Cloud Study Jam - ML API 4
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Awwvision: Cloud Vision API from a Kubernetes Cluster Classify Images of Clouds in the Cloud with AutoML Vision Implementing an AI Chatbot with Dialogflow
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Cloud Study Jam - ML API 4
- 1. CLOUD STUDY JAM ML API GDG Taichung Duran Hsieh
- 2. AGENDA • Requirements • Awwvision: Cloud Vision API from a Kubernetes Cluster • Classify Images of Clouds in the Cloud with AutoML Vision • Implementing an AI Chatbot with Dialogflow • Q&A
- 3. REQUIREMENTS
- 4. 4Presented By: Duran Hsieh REQUIREMENTS • 取得API KET，寫入環境變數 • export API_KEY=<YOUR_API_KEY> • 專案名稱寫入 環境變數 • export PROJECT=<your_project_name> • 將建立Storage bucket，將圖片放入 storage • 建立 request.json • 呼叫 API 取得結果
- 5. AWWVISION: CLOUD VISION API FROM A KUBERNETES CLUSTER
- 6. 6Presented By: Duran Hsieh AWWVISION: CLOUD VISION API FROM A KUBERNETES CLUSTER • Create a Kubernetes Engine cluster • 在us-central1-a建立群集: gcloud config set compute/zone us-central1-a • 啟動指令: gcloud container clusters create awwvision --num-nodes 2 --scopes cloud-platform
- 7. 7Presented By: Duran Hsieh AWWVISION: CLOUD VISION API FROM A KUBERNETES CLUSTER • 等待並檢視建立進度 • 透過憑證啟動容器群集: gcloud container clusters get-credentials awwvision • 透過 kubectl command-line 工具確認運作正常: kubectl cluster-info
- 8. 8Presented By: Duran Hsieh AWWVISION: CLOUD VISION API FROM A KUBERNETES CLUSTER • 取得範例 git clone https://github.com/GoogleCloudPlatform/cloud- vision • 佈署範例: cd cloud-vision/python/awwvision (變更目錄) make all • 檢查 k8s 資源: kubectl get pods • 列出正在運作的佈署: kubectl get deployments -o wide
- 9. 9Presented By: Duran Hsieh AWWVISION: CLOUD VISION API FROM A KUBERNETES CLUSTER • 取得範例 git clone https://github.com/GoogleCloudPlatform/cloud- vision • 佈署範例: cd cloud-vision/python/awwvision (變更目錄) make all • 檢查 k8s 資源: kubectl get pods • 列出正在運作的佈署: kubectl get deployments -o wide
- 10. 10Presented By: Duran Hsieh AWWVISION: CLOUD VISION API FROM A KUBERNETES CLUSTER • 取得外部 IP kubectl get svc awwvision-webapp • 檢查進度: cd cloud-vision/python/awwvision (變更目錄) make all • 透過外部 IP 連接到網站，檢視網站
- 11. CLASSIFY IMAGES OF CLOUDS IN THE CLOUD WITH AUTOML VISION
- 12. 12Presented By: Duran Hsieh CLASSIFY IMAGES OF CLOUDS IN THE CLOUD WITH AUTOML VISION • Set up AutoML Vision • APIs & Services > Library > Cloud AutoML API
- 13. 13Presented By: Duran Hsieh CLASSIFY IMAGES OF CLOUDS IN THE CLOUD WITH AUTOML VISION • 設定環境變數 • export PROJECT_ID=$DEVSHELL_PROJECT_ID • export QWIKLABS_USERNAME=<QWIKLABS_USERNAME>
- 14. 14Presented By: Duran Hsieh CLASSIFY IMAGES OF CLOUDS IN THE CLOUD WITH AUTOML VISION • 給予權限
- 15. 15Presented By: Duran Hsieh CLASSIFY IMAGES OF CLOUDS IN THE CLOUD WITH AUTOML VISION • 建立 Storage Bucket gsutil mb -p $PROJECT_ID -c regional -l us-central1 gs://$PROJECT_ID-vcm/ • 設定環境變數 • export BUCKET=YOUR_BUCKET_NAME • 複製圖片到你的 Storage gsutil -m cp -r gs://automl-codelab-clouds/* gs://${BUCKET}
- 16. 16Presented By: Duran Hsieh CLASSIFY IMAGES OF CLOUDS IN THE CLOUD WITH AUTOML VISION • 建立 Storage Bucket gsutil mb -p $PROJECT_ID -c regional -l us-central1 gs://$PROJECT_ID-vcm/ • 設定環境變數 • export BUCKET=YOUR_BUCKET_NAME • 複製圖片到你的 Storage gsutil -m cp -r gs://automl-codelab-clouds/* gs://${BUCKET}
- 17. 17Presented By: Duran Hsieh CLASSIFY IMAGES OF CLOUDS IN THE CLOUD WITH AUTOML VISION
- 18. 18Presented By: Duran Hsieh CLASSIFY IMAGES OF CLOUDS IN THE CLOUD WITH AUTOML VISION • 建立 dataset • 複製檔案到 Cloud Shell instance gsutil cp gs://automl-codelab-metadata/data.csv . • 字串處哩，取代 sed -i -e "s/placeholder/${BUCKET}/g" ./data.csv • 複製到 storage gsutil cp ./data.csv gs://${BUCKET}
- 19. 19Presented By: Duran Hsieh CLASSIFY IMAGES OF CLOUDS IN THE CLOUD WITH AUTOML VISION • AutoML UI 介面加入 dataset
- 20. 20Presented By: Duran Hsieh CLASSIFY IMAGES OF CLOUDS IN THE CLOUD WITH AUTOML VISION • AutoML UI 介面加入 dataset
- 21. 21Presented By: Duran Hsieh CLASSIFY IMAGES OF CLOUDS IN THE CLOUD WITH AUTOML VISION • AutoML UI 介面
- 22. 22Presented By: Duran Hsieh CLASSIFY IMAGES OF CLOUDS IN THE CLOUD WITH AUTOML VISION • AutoML UI 介面
- 23. 23Presented By: Duran Hsieh CLASSIFY IMAGES OF CLOUDS IN THE CLOUD WITH AUTOML VISION • AutoML UI 介面
- 24. IMPLEMENTING AN AI CHATBOT WITH DIALOGFLOW
- 25. 25Presented By: Duran Hsieh IMPLEMENTING AN AI CHATBOT WITH DIALOGFLOW • 前置作業
- 26. 26Presented By: Duran Hsieh IMPLEMENTING AN AI CHATBOT WITH DIALOGFLOW • 名詞解釋
- 27. 27Presented By: Duran Hsieh IMPLEMENTING AN AI CHATBOT WITH DIALOGFLOW • 名詞解釋
- 28. 28Presented By: Duran Hsieh IMPLEMENTING AN AI CHATBOT WITH DIALOGFLOW • 名詞解釋
- 29. 29Presented By: Duran Hsieh IMPLEMENTING AN AI CHATBOT WITH DIALOGFLOW • 名詞解釋
- 30. 30Presented By: Duran Hsieh IMPLEMENTING AN AI CHATBOT WITH DIALOGFLOW • 建立 Dialogflow: • Navigation menu > APIs & Services > Dashboard • Enable APIs and Services > 尋找並建立 Dialogflow
- 31. 31Presented By: Duran Hsieh IMPLEMENTING AN AI CHATBOT WITH DIALOGFLOW • Dialogflow.com 透過剛剛的Google 帳號註冊
- 32. 32Presented By: Duran Hsieh IMPLEMENTING AN AI CHATBOT WITH DIALOGFLOW • 建立 Agent: • Agent name: Helpdesk • Default Time zone: America/Denver • Google Project: Your project Id
- 33. 33Presented By: Duran Hsieh IMPLEMENTING AN AI CHATBOT WITH DIALOGFLOW • 建立 Intent: • Default Welcome Intent
- 34. 34Presented By: Duran Hsieh IMPLEMENTING AN AI CHATBOT WITH DIALOGFLOW • 建立 Training Phreases:
- 35. 35Presented By: Duran Hsieh IMPLEMENTING AN AI CHATBOT WITH DIALOGFLOW • 建立 response，並進行儲存:
- 36. 36Presented By: Duran Hsieh IMPLEMENTING AN AI CHATBOT WITH DIALOGFLOW • 測試:
- 37. 37Presented By: Duran Hsieh IMPLEMENTING AN AI CHATBOT WITH DIALOGFLOW • 加入客製內容 • 加入變數 give-name
- 38. 38Presented By: Duran Hsieh IMPLEMENTING AN AI CHATBOT WITH DIALOGFLOW • 測試:
- 39. 39Presented By: Duran Hsieh IMPLEMENTING AN AI CHATBOT WITH DIALOGFLOW • Fulfillment:
- 40. 40Presented By: Duran Hsieh IMPLEMENTING AN AI CHATBOT WITH DIALOGFLOW • Fulfillment: • 完成後按下 deploy 按鈕
- 41. 41Presented By: Duran Hsieh IMPLEMENTING AN AI CHATBOT WITH DIALOGFLOW • New Intent:
- 42. 42Presented By: Duran Hsieh IMPLEMENTING AN AI CHATBOT WITH DIALOGFLOW • Try: • Hi • I would like to submit a ticket • My name is John • My phone screen is broken
- 43. 43Presented By: Duran Hsieh IMPLEMENTING AN AI CHATBOT WITH DIALOGFLOW • Storage - SQL
- 44. 44Presented By: Duran Hsieh IMPLEMENTING AN AI CHATBOT WITH DIALOGFLOW • Try:
- 45. CLOUD ML ENGINE: QWIK START
- 46. 46Presented By: Duran Hsieh CLOUD ML ENGINE: QWIK START • Install TensorFlow
- 47. 47Presented By: Duran Hsieh CLOUD ML ENGINE: QWIK START • 取得API KET，寫入環境變數
- 48. 48Presented By: Duran Hsieh CLOUD ML ENGINE: QWIK START • 取得API KET，寫入環境變數
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