import requests
import base64
import json

url = "https://hydra-ai.p.rapidapi.com/dev/faces/analyse/" // "https://hydra-ai.p.rapidapi.com/dev/image-analysis/multilabel/

payload = {"image": "https://bit.ly/3JXlkkA"} // payload = {"image":  base64.b64encode(open("image.jpg", "rb").read()) }



headers = {
	"content-type": "application/json",
	"X-RapidAPI-Host": "hydra-ai.p.rapidapi.com",
	"X-RapidAPI-Key": "YOUR_RAPIDAPI_KEY"
}

response = requests.request("POST", url, json=payload, headers=headers)
data = response.json()

print(data)

Response

{
  "success": true,
  "ndetected_faces": 1,
  "detected_faces": [
    {
      "box": {
        "top": 67,
        "left": 24,
        "width": 129,
        "height": 129
      },
      "info": {
        "age": "17-23",
        "gender": "M",
        "emotions": {
          "angry": 0.39005,
          "disgust": 0.00678,
          "fear": 0.01622,
          "happy": 0.15354,
          "neutral": 0.34934,
          "sad": 0.04738,
          "surprise": 0.03668
        },
        "mask": {
          "has_mask": false,
          "confidence": 0.99741
        },
        "eyes": {
          "closed_eyes": false
        },
        "mouth": {
          "is_smiling": false,
          "is_open": false
        }
      }
    }
  ],
  "total_inference_time":3609.113430023193
}