Update app.py

app.py

@@ -1,10 +1,11 @@
-from flask import Flask, render_template, request, Response, jsonify, redirect, url_for
+from flask import Flask, render_template, request, Response, jsonify
 import cv2
 import os
 import numpy as np
 import pickle
 from datetime import datetime
 
+# --- Flask App ---
 app = Flask(__name__)
 
 FACE_DATA_DIR = 'face_data'
@@ -18,7 +19,7 @@ face_cascade = cv2.CascadeClassifier(FACE_CASCADE_PATH)
 camera = None
 face_recognizer = cv2.face.LBPHFaceRecognizer_create()
 is_trained = False
-has_webcam = os.path.exists("/dev/video0")  # deteksi webcam
+has_webcam = os.path.exists("/dev/video0")  # deteksi webcam di server
 
 def load_face_data():
     global is_trained
@@ -142,7 +143,6 @@ def capture_face():
 
 @app.route('/upload_face', methods=['POST'])
 def upload_face():
-    """Upload foto untuk registrasi (tanpa webcam)"""
     name = request.form.get('name', '').strip()
     file = request.files.get('file')
 
@@ -190,5 +190,13 @@ def save_face(name, frame):
     load_face_data()
     return jsonify({'success': f'Wajah {name} berhasil didaftarkan'})
 
+# --- Wrapper untuk Hugging Face ---
+from fastapi import FastAPI
+from starlette.middleware.wsgi import WSGIMiddleware
+
+flask_app = app
+asgi_app = FastAPI()
+asgi_app.mount("/", WSGIMiddleware(flask_app))
+
 if __name__ == '__main__':
-    app.run(debug=True, host='0.0.0.0', port=5000)
+    flask_app.run(debug=True, host='0.0.0.0', port=5000)