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Q & A Site With ML

An attempt to clone Quora's similar questions ML capability. A question-answer platform where users can ask questions and get answers from other users.

Screenshots

Similar Questions shown when adding a new question. (This section comes under dashboard and requires a user login)

Similar Questions

Login as a user

Login Page

Register an account

Registration Page

Dashboard that is visible after a successful login

Dashboard

Question format expectations when asking a question

Question Format

Viewing an already asked question

Already asked question

Developer Setup

Requirements

  • Python 3.7.9
  • Node v14.16.0
  • Docker & docker-compose
  • vocab file. Download here. Then place it within Backend/model_api/model/

Pre-setup

Setup the basic backend db

  • Go to Backend directory and run docker-compose

    docker-compose -f docker-compose.dev.yaml up -d

Backend - Common

  • Move to Backend directory

  • Add virtual environment using

    python -m venv env

  • Activate virtual environment how-to-activate - this depends on OS

  • Install project dependencies

    pip install -r requirements.txt

  • Create a .env file at the root of the Backend folder using the contents of .env.sample file.

Backend - ML API (Flask)

  • Move to Backend\model_api\ directory

  • (Optional) To add hot-reloading, Add environment variable by running

    export FLASK_DEBUG=1

    export FLASK_APP=app.py

  • Run the app

    python app.py

Backend - Django

  • Move to Backend directory

  • Run migrations

    python manage.py migrate

  • Start the app

    python manage.py runserver

Frontend

  • Move to frontend directory

  • Install node dependencies

    npm -i

  • Start the node application

    npm start