Update README.md

README.md

@@ -4,18 +4,19 @@ emoji: 🛠
 colorFrom: gray
 colorTo: gray
 sdk: docker
-app_port: 6333 # <--- ADD/CHANGE THIS LINE!
+app_port: 6333
+short_description: Qdrant Vector Database Server
 ---
 
 # Qdrant Vector Database Server on Hugging Face Spaces
 
-This Space hosts a Qdrant vector database instance.
+This Space hosts a Qdrant vector database instance. This is just a Infrastructural component and doesnt not serve any user application through its User Interface.
 
 **Persistence:** Data is stored persistently in the `/data/qdrant_data` directory due to enabled persistent storage.
 
 **Endpoints:**
-* HTTP/REST API: Available at `http://<your-space-url>:6333`
-* gRPC API: Available at `http://<your-space-url>:6334`
+* HTTP/REST API: Available at `https://giz-chatfed-qdrantserver.hf.space:6333`
+* gRPC API: Available at `https://giz-chatfed-qdrantserver.hf.space:6334`
 
 **How to connect:**
 From your client application (e.g., your embedding microservice), use the `qdrant-client` with the host set to your Space's direct URL and the appropriate port:
@@ -24,9 +25,12 @@ From your client application (e.g., your embedding microservice), use the `qdran
 from qdrant_client import QdrantClient
 
 # Replace with your actual Space URL (e.g., [https://your-username-qdrant-server.hf.space](https://your-username-qdrant-server.hf.space))
-QDRANT_SPACE_URL = "[https://your-username-qdrant-server.hf.space](https://your-username-qdrant-server.hf.space)"
+QDRANT_HOST = "giz-chatfed-qdrantserver.hf.space"
 # Use port 6334 for gRPC or 6333 for HTTP REST (when connecting from client)
 # The app_port in README.md is just for HF's internal health check
-client = QdrantClient(host=QDRANT_SPACE_URL, port=6334)
-# OR client = QdrantClient(url=f"http://{QDRANT_SPACE_URL}:6333") if using HTTP/REST
+client = QdrantClient(
+    host = QDRANT_HOST,
+    port=443,  # very important that port to be used for python client
+    https=True,
+    api_key = <QDRANT_API_KEY>,)
 ```