Starting new Session does not work

[ryanwesslen]

hi @jonnyfoka!

Thanks for testing out Prodigy. I'm sorry you're having issues. Hopefully we can find some resolution.

Unfortunately there could be many possible issues.

• What is your intended goal with multiple instances? Are you trying to have multiple users annotate the same data/task simultaneously? If so, are you aware of multi-user sessions? This is typically recommended if you have multi-users annotate the same data/task.

• What is your strategy on setting ports? Have you only used the default or have you modified ports?

• Do you have the same issues if you run commands through a terminal (instead of Jupyter)?

From this post, it seems like you may be trying to run multiple instances on the same port. This could explain why you're seeing a different instance.

setting up multiple annotators on Prodigy web

Hello, I would like to set up multiple annotators. I read in previous threads that the simplist way would be for me to run prodigy on different ports and assign each annotator a port and separate database. My question is, How can I open prodigy on different port numbers? When I run ner.manual twice I get ERROR: [Errno 10048] error while attempting to bind on address ('::1', 8080, 0, 0): only one usage of each socket address (protocol/network address/port) is normally permitted Secondly, i…

Related, here's another relevant post.

[Errno 10048] error while attempting to bind on address ('::1', 8081, 0, 0): only one usage of each socket address (protocol/network address/port) is normally permitted

I am working on a Windows 10 Laptop (by DELL). Prodigy and jupyterlab extension are successfully installed. This can be understood by the following: [Prodigy installed] [Prodigy jupyter extetion installed] Now, when I run prodigy in jupyterlab, the following error pops up: [Prodigy error] Now, I tried finding out the processes that run on port 8081, and resource monitor gives the following before running this cell: [resmonbefore] and after the error pops up: [resmonafter] Even when I t…

This first one suggests a few options that has worked for others:

• Trying a different port
• Reinstalling the murmurhash package
• Issues with how Jupyter / JupyterLab is handling the server. See link below for help.

[Errno 10048] error while attempting to bind on address ('::1', 8081, 0, 0): only one usage of each socket address (protocol/network address/port) is normally permitted

I think this comes down to how Jupyter / JupyterLab handles a server that's started in a cell and how it lets you terminate it. This thread has some approaches that might be more convenient than restarting the whole kernel:

Let me know if this helps or if you're able to figure out any further issues.