Sentiment App

This app offers a fullt trained BERT to allow sentiment analysis of a given text. The detection can be made using an API endpoint (Local) or (Cloud)

Installation

• Local PC:

  • git clone
  • cd sentimentapp/project
  • pip install -r requirements.txt
  • Goto "saved_mode" dir and donload the pretrained model from readme
  • Open console and input : uvicorn main:app

  This will start a local server at localhost:8000

  Goto localhost:8000/docs to see the API Documentation

• Docker

  • git clone
  • cd sentimentapp/project
  • docker build . -t dev_foundry
  • docker run -d --name dev_curr -p 80:80 dev_foundry

  This will start a local server at localhost:80

  Goto localhost:80/docs to see the API Documentation

Use the App Without Installation

This App is currently hosted on Google Cloud and hence can be used directly.

Goto: https://foundry-6nmnvycfcq-uc.a.run.app/docs#/ to see the API Documentation

Note : If you want to host your own image on cloud follow this:

1. Make a docker image of the project (Follow docker_instructions in the Instructions folder)
2. Follow "cloud_installation.txt" in the Instructions folder

Features

• Robust text classification
• Live cloud hosted module for 24x7 support
• Documented API for easier usage