Hotpepper requires paths to four resources:
To learn more about configuring Hotpepper and see a sample configuration file, visit Get and Configure Deepgram Products.
Hotpepper can be configured to allow users labeling at level L1 to submit assigned files to an on-premise Deepgram Speech Engine for automatic speech recognition (ASR) and transcription. When ASR is used, the Hotpepper server sends the assigned audio file to the configured Speech API endpoint, parses a transcript from the results, and automatically populates the Transcript textarea of the labeling view with the returned transcript. In our experience, users value this feature highly when labeling.
To learn more about setting up automatic transcription for data labeling, visit Get and Configure Deepgram Products.
To add the first administrator, configure the following environment variables in the Docker Compose deployment files:
To see a sample Docker Compose file for Hotpepper, visit Deploy Deepgram Products.
To avoid losing all transcripts produced by Hotpepper, back up both your dataset directories and the Hotpepper database. Hotpepper uses a SQLite database, so you only need to copy the configured database file to a secure location.