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Open Source Science

https://github.com/kumarrohan67/text-summarization

https://github.com/kumarrohan67/text-summarization

Science Score: 13.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ○
    .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (9.3%) to scientific vocabulary
Last synced: 4 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: Kumarrohan67
  • License: mit
  • Language: CSS
  • Default Branch: main
  • Size: 12.7 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 1 year ago · Last pushed 9 months ago
Metadata Files
Readme License

README.md

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 conponents
  6. update the pipeline
  7. update the main.py
  8. update the app.py

How to run?

STEPS:

Clone the repository

STEP 01- Create a conda environment after opening the repository

bash conda create -n summary python=3.9 -y

bash conda activate summary

STEP 02- install the requirements

bash pip install -r requirements.txt

```bash

Finally run the following command

python app.py ```

Now, bash open up you local host and port

```bash Author: Rohan Kumar Student IIT Kharagpur Email: rohansinghchouhan2@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 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: 010928188013.dkr.ecr.ap-southeast-2.amazonaws.com/texts

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 = 
##

Owner

  • Name: Rohan Kumar
  • Login: Kumarrohan67
  • Kind: user

GitHub Events

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