Emotion 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

• mysite - Contains the Django project files.
• Emotion Classification.ipynb - Jupyter Notebook for emotion classification model training and testing.
• LICENSE - The license for the project.
• 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:

   git https://github.com/himankgupta1/Emotion-Classification-Application.git
   cd Emotion-Classification-Application

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.

License

This project is licensed under the terms of the MIT license. See the LICENSE file for details.

Contributing

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