# RD Ramp-up:

## Evaluate GPTZero
### Code:

pip install requests

import requests, json

url = "https://api.gptzero.me/v2/predict/text"

headers = {
    "accept": "application/json",
    "Content-Type": "application/json",
    "X-Api-Key": "d6bf5bfad7e644e484667c9999dc3d5a",
}

json_data = {
    "document": "Hello. I am a human.",
}

response = requests.post(
    url,
    headers=headers,
    json=json_data,
)

parsed = json.loads(response.content.decode("utf-8"))

print(json.dumps(parsed, indent=2))

### Response:

{
  "documents": [
    {
      "average_generated_prob": 0,
      "completely_generated_prob": 0.023188405797101436,
      "overall_burstiness": 53.03300857543945,
      "paragraphs": [
        {
          "completely_generated_prob": 0.023188405797101436,
          "num_sentences": 2,
          "start_sentence_index": 0
        }
      ],
      "sentences": [
        {
          "generated_prob": 0,
          "perplexity": 12,
          "sentence": "Hello."
        },
        {
          "generated_prob": 0,
          "perplexity": 87,
          "sentence": "I am a human."
        }
      ]
    }
  ]
}