Prepare Data for ML APIs on Google Cloud: Challenge Lab Reviews
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    Prepare Data for ML APIs on Google Cloud: Challenge Lab Reviews

    179010 reviews

    Saving the initial result from the Google Cloud Speech-to-Text API and Cloud Natural Language API directly into the Cloud Shell file system saves it as type 'application/octet', I recall. For some reason, if you then directly upload this to the Cloud Storage bucket using `gcloud storage cp XXXX.result gs://BUCKET_NAME/XXXX.result`, the lab cannot seem to read the file and acknowledge the step completion. It might be good to have a warning that the output must first be output into a JSON file in the Cloud Shell filesystem, or that the desired result should be in the bucket as `application/json`.

    Tuany V. · Reviewed 15 minutes ago

    Nestor Stiven P. · Reviewed 23 minutes ago

    Ashley L. · Reviewed 39 minutes ago

    Rodrigo A. · Reviewed about 1 hour ago

    For the STT and NLP API, if I upload file to GS as a different type it cannot get point. It should specify file type becomes application/json

    Seongeun S. · Reviewed about 1 hour ago

    NAYA M. · Reviewed about 2 hours ago

    BIEN

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    ok

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