Perform Foundational Data, ML, and AI Tasks in Google Cloud

Challenge Lab

Qwiklabs [GSP323]

@prakashfoundation YouTube

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GSP323

Task 1:

Run a simple Dataflow job [To] Task 4: AI

code (A):

gsutil cp gs://cloud-training/gsp323/lab.csv . cat lab.csv gsutil cp gs://cloud-training/gsp323/lab.schema . cat lab.schema

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code (B)

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

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---------->>>>>>>Copy the token from the link provided

code (C):

gsutil cp result.json gs://YOUR_PROJECT-marking/task4-cnl.result

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code (D):

nano request.json

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code (E)

{ "config": { "encoding":"FLAC", "languageCode": "en-US" }, "audio": { "uri":"gs://cloud-training/gsp323/task4.flac" } }

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code (F):

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

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code (G):

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)

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code (H):

nano request.json

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code (I):

{ "inputUri":"gs://spls/gsp154/video/chicago.mp4", "features": [ "TEXT_DETECTION" ] }

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code (J):

curl -s -H 'Content-Type: application/json' \ -H "Authorization: Bearer $ACCESS_TOKEN" \ 'https://videointelligence.googleapis.com/v1/videos:annotate' \ -d @request.json

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code (K):

curl -s -H 'Content-Type: application/json' -H "Authorization: Bearer $ACCESS_TOKEN" 'https://videointelligence.googleapis.com/v1/operations/OPERATION_FROM_PREVIOUS_REQUEST' > result1.json

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code (L):

gsutil cp result1.json gs://YOUR_PROJECT-marking/task4-gvi.result