replace bash script to docker-compose to build server

predict.py

@@ -10,7 +10,7 @@ import mlflow
 if __name__ == '__main__':
 
     # set MLflow server
-    mlflow.set_tracking_uri('http://127.0.0.1:5000')
+    mlflow.set_tracking_uri('http://127.0.0.1:5001')
 
     # load production model
     model = mlflow.pytorch.load_model('models:/fortune_predict_model/production')