vancyferns
added textModel files to github repo
2a89678

Text Emotion Detection API

This is a Flask-based API that uses a pre-trained transformer model to detect emotions from text.

How to Run

1. Prerequisites

Make sure you have Python 3 and pip installed on your system.

2. Create a Virtual Environment (Recommended)

It's a good practice to create a virtual environment to manage project dependencies.

python3 -m venv venv
source venv/bin/activate

3. Install Dependencies

Install the required Python packages using pip:

pip install -r requirements.txt

4. Run the Application

Once the dependencies are installed, you can run the Flask application:

#first run the fix_nlkt.py file
python fix_nltk.py
#once this is succesfull run app.py now you can run /client code in seperate terminal with npm run dev and go to emotionQuestionnare

python app.py