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Once files have been ingested, they can be submitted to a workflow. Currently, only primary files can be submitted to workflows, but supplementary files will soon be able to be submitted. To use the Workflow Submissions feature, first search for the item(s) you wish to submit to a workflow. Only items that have been submitted to AMP via the Batch Ingest feature will appear in the search results. The search feature allows users to limit search results by media type (audio, video, or other). The search results appear as items, with individual files contained in the item visible via a dropdown menu on each item, with an "add file" button to the right of the filename. For convenience, each item has an "add all files" button that adds every file to the "Selected Files" box. Once files have been added, they can either be submitted directly to a workflow or saved as a bundle. Saving a grouping of files as a bundle can be very helpful when adding a large number of files at once. To select a workflow, click on the "Select Workflow" dropdown menu. Once the workflow has been selected, the "submit to workflow" button will enable, allowing you to submit the files. Once one or more files have been submitted, AMP will display a message telling you how many jobs were successfully submitted to the workflow, and how many failed. Additionally, if one or more files fail, the message will display detailed information about the file(s), including the collection name, item name, file ID, filename, and file label. 

If any files fail, please let the dev team know. Unfortunately, the message that displays after submitting files to a workflow does not specify precisely which files fail, so to determine this, you will need to find the file(s) on the Dashboard. If the file labels are the same as an existing file, this could be difficult; please let the dev team know if this happens, as they can search for the file in the database. They can also determine specifically why a file failed.

There are presently three working workflows: Transcript-NER-HMGM, Transcript-NER-no Human MGM, and NER HMGM for Corrected Transcripts. The primary difference between the first two is that the former has human intervention at several steps to improve performance/the quality of the final deliverables. These workflows achieve two primary goals: generating a transcript (whether the transcript is human-edited or not), and recognizing named entities (people, places, etc.) in said transcript. The third skips the transcript step entirely.

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