{
  "provider": "Anthropic",
  "confidence": 87.42,
  "top_providers": [
    { "name": "Anthropic", "confidence": 87.42 },
    { "name": "OpenAI",    "confidence": 6.15  },
    { "name": "Google",    "confidence": 3.28  },
    { "name": "xAI",       "confidence": 1.74  },
    { "name": "DeepSeek",  "confidence": 0.89  }
  ]
}

curl -X POST https://huggingface.co/spaces/CompactAI/AIFinder/v1/classify \
  -H "Content-Type: application/json" \
  -d '{
    "text": "I would be happy to help you with that! Here is a detailed explanation of how neural networks work...",
    "top_n": 5
  }'

import re
import requests

API_URL = "https://huggingface.co/spaces/CompactAI/AIFinder/v1/classify"

def strip_think_tags(text):
    """Remove <think>/<thinking> blocks before classifying."""
    return re.sub(r"<think(?:ing)?>.*?</think(?:ing)?>",
                  "", text, flags=re.DOTALL).strip()

text = """I'd be happy to help! Neural networks are
computational models inspired by the human brain..."""

# Strip thought tags first (the API does this too,
# but saves bandwidth to do it client-side)
cleaned = strip_think_tags(text)

response = requests.post(API_URL, json={
    "text": cleaned,
    "top_n": 5
})

data = response.json()
print(f"Provider: {data['provider']}  ({data['confidence']:.1f}%)")
for p in data["top_providers"]:
    print(f"  {p['name']:<20s} {p['confidence']:5.1f}%")

const API_URL = "https://huggingface.co/spaces/CompactAI/AIFinder/v1/classify";

function stripThinkTags(text) {
  return text.replace(/<think(?:ing)?>[\s\S]*?<\/think(?:ing)?>/g, "").trim();
}

async function classify(text, topN = 5) {
  const cleaned = stripThinkTags(text);
  const res = await fetch(API_URL, {
    method: "POST",
    headers: { "Content-Type": "application/json" },
    body: JSON.stringify({ text: cleaned, top_n: topN })
  });
  return res.json();
}

// Usage
classify("I'd be happy to help you understand...")
  .then(data => {
    console.log(`Provider: ${data.provider} (${data.confidence}%)`);
    data.top_providers.forEach(p =>
      console.log(`  ${p.name}: ${p.confidence}%`)
    );
  });

const API_URL = "https://huggingface.co/spaces/CompactAI/AIFinder/v1/classify";

async function classify(text, topN = 5) {
  const cleaned = text
    .replace(/<think(?:ing)?>[\s\S]*?<\/think(?:ing)?>/g, "")
    .trim();

  const res = await fetch(API_URL, {
    method: "POST",
    headers: { "Content-Type": "application/json" },
    body: JSON.stringify({ text: cleaned, top_n: topN })
  });

  if (!res.ok) {
    const err = await res.json();
    throw new Error(err.error || `HTTP ${res.status}`);
  }
  return res.json();
}

// Example
(async () => {
  const result = await classify(
    "Let me think about this step by step...",
    3
  );
  console.log(result);
})();