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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) |