End to end Text-Summarizer Project

Workflow

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 the app ?

STEPS:

Clone the repository

https://github.com/ladiyusuph/Text-Summarizer

STEP 1- Create a conda environment after opening the repository

conda create -n txt_sum python=3.8 -y

conda activate txt_sum

STEP 2- install the requirements

pip install -r requirements.txt

# Run the app with the following command
python app.py

Now,

open up you local host and port

Author: Ladi Yusuph

AWS-CICD-Deployment-with-Github-Actions

Step 1: Login to AWS console.

Step 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

Step 3: Create ECR repo to store/save docker image

- Save the URI: 379434898136.dkr.ecr.us-east-1.amazonaws.com/text_summarizer

Step 4: Create EC2 machine (Ubuntu)

Step 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

Step 6: Configure EC2 as self-hosted runner

Step 7: Setup github secrets

AWS_ACCESS_KEY_ID=

AWS_SECRET_ACCESS_KEY=

AWS_REGION =

AWS_ECR_LOGIN_URL = 

ECR_REPOSITORY_NAME =