Add README file

README.md

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+# IRIS classification task with AWS Lambda
+
+## Workflow: use of AWS lambda function for deployment
+Steps to Deploy
+
+### Training the Model:
+
+bash
+> python train.py
+
+### Building the docker image:
+
+bash
+> docker build -t iris-lambda .
+
+### Running the docker container locally:
+
+bash
+
+> docker run --name iris-lambda-cont -p 8080:8080 iris-lambda
+
+
+### Testing locally:
+
+Use a tool like curl to send a test request:
+
+bash
+> curl -XPOST "http://localhost:8080/2015-03-31/functions/function/invocations" -d '{"body": "{\"features\": [[6.5, 3.0, 5.8, 2.2], [6.1, 2.8, 4.7, 1.2]]}"}'
+
+Deploy to AWS Lambda: Package the code and dependencies, then upload to AWS Lambda via the AWS Management Console or AWS CLI.
+
+This setup provides a complete pipeline from training the model to deploying it on AWS Lambda.