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MLOps-Driven Text Sentiment Analysis Platform

Overview

This platform is designed to leverage the latest in MLOps practices to provide an end-to-end text sentiment analysis service. It incorporates advanced NLP models through HuggingFace's Transformers, offering a comprehensive solution from user authentication to sentiment analysis, all deployed within a robust, scalable MLOps architecture.

Features

  • Sentiment Analysis: Utilize HuggingFace's transformers for cutting-edge sentiment analysis.(OK)
  • Secure User Authentication: Ensure secure access with a dedicated authentication service. (OK)
  • Interactive UI: Engage with the service through a Streamlit-based frontend. (OK)
  • Containerization: Leverage Docker and DockerHub for consistent deployment across environments. (OK)
  • Scalable Deployment: Utilize Kubernetes and Helm for scalable, manageable deployment processes. (OK)
  • Continuous Integration and Delivery: Automate workflows with GitHub Actions for code quality checking , seamless integration and delivery. (WIP)
  • Managed Kubernetes: Deploy on Google Kubernetes Engine for robust, scalable cloud infrastructure.

Tech Stack

  • Poetry + Justfiles
  • HuggingFace's Transformers Pipeline
  • FastAPI
  • Streamlit
  • Docker + DockerHub
  • Kubernetes + Helm
  • GitHub Actions
  • Google Kubernetes Engine (GKE)

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