Spaces:
Sleeping
Sleeping
| title: SL Clinical Assistant | |
| emoji: 🏥 | |
| colorFrom: blue | |
| colorTo: green | |
| sdk: docker | |
| app_port: 3000 | |
| pinned: false | |
| license: mit | |
| # SL Clinical Assistant | |
| A clinical assistant chatbot powered by RAG (Retrieval-Augmented Generation) that helps medical professionals access and understand Sri Lankan medical guidelines. | |
| ## Features | |
| - Interactive chat interface for medical queries | |
| - RAG-based responses using Sri Lankan medical guidelines | |
| - Real-time document processing and vector search | |
| - Modern, responsive UI built with Next.js | |
| - Secure and scalable FastAPI backend | |
| ## Development | |
| ```bash | |
| # Install frontend dependencies | |
| cd frontend | |
| npm install | |
| npm run dev | |
| # Install backend dependencies | |
| python -m venv .venv | |
| source .venv/bin/activate # On Windows: .venv\Scripts\activate | |
| pip install -r requirements.txt | |
| python -m uvicorn src.api.main:app --reload | |
| ``` | |
| ## Deployment | |
| The application is deployed on Hugging Face Spaces using Docker. Visit [our Space](https://huggingface.co/spaces/YOUR_USERNAME/sl-clinical-assistant) to try it out. | |
| ## License | |
| MIT |