Readme and app.py

README.md

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+---
+title: Medical RAG API
+emoji: 🏥
+colorFrom: blue
+colorTo: green
+sdk: docker
+pinned: false
+---
+
+# Agentic Medical RAG API
+
+A medical question-answering system using Retrieval-Augmented Generation (RAG) with agentic capabilities.
+
+## Features
+
+- Medical document retrieval using FAISS vector store
+- Question answering with context-aware responses
+- RESTful API built with FastAPI
+- Docker containerized deployment
+
+## API Endpoints
+
+- `GET /`: Health check
+- `POST /ask`: Submit medical questions and get AI-powered answers
+
+## Usage
+
+Send a POST request to `/ask` with your medical question in the request body.

app.py

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+"""
+Startup script for Medical RAG AI Advisor API
+"""
+import sys
+import os
+import uvicorn
+
+# Add core to Python path
+sys.path.append(os.path.join(os.path.dirname(__file__), 'core'))
+
+if __name__ == "__main__":
+    
+    uvicorn.run(
+        "api.app:app",
+        host="127.0.0.1",  # Use localhost instead of 0.0.0.0
+        port=8000,
+        reload=True,  # Disable reload in production for faster startup
+        log_level="info",
+        access_log=True,
+        workers=1  # Single worker for development
+    )