labrijisaad / ml-learning-app

Machine Learning App

Getting Started

Welcome to the test Machine Learning App! Whether you prefer local development or containerized deployment, getting started is a breeze.

Local Development

1. Clone the Repository:

   git clone <repository-url>
   cd <repository-directory>

2. Create .env File:

   • Copy .env.template to .env
   • Update the necessary environment variables in the newly created .env file.

3. Set Up Virtual Environment:

   make venv-setup

4. Install Dependencies:

   make venv-install

5. Run the Application:

   make local-run

Containerized Deployment with Docker

1. Clone the Repository:

   git clone <repository-url>
   cd <repository-directory>

2. Create .env File:

   • Copy .env.template to .env
   • Update the necessary environment variables in the newly created .env file.

3. Build and Run Docker Container:

   make all-docker

4. Clean Up (Optional):

   make clean

Now you're ready to analyze sentiments with ease using the Sentiment Analysis App! 🚀📊