Update app.py

app.py

@@ -4,15 +4,28 @@ import numpy as np
 import base64
 import io
 from PIL import Image
+import logging
+
+# Configure logging
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
 
 app = Flask(__name__)
 
 # Initialize face detector
-face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + "haarcascade_frontalface_default.xml")
+try:
+    face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + "haarcascade_frontalface_default.xml")
+    logger.info("Face cascade classifier loaded successfully")
+except Exception as e:
+    logger.error(f"Error loading face cascade: {e}")
+    face_cascade = None
 
 def detect_faces(image_data, scale_factor=1.1):
     """Detect faces in image and return results"""
     try:
+        if face_cascade is None:
+            raise Exception("Face detector not initialized")
+            
         # Convert base64 image to numpy array
         image_data = image_data.split(',')[1]  # Remove data:image/jpeg;base64,
         image_bytes = base64.b64decode(image_data)
@@ -45,7 +58,6 @@ def detect_faces(image_data, scale_factor=1.1):
         # Simple age/gender estimation (placeholder)
         results = []
         for i, (x, y, w, h) in enumerate(faces):
-            # Very basic mock data - in production, use proper models
             import random
             ages = ["20-25", "26-32", "33-40", "41-50", "51-60"]
             genders = ["Male", "Female"]
@@ -60,10 +72,12 @@ def detect_faces(image_data, scale_factor=1.1):
         return f"data:image/jpeg;base64,{result_base64}", results
     
     except Exception as e:
+        logger.error(f"Error in detect_faces: {e}")
         raise e
 
 @app.route('/')
 def index():
+    logger.info("Index page accessed")
     return render_template('index.html')
 
 @app.route('/detect', methods=['POST'])
@@ -82,10 +96,16 @@ def detect():
             'face_data': face_data
         })
     except Exception as e:
+        logger.error(f"Error in detect endpoint: {e}")
         return jsonify({
             'success': False,
             'error': str(e)
         })
 
+@app.route('/health')
+def health():
+    return jsonify({'status': 'healthy', 'face_detector_loaded': face_cascade is not None})
+
 if __name__ == '__main__':
+    logger.info("Starting Flask application...")
     app.run(host='0.0.0.0', port=5000, debug=False)