Update readme file

README.md

@@ -1,90 +1,54 @@
+---
+title: Healthcare AI Assistant
+emoji: 🏥
+colorFrom: blue
+colorTo: indigo
+sdk: docker
+sdk_version: 1.0.0
+app_file: main.py
+pinned: false
+---
+
 # Healthcare AI Assistant
 
-A FastAPI-based AI assistant that handles healthcare appointment booking and queries in multiple languages.
+A multilingual AI assistant for healthcare appointment management, built with FastAPI and LangChain.
 
 ## Features
 
-- Multi-language support (English and Arabic)
-- Appointment booking and cancellation
-- Sentiment analysis
-- Language detection
-- User-friendly responses
-
-## Setup
-
-1. Create a virtual environment:
-```bash
-python -m venv venv
-source venv/bin/activate  # On Windows: venv\Scripts\activate
-```
+- 🤖 AI-powered appointment management
+- 🌐 Multi-language support (English & Arabic)
+- 📅 Smart appointment scheduling
+- 🎯 Intent recognition
+- 💬 Natural language processing
+- 🔍 Sentiment analysis
+- 🌍 Language detection
 
-2. Install dependencies:
-```bash
-pip install -r requirements.txt
-```
+## Technical Stack
 
-3. Set up environment variables:
-Create a `.env` file in the root directory with the following variables:
-```
-API_BASE_URL=your_api_base_url
-API_KEY=your_api_key
-```
+- FastAPI for API endpoints
+- LangChain for AI processing
+- Ollama for LLM integration
+- HuggingFace for language models
+- Docker for containerization
 
-## Running the Application
-
-Start the FastAPI server:
-```bash
-uvicorn main:app --reload
-```
-
-The API will be available at `http://localhost:8000`
+## API Endpoints
 
-## API Documentation
+### POST /query
+Process user queries and return AI-generated responses.
 
-Once the server is running, you can access:
-- Interactive API documentation: `http://localhost:8000/docs`
-- Alternative API documentation: `http://localhost:8000/redoc`
+### GET /health
+Health check endpoint for service monitoring.
 
-## API Endpoints
+## Configuration
 
-### POST /query
-Process a user query and return a response.
+The service requires the following environment variables:
+- `API_BASE_URL`: Base URL for the backend API
+- `API_KEY`: Authentication key for API access
 
-Request body:
-```json
-{
-    "query": "string",
-    "language": "string (optional)"
-}
-```
+## Deployment
 
-Response:
-```json
-{
-    "routing_info": {
-        "endpoint": "string",
-        "method": "string",
-        "parameters": {}
-    },
-    "api_response": {},
-    "user_friendly_response": "string",
-    "detected_language": "string",
-    "sentiment": {
-        "compound": float,
-        "pos": float,
-        "neu": float,
-        "neg": float
-    }
-}
-```
+This service is containerized using Docker and can be deployed on any platform that supports Docker containers.
 
-### GET /health
-Health check endpoint.
+## License
 
-Response:
-```json
-{
-    "status": "healthy",
-    "service": "healthcare-ai-assistant"
-}
-``` 
+MIT License