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https://github.com/saritaphd/text-summarization-project-with-deployment
Natural language processing (NLP) project with deployment
https://github.com/saritaphd/text-summarization-project-with-deployment
nlp pyhton
Last synced: 3 days ago
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Natural language processing (NLP) project with deployment
- Host: GitHub
- URL: https://github.com/saritaphd/text-summarization-project-with-deployment
- Owner: SaritaPhD
- License: mit
- Created: 2023-10-14T11:08:48.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2023-10-30T13:54:24.000Z (about 1 year ago)
- Last Synced: 2024-01-27T02:34:11.838Z (10 months ago)
- Topics: nlp, pyhton
- Language: Python
- Homepage:
- Size: 48.8 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# 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
```bash
https://github.com/entbappy/End-to-end-Text-Summarization
```
### STEP 01- Create a conda environment after opening the repository```bash
conda create -n summary python=3.8 -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
```# 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: 566373416292.dkr.ecr.us-east-1.amazonaws.com/text-s
## 4. Create EC2 machine (Ubuntu)## 5. Open EC2 and Install docker in EC2 Machine:
#optinalsudo apt-get update -y
sudo apt-get upgrade
#requiredcurl -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.ap-south-1.amazonaws.com
ECR_REPOSITORY_NAME = simple-app