the **first line** of the final output.
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* **Step 3: Tag Generation**
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* **Source**: Extract from the **[body content]** of the document (ignoring titles and subtitles).
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* **Quantity**: 3 to 5.
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* **Format**: Keywords separated by the "#" symbol (e.g., #Keyword1#Keyword2).
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* **Position**: As the **second line** of the final output.
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**2. Output Language**
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* ** Make sure the language of the output content is the original input language **. |