ssh AWS, Jupyter Notebook not showing up on web browser - google-chrome

Question

I am trying to use ssh connecting to AWS "Deep Learning AMI for Amazon Linux", and everything works fine except Jupyter Notebook. This is what I got:
ssh -i ~/.ssh/id_rsa ec2-user#yy.yyy.yyy.yy
gave me
Last login: Wed Oct 4 18:01:23 2017 from 67-207-109-187.static.wiline.com
=============================================================================
__| __|_ )
_| ( / Deep Learning AMI for Amazon Linux
___|\___|___|
The README file for the AMI ➜➜➜➜➜➜➜➜➜➜➜➜➜➜➜➜➜➜➜➜ /home/ec2-user/src/README.md
Tests for deep learning frameworks ➜➜➜➜➜➜➜➜➜➜➜➜ /home/ec2-user/src/bin
=============================================================================
1 package(s) needed for security, out of 3 available
Run "sudo yum update" to apply all updates.
Amazon Linux version 2017.09 is available.
Then
[ec2-user#ip-xxx-xx-xx-xxx ~]$ jupyter notebook
[I 16:32:14.172 NotebookApp] Writing notebook server cookie secret to /home/ec2-user/.local/share/jupyter/runtime/notebook_cookie_secret
[I 16:32:14.306 NotebookApp] Serving notebooks from local directory: /home/ec2-user
[I 16:32:14.306 NotebookApp] 0 active kernels
[I 16:32:14.306 NotebookApp] The Jupyter Notebook is running at: http://localhost:8888/?token=74e2ad76eee284d70213ba333dedae74bf043cce331257e0
[I 16:32:14.306 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
[W 16:32:14.307 NotebookApp] No web browser found: could not locate runnable browser.
[C 16:32:14.307 NotebookApp]
Copy/paste this URL into your browser when you connect for the first time,
to login with a token:
http://localhost:8888/?token=74e2ad76eee284d70213ba333dedae74bf043cce331257e0
Copying http://localhost:8888/?token=74e2ad76eee284d70213ba333dedae74bf043cce331257e0 and get
"can’t establish a connection to the server at localhost:8888." on Firefox,
"This site can’t be reached localhost refused to connect." on Chrome
Further,
jupyter notebook --ip=yy.yyy.yyy.yy --port=8888 gives
Traceback (most recent call last):
File "/usr/bin/jupyter-notebook", line 11, in <module>
sys.exit(main())
File "/usr/lib/python3.4/dist-packages/jupyter_core/application.py", line 267, in launch_instance
return super(JupyterApp, cls).launch_instance(argv=argv, **kwargs)
File "/usr/lib/python3.4/dist-packages/traitlets/config/application.py", line 657, in launch_instance
app.initialize(argv)
File "<decorator-gen-7>", line 2, in initialize
File "/usr/lib/python3.4/dist-packages/traitlets/config/application.py", line 87, in catch_config_error
return method(app, *args, **kwargs)
File "/usr/lib/python3.4/dist-packages/notebook/notebookapp.py", line 1296, in initialize
self.init_webapp()
File "/usr/lib/python3.4/dist-packages/notebook/notebookapp.py", line 1120, in init_webapp
self.http_server.listen(port, self.ip)
File "/usr/lib64/python3.4/dist-packages/tornado/tcpserver.py", line 142, in listen
sockets = bind_sockets(port, address=address)
File "/usr/lib64/python3.4/dist-packages/tornado/netutil.py", line 197, in bind_sockets
sock.bind(sockaddr)
OSError: [Errno 99] Cannot assign requested address
Note sure this will be helpful (Is it only for MXNet ? I am not familiar with MXNet) Jupyter_MXNet

Answer 1

localhost will only work when trying to use jupyter (or well, anything) from the machine itself. In this case, it seems you're trying to access it from another machine.
You can do that with the switch --ip=a.b.c.d, where a.b.c.d is the public address of your EC2 instance (or using 0.0.0.0 to make it listen in all interfaces.)
You can also use --port=X to define a particular port number to listen to.
Just remember that your security group must allow access from the outside into your choice of IP/Port.
For example:
jupyter notebook --ip=a.b.c.d --port=8888

Answer 2

Well, there are few things happening here.
ISSUE # 1 - Localhost
As Y. Hernandez said you are trying to access the URL incorrectly. You should replace localhost with the public IP address of your AWS VM (same IP you used to ssh into).
ISSUE # 2 - Jupyter needs proper configuration
But even then, this might not run because Jupyter has not been completely configured out of the box, you are using Deep Learning AMI for Amazon Linux. You need complete these following steps (of course there are multiple others of doing the same thing - and this is just one such way).
Configure Jupyter Notebook -
$ jupyter notebook --generate-config
Create certifications for our connections in the form of .pem files.
$ mkdir certs
$ cd certs
$ sudo openssl req -x509 -nodes -days 365 -newkey rsa:1024 -keyout mycert.pem -out mycert.pem
You’ll get asked some general questions after running that last line. Just fill them out #with some general information or keep pressing enter.
Next we need to finish editing the Jupyter Configuration file we created earlier. So change to .jupyter folder. For this, you can use nano or vi or your fav editor.
$ cd ~/.jupyter/
$ nano jupyter_notebook_config.py
Insert this code at the top of the file -
—insert begin——
c = get_config()
# Notebook config this is where you saved your pem cert
c.NotebookApp.certfile = u'/home/ubuntu/certs/mycert.pem'
# Run on all IP addresses of your instance
c.NotebookApp.ip = '*'
# Don't open browser by default
c.NotebookApp.open_browser = False
# Fix port to 8888
c.NotebookApp.port = 8888
-insert end——
save file
cd out of .jupyter folder
$ cd
You can set up a separate Notebook folder for Jupyter or from you anywhere you
choose, you can launch Jupyter
$ jupyter notebook
On your browser go to this url using your vm IP address and the token given in your terminal
http://VM-IPAddress:8888/?token=72385d6d854bb78b9b6e675f171b90afad47b3edcbaa414b
IF you get an SSL error, then you use https instead of http.
https://VM-IPAddress:8888/?token=72385d6d854bb78b9b6e675f171b90afad47b3edcbaa414b
ISSUE # 3 - Won't be able to launch Python interpreter.
if you intend to run Python 2 or 3, you need to upgrade iPython. If not, once you launch Jupyter, you will not see an option to launch Python interpreter. You will only see options for Text, Folder and Terminal.
Upgrade iPython. For this, shutdown your Jupyter and run this upgrade command.
$ sudo pip install ipython --upgrade
Relaunch Jupyter.

Answer 3

In Amazon DL AMIs, these occurs sometimes. Do
jupyter notebook password
set notebook password and do:
sudo jupyter notebook --ip 0.0.0.0 --port 8888 --allow-root
allow root is not necessary, but it allows copy/paste as a root user.