File tree Expand file tree Collapse file tree 1 file changed +5
-3
lines changed
Expand file tree Collapse file tree 1 file changed +5
-3
lines changed Original file line number Diff line number Diff line change 11# Deploy an Machine Learning Service Quickly on Fargate using Streamlit and AWS Copilot
22
33This repository shows show to rapidly deploy a Machine Learning ML service on Amazon Web Services (AWS) Cloud, using AWS Fargate and Streamlit.
4- The primary of focus of this example is how to get an ML service up and running quickly on AWS.
4+
5+ The primary of focus of this pattern is how to get an ML service up and running quickly on AWS.
6+
57For reference, you will create a text summarization application service using the Hugging Face Transformers library.
68
79
@@ -10,7 +12,7 @@ For reference, you will create a text summarization application service using th
1012
1113* Machine Learning as Service
1214* Automated backend and deploy using the command line and AWS services
13- * Automated fronted using AWS Fargate and Steamlit
15+ * Automated fronted using AWS Fargate and Streamlit
1416
1517## Deploy using AWS Copilot
1618
@@ -88,7 +90,7 @@ docker tag summarizer:latest ${AWS_ACCOUNT_ID}.dkr.ecr.${REGION}.amazonaws.com/s
8890docker push ${AWS_ACCOUNT_ID}.dkr.ecr.${REGION}.amazonaws.com/summarizer:latest
8991```
9092
91- Build out copilit using the local image name
93+ Build out copilot using the local image name
9294May need to actually select local image name to build from
9395
9496```
You can’t perform that action at this time.
0 commit comments