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https://github.com/saritaphd/text-summarization-project-with-deployment
Fast API based text summariser with deployment
https://github.com/saritaphd/text-summarization-project-with-deployment
nlp pyhton
Last synced: about 1 month ago
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Fast API based text summariser 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 (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-12-06T06:16:23.000Z (3 months ago)
- Last Synced: 2024-12-06T07:20:28.868Z (3 months ago)
- Topics: nlp, pyhton
- Language: Jupyter Notebook
- Homepage:
- Size: 4.3 MB
- 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
This project is a FastAPI-based web application that provides a text summarization service. It includes endpoints for redirecting to API documentation, initiating a model training process, and generating text summaries. The application leverages a custom PredictionPipeline for summarization tasks and is designed for efficient API interactions.
## 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:
#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 = us-east-1
AWS_ECR_LOGIN_URI = demo>> 566373416292.dkr.ecr.ap-south-1.amazonaws.com
ECR_REPOSITORY_NAME = simple-app