I am building an AI-based support chatbot for a mental wellness help system.

I need to detect emotional tone in user messages.

I have text input from users and I want to classify emotions like:

sad

anxious

stressed

neutral

I tried using TextBlob and NLTK sentiment analysis, but the accuracy is low.

What Python NLP model or library is best for multi-class emotion detection, and how can I implement it?