GitHub PR here

Closing this as PR is merged. Will open new tasks for other significant/relevant changes to the stats page

Made a PR here

Currently, the page looks like this.

Yes, my sentence was rather irregularly framed, but it does look like an adoption problem. Until then, there seems to be no way to show most audio files graphically :/

I see there are two edits, but that is pretty weird, because I tested with just one click on the upload button. And the edit that adds the license is also attributed to the OAuth consumer

The fair use template seems to be already being uploaded when the file is being uploaded. It seems to be just a question of changing the UI, if I'm not wrong?

Points that caused confusion:

• Lack of clarity on Wikishootme that made us believe that the tool was making API requests that fetched image data from Wikimedia Commons when in reality it was fetching all items from Wikimedia Commons. The response, hence, includes images (of various formats like jpeg, png, etc.), videos (of various formats like mp4, webm, etc.), and audio files (of formats ogg, etc.)
• Audio files on Commons do not have location information. Hence, this failed to show up in geosearch results. This led to forming other queries like the ones mentioned in above comments. Although it returns audio files, we cannot use it for the tool as it lacks the required location information to plot it on the map.

Reopening this task as the model needs to be added to Wikisource as well

Hi @Frostly, removing you from this task because it has been stale for a while. Feel free to re-assign it to yourself and give us an update if you are still working on it!

Hi @AFZL210, removing you from this task since it has been stale for quite a while. Feel free to re-assign it to yourself if you are still working on it!

Hi @AFZL210, removing you from this task because it has been stale for quite a while. Feel free to re-assign it to yourself if you are still working on it!

PR by @Okerekechinweotito merged

Hi @Aklapper, thanks for the reminder, but a patch has been merged for this task. So marking this as resolved.

Hello, the patch to make the models available on wiki has been made here. I have kept the Printed Ukrainian 20th century as the primary model. The models will be available once the patch is merged.

GitHub PR here

GitHub PR here

GitHub PR here

Made a PR here.

Reference for what happens if the request is aborted: https://stackoverflow.com/questions/19537680/is-it-possible-to-detect-html-form-submit-cancelation

Currently, the FAQ data is available in utils/constants.js (see).

GitHub PR here

Yeah, looked like I was not saving the cookie properly. Found my answer on the discussion page of API:Login, though.

I ran into this error, is there any fix known for this yet?

GitHub PR here

GitHub PR here

Sure, that works as well

GitHub PR for the WSContest tool is here

GitHub PR here

It's back up now, closing this task as Resolved

Got this error now

Message:	
Uncaught PHP Exception Symfony\Component\HttpClient\Exception\TransportException: "Idle timeout reached for "https://transkribus.eu/processing/v1/processes"." at /var/www/tool/vendor/symfony/http-client/Chunk/ErrorChunk.php line 65

certain times the Transkribus service is overloaded

Ah, I was getting a timeout using Transkribus as well yesterday, I thought it might be a transient issue

This is what we get after the debugging output was integrated

CRITICAL
Message:

This task seems to be invalid now as the URL seems to be working alright. It's probably a cache issue, and the cache might have been cleared up since then, i.e. the result was cached before EngineResult existed and once the cache was cleared, it started working alright.

GitHub PR for wikisource/api here

GitHub PR here

So by default, Transkribus uses a line detection model called Mixed Line Orientation (MLO). A user on, say, Balinese Wikisource has two options

• Choose not to use line detection model on wiki => Transkribus uses MLO in the background
• Choose to use line detection model on wiki => Transkribus uses the line detection model configured on that Wikisource (a custom line detection model for that language/writing style)

GitHub PR here