FTP server error added.

docs/source/api_docs.rst

@@ -3,6 +3,16 @@
 API Documentation
 =================
 
+.. error::
+   6th Oct. 2020: Yale Astronomy's public FTP server is temporarily down. Yale
+   ITS is working to restore the service as soon as possible and it should 
+   be back online by Oct 17th. 
+
+   During this time, tutorials that depend on pulling files from the server will
+   not work as expected. Besides, in your code, if you are trying to use our 
+   trained models, this will fail as well. We apologize for this convenience. If your work is urgent, please reach out
+   to use and we can make the trained models available to you via Google Drive. 
+
 Both the Keras and TFLearn modules have similarly named functions with very similar parameters. Use the ``_predict_`` functions to perform
 predictions using our trained models or a model you trained from scratch. Use the ``_train_`` functions to train a model from scratch. Use the 
 ``_tl_`` functions to perform transfer learning on a previously trained model -- this can be our pre-trained models or a model that you trained.

docs/source/index.rst

@@ -16,9 +16,7 @@ About GaMorNet
 
    During this time, tutorials that depend on pulling files from the server will
    not work as expected. Besides, in your code, if you are trying to use our 
-   trained models, this will fail as well. 
-
-   We apologize for this convenience. If your work is urgent, please reach out
+   trained models, this will fail as well. We apologize for this convenience. If your work is urgent, please reach out
    to use and we can make the trained models available to you via Google Drive. 
 
 The Galaxy Morphology Network (GaMorNet) is a convolutional neural network that can classify galaxies as being disk-dominated, bulge-dominated or indeterminate based on their bulge to total light ratio. GaMorNet doesn't need a large amount of training data and can work across different data-sets. For more details about GaMorNet's design, how it was trained etc., please refer to :ref:`pub_and_other_data`.  

docs/source/tutorials.rst

@@ -2,6 +2,16 @@
 
 Tutorials
 =========
+.. error::
+   6th Oct. 2020: Yale Astronomy's public FTP server is temporarily down. Yale
+   ITS is working to restore the service as soon as possible and it should 
+   be back online by Oct 17th. 
+
+   During this time, tutorials that depend on pulling files from the server will
+   not work as expected. Besides, in your code, if you are trying to use our 
+   trained models, this will fail as well. We apologize for this convenience. If your work is urgent, please reach out
+   to use and we can make the trained models available to you via Google Drive. 
+
 
 We have created the following tutorials to get you quickly started with using GaMorNet. To look into the details of each GaMorNet function used in these tutorials, please look at the :ref:`api_docs`.
 

docs/source/usage_guide.rst

@@ -166,6 +166,16 @@ To turn GaMorNet's output probability values into class predictions, we use prob
 
 FTP Server
 ^^^^^^^^^^^
+.. error::
+   6th Oct. 2020: Yale Astronomy's public FTP server is temporarily down. Yale
+   ITS is working to restore the service as soon as possible and it should 
+   be back online by Oct 17th. 
+
+   During this time, tutorials that depend on pulling files from the server will
+   not work as expected. Besides, in your code, if you are trying to use our 
+   trained models, this will fail as well. We apologize for this convenience. If your work is urgent, please reach out
+   to use and we can make the trained models available to you via Google Drive. 
+
 
 All components of the public data release are hosted on the Yale Astronomy FTP server ``ftp.astro.yale.edu``. There are multiple ways you can access the FTP server
 and we summarize some of the methods below.