Emotion Detection and Classification Django Application

This is a Django-based web application for emotion classification. The project includes a machine learning model for classifying emotions, which is implemented in a Jupyter Notebook.

Project Structure

• code - Contains the Django project files and Jupyter Notebook for emotion classification model training and testing.
• README.md - This file.

Requirements

• Python 3.x
• Django 3.x (or the version you are using)
• Jupyter Notebook
• Required Python libraries

Installation

1. Clone the repository:

   https://github.com/Shreyaprasad21/Emotion-Detection-Application.git
   cd code/Emotion Classification.ipynb

2. Create a virtual environment and activate it:

   python -m venv env
   source env/bin/activate  # On Windows use `env\Scripts\activate`

3. Install the dependencies

4. Navigate to the Django project directory:

   cd mysite

5. Apply migrations:

   python manage.py migrate

Running the Application

1. Navigate to the Django project directory (if not already there):

   cd mysite

2. Run the Django development server:

   python manage.py runserver

3. Open your web browser and go to http://127.0.0.1:8000/home to see the application running.

Contributing

If you would like to contribute to this project, please fork the repository and submit a pull request.