Project Overview

Emotion detection from text, simple flask app with j-hartmann/emotion-english-distilroberta-base pre-train model

screencast_fcOAwRtd.mp4

Setup the Environment

• Create a virtualenv with Python and activate it. Refer to this link for help on specifying the Python version in the virtualenv.

python3 -m pip install --user virtualenv
python3 -m virtualenv --python=<path-to-python3.x> .devops
source .devops/bin/activate

• Run make install to install the necessary dependencies
• just download a pre-trained model make download_model_data

Running app.py

1. Standalone: python app.py
2. Run in Docker: ./run_docker.sh
3. Run in Kubernetes: ./run_kubernetes.sh

Kubernetes Steps

• Setup and Configure Docker locally
• Setup and Configure Kubernetes locally
• Create Flask app in Container
• Run via kubectl