Add application file

app.py

@@ -0,0 +1,31 @@
+# backend/app.py
+from flask import Flask, request, jsonify
+from flask_cors import CORS
+from model import DualModelDetector
+from PIL import Image
+
+app = Flask(__name__)
+CORS(app, resources={r"/api/*": {"origins": "*"}})
+
+# Initialize the Dual Expert
+detector = DualModelDetector()
+
+@app.route('/api/predict', methods=['POST'])
+def predict():
+    if 'image' not in request.files:
+        return jsonify({'error': 'No image uploaded'}), 400
+
+    file = request.files['image']
+    
+    try:
+        image = Image.open(file.stream)
+        # Returns the combined analysis
+        result = detector.predict(image)
+        return jsonify(result)
+
+    except Exception as e:
+        print(f"Server Error: {e}")
+        return jsonify({'error': str(e)}), 500
+
+if __name__ == '__main__':
+    app.run(host='0.0.0.0', port=5000, debug=True)