Python Tensorflow classification model based on text input

A tensorflow classification model using convulutional neural networks must be written in python. The code has following process steps: 1) Create, train & save a model based on a CSV file that contains categorical variables, continuous variables and 1 label for classification (I will provide CSV example file) 2) Open a saved model and predict values for the variables that are stored in a CSV file. Project requirements: 1) All code must be written in a [login to view URL] file. 2) Create, train and save a model must be done through a method in the [login to view URL] file. After saving the model, A model ID must be generated which can be used to open the model. 3) Predicting values must be done through a different method in the [login to view URL] file. There can only be 2 parameter for this method: the model ID, and the CSV containing the values that must be predicted. A saved model must be opened using the model ID, after this the values can be predicted using the model.