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docs: improve first section

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  1. README.md +9 -2
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@@ -12,10 +12,17 @@ short_description: IRIS Classification Lambda
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  # IRIS classification task with AWS Lambda
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- Workflow: use of AWS lambda function for deployment
 
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- <b>Menu: </b>
 
 
 
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  - [Local development](#1-local-development)
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  - [AWS deployment](#2-deployment-to-aws)
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  - [Hugging Face deployment](#3-deployment-to-hugging-face)
 
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  # IRIS classification task with AWS Lambda
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+ <b>Aims:</b> Categorization of different species of iris flowers (Setosa, Versicolor, and Virginica)
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+ based on measurements of physical characteristics (sepals and petals).
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+ <b>Architecture:</b>
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+ - Front-end: user interface via Gradio library
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+ - Back-end: use of AWS Lambda function to run deployed ML model
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+ You can try out our deployed [Hugging Face Space](https://huggingface.co/spaces/cvachet/iris_classification_lambda
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+ )!
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+
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+ <b>Table of contents: </b>
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  - [Local development](#1-local-development)
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  - [AWS deployment](#2-deployment-to-aws)
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  - [Hugging Face deployment](#3-deployment-to-hugging-face)