Welcome to the Emotion Detector Django project! This project aims to analyze and detect emotions from web-rct images and implementing to open cv.

• Getting Started
  • Prerequisites
  • Installation
• Usage
• Contributing
• License

Before you begin, ensure you have met the following requirements:

• Python (version 3.11)
• Django (version 4.2.3)
• Other project dependencies listed in requirements.txt

1. Extract the zip file:

Extract the zip file and open the terminal

2. Navigate to the project directory:

cd EmotionDetector

3. Install dependencies using pip:

pip install -r requirements.txt

4. Create and apply the database migrations:

python manage.py makemigrations
python manage.py migrate

5. Run the development server:

python manage.py runserver

open a new terminal and run python3 to download the model and make sure you are with in the virtual environment of the project

python3
from deepface import DeepFace

# download the deepface model
DeepFace.build_model("Gender")
DeepFace.build_model("Emotion")
DeepFace.build_model("VGG-Face")

6. Redis Configuration

To install Redis on a Linux system, you can follow these general steps. The exact commands may vary slightly depending on your Linux distribution. Here, I'll provide instructions for a few popular distributions: Ubuntu, CentOS, and Debian.

1. Update the package list to make sure you have the latest information about available packages:

   sudo apt update

2. Install Redis:

   sudo apt install redis-server

3. Start the Redis service and enable it to start on boot:

   sudo systemctl start redis-server
   sudo systemctl enable redis-server

4. Verify that Redis is running:

   sudo systemctl status redis-server

1. Update the package list:

   sudo yum update

2. Install Redis:

   sudo yum install redis

3. Start the Redis service and enable it to start on boot:

   sudo systemctl start redis
   sudo systemctl enable redis

4. Verify that Redis is running:

   sudo systemctl status redis

1. Update the package list:

   sudo apt update

2. Install Redis:

   sudo apt install redis-server

3. Start the Redis service and enable it to start on boot:

   sudo systemctl start redis-server
   sudo systemctl enable redis-server

4. Verify that Redis is running:

   sudo systemctl status redis-server

After these steps, Redis should be installed and running on your Linux system. You can configure and use Redis as needed for your specific use cases.

7. Run the celery worker: Open a new terminal and run the command below. Also make sure redis is active and running in the background

 celery -A EmotionDetector worker --loglevel=info

8. Open your web browser and navigate to http://127.0.0.1:8000/ to access the Emotion Detector app.

Remember to customize the README according to your project's specific details, including installation steps, usage instructions, and any additional information you want to provide to users and potential contributors.