i dont need this

api/app.py

@@ -1,104 +0,0 @@
-from flask import Flask, request, jsonify
-from flask_cors import CORS
-import os
-import sys
-
-sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
-from api.predict import predict_review
-
-app = Flask(__name__)
-CORS(app)
-
-@app.route('/health', methods=['GET'])
-def health():
-    return jsonify({"status": "ok", "model": "ensemble-v1"}), 200
-
-@app.route('/predict', methods=['POST'])
-def predict():
-    try:
-        data = request.get_json()
-        
-        if not data or 'text' not in data:
-            return jsonify({"error": "missing 'text' field"}), 400
-        
-        reviewText = data['text']
-        
-        if not isinstance(reviewText, str):
-            return jsonify({"error": "'text' must be a string"}), 400
-        
-        if len(reviewText.strip()) == 0:
-            return jsonify({"error": "text cannot be empty"}), 400
-        
-        result = predict_review(reviewText)
-        
-        if "error" in result and result["prediction"] == "error":
-            return jsonify(result), 400
-        
-        return jsonify({
-            "prediction": result['prediction'],
-            "confidence": result['confidence'],
-            "is_fake": result['is_fake'],
-            "model_agreement": result['model_agreement'],
-            "fake_probability": result['fake_probability'],
-            "genuine_probability": result['genuine_probability'],
-            "length_category": result['length_category'],
-            "token_count": result['token_count']
-        }), 200
-        
-    except Exception as e:
-        return jsonify({"error": str(e)}), 500
-
-if __name__ == '__main__':
-    print("starting ensemble api server", flush=True)
-    print("loading models on first request...", flush=True)
-    app.run(host='0.0.0.0', port=5000, debug=False)from flask import Flask, request, jsonify
-from flask_cors import CORS
-import os
-import sys
-
-sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
-from api.predict import predict_review
-
-app = Flask(__name__)
-CORS(app)
-
-@app.route('/health', methods=['GET'])
-def health():
-    return jsonify({"status": "ok"}), 200
-
-@app.route('/predict', methods=['POST'])
-def predict():
-    try:
-        data = request.get_json()
-        
-        if not data or 'text' not in data:
-            return jsonify({"error": "missing 'text' field"}), 400
-        
-        reviewText = data['text']
-        
-        if not isinstance(reviewText, str):
-            return jsonify({"error": "'text' must be a string"}), 400
-        
-        if len(reviewText.strip()) == 0:
-            return jsonify({"error": "text cannot be empty"}), 400
-        
-        result = predict_review(reviewText)
-        
-        return jsonify({
-            "prediction": result['prediction'],
-            "confidence": result['confidence'],
-            "is_fake": result['is_fake'],
-            "model_agreement": result['model_agreement'],
-            "fake_probability": result['fake_probability'],
-            "genuine_probability": result['genuine_probability'],
-            "length_category": result['length_category'],
-            "token_count": result['token_count']
-        }), 200
-        
-    except Exception as e:
-        return jsonify({"error": str(e)}), 500
-
-if __name__ == '__main__':
-    print("starting ensemble api server")
-    print("loading models on first request...")
-    app.run(host='0.0.0.0', port=5000, debug=False)