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app.py

@@ -10,7 +10,7 @@ logging.basicConfig(level=logging.DEBUG, format='%(asctime)s - %(levelname)s - %
 
 app = Flask(__name__)
 #CORS(app)
-CORS(app, resources={r"/predict":{"origins":["*"]}, r"/Predict_BatchProcess":{"origins":["*"]}})
+CORS(app, resources={r"/*":{"origins":"*"}})
 
 try:
   model_gradbosot = joblib.load('gradboost_RSCV.joblib')
@@ -84,6 +84,7 @@ def predict():
 
 @app.route('/Predict_BatchProcess', methods=['POST'])
 def Predict_BatchProcess():
+  logging.debug(f"Request headers : {request.headers}")
   if 'file' not in request.files:
     return jsonify({'Exception': 'No files provided for batch processing'}),400
 

requirements.txt

@@ -1,11 +1,11 @@
-pandas==2.2.2
-numpy==2.0.2
+pandas==2.0.3
+numpy==1.25.2
 scikit-learn==1.6.1
 xgboost==2.1.4
-joblib==1.4.2
+joblib==1.3.2
 flask==2.3.3
 gunicorn==20.1.0
 requests==2.28.1
 uvicorn[standard]
 streamlit==1.43.2
-flask-cors==4.0.1
+flask-cors==4.0.0