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docs: add hugging face section

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@@ -18,6 +18,7 @@ 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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  ## 1. Local development
@@ -145,3 +146,13 @@ bash
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  python
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  > python3 inference_api.py --url https://<api_id>.execute-api.<aws_region>.amazonaws.com/test/classify -d '{"features": [[6.5, 3.0, 5.8, 2.2], [6.1, 2.8, 4.7, 1.2]]}'
 
 
 
 
 
 
 
 
 
 
 
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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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  ## 1. Local development
 
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  python
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  > python3 inference_api.py --url https://<api_id>.execute-api.<aws_region>.amazonaws.com/test/classify -d '{"features": [[6.5, 3.0, 5.8, 2.2], [6.1, 2.8, 4.7, 1.2]]}'
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+ ## 3. Deployment to Hugging Face
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+ This web application is available on Hugging Face
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+ Hugging Face space URL:
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+ https://huggingface.co/spaces/cvachet/iris_classification_lambda
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+ Note: This space uses the ML model deployed on AWS Lambda