Text Emotion Analyzer

Welcome to the Text Emotion Analyzer, a Django-based web application for analyzing the emotional content of text using machine learning models.

Installation

Prerequisites

• Python 3.x
• Virtualenv

Steps

1. Clone the Repository:

   git clone https://github.com/KCprsnlcc/DjangoAnalyzer.git
   cd DjangoAnalyzer

2. Create and Activate Virtual Environment:

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

3. Install Dependencies:

   pip install -r requirements.txt

4. Apply Migrations:

   python manage.py migrate

5. Run the Server:

   python manage.py runserver

6. Open your web browser and go to http://127.0.0.1:8000.

Notes 📓

• Ensure the pre-trained emotion detection model (tf_model.h5) is present in the predictivemodel directory.
• Adjust the analyzer/views.py file to suit your specific requirements for emotion analysis.

Contributing

Contributions are welcome! Please create an issue or submit a pull request for any improvements or bug fixes.

Contact

For any questions or inquiries, please contact kcpersonalacc@gmail.com.

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Thank you for using our Text Emotion Analyzer! Your feedback is valuable to us. 🧡