app/deepface_runner.py

import os
import sys
import app.bootstrap  
import json
from app.face_emotion import extract_face_emotion
#from app.config import DEEPFACE_MODEL_PATH
from app.logger import log
#from deepface import DeepFace

def extract_emotion():
    if len(sys.argv) < 2:
        #print("__RESULT__")
        print(json.dumps({
            "status": "error",
            "error": "video_path não informado"
        }))
        sys.exit(1)

    video_path = sys.argv[1]

    try:
        final_emotion = extract_face_emotion(video_path)

        #print("__RESULT__")
        print(json.dumps({
            "status": "ok",
            "emotion": final_emotion
        }))

    except Exception as e:
        #print("__RESULT__")
        print(json.dumps({
            "status": "error",
            "error": str(e)
        }))
        sys.exit(1)


if __name__ == "__main__":
    extract_emotion()