new app.py

app.py

@@ -0,0 +1,104 @@
+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)