Spaces:
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Sleeping
| title: Mental Health Counselor API | |
| emoji: 🧠 | |
| colorFrom: indigo | |
| colorTo: purple | |
| sdk: docker | |
| app_port: 7860 | |
| pinned: false | |
| # Mental Health Counselor API | |
| This is the backend API for a mental health counseling application. It provides endpoints for analyzing patient messages, suggesting counselor responses, and managing counseling sessions. | |
| ## API Endpoints | |
| - `/` - Root endpoint showing API status | |
| - `/health` - Health check endpoint | |
| - `/metadata` - API metadata and information | |
| ## Technology Stack | |
| - FastAPI framework | |
| - Scikit-Learn based ML models | |
| - NLTK for NLP processing | |
| - Vector database for semantic search | |
| ## Deployment | |
| This API is deployed on Hugging Face Spaces using Docker. | |
| ## Frontend | |
| The frontend for this application is deployed separately on Vercel. | |
| ## Repository Structure | |
| - `app.py` - Main application entry point | |
| - `api_mental_health.py` - Core API functionality | |
| - `data/` - Data storage directories | |
| - `mental_health_model_artifacts/` - ML model files | |