End-to-End Text_Summarizer Project

Workflows

1. Update config.yaml
2. Update params.yaml
3. Update entity
4. Update the configuration manager in src config
5. Update the components
6. Update the pipeline
7. Update the main.py
8. Update the app.py

How to run?

STEPS

Clone the repository

https://github.com/WillNovus/Text_Summarizer

STEP 01 - Create a conda environment after opening the repository

conda create -n text python=3.8 -y

conda activate text

STEP 02 - Install the requirements

pip install -r requirements.txt

#Finally run the following command
python app.py

Now,

open up your local host and port

Author: Will Gabriel
Role:   Machine Learning Engineer
Email:  gabrielwill666@gmail.com

AWS-CICD-Deployment-with-GitHub-Actions

1. Login to AWS Console

2. Create IAM user for deployment

#with specific access

1. EC2 Access: It is a virtual machine

2. ECR: Elastic Container registry to save your docker image in aws.

#Description: About the deployment

1. Build docker image of the source code

2. Push your docker image to ECR

3. Launch your EC2

4. Pull your image from ECR to EC2

5. Launch your docker image in EC2

#Policy

1. AmazonEC2ContainerRegistryFullAccess

2. AmazonEC2FullAccess

3. Create ECR Repo to store/save docker image

- Save the URI: 566373416292.dkr.ecr..us-east-1.amazonaws.com/catdog

4. Create EC2 machine (Ubuntu)

5. Open EC2 and install docker in EC2 Machine:

#Optional

sudo apt-get update -y

sudo apt-get upgrade

#required

curl -fsSL https://get.docker.com -o get-docker.sh

sudo sh get-docker.sh

sudo usermod -aG docker ubuntu

newgrp docker

6. Configure EC2 as self-hosted runner

setting>actions>runner>new self hosted runner> choose os> then run command one by one

7. Setup github secrets:

AWS_ACCESS_KEY_ID =
AWS_SECRET_ACCESS_KEY = 
AWS_REGION = us-east-1
AWS_ECR_LOGIN_URI = demo>> 566373416292.dkr.ecr..us-east-1.amazonaws.com
ECR_REPOSITORY_NAME = simple-app