smartphone_customer_review_sentiment_analyzer_app

A Python App NLP which Analyses the E-Commerce Product customer review with NLP techniques and Transformers models like RoBERTa and BERT and shows overall polarity of the review based on features of phones categories like Camera, Display, Battery, Performance based on the keywords

Workflows

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

How to run?

STEPS:

Clone the repository

https://github.com/naveentnj/smartphone_customer_review_sentiment_analyzer_app

STEP 01- Create a conda environment after opening the repository

conda create -n summary python=3.9.16 -y

conda activate summary

STEP 02- install the requirements

pip install -r requirements.txt

# Finally run the following command
python app.py

Now,

open up you local host and port

Author: Naveen R
Data Scientist
Email: [email protected]

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: xxxxxxxxxx92.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

8. Future updates

#Description: About the future update deployment

1. Can be integrated with SQL Database

2. Auto Scrapping of Ecommerce Features will be added

3. Better UI updates

4. Training Pipelines will be updated for better alignment with the review datasets