Tools for automatic frame discovery and labeling based on topic modeling and deep learning, made widely accessible to researchers from non computational backgrounds.
The app.app_context().push() was needed to use url_for() in a background task. This wasn't possible because importing flask_app.app from flask_app.modeling.scheduler would have caused a cyclic import. Restructured files a bit to avoid that.
Also added templates for emails to send in case of errors. Not actually sending them right now though.
The
app.app_context().push()was needed to useurl_for()in a background task. This wasn't possible because importingflask_app.appfromflask_app.modeling.schedulerwould have caused a cyclic import. Restructured files a bit to avoid that.Also added templates for emails to send in case of errors. Not actually sending them right now though.