Perform Foundational Data, ML, and AI Tasks in Google Cloud: Challenge Lab
Commands for the Challenge Lab :
gsutil cp gs://cloud-training/gsp323/lab.csv .
cat lab.csv
gsutil cp gs://cloud-training/gsp323/lab.schema .
cat lab.schema
gcloud iam service-accounts create my-natlang-sa \
--display-name "my natural language service account"
gcloud iam service-accounts keys create ~/key.json \
--iam-account my-natlang-sa@${GOOGLE_CLOUD_PROJECT}.iam.gserviceaccount.com
export GOOGLE_APPLICATION_CREDENTIALS="/home/$USER/key.json"
gcloud auth activate-service-account my-natlang-sa@${GOOGLE_CLOUD_PROJECT}.iam.gserviceaccount.com --key-file=$GOOGLE_APPLICATION_CREDENTIALS
gcloud ml language analyze-entities --content="Old Norse texts portray Odin as one-eyed and long-bearded, frequently wielding a spear named Gungnir and wearing a cloak and a broad hat." > result.json
gcloud auth login
Token Copy
gsutil cp result.json gs://YOUR_PROJECT-marking/task4-cnl.result
nano request.json
{
"config": {
"encoding":"FLAC",
"languageCode": "en-US"
},
"audio": {
"uri":"gs://cloud-training/gsp323/task4.flac"
}
}
curl -s -X POST -H "Content-Type: application/json" --data-binary @request.json \
"https://speech.googleapis.com/v1/speech:recognize?key=${API_KEY}" > result.json
gsutil cp result.json gs://YOUR_PROJECT-marking/task4-gcs.result
gcloud iam service-accounts create quickstart
gcloud iam service-accounts keys create key.json --iam-account quickstart@${GOOGLE_CLOUD_PROJECT}.iam.gserviceaccount.com
gcloud auth activate-service-account --key-file key.json
export ACCESS_TOKEN=$(gcloud auth print-access-token)
nano request.json
{
"inputUri":"gs://spls/gsp154/video/chicago.mp4",
"features": [
"TEXT_DETECTION"
]
}
curl -s -H 'Content-Type: application/json' \
-H "Authorization: Bearer $ACCESS_TOKEN" \
'https://videointelligence.googleapis.com/v1/videos:annotate' \
-d @request.json
curl -s -H 'Content-Type: application/json' -H "Authorization: Bearer $ACCESS_TOKEN" 'https://videointelligence.googleapis.com/v1/operations/OPERATION_FROM_PREVIOUS_REQUEST' > result1.json
gsutil cp result1.json gs://YOUR_PROJECT-marking/task4-gvi.result