First Expert Model call

import requests

url = "https://api.edenai.run/v3/universal-ai"
headers = {
    "Authorization": "Bearer YOUR_API_KEY",
    "Content-Type": "application/json"
}

payload = {
    "model": "text/moderation/google",
    "input": {
        "text": "This is a sample text to moderate for harmful content."
    }
}

response = requests.post(url, headers=headers, json=payload)
result = response.json()
print(result)

curl -X POST https://api.edenai.run/v3/universal-ai \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "text/moderation/google",
    "input": {
      "text": "This is a sample text to moderate for harmful content."
    }
  }'

const response = await fetch('https://api.edenai.run/v3/universal-ai', {
  method: 'POST',
  headers: {
    'Authorization': 'Bearer YOUR_API_KEY',
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    model: 'text/moderation/google',
    input: { text: 'This is a sample text to moderate for harmful content.' }
  })
});

const result = await response.json();
console.log(result);