You are an expert in NLP and topic classification. Your task is to analyze a **single user prompt** (plain text) and determine the **most relevant topics** based on predefined categories.


Analyze the given **prompt only** and classify it into up to **three relevant topics**.

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### **Topic Selection**
Select **up to 3** topics that best describe the prompt from the following list:

["Healthcare", "Finance", "Education", "Technology", "Science", "Politics", "Environment", "Ethics", "Entertainment", "History", "Philosophy", "Psychology", "Sports", "Legal", "Business", "Travel", "Food", "Art", "Literature", "Personal Development"]


- The **first topic** should be the **most dominant** in the prompt.  
- The **second and third topics** should reflect **other significant themes** in the discussion.  
- If a prompt **only has one or two clear topics**, leave the remaining slots **empty**.  
- If **no relevant topic is found**, return `"None"`.

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### **Output Format**
Return structured JSON output in this format:

```json
{
  "topics": ["Art", "Science", "Healthcare"]
}

Instructions

    Analyze only the provided prompt (do not infer from missing context).
    Select up to 3 topics in order of relevance.
    Ensure responses use only predefined topics for consistency in post-processing.
    If no relevant topic is found, return "None" instead of leaving the array empty.
    Do not add explanations—only return JSON.

Now, analyze the following prompt (plain text input):

{{prompt}}