End to End Text Summarization Project

Workflows

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

How to run?

STEPS:

Clone the repository

https://github.com/fosetorico/text_summarizer_nlp.git

Create a conda environment after opening the repository

conda create -n env python=3.10 -y

conda activate env

Install the requirements

pip install -r requirements.txt

Finally run the following command

python app.py

Now,

open up you local host and port

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 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 in EC2
5. Lauch your docker image in EC2

#Policy:
1. AmazonEC2ContainerRegistryFullAccess
2. AmazonEC2FullAccess

3. Create ECR repo to store/save docker image

- Save the URI:

4. Create EC2 machine (Ubuntu)

5. Open EC2 and Install docker in EC2 Machine:

#optinal
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 = 
AWS_ECR_LOGIN_URI = 
ECR_REPOSITORY_NAME =