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CouncilDataProject/cookiecutter-cdp-deployment: Whisper and GCP Compute Runners

Authors: Brown, Eva Maxfield; Huynh, To; Na, Isaac; Ledbetter, Brian; Ticehurst, Hawk; Liu, Sarah; Gilles, Emily; +4 Authors

CouncilDataProject/cookiecutter-cdp-deployment: Whisper and GCP Compute Runners

Abstract

CouncilDataProject cdp-backend v4.0.0 :warning: :warning: This is a major breaking release. Instance maintainers should update the instance with just update-from-cookiecutter. :warning: :warning: Council Data Project is a backend, frontend, and cookiecutter deployment for creating a whole database, storage system, and website, for archiving, exploring, and tracking municipal council action. This library, cookiecutter-cdp-deployment ties together multiple projects to make a single deployable infrastructure. v4.0.0 There are two main changes for this release. We are swapping out Google Speech-to-Text for OpenAIs Whisper. Specifically, we are using a forked version called faster-whisper. This new speech-to-text model performs much better (ranging from ~3.6% word-error-rate to ~9% word-error-rate on long audio files). To use this new model efficiently, we need access to a GPU. Since GitHub Actions do not have GPUs available, we are using a system which spins up a Google Cloud Compute Engine instance, connects to it, runs our job, and then tears it down all in the course of a single GitHub Action workflow. From multiple tests, this should be a reduction in cost and processing time however with this release we will do more testing to get a better estimate. We have switched from MIT to MPLv2 License. Unless you are trying to fork our code and take it private, this won't affect you.

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Keywords

JavaScript, open-data, municipal-governance, data-archival, open-infrastructure, open-government, civic-technology, natural-language-processing, Python

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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