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Merge pull request #2 from weisisheng/patch-1
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README.md

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# Deploy an Machine Learning Service Quickly on Fargate using Streamlit and AWS Copilot
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This repository shows show to rapidly deploy a Machine Learning ML service on Amazon Web Services (AWS) Cloud, using AWS Fargate and Streamlit.
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The primary of focus of this example is how to get an ML service up and running quickly on AWS.
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The primary of focus of this pattern is how to get an ML service up and running quickly on AWS.
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For reference, you will create a text summarization application service using the Hugging Face Transformers library.
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* Machine Learning as Service
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* Automated backend and deploy using the command line and AWS services
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* Automated fronted using AWS Fargate and Steamlit
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* Automated fronted using AWS Fargate and Streamlit
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## Deploy using AWS Copilot
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docker push ${AWS_ACCOUNT_ID}.dkr.ecr.${REGION}.amazonaws.com/summarizer:latest
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```
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Build out copilit using the local image name
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Build out copilot using the local image name
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May need to actually select local image name to build from
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```

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