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ziadhany

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