Upload README.md

README.md

@@ -1,3 +1,12 @@
+---
+title: BGE-M3 Multilingual Embedding Server
+emoji: 🚀
+colorFrom: blue
+colorTo: indigo
+sdk: docker
+pinned: false
+---
+
 # BGE-M3 Multilingual Embedding Server
 
 A high-performance, robust, and production-ready embedding server utilizing the **BGE-M3** model. This server is designed to provide dense, multilingual embeddings with features like batch processing, automatic GPU/CPU detection, and strict security guards.
@@ -100,9 +109,9 @@ You can deploy the server easily using Docker and Docker Compose. This is the re
 docker-compose up --build -d
 ```
 
-This will start the server on the port defined in your `.env` (default `8000`).
+This will start the server on the port defined in your `.env` (default `7860`).
 # Note: After building the image if u want to run the image without code just use this command
-# docker run -d --restart unless-stopped --name embed-server -p 8000:8000 --env-file .env vector-embedding-server-embed-server:latest
+# docker run -d --restart unless-stopped --name embed-server -p 7860:7860 --env-file .env vector-embedding-server-embed-server:latest
 # here vector-embedding-server-embed-server:latest is the image name which is build
 # .env should have the Configuration specified in the .env.example file
 
@@ -134,7 +143,7 @@ The server logs will confirm if `cuda` is being used.
 
 After building the image, run the container using:
 ```
-docker run -d --restart unless-stopped --name embed-server -p 8000:8000 --env-file .env vector-embedding-server-embed-server:latest
+docker run -d --restart unless-stopped --name embed-server -p 7860:7860 --env-file .env vector-embedding-server-embed-server:latest
 ```
 # Requirements