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Social Media Web Application. WallPair: A dynamic social app powered by Python, Django & MySQL. Share captivating image comparisons, fueled by MVC architecture for clean code and interactive discussions. Compare YouTubers seamlessly via YouTube API. Join us in revolutionizing social media with visual storytelling.And MySQL as database.

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WallPair Project

This is the WallPair project, a Django web application where user can upload two pictures as poll and other users can react on it via likes and comments.It also uses youtube api for youtube related posts

Installation

Prerequisites

  • Python 3.x
  • pip (Python package installer)

Setup

  1. Clone the repository:

    git clone https://github.com/yourusername/wallpair.git
  2. Navigate to the project directory:

    cd wallpair
  3. Create a virtual environment (optional but recommended):

    python3 -m venv venv
  4. Activate the virtual environment:

    • On Windows:
    venv\Scripts\activate
    • On macOS and Linux:
    source venv/bin/activate
  5. Install the project dependencies:

    pip install -r requirements.txt

Configuration

  1. Configure the settings:

    • Copy the example_settings.py file to settings.py:
    cp wallpair/settings/example_settings.py wallpair/settings/settings.py
    • Modify wallpair/settings/settings.py as needed, adding your database, API keys, and other configuration.
  2. Apply database migrations:

    python manage.py migrate

Running the Application

  1. Run the development server:

    python manage.py runserver
  2. Access the application in your web browser at http://127.0.0.1:8000/.

Contributing

If you'd like to contribute to this project, feel free to fork the repository and create a pull request.

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Social Media Web Application. WallPair: A dynamic social app powered by Python, Django & MySQL. Share captivating image comparisons, fueled by MVC architecture for clean code and interactive discussions. Compare YouTubers seamlessly via YouTube API. Join us in revolutionizing social media with visual storytelling.And MySQL as database.

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  • JavaScript 45.2%
  • HTML 38.0%
  • CSS 9.0%
  • Python 7.8%