Sentiment Classifier

Sentiment classification webapp based on the 1-P-3-ISEAR dataset. The front end is handled by streamlit and the backend with a FastAPI service.

Instructions for Use:

1. Install docker engine. (https://docs.docker.com/engine/install/).

For Ubuntu or similar systems, open terminal and run:

sudo apt-get update
sudo apt-get install docker-ce docker-ce-cli containerd.io

For arch linux, open terminal and run:

sudo pacman -Syu docker

2. You need a docker service running in the background. Run command:

sudo dockerd

3. To build the application, go to the folder containing docker-compose.yml and run command:

docker-compose build

4. To run the application, run command:

docker-compose up

5. Click on the "Network URL". You will be redirected to a web browser where the model is running.

Screenshots