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@${GOOGLE_CLOUD_PROJECT}.iam.gserviceaccount.com
export GOOGLE_APPLICATION_CREDENTIALS="/home/USER/key.json"
gcloud ml language analyze-entities \
--content="Old Norse texts portray Odin as one-eyed and long-bearded, frequently wielding a spear named Gungnir and wearing a cloak and a broad hat." > result.json
gsutil cp result.json gs://<YOUR_PROJECT>/task4-cnl.result
Create an API key and export API_KEY variable in cloud shell. Create the file request.json with:
{
"config": {
"encoding":"FLAC",
"languageCode": "en-US"
},
"audio": {
"uri":"gs://cloud-training/gsp323/task4.flac"
}
}
curl -s -X POST -H "Content-Type: application/json" \
--data-binary @request.json \
"https://speech.googleapis.com/v1/speech:recognize?key=${API_KEY}" > result.json
gsutil cp result.json gs://YOUR_PROJECT/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)
vim response.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 @response.json
// You will receive the operation name in the output, you will need it new step.
curl -s -H 'Content-Type: application/json' \
-H "Authorization: Bearer $ACCESS_TOKEN" \
'https://videointelligence.googleapis.com/v1/operations/<OPERATION_FROM_PREVIOUS_REQUEST>'
// Replace your operation name here which you saved in above step.
gsutil cp result.json gs://YOUR_PROJECT/task4-gvi.result