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| title: Empathetic Chatbot | |
| emoji: 💬 | |
| colorFrom: blue | |
| colorTo: purple | |
| sdk: streamlit | |
| sdk_version: 1.49.1 | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| # Emotion-Aware Empathetic Chatbot | |
| An AI-powered chatbot that detects emotions from user messages and provides empathetic responses using advanced NLP techniques. | |
| ## Features | |
| - **Real-time Emotion Detection**: Uses DistilBERT to identify emotions from text | |
| - **RAG System**: Retrieval-Augmented Generation for contextual responses | |
| - **Empathetic Responses**: Tailored responses based on detected emotions | |
| - **Interactive Chat Interface**: Clean, user-friendly Streamlit interface | |
| - **Emotion Analytics**: Track emotion patterns over conversation history | |
| ## How it Works | |
| 1. **Emotion Detection**: Analyzes user input to detect emotions (anger, joy, sadness, optimism) | |
| 2. **Template Retrieval**: Uses FAISS vector search to find relevant response templates | |
| 3. **Response Generation**: Combines emotion-aware templates with empathetic base responses | |
| 4. **Context Awareness**: Maintains conversation history for better responses | |
| ## Technologies Used | |
| - **Streamlit**: Web application framework | |
| - **Transformers**: Emotion detection model (DistilBERT) | |
| - **Sentence Transformers**: Text embeddings for similarity search | |
| - **FAISS**: Vector similarity search | |
| - **Datasets**: Emotion dataset from Cardiff NLP | |
| ## Disclaimer | |
| This is an automated chatbot designed for emotional support. For serious mental health concerns, please consult a qualified mental health professional. |