import os, requests


# Set API key ENV variable or replace with your own API key
API_KEY = os.getenv("AIORNOT_API_KEY")
VIDEO_ENDPOINT = "https://api.aiornot.com/v2/video/sync"

with open("video.mp4", "rb") as video_file:
    files = {"video": video_file}
    resp = requests.post(
        VIDEO_ENDPOINT,
        headers={"Authorization": f"Bearer {API_KEY}"},
        files=files,
        # Uncomment below to use only, excluding, or external_id params.
        # params={
        #   "only": ["ai_video", "ai_voice"],
        #   "excluding": ["ai_music"],
        #   "external_id": "my-tracking-id-123"
        # },
        # To enable deepfake detection (OFF by default), include it in the only param:
        # params={
        #   "only": ["deepfake_video"]
        # },
        timeout=120
    )
    if resp.status_code != 200:
        raise Exception(f"Failed to analyze video: {resp.status_code} {resp.text}")

    print(resp.json())

{
  "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "report": {
    "ai_video": {
      "is_detected": true,
      "confidence": 0.95
    },
    "ai_voice": {
      "is_detected": true,
      "confidence": 0.95
    },
    "ai_music": {
      "is_detected": true,
      "confidence": 0.95
    },
    "meta": {
      "duration": 120,
      "total_bytes": 362594,
      "md5": "db36d923800f6ca6b7f87cff8a19d1d1",
      "audio": "processed",
      "video": "processed"
    },
    "deepfake_video": {
      "is_detected": true,
      "confidence": 0.936413076150301,
      "no_faces_found": false
    }
  },
  "external_id": "<string>",
  "created_at": "2023-11-07T05:31:56Z"
}