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| # 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. | |
| ```bash | |
| python3 -m venv venv | |
| source venv/bin/activate | |
| ``` | |
| ### 3. Install Dependencies | |
| Install the required Python packages using `pip`: | |
| ```bash | |
| pip install -r requirements.txt | |
| ``` | |
| ### 4. Run the Application | |
| Once the dependencies are installed, you can run the Flask application: | |
| ```bash | |
| #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 | |
| ``` | |